Owais Khan | Applied Mathematics | Best Researcher Award

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Assist. Prof. Dr. Owais Khan | Applied Mathematics | Best Researcher Award

Assistant Professor at Integral University India

Dr. Owais Khan is a distinguished researcher and educator in Mathematics, with a strong focus on Artificial Intelligence, Data Science, and Computational Methods πŸ§ πŸ“Š. He holds a Ph.D. and has contributed extensively through impactful publications in reputed international journals πŸ“š. Dr. Khan’s academic journey is marked by innovative teaching methodologies and interdisciplinary research that bridges theory and application across science and technology πŸ”¬πŸ’‘. He has participated in global conferences, fostering collaborations that advance mathematical innovation 🌐🀝. His work continues to inspire the next generation of scholars, reflecting his dedication to academic excellence and research leadership πŸŽ“πŸ…. Passionate about solving real-world problems through mathematics, Dr. Khan’s vision aligns with emerging trends in intelligent systems and digital transformation, making him a leading voice in modern mathematical science πŸ”ŽπŸ’».

Professional ProfileΒ 

Education πŸŽ“πŸ“˜

Dr. Owais Khan earned his Ph.D. in Mathematics with a specialization in Artificial Intelligence and Computational Techniques, establishing a strong academic foundation. His educational journey includes a Master’s and Bachelor’s degree in Mathematics from prestigious institutions πŸ›οΈ. Throughout his academic path, he consistently excelled, earning scholarships and accolades for his analytical aptitude and research excellence. He has also completed advanced certification programs in Data Science and Machine Learning, reinforcing his interdisciplinary expertise πŸ€–πŸ“ˆ. Dr. Khan’s education has equipped him with a blend of theoretical knowledge and computational skills, making him adept at tackling complex scientific challenges. His commitment to lifelong learning and continuous improvement is evident in his engagement with emerging educational platforms and professional development opportunities globally πŸŒπŸ“š.

Professional Experience πŸ§‘β€πŸ«πŸ’Ό

Dr. Owais Khan has held esteemed academic and research positions across top universities and research institutes. With years of experience as a faculty member, he has taught a wide range of undergraduate and postgraduate courses in Mathematics, Data Science, and AI πŸ“ŠπŸ“. In addition to teaching, he has served as a research mentor and thesis advisor, guiding scholars in advanced computational research πŸ”πŸ‘¨β€πŸŽ“. Dr. Khan has contributed to curriculum development and interdisciplinary program design, enhancing academic structures. He also worked on funded projects involving AI-based modeling and predictive analytics. His collaborative approach has led to partnerships with institutions across disciplines, enriching his academic influence. His professional journey reflects a balance between teaching, research, and institutional leadership, underscoring his role as a multifaceted educator and scientist 🌟🏒.

Research Interest πŸ”¬πŸ’‘

Dr. Khan’s research interests lie at the intersection of Mathematics, Artificial Intelligence, and Data-Driven Science. His work explores mathematical modeling, optimization, neural networks, fuzzy logic, and machine learning applications in real-world systems πŸ§ πŸ“‰. He is particularly focused on predictive analytics, intelligent algorithms, and AI-supported decision-making systems. His current projects delve into computational simulations, pattern recognition, and smart data analysis across environmental, medical, and engineering domains βš™οΈπŸŒΏπŸ©Ί. Dr. Khan’s research is characterized by an interdisciplinary framework, aiming to translate theoretical models into practical innovations. His vision is to advance intelligent systems that solve contemporary challenges through mathematically grounded solutions. By integrating traditional mathematical tools with modern AI paradigms, Dr. Khan pushes the frontiers of applied mathematics and scientific discovery πŸš€πŸ“š.

Awards and Honors πŸ†πŸŽ–οΈ

Dr. Owais Khan has received several prestigious awards in recognition of his academic excellence and research contributions. He has been honored with Best Research Paper Awards, Young Scientist Awards, and Academic Excellence Awards from reputed scientific forums and institutions πŸŒŸπŸ“œ. His innovative work in artificial intelligence and mathematical modeling has earned accolades both nationally and internationally. He has also received travel grants and research fellowships for participation in global conferences and collaborative projects 🌍✈️. Dr. Khan is frequently invited as a keynote speaker, reviewer, and editorial board member for international journals and symposiums, further underscoring his scholarly impact πŸ§ΎπŸ—£οΈ. These honors reflect his dedication to pushing the boundaries of research and mentoring the next generation of scientists in his field πŸ§‘β€πŸ”¬πŸ….

Research Skills πŸ› οΈπŸ§ͺ

Dr. Khan possesses a versatile set of research skills, combining theoretical mathematical expertise with advanced computational proficiency. He is adept in programming languages such as Python, R, and MATLAB, which he applies to develop and test AI algorithms and data models πŸ’»πŸ“Š. His analytical capabilities span differential equations, numerical methods, statistical analysis, and optimization. He is skilled in using tools like TensorFlow, Scikit-learn, and SPSS for machine learning and statistical computing πŸ€–πŸ“ˆ. Dr. Khan is also experienced in LaTeX for professional documentation and publishing. His collaborative research methodology and proficiency in data interpretation enable high-impact scientific outputs. He excels in research design, literature synthesis, hypothesis testing, and experimental validation, making him a well-rounded and innovative contributor to multidisciplinary research πŸ”πŸ“‚.

Publications Top Note πŸ“

  • Title: Computable solution of fractional kinetic equations using Mathieu-type series
    Authors: O. Khan, N. Khan, D. Baleanu, K.S. Nisar
    Year: 2019
    Citations: 22
    Source: Advances in Difference Equations

  • Title: A novel densely packed 4Γ—4 MIMO antenna design for UWB wireless applications
    Authors: O. Khan, S. Khan, S.N.K. Marwat, N. Gohar, M. Bilal, M. Dalarsson
    Year: 2023
    Citations: 16
    Source: Sensors, Volume 23(21), Article 8888

  • Title: Computation of new class of integrals involving generalized Galue type Struve function
    Authors: M. Kamarujjama, O. Khan
    Year: 2018
    Citations: 16
    Source: Journal of Computational and Applied Mathematics, Volume 351, Pages 228–236

  • Title: Fractional calculus formulas for Mathieu-type series and generalized Mittag-Leffler function
    Authors: O. Khan, S. Araci, M. Saif
    Year: 2020
    Citations: 15
    Source: Journal of Mathematics and Computational Science, Volume 20, Pages 122–130

  • Title: A type of fractional kinetic equations associated with the (p; q)-extended beta-hypergeometric and confluent hypergeometric functions
    Authors: O. Khan, N.N.U. Khan, J. Choi, K.S. Nisar
    Year: 2021
    Citations: 12
    Source: Nonlinear Functional Analysis and Applications, Volume 26(2), Pages 381–392

  • Title: Certain integral transforms involving the product of Galue type Struve function and Jacobi polynomial
    Authors: O. Khan, M. Kamarujjama, N.U. Khan
    Year: Not Specified
    Citations: 12
    Source: Palestine Journal of Mathematics, Volume 6, Pages 1–9

  • Title: The generalized p‑k‑Mittag‑Leffler function and solution of fractional kinetic equations
    Authors: O. Khan, M. Kamarujjama, N.U. Khan
    Year: 2019
    Citations: 11
    Source: The Journal of Analysis, Pages 1–18

  • Title: Construction of partially degenerate Laguerre-Genocchi polynomials with their applications
    Authors: T. Usman, M. Aman, O. Khan, K.S. Nisar, S. Araci
    Year: 2020
    Citations: 9
    Source: American Institute of Mathematical Sciences

  • Title: Fractional calculus of generalized pk-Mittag-Leffler function using Marichev–Saigo–Maeda operators
    Authors: M. Kamarujjama, N.U. Khan, O. Khan
    Year: 2019
    Citations: 9
    Source: Arab Journal of Mathematical Sciences, Volume 25(2), Pages 156–168

  • Title: Estimation of certain integrals with extended multi-index Bessel function
    Authors: M. Kamarujjama, N.U. Khan, O. Khan
    Year: 2019
    Citations: 9
    Source: Malaya Journal of Matematik, Volume 7(2), Pages 206–212

  • Title: A novel kind of beta logarithmic function and their properties
    Authors: N.U. Khan, S. Husain, O. Khan
    Year: 2022
    Citations: 8
    Source: Hacettepe Journal of Mathematics and Statistics, Volume 52(4), Pages 945–955

  • Title: Extended Type k-Mittag–Leffler Function and Its Applications
    Authors: M. Kamarujjama, N.U. Khan, O. Khan, J.J. Nieto
    Year: 2019
    Citations: 7
    Source: International Journal of Applied and Computational Mathematics, Volume 5, Pages 1–14

  • Title: Fractional calculus of a product of multivariable Srivastava polynomial and multi-index Bessel function in the kernel F-3
    Authors: O. Khan, N. Khan, K.S. Nisar, M. Saif, D. Baleanu
    Year: 2020
    Citations: 4
    Source: Not specified (likely a mathematics journal)

  • Title: Unified approach to the certain integrals of k-Mittag-Leffler type function of two variables
    Authors: O. Khan, N. Khan, K.A. Sooppy
    Year: 2019
    Citations: 2
    Source: Transactions of the National Academy of Sciences of Azerbaijan. Series of Physical-Technical and Mathematical Sciences, Volume 39, Pages 98–108

  • Title: Evaluation of Transforms and Fractional Calculus of New Extended Wright Function
    Authors: N.U. Khan, M.I. Khan, O. Khan
    Year: 2022
    Citations: 1
    Source: International Journal of Applied and Computational Mathematics, Volume 8, Pages 1–14

  • Title: Certain finite integrals involving generalized Wright function
    Authors: N.U. Khan, M.I. Khan, O. Khan
    Year: 2021
    Citations: 1
    Source: Advanced Mathematical Models & Applications, Volume 6(3)

  • Title: Fractional operators and solution of fractional kinetic equations involving generalized hypergeometric function
    Authors: T. Usman, N. Khan, O. Khan, D.A. Juraev
    Year: 2024
    Source: Palestine Journal of Mathematics, Volume 13(3)

  • Title: A novel kind of beta logarithmic function and their properties
    Authors: K. Nabiullah, S. Husain, K. Owais
    Year: 2023
    Source: Hacettepe Journal of Mathematics and Statistics, Pages 1–12

Conclusion πŸ§Ύβœ…

Dr. Owais Khan stands out as a dynamic mathematician, educator, and AI researcher whose work bridges theory and application. His multifaceted profileβ€”from academic excellence and international recognition to interdisciplinary research and technical masteryβ€”illustrates his role as a leader in modern scientific inquiry πŸŒπŸ“˜. With a forward-thinking mindset, he continues to explore how mathematical reasoning can power intelligent systems and solve pressing global challenges. His contributions in academia, research, and professional service reflect his commitment to knowledge advancement and societal betterment πŸ§ πŸ’‘. Dr. Khan remains a source of inspiration to peers and students alike, continually striving for excellence in education, research, and innovation. His journey embodies a blend of intellect, innovation, and integrity, shaping the future of mathematics and artificial intelligence πŸŒŸπŸ“š.

Sohail Ahmad Khan | Applied Mathematics | Young Scientist Award

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Dr. Sohail Ahmad Khan | Applied Mathematics | Young Scientist Award

Research Associate at Quaid I Azam University Islamabad, Pakistan

Dr. Sohail Ahmad Khan πŸŒπŸ“˜, a distinguished researcher from the Department of Mathematics at Quaid-i-Azam University, Islamabad, stands among the world’s Top 2% scientists as recognized by Stanford University πŸŒŸπŸ“Š. With a PhD in Applied Mathematics (2024) and over 127 ISI-indexed publications, his work in fluid mechanics and nanomaterial dynamics πŸ’§πŸ§ͺ has garnered global acclaim. Boasting an H-index of 30 and a cumulative impact factor exceeding 500 πŸ”¬πŸ“ˆ, Dr. Khan is a prolific author and a dedicated reviewer for over 120 high-impact journals. His academic excellence has been honored with multiple international awards πŸ…πŸŒ, fellowships, and top-cited recognitions. As an organizer and contributor to major scientific forums, he consistently drives forward environmental and thermal engineering research 🌱πŸ”₯. Dr. Khan’s dedication, interdisciplinary expertise, and visionary leadership mark him as an outstanding contender for the Young Scientist Award πŸ†πŸ”.

Professional ProfileΒ 

Google Scholar
Scopus Profile
ORCID Profile

Education πŸŽ“πŸ“˜

Dr. Sohail Ahmad Khan’s academic voyage began with a BSc in Mathematics & Physics from the University of Science and Technology, Bannu (2014), followed by an MSc (2017), MPhil (2019), and PhD in Applied Mathematics (2024) from Quaid-i-Azam University, Islamabad. His education reflects a deep-rooted passion for mathematical precision and applied problem-solving πŸ”πŸ“. Throughout his academic progression, Dr. Khan honed his expertise in fluid mechanics, nanomaterial dynamics, and nonlinear analysis, laying a solid foundation for a prolific research career. His consistent academic excellence earned him competitive fellowships at each level, reinforcing his stature as a devoted scholar. From foundational mechanics to advanced computational modeling, his scholastic path showcases an unwavering dedication to unraveling complex real-world phenomena through mathematical elegance πŸ“ŠπŸ”¬.

Professional Experience πŸ‘¨β€πŸ«πŸ’Ό

As a faculty member at Quaid-i-Azam University’s Department of Mathematics, Dr. Khan has played an instrumental role in shaping academic and research landscapes πŸŒπŸ“š. His teaching portfolio spans undergraduate courses such as Calculus, Linear Algebra, Fluid Mechanics, and Mathematical Methods for Statistics, reflecting both depth and breadth in applied mathematics 🧠✏️. Beyond classroom instruction, he has actively participated in curriculum development, academic mentoring, and interdisciplinary collaboration. He’s also taken a leadership role in organizing several international conferences, promoting innovation and scholarly exchange across domains. His editorial service for 120+ high-impact journals underscores his reputation as a rigorous peer and thought leader. Dr. Khan’s professional engagements not only reflect his commitment to knowledge dissemination but also his pivotal role in nurturing the next generation of mathematicians and applied scientists πŸŒŸπŸ“–.

Research Interests πŸ”¬πŸ§ͺ

Dr. Sohail Ahmad Khan’s research pursuits orbit the intricate domains of fluid dynamics, nanomaterial science, thermal transport, and nonlinear partial differential equations πŸ’§πŸŒ‘οΈ. His work primarily addresses real-world problems involving entropy generation, heat and mass transfer, magnetohydrodynamics, and radiative flow phenomenaβ€”topics critical to engineering, environmental science, and biophysics. His interdisciplinary flair merges applied mathematics with computational simulations, offering analytical solutions that bridge theory and practice πŸ§ πŸ’‘. With over 70 publications in Q1 journals and a cumulative impact factor surpassing 500, his innovative approaches have set benchmarks in thermal engineering and sustainable fluid mechanics. Dr. Khan’s cutting-edge investigations not only advance mathematical frontiers but also contribute to addressing global challenges such as energy efficiency, climate impact, and biomedical transport systems 🌍πŸ’₯.

Awards and Honors πŸ…πŸŒŸ

Dr. Khan’s excellence has been celebrated both nationally and internationally. Twice listed among the World’s Top 2% Scientists by Stanford University (2022, 2024) πŸŒπŸ“Š, he stands as a beacon of global impact. His accolades include the International Best Researcher Award, Young Scientist Award, and a prestigious Gold Medal for his PhD research in fluid mechanics πŸ₯‡πŸŒ€. He’s received the Chief Minister Education Endowment Scholarship, MPhil and PhD fellowships, and recognition for publishing top-cited articles in elite journals like ZAMM πŸ“ˆπŸ“š. He has participated in globally significant conferences focused on climate change, water security, and energy ecosystems, often as a keynote speaker or organizer. These accolades underscore his scholarly brilliance, leadership, and sustained contribution to applied mathematical research. His honors not only validate his academic journey but inspire aspiring researchers to aim higher and pursue meaningful, high-impact inquiry πŸ’«πŸ”.

Conclusion πŸ§Ύβœ…

Dr. Sohail Ahmad Khan exemplifies the spirit of innovation, academic rigor, and impactful research πŸ§ πŸ†. With a robust academic foundation, stellar research credentials, and numerous international accolades, he stands as an outstanding candidate for the Young Scientist Award. His influential work in applied mathematics, particularly fluid mechanics and nanomaterial modeling, addresses pressing scientific challenges and resonates across disciplines. Through mentoring, publication, and conference leadership, he continually uplifts the research ecosystem, both locally and globally πŸŒπŸ“’. His remarkable scholarly output, collaborative ethos, and unwavering dedication to excellence position him not only as a formidable mathematician but also as a visionary leader in scientific advancement. In every dimensionβ€”education, research, service, and community engagementβ€”Dr. Khan proves to be a paragon of academic excellence, richly deserving of recognition on the world stage πŸ…πŸŒ.

Publications Top Notes

πŸ”¬ TASA Formulation for Nonlinear Radiative Flow of Walter-B Nanoliquid Invoking Microorganism and Entropy Generation

Authors: T. Hayat, A. Razzaq, S.A. Khan, A. Razaq
Journal: Results in Engineering
Volume: 24, Article: 103346
Year: 2024
Citations: 6

β˜€οΈ Entropy Induced Flow Model for Solar Radiation Through Nanomaterials with Cubic Autocatalysis Reaction

Authors: A. Razaq, S.A. Khan, A. Alsaedi, T. Hayat
Journal: Journal of Magnetism and Magnetic Materials
Volume: 586, Article: 171172
Year: 2023
Citations: 6

🧫 Entropy Generation in Bioconvection Hydromagnetic Flow with Gyrotactic Motile Microorganisms

Authors: S.A. Khan, T. Hayat, A. Alsaedi
Journal: Nanoscale Advances
Volume: 5(18), Pages: 4863–4872
Year: 2023
Citations: 6

♻️ Entropy Generation and Dufour and Soret Effects in Radiative Flow by a Rotating Cone

Authors: S.A. Khan, T. Hayat, A. Alsaedi, S. Momani
Journal: Physica Scripta
Volume: 96(2), Article: 025209
Year: 2020
Citations: 6

🌑️ Entropy Generated Nonlinear Mixed Convective Beyond Constant Characteristics Nanomaterial Wedge Flow

Authors: A. Razaq, T. Hayat, S.A. Khan
Journal: International Communications in Heat and Mass Transfer
Volume: 159, Article: 108000
Year: 2024
Citations: 5

🌊 Non-similar Solutions for Radiative Bioconvective Flow with Soret and Dufour Impacts

Authors: M.W. Ahmad, T. Hayat, A. Alsaedi, S.A. Khan
Journal: Case Studies in Thermal Engineering
Volume: 53, Article: 103873
Year: 2024
Citations: 5

πŸ”₯ Thermal Energy Transport in Nanomaterial Flow with Modified Heat and Mass Transfer Laws

Authors: T. Hayat, A. Razaq, S.A. Khan, M.A. Sial
Journal: Case Studies in Thermal Engineering
Volume: 41, Article: 102647
Year: 2023
Citations: 5

πŸ’‘ Radiative Bioconvective Walter-B Nanoliquid Flow with Soret and Dufour Effects

Authors: S.A. Khan, A. Razaq, T. Hayat, A. Alsaedi
Journal: Case Studies in Thermal Engineering
Volume: 39, Article: 102497
Year: 2023
Citations: 5

βš™οΈ Non-Newtonian Bioconvection in Sutterby Nanoliquid with Thermal Fluctuations and Radiation

Authors: T. Hayat, A. Razaq, S.A. Khan
Journal: Case Studies in Thermal Engineering
Volume: 37, Article: 102271
Year: 2022
Citations: 5

🌐 Bioconvection of Micropolar Nanoliquid with Chemical Reaction and Radiation Effects

Authors: S.A. Khan, A. Razaq, T. Hayat, A. Alsaedi
Journal: Journal of Materials Research and Technology
Volume: 23, Pages: 2889–2901
Year: 2023
Citations: 4

 ⚑ Entropy Generation in Reactive Nanofluid Flow with Frictional Heating and Magnetic Force

Authors: S.A. Khan, T. Hayat, A. Alsaedi
Journal: Physica Scripta
Volume: 96(2), Article: 025209
Year: 2020
Citations: 4

Β πŸŒ€ Bioconvective Nanofluid Flow Through a Rotating Disk Under Joule Heating

Authors: T. Hayat, A. Alsaedi, S.A. Khan
Journal: Journal of Molecular Liquids
Volume: 324, Article: 114717
Year: 2021
Citations: 4

Β πŸ’§ Analysis of Nanofluid Bioconvection in a Porous Medium with Joule Heating and Irreversibility

Authors: T. Hayat, S.A. Khan, A. Alsaedi
Journal: Journal of Molecular Liquids
Volume: 323, Article: 114617
Year: 2021
Citations: 4

Β πŸ§ͺ Bio-Convection of Micropolar Nanoliquid in a Porous Media with Thermophoresis and Soret Effects

Authors: S.A. Khan, A. Alsaedi, T. Hayat
Journal: Journal of Materials Research and Technology
Volume: 21, Pages: 2037–2047
Year: 2022
Citations: 3

Β πŸ”¬ Entropy-Optimized Bio-Convective Flow of Nanofluid in a Porous Medium with Cattaneo–Christov Theory

Authors: T. Hayat, A. Alsaedi, S.A. Khan
Journal: International Journal of Heat and Mass Transfer
Volume: 180, Article: 121769
Year: 2021
Citations: 3

 🌑️ Heat Transfer Characteristics in Nanofluid Flow with Thermal Radiation and Activation Energy

Authors: S.A. Khan, A. Razaq, T. Hayat
Journal: Physica Scripta
Volume: 97(2), Article: 025213
Year: 2022
Citations: 3

Β βš—οΈ Micropolar Nanofluid Bioconvection Over a Stretching Sheet with Joule Heating and Chemical Reaction

Authors: S.A. Khan, T. Hayat, A. Alsaedi
Journal: Case Studies in Thermal Engineering
Volume: 31, Article: 101815
Year: 2022
Citations: 3

Β πŸ”₯ Thermal Radiation and Magnetohydrodynamics in Bioconvective Nanofluid Flow Through Porous Media

Authors: S.A. Khan, A. Alsaedi, T. Hayat
Journal: Journal of Molecular Liquids
Volume: 337, Article: 116453
Year: 2021
Citations: 3

Shijie Zhao | Applied Mathematics | Best Researcher Award

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Assoc. Prof. Dr. Shijie Zhao | Applied Mathematics | Best Researcher Award

Associate Professor at Liaoning Technical University, China

Assoc. Prof. Dr. Shijie Zhao is a distinguished researcher and academic at the Institute of Intelligence Science and Optimization, Liaoning Technical University, China. With a Ph.D. in Optimization and Management Decisions, his expertise lies in metaheuristic optimization, multi-objective optimization, and underwater navigation and positioning. He has made significant contributions through innovative algorithm designs and novel mathematical models, particularly in high-dimensional feature selection and robust navigation techniques. Dr. Zhao has published 9 SCI-indexed journal articles and participated in over 10 nationally and provincially funded research projects. He serves as a reviewer for leading journals including those by Elsevier, Springer, and IEEE, and holds memberships in 13 professional bodies. With strong programming skills, rigorous analytical thinking, and a commitment to scientific innovation, Dr. Zhao has also earned four research awards. His work bridges theoretical mathematics and practical applications, making him a valuable contributor to the global research community in intelligent systems and optimization.

Professional ProfileΒ 

Scopus Profile
ORCID Profile

Education

Assoc. Prof. Dr. Shijie Zhao has a robust academic foundation anchored at Liaoning Technical University, China. He earned his B.S. degree in Science of Information & Computation in 2012, followed by a successive postgraduate and doctoral program in Mathematics and Applied Mathematics from 2012 to 2014. He went on to complete his Ph.D. in Optimization and Management Decisions in 2018. His educational trajectory highlights a deep commitment to the field of mathematical optimization and intelligent systems. Dr. Zhao’s academic excellence is also reflected in his ability to integrate theoretical knowledge with practical problem-solving, laying a strong foundation for his future research. His interdisciplinary approach blends pure mathematics with applied optimization techniques, making him uniquely positioned to contribute to emerging challenges in computational intelligence, machine learning, and navigation systems. His comprehensive training has equipped him with skills in advanced mathematical modeling, algorithm design, and statistical analysisβ€”all crucial for his research trajectory.

Professional Experience

Dr. Shijie Zhao began his professional journey as a faculty member at Liaoning Technical University, where he is now serving as an Associate Professor and Director of the Institute of Intelligence Science and Optimization. Since 2012, he has progressed through a series of academic roles, including a postdoctoral tenure beginning in 2020. He has successfully led and participated in a range of scientific research projects sponsored by institutions such as the China Postdoctoral Science Foundation and the Department of Science & Technology of Liaoning Province. In addition to his teaching responsibilities, he has been actively involved in administrative, academic, and research leadership roles. Dr. Zhao has served as a reviewer for numerous high-impact international journals and conferences and has editorial roles in reputed scientific publications. His contributions to collaborative and interdisciplinary projects underscore his ability to bridge research and real-world applications, enhancing his standing as a key contributor in intelligent systems research.

Research Interest

Assoc. Prof. Dr. Shijie Zhao’s research interests lie at the intersection of intelligent optimization, computational mathematics, and advanced data analytics. He specializes in the development and enhancement of metaheuristic and multi-objective optimization algorithms, addressing both theoretical and application-driven challenges. His work has pioneered novel strategies for high-dimensional feature selection and optimization in machine learning contexts. Another key area of his focus is underwater navigation and positioning, where he has introduced innovative models for enhancing gravity navigation accuracy. With a strong foundation in mathematics, Dr. Zhao combines theoretical rigor with practical applicability, ensuring that his research contributes both to academic knowledge and technological development. His recent work explores how optimization strategies can be integrated into real-time systems, with implications in robotics, autonomous navigation, and engineering design. By addressing complex computational problems, Dr. Zhao’s research plays a vital role in driving forward the capabilities of intelligent systems and adaptive algorithms.

Award and Honor

Dr. Shijie Zhao has earned multiple accolades in recognition of his impactful contributions to scientific research and innovation. He has received four prestigious research awards for his work in intelligent systems, mathematical optimization, and applied computational modeling. His leadership in various national and provincial research initiatives has further cemented his reputation as a top-tier researcher in his domain. In addition to these honors, he has held editorial and reviewer positions for over ten internationally recognized journals, including publications by IEEE, Springer, and Elsevierβ€”an acknowledgment of his expertise and academic integrity. Dr. Zhao is also an active member of 13 professional bodies, reflecting his global engagement and scholarly influence. His participation in high-impact collaborative projects and his growing citation index underscore the recognition and respect he commands in the research community. These honors validate his innovative spirit and unwavering dedication to advancing knowledge in mathematics and intelligent computing.

Conclusion

In conclusion, Assoc. Prof. Dr. Shijie Zhao exemplifies excellence in mathematical research, optimization theory, and intelligent system applications. His educational background, combined with over a decade of professional experience, positions him as a thought leader in his field. Through pioneering contributions to metaheuristic algorithms, multi-objective optimization, and underwater navigation, he bridges the gap between theoretical frameworks and practical technologies. His commitment to research integrity, academic service, and innovation has earned him widespread recognition and professional accolades. As an educator, leader, and scientist, Dr. Zhao’s multifaceted contributions reflect a deep dedication to advancing scientific knowledge and solving complex global challenges. His future endeavors are poised to have even greater impacts on the fields of artificial intelligence, data-driven decision-making, and intelligent navigation. With a strong publication record, a solid foundation in mathematics, and an expanding research network, Dr. Zhao continues to be a prominent and influential figure in the global academic landscape.

Publications Top Notes

  • Title: ID2TM: A Novel Iterative Double-Cross Domain-Center Transfer-Matching Method for Underwater Gravity-Aided Navigation
    Authors: Shijie Zhao, Zhiyuan Dou, Huizhong Zhu, Wei Zheng, Yifan Shen
    Year: 2025
    Source: IEEE Internet of Things Journal

  • Title: OS-BiTP: Objective sorting-informed bidomain-information transfer prediction for dynamic multiobjective optimization
    Authors: Shijie Zhao, Tianran Zhang, Lei Zhang, Jinling Song
    Year: 2025
    Source: Swarm and Evolutionary Computation

  • Title: Mirage search optimization: Application to path planning and engineering design problems
    Authors: Jiahao He, Shijie Zhao, Jiayi Ding, Yiming Wang
    Year: 2025
    Source: Advances in Engineering Software

  • Title: Twin-population Multiple Knowledge-guided Transfer Prediction Framework for Evolutionary Dynamic Multi-Objective Optimization
    Authors: Shijie Zhao, Tianran Zhang, Miao Chen, Lei Zhang
    Year: 2025
    Source: Applied Soft Computing

  • Title: VC-TpMO: V-dominance and staged dynamic collaboration mechanism based on two-population for multi- and many-objective optimization algorithm
    Authors: Shijie Zhao, Shilin Ma, Tianran Zhang, Miao Chen
    Year: 2025
    Source: Expert Systems with Applications

  • Title: A Novel Cross-Line Adaptive Domain Matching Algorithm for Underwater Gravity Aided Navigation
    Authors: Shijie Zhao, Wei Zheng, Zhaowei Li, Huizhong Zhu, Aigong Xu
    Year: 2024
    Source: IEEE Geoscience and Remote Sensing Letters

  • Title: Triangulation topology aggregation optimizer: A novel mathematics-based meta-heuristic algorithm for continuous optimization and engineering applications
    Authors: Shijie Zhao, Tianran Zhang, Liang Cai, Ronghua Yang
    Year: 2024
    Source: Expert Systems with Applications

  • Title: Improving Matching Efficiency and Out-of-Domain Positioning Reliability of Underwater Gravity Matching Navigation Based on a Novel Domain-Center Adaptive-Transfer Matching Method
    Authors: Shijie Zhao, Wei Zheng, Zhaowei Li, Huizhong Zhu, Aigong Xu
    Year: 2023
    Source: IEEE Transactions on Instrumentation and Measurement

  • Title: A dynamic support ratio of selected feature-based information for feature selection
    Authors: Shijie Zhao, Mengchen Wang, Shilin Ma, Qianqian Cui
    Year: 2023
    Source: Engineering Applications of Artificial Intelligence

  • Title: Sea-horse optimizer: a novel nature-inspired meta-heuristic for global optimization problems
    Authors: Shijie Zhao, Tianran Zhang, Shilin Ma, Mengchen Wang
    Year: 2023
    Source: Applied Intelligence

  • Title: Improving the Out-of-Domain Matching Reliability and Positioning Accuracy of Underwater Gravity Matching Navigation Based on a Novel Cyclic Boundary Semisquare-Domain Researching Method
    Authors: Shijie Zhao, Wei Zheng, Zhaowei Li, Huizhong Zhu, Aigong Xu
    Year: 2023
    Source: IEEE Sensors Journal

  • Title: A feature selection method via relevant-redundant weight
    Authors: Shijie Zhao, Mengchen Wang, Shilin Ma, Qianqian Cui
    Year: 2022
    Source: Expert Systems with Applications

  • Title: Dandelion Optimizer: A nature-inspired metaheuristic algorithm for engineering applications
    Authors: Shijie Zhao, Tianran Zhang, Shilin Ma, Miao Chen
    Year: 2022
    Source: Engineering Applications of Artificial Intelligence

  • Title: Improving Matching Efficiency and Out-of-domain Reliability of Underwater Gravity Matching Navigation Based on a Novel Soft-margin Local Semicircular-domain Re-searching Model
    Authors: Shijie Zhao, Wei Zheng, Zhaowei Li, Huizhong Zhu, Aigong Xu
    Year: 2022
    Source: Remote Sensing

  • Title: Improving Matching Accuracy of Underwater Gravity Matching Navigation Based on Iterative Optimal Annulus Point Method with a Novel Grid Topology
    Authors: Shijie Zhao, Wei Zheng, Zhaowei Li, Aigong Xu, Huizhong Zhu
    Year: 2021
    Source: Remote Sensing

  • Title: A Novel Quantum Entanglement‐Inspired Meta‐heuristic Framework for Solving Multimodal Optimization Problems
    Authors: Shijie Zhao
    Year: 2021
    Source: Chinese Journal of Electronics

  • Title: A Novel Modified Tree‐Seed Algorithm for High‐Dimensional Optimization Problems
    Authors: Shijie Zhao
    Year: 2020
    Source: Chinese Journal of Electronics

 

Arnulfo LuΓ©vanos Rojas | Mathematical Engineering | Mathematical Engineering Excellence Award

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Dr. Arnulfo LuΓ©vanos Rojas | Mathematical Engineering | Mathematical Engineering Excellence Award

Professor and Researcher at Universidad AutΓ³noma de Coahuila, Mexico

Dr. Arnulfo LuΓ©vanos Rojas is a distinguished professor and researcher at Universidad AutΓ³noma de Coahuila, with over 40 years of academic and research experience in mathematical engineering. Holding a PhD in Engineering with a specialization in Planning and Construction Systems, he has made significant contributions to mathematical modeling in structural engineering. He has authored 141 journal articles, 10 books, and served as a guest editor for Mathematics, with an h-index of 20 and over 1,186 citations. His groundbreaking research on beam and footing models has optimized structural design, minimizing cost and improving efficiency. Recognized with prestigious awards such as the Researcher of the Year and inclusion in the World’s Top 2% Scientists List, he has supervised 24 PhD theses and led multiple consultancy projects. His extensive collaborations in international journals and committees further underscore his influence, making him a leading figure in applied and computational mathematics within engineering.

Professional ProfileΒ 

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Education

Dr. Arnulfo LuΓ©vanos Rojas holds an extensive academic background in engineering and applied mathematics. He earned a degree in Civil Engineering, followed by a Master of Science specializing in Planning and Construction of Works. Further enhancing his expertise, he completed a Master’s in Administration and a specialization in Structural Engineering. His academic journey culminated with a PhD in Engineering, focusing on Planning and Construction Systems, which laid the foundation for his groundbreaking research in mathematical modeling and structural optimization. His multidisciplinary education has equipped him with the knowledge to integrate mathematical theories with real-world engineering applications, particularly in designing efficient and cost-effective structural models. His diverse academic training has enabled him to bridge the gap between engineering practice and advanced mathematical methodologies, making significant contributions to the field of mathematical engineering.

Professional Experience

Dr. LuΓ©vanos Rojas has over four decades of academic and research experience in engineering and applied mathematics. He began his teaching career in 1983 and served as a professor until 2006. From 2006 to 2014, he was a professor and researcher at Universidad JuΓ‘rez del Estado de Durango, where he contributed to engineering education and research. Since 2015, he has been a professor and researcher at Universidad AutΓ³noma de Coahuila, where he continues to make significant advancements in mathematical engineering. Over the years, he has supervised 24 PhD, 17 Master’s, and 24 Bachelor’s theses, demonstrating his strong mentorship and academic leadership. Additionally, he has contributed to four consultancy projects, collaborating with industry partners to apply his mathematical models to real-world engineering problems. His professional experience reflects a commitment to advancing engineering through applied mathematics, research, and education.

Research Interest

Dr. LuΓ©vanos Rojas specializes in mathematical models, applied and computational mathematics, optimization methods, and engineering applications. His research focuses on developing innovative mathematical models for structural components, such as beams and footings, considering both bending and shear deformations to enhance structural integrity and cost efficiency. His work addresses critical challenges in engineering by introducing precise and optimized modeling techniques, reducing dependency on trial-and-error methods. Additionally, his research extends to applied mathematics, where he develops advanced computational techniques for structural analysis. His contributions in optimization methods ensure the efficient use of materials and resources in construction projects. Through international collaborations and editorial roles, he continues to advance research in mathematical engineering, integrating computational approaches and theoretical advancements to improve real-world engineering applications.

Awards and Honors

Dr. LuΓ©vanos Rojas has received numerous prestigious awards recognizing his outstanding contributions to research and engineering. He was honored with the Benito JuΓ‘rez Medal, the Best Scientific Article Award, and the Researcher of the Year title, reflecting his excellence in academic and applied research. He has also been acknowledged for his career-long contributions to scientific development, receiving a special mention at the 3rd International Symposium on Technological and Organizational Innovation (SITOI). His inclusion in the World’s Top 2% Scientists List further underscores his impact on global research. Additionally, he has been a member of Mexico’s National System of Researchers (SNI), advancing from Level I (2016-2022) to Level II (2023-2027), a recognition of his growing influence in the academic community. His leadership in international conferences, editorial boards, and professional committees highlights his commitment to advancing mathematical engineering research and education.

Conclusion

Dr. Arnulfo LuΓ©vanos Rojas is a highly accomplished researcher and professor whose contributions to mathematical engineering have significantly impacted structural modeling and optimization. His extensive academic background, spanning multiple engineering disciplines, provides a strong foundation for his research. With over 141 journal publications, 10 books, and an impressive citation record, he has established himself as a leading figure in applied and computational mathematics. His research on mathematical models for beams and footings has improved structural efficiency and cost-effectiveness, making a tangible impact on engineering practices. Recognized with multiple national and international awards, he continues to shape the future of mathematical engineering through research, mentorship, and collaboration. His dedication to advancing the field through innovative modeling techniques, industry partnerships, and academic leadership makes him a distinguished expert in mathematical and applied engineering sciences.

Publications Top Notes

  • Title: Optimal Surface in Plan for Hollow Circular Footings Assuming That the Contact Surface with Soil Works Partially Under Compression
    Authors: E.R. DΓ­az-Gurrola, EyrΓ‘n Roberto; A. LuΓ©vanos-Rojas, A.; G.J. Montiel-SΓ‘nchez, Gloria Josefina; C. MartΓ­nez-Aguilar, Carmela
    Year: 2025
    Source: International Journal of Innovative Computing, Information and Control

  • Title: Optimal Cost Design of RC T-Shaped Combined Footings
    Authors: V.M. Moreno-Landeros, Victor Manuel; A. LuΓ©vanos-Rojas, A.; G. Santiago-Hurtado, Griselda; A.L. LΓ³pez LeΓ³n, Abraham Leonel; A.E. Landa-GΓ³mez, Aldo Emelio
    Year: 2024
    Source: Buildings

  • Title: Optimal Area for Rectangular Foundation Slabs in Plan Supported on Soil
    Authors: M.I.L. Ávila-García, María Ilce Leticia; A. Luévanos-Rojas, A.; C. Martínez-Aguilar, Carmela; L.L. Gaona-Tamez, Laura Leticia
    Year: 2024
    Source: International Journal of Innovative Computing, Information and Control

  • Title: Optimal Area for a Rectangular Isolated Footing with an Eccentric Column and Partial Ground Compression
    Authors: V.M. Moreno-Landeros, Victor Manuel; A. LuΓ©vanos-Rojas, A.; G. Santiago-Hurtado, Griselda; L.D. LΓ³pez LeΓ³n, Luis Daimir; E.R. DΓ­az-Gurrola, EyrΓ‘n Roberto
    Year: 2024
    Source: Applied Sciences (Switzerland)
    Citations: 1

  • Title: Mathematical Modeling for the Optimal Cost Design of Circular Isolated Footings with Eccentric Column
    Authors: A. LuΓ©vanos-Rojas, A.; V.M. Moreno-Landeros, Victor Manuel; G. Santiago-Hurtado, Griselda; M.A. Baltazar-Zamora, Miguel Angel; E.R. DΓ­az-Gurrola, EyrΓ‘n Roberto
    Year: 2024
    Source: Mathematics
    Citations: 2

  • Title: Modelling for Mechanical Elements of T-Shaped Cross-Sectional Beams with Straight Haunches: Part II
    Authors: O. Sierra-Andrade, Omar; A. LuΓ©vanos-Rojas, A.; B.E. Montano-PΓ©rez, Blanca Estela
    Year: 2024
    Source: International Journal of Innovative Computing, Information and Control

  • Title: Modelling for Mechanical Elements of T-Shaped Cross-Sectional Beams with Straight Haunches: Part I
    Authors: C. RodrΓ­guez-Reyes, Cynthia; A. LuΓ©vanos-Rojas, A.; C. MartΓ­nez-Aguilar, Carmela
    Year: 2024
    Source: International Journal of Innovative Computing, Information and Control

  • Title: Minimum Cost Design for Circular Isolated Footings with Eccentric Column Taking Into Account That the Surface in Contact with the Ground Works Partially in Compression
    Authors: I. LuΓ©vanos-Soto, Inocencio; A. LuΓ©vanos-Rojas, A.; V.M. Moreno-Landeros, Victor Manuel; G. Santiago-Hurtado, Griselda
    Year: 2024
    Source: Coupled Systems Mechanics

  • Title: Deflections in Beams of Rectangular Cross Section with Parabolic Haunches Subjected to a Concentrated Load
    Authors: R. Barraza-Saucedo, Rogelio; A. LuΓ©vanos-Rojas, A.
    Year: 2024
    Source: Computacion y Sistemas

  • Title: Design of Isolated Footings of Rectangular Form Using a New Model
    Authors: A. LuΓ©vanos Rojas, J.G. Faudoa Herrera, R.A. Andrade Vallejo, …
    Year: 2013
    Source: International Journal of Innovative Computing, Information and Control
    Citations: 44

  • Title: Optimal Design for Rectangular Isolated Footings Using the Real Soil Pressure
    Authors: A. LuΓ©vanos-Rojas, S. LΓ³pez-ChavarrΓ­a, M. Medina-Elizondo
    Year: 2017
    Source: IngenierΓ­a e InvestigaciΓ³n
    Citations: 38

  • Title: Optimal Dimensioning for the Corner Combined Footings
    Authors: S. LΓ³pez ChavarrΓ­a, A. LuΓ©vanos Rojas, M. Medina Elizondo
    Year: 2017
    Source: Advances in Computational Design
    Citations: 35

  • Title: Design of Isolated Footings of Circular Form Using a New Model
    Authors: A. LuΓ©vanos Rojas
    Year: 2014
    Source: Structural Engineering and Mechanics
    Citations: 33

  • Title: Method of Structural Analysis for Statically Indeterminate Beams
    Authors: A. LuΓ©vanos Rojas
    Year: 2012
    Source: International Journal of Innovative Computing, Information and Control
    Citations: 32

  • Title: Design of Boundary Combined Footings of Rectangular Shape Using a New Model
    Authors: A. LuΓ©vanos Rojas
    Year: 2014
    Source: Dyna
    Citations: 30

  • Title: A Mathematical Model for Dimensioning of Footings Rectangular
    Authors: A. LuΓ©vanos Rojas
    Year: 2013
    Source: ICIC Express Letters, Part B, Applications
    Citations: 29

  • Title: Numerical Experimentation with a Human Migration Model
    Authors: V. Kalashnikov, N. Kalashnykova, R. LuΓ©vanos Rojas, M. MΓ©ndez MuΓ±os, …
    Year: 2008
    Source: European Journal of Operational Research
    Citations: 28

  • Title: A New Model for T-Shaped Combined Footings Part I: Optimal Dimensioning
    Authors: A. LuΓ©vanos Rojas, S. LΓ³pez ChavarrΓ­a, M. Medina Elizondo
    Year: 2018
    Source: Geomechanics and Engineering
    Citations: 27

  • Title: Numerical Experimentation for the Optimal Design for Reinforced Concrete Rectangular Combined Footings
    Authors: F. VelΓ‘zquez SantillΓ‘n, A. LuΓ©vanos Rojas, S. LΓ³pez ChavarrΓ­a, …
    Year: 2018
    Source: Advances in Computational Design
    Citations: 26

  • Title: Design of Boundary Combined Footings of Trapezoidal Form Using a New Model
    Authors: A. LuΓ©vanos Rojas
    Year: 2015
    Source: Structural Engineering and Mechanics
    Citations: 26

 

Sabah Kausar | Applied Mathematics | Young Scientist Award

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Dr. Sabah Kausar | Applied Mathematics | Young Scientist Award

University of Gujrat, Pakistan

Dr. Sabah Kausar is a dedicated physicist and researcher specializing in nanomaterials, photocatalysis, and environmental sustainability. With an MPhil in Physics from the University of Gujrat, her research focuses on synthesizing and characterizing advanced nanocomposites for applications in water purification, antimicrobial treatments, and food preservation. She has expertise in XRD, SEM, FTIR, PL, UV-Vis spectroscopy, and EDX, demonstrating a strong technical background. Her publications on Ag-doped BiVOβ‚„ and BiVOβ‚„/ZnO nanocomposites highlight significant advancements in photocatalytic degradation and extended shelf life of fruits. Passionate about interdisciplinary research, Dr. Kausar’s work bridges nanotechnology, environmental science, and material physics. She aspires to expand her contributions through international collaborations, high-impact publications, and practical industrial applications. With a keen focus on sustainability and innovation, she is a promising young scientist making impactful contributions to applied physics and nanotechnology.

Professional ProfileΒ 

Education

Dr. Sabah Kausar holds an MPhil in Physics from the University of Gujrat, where she conducted pioneering research on nanomaterials and their photocatalytic and antimicrobial properties. Her thesis focused on the synthesis and characterization of BiVOβ‚„-based nanocomposites for enhancing the shelf life of fruits and environmental remediation. Prior to her MPhil, she earned a BS (Honors) in Physics, where she developed a strong foundation in experimental, numerical, and conceptual physics. Her academic journey has been marked by excellence in material physics, spectroscopy, and nanotechnology applications. Additionally, she is currently pursuing a Bachelor of Education (BEd), reinforcing her ability to contribute to academia. With a solid educational background, she has developed expertise in advanced characterization techniques such as XRD, SEM, FTIR, PL, and UV-Vis spectroscopy, which are essential for analyzing the structural, optical, and morphological properties of nanomaterials.

Professional Experience

Dr. Sabah Kausar is an emerging scientist with expertise in photocatalytic nanomaterials, environmental physics, and material characterization. During her MPhil research, she synthesized and tested Ag-doped BiVOβ‚„ and BiVOβ‚„/ZnO nanocomposites to improve photocatalytic activity and antimicrobial performance. Her research has practical implications in water purification, environmental remediation, and food preservation. She has collaborated with interdisciplinary teams to analyze nanoparticle efficiency using XRD, SEM, FTIR, and UV-Vis spectroscopy. She has also contributed to scientific literature through high-impact publications focusing on nanotechnology-based solutions for sustainability. As a physicist, she excels in team collaboration, research execution, and analytical problem-solving. Beyond research, her pursuit of a BEd degree equips her with academic and teaching skills, enhancing her ability to mentor and educate future scientists. With a passion for advancing nanomaterials for environmental and biomedical applications, she is poised to make significant contributions to applied physics and sustainable technology.

Research Interest

Dr. Sabah Kausar’s research interests lie in nanotechnology, photocatalysis, environmental sustainability, and antimicrobial nanomaterials. She focuses on synthesizing and characterizing functional nanocomposites for applications in water purification, energy harvesting, and food preservation. Her expertise extends to advanced material characterization techniques such as X-ray diffraction (XRD), scanning electron microscopy (SEM), photoluminescence spectroscopy (PL), and UV-Vis analysis, which she employs to explore optical, structural, and chemical properties of materials. She is particularly interested in the development of eco-friendly nanomaterials to combat water pollution and food spoilage. Her work on TiOβ‚‚/BiVOβ‚„ nanocomposites for dye and antibiotic degradation has demonstrated significant potential for environmental applications. Additionally, she is keen on interdisciplinary research collaborations to bridge the gap between material science, environmental physics, and biomedicine. With a strong foundation in experimental physics and nanotechnology, she aspires to contribute to cutting-edge advancements in sustainable science and clean energy.

Awards and Honors

Dr. Sabah Kausar has earned recognition for her innovative contributions to nanotechnology and environmental sustainability. Her MPhil research on BiVOβ‚„-based nanomaterials has been widely acknowledged for its practical implications in photocatalysis, antimicrobial applications, and food preservation. She has presented her work at national and international awards, showcasing her expertise in material characterization and sustainable nanotechnology. Additionally, her high-impact publications in peer-reviewed journals reflect her strong research capabilities and commitment to scientific advancement. Her ability to bridge physics, chemistry, and environmental science has positioned her as a promising researcher. As she continues to develop innovative nanomaterials for real-world applications, she remains committed to academic excellence and collaborative research projects. With her growing contributions to scientific knowledge and sustainability-focused solutions, she is a strong candidate for Young Scientist Awards and similar recognitions in the fields of nanotechnology, applied physics, and environmental research.

Conclusion

Dr. Sabah Kausar is a rising physicist and nanotechnology researcher committed to solving environmental and sustainability challenges through innovative material science. With a strong academic background, hands-on research experience, and a passion for applied physics, she has contributed to the development of photocatalytic and antimicrobial nanomaterials. Her work has significant implications for clean energy, water purification, and food preservation, demonstrating the power of interdisciplinary scientific advancements. As a young scientist, she continues to explore new frontiers in nanotechnology, with a focus on sustainable applications. Her ability to integrate material characterization, experimental physics, and environmental research makes her a promising scientific leader. With continued collaborations, high-impact research, and academic contributions, she is well-positioned to make lasting contributions in physics, nanotechnology, and sustainability science.

Publications Top Noted

 

Sorin Vlase | Applied Mathematics | Excellence in Applied Mathematics

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Prof. Sorin Vlase | Applied Mathematics | Excellence in Applied Mathematics

Professor at Transilvania University of Brasov, Romania

Prof. Sorin Vlase is a distinguished researcher and full professor at Transilvania University of Brasov, Romania, specializing in Mechanics, Computational Mechanics, Finite Element Method, and Multibody Systems. With an academic career spanning nearly five decades, he has made significant contributions to mechanical engineering and applied mathematics. He has served as the head of multiple departments, organized prestigious international awards, and led over 15 scientific projects while participating in more than 50. His extensive publication record includes 244 ISI-indexed papers, 21 books, and numerous award proceedings. He has played a key role in advancing computational mechanics, composite materials, and automotive engineering, securing national and international research grants, including NATO-funded projects. His expertise is recognized through his editorial contributions, scientific committee memberships, and honorary professor titles. Prof. Vlase’s work continues to impact the global research community, making him a strong candidate for recognition as a leading researcher in his field.

Professional ProfileΒ 

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Education

Prof. Sorin Vlase has a strong academic background in mechanical engineering and applied mathematics. He earned his B.Sc. and M.Sc. in Mechanical Engineering with a specialization in Automotive Engineering from Transilvania University of Brasov (1971–1976). In addition, he pursued a degree in mathematics from the University of Bucharest (1977–1982), further strengthening his analytical expertise. He obtained his Ph.D. from Transilvania University of Brasov in 1989, focusing on advanced computational mechanics. His academic journey culminated in a Habilitation in Automotive Engineering in 2015, allowing him to mentor doctoral students. His multidisciplinary education has played a crucial role in shaping his expertise in mechanics, computational analysis, and finite element methods, making him a highly respected scholar in his field. Throughout his academic career, he has been associated with Transilvania University, significantly contributing to its research and educational framework through his teaching, mentorship, and leadership in various scientific projects.

Professional Experience

Prof. Vlase has had an extensive professional career, primarily at Transilvania University of Brasov, where he has been a faculty member since 1980. His career progression includes roles as an Assistant Professor (1980–1984), Lecturer (1984–1991), Associate Professor (1991–1996), and Full Professor (1996–present). He also served as the Head of the Department of Mechanics (2004–2011), Head of the Department of Automotive Engineering and Mechanics (2011–2012), and Head of the Department of Mechanical Engineering (2012–2020). Prior to joining academia, he worked as a research engineer at the Automotive Research Institute and ROMAN SA Brasov (1976–1980), gaining valuable industry experience. His expertise spans mechanical stability, numerical methods, kinematics, and dynamics of multibody systems. Additionally, he has organized numerous international awards and contributed to over 50 scientific projects, demonstrating his leadership and commitment to advancing mechanical engineering and applied sciences.

Research Interests

Prof. Vlase’s research is centered on Mechanics, Computational Mechanics, Finite Element Method, Vibrations, and Multibody Systems. His interdisciplinary approach integrates mathematical modeling, numerical simulations, and experimental mechanics, with applications in automotive engineering and composite materials. He has made significant contributions to computational analysis, particularly in the dynamic behavior of mechanical structures. His work also explores nonlinear analysis, virtual prototyping, and the optimization of mechanical systems. His research extends to white noise in urban environments and mechanical identifiability in automotive engineering, reflecting his ability to bridge theoretical research with real-world applications. His leadership in national and international research grants, including NATO-funded projects, underscores his influence in the field. Through his extensive publication record, including books, journal articles, and award proceedings, he continues to contribute to the development of cutting-edge technologies in engineering and applied mechanics.

Awards and Honors

Prof. Sorin Vlase has been widely recognized for his contributions to mechanical engineering and computational mechanics. He has received numerous accolades for his research, teaching, and leadership in the scientific community. He was awarded an Honorary Professorship at Ovidius University in Constanta, a testament to his influence in academia. He has served as an editor for 15 scientific publications and has been a key organizer of several prestigious international awards, including the Computational Mechanics and Virtual Engineering (COMEC) series and the Advanced Composite Materials Engineering (COMAT) awards. His research excellence has been acknowledged through multiple national and international grants, including NATO-sponsored projects. His role as a principal investigator in over 15 projects and a participant in more than 50 research initiatives further highlights his impact. Prof. Vlase’s commitment to advancing the field of mechanics has earned him a distinguished reputation in the global academic community.

Conclusion

Prof. Sorin Vlase is a highly accomplished researcher, educator, and leader in the fields of mechanics, computational analysis, and automotive engineering. His academic journey, spanning decades, has been marked by significant contributions to research, teaching, and scientific collaboration. With over 244 ISI-indexed papers, 21 books, and leadership in numerous research projects, he has left a lasting impact on engineering sciences. His interdisciplinary expertise, bridging mechanical engineering and applied mathematics, has led to innovative solutions in computational mechanics and material science. His role in organizing international awards and securing competitive research grants further underscores his dedication to advancing scientific knowledge. Recognized through prestigious awards and honorary titles, Prof. Vlase continues to shape the future of mechanical engineering. His extensive contributions make him a strong candidate for any distinguished research award, reflecting his outstanding achievements in academia, research, and professional service.

Publications Top Noted

  • Title: On the partition of energies for the backward in time problem of thermoelastic materials with a dipolar structure
    Authors: M. Marin, S. Vlase, R. Ellahi, M.M. Bhatti
    Year: 2019
    Citations: 127
    Source: Symmetry, 11(7), 863

  • Title: Motion equation for a flexible one-dimensional element used in the dynamical analysis of a multibody system
    Authors: S. Vlase, M. Marin, A. Γ–chsner, M.L. Scutaru
    Year: 2019
    Citations: 122
    Source: Continuum Mechanics and Thermodynamics, 31, 715-724

  • Title: Improved rigidity of composite circular plates through radial ribs
    Authors: C. Itu, A. Γ–chsner, S. Vlase, M.I. Marin
    Year: 2019
    Citations: 115
    Source: Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications

  • Title: New analytical method based on dynamic response of planar mechanical elastic systems
    Authors: M.L. Scutaru, S. Vlase, M. Marin, A. Modrea
    Year: 2020
    Citations: 113
    Source: Boundary Value Problems, 2020, 1-16

  • Title: A method for the study of the vibration of mechanical bars systems with symmetries
    Authors: S. Vlase, C. Năstac, M. Marin, M. Mihălcică
    Year: 2017
    Citations: 107
    Source: Acta Technica Napocensis-Series: Applied Mathematics, Mechanics, and Engineering

  • Title: Considerations on double porosity structure for micropolar bodies
    Authors: M. Marin, S. Vlase, M. Paun
    Year: 2015
    Citations: 107
    Source: AIP Advances, 5(3)

  • Title: On mixed problem in thermoelasticity of type III for Cosserat media
    Authors: M. Marin, A. Seadawy, S. Vlase, A. Chirila
    Year: 2022
    Citations: 100
    Source: Journal of Taibah University for Science, 16(1), 1264-1274

  • Title: On the decay of exponential type for the solutions in a dipolar elastic body
    Authors: M. Marin, R. Ellahi, S. Vlase, M.M. Bhatti
    Year: 2020
    Citations: 95
    Source: Journal of Taibah University for Science, 14(1), 534-540

  • Title: Coupled transverse and torsional vibrations in a mechanical system with two identical beams
    Authors: S. Vlase, M. Marin, M.L. Scutaru, R. Munteanu
    Year: 2017
    Citations: 95
    Source: AIP Advances, 7(6)

  • Title: Effect of microtemperatures for micropolar thermoelastic bodies
    Authors: M. Marin, D. Baleanu, S. Vlase
    Year: 2017
    Citations: 88
    Source: Structural Engineering and Mechanics, 61(3), 381-387

  • Title: Homogenization and averaging methods to predict elastic properties of pre-impregnated composite materials
    Authors: H. Teodorescu-Draghicescu, S. Vlase
    Year: 2011
    Citations: 88
    Source: Computational Materials Science, 50(4), 1310-1314

  • Title: Finite element method analysis of some fibre-reinforced composite laminates
    Authors: H. Teodorescu-Draghicescu, A. Stanciu, S. Vlase, L. Scutaru, M.R. Calin
    Year: 2011
    Citations: 78
    Source: Optoelectronics and Advanced Materials-Rapid Communications, 5(7), 782-785

  • Title: A method of eliminating Lagrangian multipliers from the equation of motion of interconnected mechanical systems
    Authors: S. Vlase
    Year: 1987
    Citations: 76
    Source: Not available

  • Title: Hysteresis effect in a three-phase polymer matrix composite subjected to static cyclic loadings
    Authors: H. Teodorescu-Draghicescu, S. Vlase, L. Scutaru, L. Serbina, M.R. Calin
    Year: 2011
    Citations: 74
    Source: Optoelectronics and Advanced Materials-Rapid Communications, 5 (March 2011)

  • Title: Influence of B4C and industrial waste fly ash reinforcement particles on the microstructural characteristics and mechanical behavior of aluminium (Al–Mg–Si-T6) hybrid metal matrix composites
    Authors: M.S. Kumar, M. Vasumathi, S.R. Begum, S.M. Luminita, S. Vlase, C.I. Pruncu
    Year: 2021
    Citations: 61
    Source: Journal of Materials Research and Technology, 15, 1201-1216

  • Title: Behavior of multiphase fiber-reinforced polymers under short time cyclic loading
    Authors: S. Vlase, H. Teodorescu-Draghicescu, D.L. Motoc, M.L. Scutaru, L. Serbina
    Year: 2011
    Citations: 59
    Source: Optoelectronics and Advanced Materials-Rapid Communications, 5, 419-423

  • Title: Mechanical behavior of CSM450 and RT800 laminates subjected to four-point bend tests
    Authors: A. Stanciu, H. Teodorescu-DrΔƒghicescu, S. Vlase, M.L. Scutaru, M.R. Cǎlin
    Year: 2012
    Citations: 58
    Source: Optoelectronics and Advanced Materials-Rapid Communications, 6 (March-April 2012)

  • Title: Advanced pultruded glass fibers-reinforced isophtalic polyester resin
    Authors: H. Teodorescu-Draghicescu, S. Vlase, M.D. Stanciu, I. Curtu, M. Mihalcica
    Year: 2015
    Citations: 56
    Source: Mater. Plast, 52(1), 62-64

  • Title: Properties of advanced new materials used in automotive engineering
    Authors: A. Modrea, S. Vlase, H. Teodorescu-Draghicescu, M. Mihalcica, M.R. Calin
    Year: 2013
    Citations: 55
    Source: Optoelectronics and Advanced Materials-Rapid Communications, 7 (May-June 2013)

  • Title: Simulation of the elastic properties of some fiber-reinforced composite laminates under off-axis loading system
    Authors: S. Vlase, H. Teodorescu-Draghicescu, M.R. Calin, L. Serbina
    Year: 2011
    Citations: 55
    Source: Optoelectronics and Advanced Materials-Rapid Communications, 5 (April 2011)

 

Ran Zhang | Applied Mathematics | Best Researcher Award

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Dr. Ran Zhang | Applied Mathematics | Best Researcher Award

Researcher at Nanjing University of Posts and Telecommunications, China

Ran Zhang is a dedicated researcher specializing in differential operator spectrum theory and inverse problems, with a strong academic record and impactful contributions to mathematical analysis. He has published extensively in prestigious journals such as Journal of Differential Equations, Applied Mathematics Letters, and Mathematical Methods in Applied Sciences, addressing critical problems in Sturm-Liouville operators, Dirac systems, and inverse spectral analysis. As the host of national research projects, including those funded by the National Natural Science Foundation of China and Jiangsu Provincial Natural Science Foundation of China, he has demonstrated leadership in advancing theoretical mathematics. His work has significant implications for mathematical physics and engineering applications. While already an accomplished researcher, expanding into applied interdisciplinary domains and increasing global collaborations could further enhance his influence. With a strong foundation in theoretical and computational approaches, Ran Zhang continues to push the boundaries of mathematical research, making him a valuable contributor to the field.

Professional Profile

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Education

Ran Zhang has established a strong academic foundation in mathematics, particularly in differential operator spectrum theory and inverse problems. His educational journey has been marked by rigorous training in advanced mathematical techniques, equipping him with the analytical and computational skills necessary for solving complex problems in spectral analysis. Throughout his academic career, he has specialized in inverse problems, Sturm-Liouville operators, and Dirac systems, which are fundamental to mathematical physics and engineering applications. His deep understanding of functional analysis and operator theory has enabled him to contribute innovative solutions to long-standing mathematical challenges. His education has been further enriched through collaborations with esteemed mathematicians and participation in high-level mathematical research projects. This solid academic background has laid the groundwork for his contributions to the field, positioning him as a leading researcher in spectral theory and inverse problems.

Professional Experience

Ran Zhang has built an impressive professional career focused on mathematical research and inverse spectral analysis. As a host of research projects funded by the National Natural Science Foundation of China and the Jiangsu Provincial Natural Science Foundation of China, he has played a pivotal role in advancing theoretical mathematics. His work has been recognized in esteemed mathematical journals, reflecting the high impact of his research in spectral theory, Sturm-Liouville operators, and discontinuous differential equations. He has actively contributed to solving complex mathematical challenges and has worked closely with research teams, collaborating with renowned mathematicians across institutions. His experience extends beyond academia, as his research has potential applications in engineering, quantum mechanics, and applied physics. His ability to bridge theoretical mathematics with practical applications makes him a distinguished figure in the field. As he progresses in his career, expanding into interdisciplinary research and mentoring young mathematicians could further solidify his professional legacy.

Research Interest

Ran Zhang’s primary research interest lies in differential operator spectrum theory and its inverse problems, focusing on Sturm-Liouville operators, Dirac systems, and inverse spectral analysis. His work explores the uniqueness, reconstruction, and solvability of inverse problems, often dealing with differential operators that exhibit discontinuities. He is particularly interested in solving inverse nodal and resonance problems, which have profound implications in mathematical physics, quantum mechanics, and engineering applications. His research also extends to periodic and impulsive differential equations, addressing their spectral properties and reconstruction techniques. By developing new mathematical models and analytical methods, he aims to enhance the theoretical understanding of inverse problems while providing practical solutions for computational mathematics. His contributions to spectral theory play a vital role in advancing numerical methods and mathematical modeling, further strengthening the connection between pure and applied mathematics. His future research aims to expand into multidisciplinary applications, fostering collaborations across physics, engineering, and computational sciences.

Awards and Honors

Ran Zhang’s research excellence has been recognized through several prestigious honors and awards. As the recipient of funding from the National Natural Science Foundation of China and the Jiangsu Provincial Natural Science Foundation of China, he has demonstrated his ability to lead impactful research projects. His published works in top-tier mathematical journals, such as the Journal of Differential Equations, Applied Mathematics Letters, and Mathematical Methods in Applied Sciences, underscore his significant contributions to spectral theory and inverse problems. His research achievements have also been acknowledged through collaborations with internationally renowned mathematicians, highlighting his growing influence in the mathematical community. His ability to solve complex problems in spectral analysis has positioned him as a leading researcher in the field. With an increasing number of citations and recognition from the global mathematics community, Ran Zhang continues to make substantial contributions that are shaping modern mathematical research.

Conclusion

Ran Zhang is a distinguished researcher whose work in differential operator spectrum theory and inverse problems has made a profound impact on mathematical sciences. His strong academic background, extensive research experience, and leadership in national research projects position him as a key figure in mathematical analysis. His research has provided significant advancements in spectral theory, Sturm-Liouville operators, and inverse nodal problems, which are crucial for engineering, quantum mechanics, and mathematical physics. While he has already gained significant recognition, expanding his work into interdisciplinary applications and international collaborations could further elevate his influence. His commitment to mathematical innovation, coupled with his problem-solving skills and dedication to research, ensures that he will continue to contribute valuable insights to the field. As he moves forward, his work will likely shape the future of spectral analysis, making lasting contributions to both theoretical and applied mathematics.

Publications Top Noted

  • Title: Inverse spectral problems for the Dirac operator with complex-valued weight and discontinuity
    Authors: Ran Zhang, Chuan-Fu Yang, Natalia P. Bondarenko
    Year: 2021
    Citation: Journal of Differential Equations, 278: 100-110
    Source: Journal of Differential Equations

  • Title: Uniqueness and reconstruction of the periodic Strum-Liouville operator with a finite number of discontinuities
    Authors: Ran Zhang, Kai Wang, Chuan-Fu Yang
    Year: 2024
    Citation: Applied Mathematics Letters, 147: 108853
    Source: Applied Mathematics Letters

  • Title: Uniqueness theorems for the impulsive Dirac operator with discontinuity
    Authors: Ran Zhang, Chuan-Fu Yang
    Year: 2022
    Citation: Analysis and Mathematical Physics, 12(1): 1-16
    Source: Analysis and Mathematical Physics

  • Title: Determination of the impulsive Sturm-Liouville operator from a set of eigenvalues
    Authors: Ran Zhang, Xiao-Chuan Xu, Chuan-Fu Yang, Natalia P. Bondarenko
    Year: 2020
    Citation: Journal of Inverse and Ill-posed Problems, 28(3): 341-348
    Source: Journal of Inverse and Ill-posed Problems

  • Title: Solving the inverse problems for discontinuous periodic Strum-Liouville operator by the method of rotation
    Authors: Ran Zhang, Kai Wang, Chuan-Fu Yang
    Year: 2024
    Citation: Results in Mathematics, 79(1): 49
    Source: Results in Mathematics

  • Title: Ambarzumyan-type theorem for the impulsive Sturm-Liouville operator
    Authors: Ran Zhang, Chuan-Fu Yang
    Year: 2021
    Citation: Journal of Inverse and Ill-posed Problems, 29(1): 21-25
    Source: Journal of Inverse and Ill-posed Problems

  • Title: Solvability of an inverse problem for discontinuous Sturm-Liouville operators
    Authors: Ran Zhang, Natalia P. Bondarenko, Chuan-Fu Yang
    Year: 2021
    Citation: Mathematical Methods in Applied Sciences, 44(1): 124-139
    Source: Mathematical Methods in Applied Sciences

  • Title: Reconstruction of the Strum-Liouville operator with periodic boundary conditions and discontinuity
    Authors: Ran Zhang, Chuan-Fu Yang
    Year: 2022
    Citation: Mathematical Methods in Applied Sciences, 45(8): 4244-4251
    Source: Mathematical Methods in Applied Sciences

  • Title: Determination of the impulsive Dirac systems from a set of eigenvalues
    Authors: Ran Zhang, Chuan-Fu Yang, Kai Wang
    Year: 2023
    Citation: Mathematics, 11(19): 4086
    Source: Mathematics

  • Title: Inverse nodal problem for the Sturm-Liouville operator with a weight
    Authors: Ran Zhang, Murat Sat, Chuan-Fu Yang
    Year: 2020
    Citation: Applied Mathematics – A Journal of Chinese Universities Series B, 35(2): 193-202
    Source: Applied Mathematics – A Journal of Chinese Universities Series B

 

Ghanmi Abdeljabbar | Fractional calculus | Mathematical Engineering Excellence Award

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Prof. Ghanmi Abdeljabbar | Fractional calculus | Mathematical Engineering Excellence Award

Professor in Mathematics at Tunis El Manar University, Tunisia

Dr. Abdeljabbar Ghanmi is an accomplished mathematician specializing in differential equations, fractional calculus, variational methods, and mathematical analysis. Currently an Associate Professor at the University of Jeddah, Saudi Arabia, he has an extensive academic and research background, having previously held positions in Tunisia. His research focuses on partial differential equations, dynamical systems, nonlinear systems, and optimization, with numerous publications in high-impact journals. Dr. Ghanmi collaborates with renowned mathematicians such as Prof. Vicentiu Radulescu and Prof. DuΕ‘an D. RepovΕ‘, reflecting his global research engagement. He has supervised multiple doctoral and master’s students, contributing significantly to mathematical education. His work has gained substantial recognition, evidenced by citations and active participation in international awards. In addition to his research, he serves as a reviewer for scientific journals. Dr. Ghanmi’s contributions to mathematical sciences, mentorship, and interdisciplinary collaborations position him as a distinguished researcher in his field.

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Education

Dr. Abdeljabbar Ghanmi holds a strong academic background in mathematics, having earned his Ph.D. in Applied Mathematics from a prestigious institution. His doctoral research focused on differential equations, variational methods, and mathematical analysis, laying the foundation for his expertise in nonlinear systems and dynamical models. Prior to his Ph.D., he obtained a Master’s degree in Mathematical Sciences, where he explored advanced topics in functional analysis and optimization. His undergraduate studies provided a rigorous foundation in pure and applied mathematics, enabling him to develop a deep understanding of fundamental mathematical principles. Throughout his academic journey, Dr. Ghanmi has demonstrated exceptional analytical skills, excelling in complex problem-solving and mathematical modeling. His educational achievements reflect his commitment to advancing mathematical research, and his interdisciplinary approach bridges theoretical mathematics with real-world applications. His academic credentials have prepared him for a distinguished career in research and education, fostering innovation in mathematical sciences.

Professional Experience

Dr. Abdeljabbar Ghanmi is an Associate Professor at the University of Jeddah, Saudi Arabia, where he actively engages in teaching, research, and academic mentorship. Before joining the University of Jeddah, he held academic positions in Tunisia, contributing to the development of mathematics education and research. With years of experience in higher education, he has taught advanced courses in differential equations, mathematical analysis, and optimization, shaping the next generation of mathematicians. His role extends beyond teaching, as he supervises Ph.D. and master’s students, guiding them in their research endeavors. Dr. Ghanmi is a dedicated researcher, collaborating with international experts in mathematics to produce high-quality publications in peer-reviewed journals. Additionally, he serves as a reviewer for prestigious scientific journals, ensuring the integrity and advancement of mathematical research. His professional experience highlights his commitment to both education and the expansion of mathematical knowledge through innovative research and scholarly contributions.

Research Interest

Dr. Abdeljabbar Ghanmi’s research interests span a wide range of mathematical disciplines, with a particular focus on differential equations, fractional calculus, variational methods, and nonlinear dynamical systems. His work explores the theoretical and applied aspects of mathematical analysis, contributing to the advancement of knowledge in functional spaces, optimization techniques, and stability theory. His research integrates classical and modern mathematical approaches to solve complex problems in engineering, physics, and applied sciences. Dr. Ghanmi actively collaborates with leading mathematicians such as Prof. Vicentiu Radulescu and Prof. DuΕ‘an D. RepovΕ‘, engaging in interdisciplinary research that bridges pure mathematics with practical applications. His studies on fractional differential equations and dynamical systems have significant implications in modeling real-world phenomena. His dedication to research is evident through his numerous high-impact publications, award presentations, and involvement in peer-reviewing processes, ensuring the continuous evolution of mathematical sciences.

Awards and Honors

Dr. Abdeljabbar Ghanmi has received multiple recognitions for his outstanding contributions to mathematics. His research has been acknowledged through various academic and research awards, reflecting his impact on mathematical sciences. He has been invited to speak at international awards, demonstrating the significance of his contributions to the global mathematical community. His work has garnered significant citations, highlighting its influence on contemporary mathematical research. In addition to his scholarly achievements, Dr. Ghanmi has received recognition from esteemed institutions for his dedication to mentoring students and advancing mathematical education. His collaborations with leading researchers and his active participation in editorial and reviewing committees further underscore his reputation as a distinguished mathematician. These accolades reflect his unwavering commitment to excellence in research, education, and the broader mathematical community, solidifying his position as a respected figure in the field of applied mathematics.

Conclusion

Dr. Abdeljabbar Ghanmi is a highly respected mathematician whose expertise in differential equations, fractional calculus, and mathematical analysis has significantly contributed to the advancement of mathematical sciences. As an Associate Professor at the University of Jeddah, he has played a crucial role in shaping the academic and research landscape through his mentorship, teaching, and scholarly work. His research collaborations with leading mathematicians and his extensive publication record underscore his dedication to expanding mathematical knowledge. Through his contributions to mathematical education and his commitment to interdisciplinary research, Dr. Ghanmi has made a lasting impact on the field. His numerous awards and recognitions attest to the quality and significance of his work. With a career dedicated to both theoretical and applied mathematics, Dr. Ghanmi continues to be an influential figure, fostering innovation and excellence in research and education. His contributions have left an indelible mark on the global mathematical community.

Publications Top Noted

Fractional Calculus and Thermal Analysis
  • An analytical study on the fractional transient heating within the skin tissue during the thermal therapy
    • Authors: A. Ghanmi, I.A. Abbas
    • Year: 2019
    • Citations: 114
    • Source: Journal of Thermal Biology 82, 229-233
Fractional and p-Laplacian Problems

  • A multiplicity results for a singular problem involving the fractional p-Laplacian operator

    • Authors: A. Ghanmi, K. Saoudi
    • Year: 2016
    • Citations: 68
    • Source: Complex Variables and Elliptic Equations 61 (9), 1199-1216

  • A multiplicity results for a singular equation involving the p(x)-Laplace operator

    • Authors: K. Saoudi, A. Ghanmi
    • Year: 2017
    • Citations: 65
    • Source: Complex Variables and Elliptic Equations 62 (5), 695-725

  • The Nehari manifold for a singular elliptic equation involving the fractional Laplace operator

    • Authors: A.G.K. Saoudi
    • Year: 2016
    • Citations: 63
    • Source: Fractional Differential Calculus 6 (2), 201-217
Boundary Value Problems and Riemann–Liouville Derivative
  • The Nehari manifold for a boundary value problem involving Riemann–Liouville fractional derivative
    • Authors: K. Saoudi, P. Agarwal, P. Kumam, A. Ghanmi, P. Thounthong
    • Year: 2018
    • Citations: 47
    • Source: Advances in Difference Equations 2018, 1-18
Nonlinear SchrΓΆdinger Equations
  • Large and bounded solutions for a class of nonlinear SchrΓΆdinger stationary systems
    • Authors: V.R.N.Z. Abdeljabbar Ghanmi, Habib Maagli
    • Year: 2009
    • Citations: 41
    • Source: Analysis and Application 7 (4), 391-404
Kirchhoff-type and Singular Equations

  • Minimax method involving singular p(x)-Kirchhoff equation

    • Authors: K. Ben Ali, A. Ghanmi, K. Kefi
    • Year: 2017
    • Citations: 39
    • Source: Journal of Mathematical Physics 58 (11)

  • Nontrivial solutions for Kirchhoff-type problems involving the -Laplace operator

    • Authors: A. Ghanmi
    • Year: 2018
    • Citations: 21
    • Source: –
Singular and Indefinite Weight Problems

  • Existence of solution for a singular fractional Laplacian problem with variable exponents and indefinite weights

    • Authors: R. Chammem, A. Ghanmi, A. Sahbani
    • Year: 2021
    • Citations: 28
    • Source: Complex Variables and Elliptic Equations 66 (8), 1320-1332

  • On the Steklov problem involving the p(x)-Laplacian with indefinite weight

    • Authors: K.B. Ali, A. Ghanmi, K. Kefi
    • Year: 2017
    • Citations: 24
    • Source: Opuscula Mathematica 37 (6), 779-794
Existence and Multiplicity of Solutions in Fractional Differential Equations

  • Existence of solutions for fractional differential equations with Dirichlet boundary conditions

    • Authors: K.B. Ali, A. Ghanmi, K. Kefi
    • Year: 2016
    • Citations: 25
    • Source: Electronic Journal of Differential Equations 116, 1-11

  • Existence of positive solutions for a coupled system of nonlinear fractional differential equations

    • Authors: A. Ghanmi, S. Horrigue
    • Year: 2019
    • Citations: 23
    • Source: Ukrainian Mathematical Journal 71, 39-49

  • Existence of positive bounded solutions for some nonlinear elliptic systems

    • Authors: N.Z. A. Ghanmi, H. MΓ’agli, S. Turki
    • Year: 2009
    • Citations: 23
    • Source: Journal of Mathematical Analysis and Applications 352, 440-448
Nehari Manifold and Fractional Boundary Value Problems

  • Nehari manifold and multiplicity results for a class of fractional boundary value problems with p-Laplacian

    • Authors: A. Ghanmi, Z. Zhang
    • Year: 2019
    • Citations: 22
    • Source: Bulletin of the Korean Mathematical Society 56 (5), 1297-1314

  • Multiplicity of Nontrivial Solutions of a Class of Fractional p-Laplacian Problem

    • Authors: A. Ghanmi
    • Year: 2015
    • Citations: 20
    • Source: Zeitschrift fΓΌr Analysis und ihre Anwendungen (Journal of Analysis and its Applications)

  • A multiplicity results for a singular problem involving a Riemann-Liouville fractional derivative

    • Authors: A. Ghanmi, M. Kratou, K. Saoudi
    • Year: 2018
    • Citations: 19
    • Source: Filomat 32 (2), 653-669
Styklov Problems and Fractional Analysis

  • Existence and multiplicity of solutions for some Styklov problem involving p(x)-Laplacian operator

    • Authors: R. Chammem, A. Ghanmi, A. Sahbani
    • Year: 2022
    • Citations: 17
    • Source: Applicable Analysis 101 (7), 2401-2417

  • Existence result and uniqueness for some fractional problem

    • Authors: G. Wang, A. Ghanmi, S. Horrigue, S. Madian
    • Year: 2019
    • Citations: 16
    • Source: Mathematics 7 (6), 516

  • Existence Results for Nonlinear Boundary Value Problems

    • Authors: A. Ghanmi, S. Horrigue
    • Year: 2018
    • Citations: 15
    • Source: Filomat 32 (2), 609-618

 

LinTian Luh | Applied Mathematics | Numerical Analysis Research Award

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Dr. LinTian Luh | Applied Mathematics | Numerical Analysis Research Award

Dr. Lin-Tian Luh is a distinguished mathematician specializing in radial basis functions, approximation theory, numerical mathematics, and topology. With a Ph.D. from the University of GΓΆttingen, he has made significant contributions to the field, particularly in developing error bounds for high-dimensional interpolation and advancing the choice theory of shape parameters. Over his academic career at Providence University, where he served as a lecturer, associate professor, and full professor, he has been instrumental in enhancing research environments and collaborating internationally, notably with Professor R. Schaback. Dr. Luh has published extensively in high-impact journals, presented at major awards worldwide, and held editorial roles in reputable mathematical journals. His groundbreaking work on shape parameter selection has gained international recognition, solving longstanding challenges in the field. Honored multiple times for research excellence, he continues to push the boundaries of numerical analysis and computational mathematics, making profound impacts on scientific advancements.

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Education

Dr. Lin-Tian Luh obtained his Ph.D. in Mathematics from the University of GΓΆttingen, Germany, where he studied under leading experts in numerical analysis and approximation theory. His doctoral research focused on radial basis functions and their applications in high-dimensional interpolation. Prior to his Ph.D., he completed his undergraduate and master’s studies in Taiwan, building a strong foundation in pure and applied mathematics. Throughout his academic journey, he demonstrated exceptional analytical skills and a deep passion for solving complex mathematical problems. His international education provided him with a broad perspective, allowing him to integrate diverse mathematical techniques into his research. Exposure to rigorous mathematical training at GΓΆttingen further refined his expertise in error estimation and shape parameter selection. His academic achievements laid the groundwork for a successful career in both theoretical and applied mathematics, enabling him to contribute significantly to the advancement of numerical methods in scientific computation.

Professional Experience

Dr. Lin-Tian Luh has had a distinguished academic career, spanning decades of research, teaching, and mentorship. He began as a lecturer at Providence University in Taiwan, where he quickly established himself as an authority in numerical mathematics. Rising through the ranks to associate professor and later full professor, he played a pivotal role in shaping the university’s mathematics curriculum and fostering a strong research environment. He has collaborated extensively with international scholars, including Professor R. Schaback, contributing to groundbreaking advancements in radial basis function interpolation. Dr. Luh has also held visiting research positions at prestigious institutions, further strengthening his global academic impact. His dedication to teaching has inspired numerous students to pursue research in computational mathematics. Beyond academia, he has served on editorial boards of leading mathematical journals and as a reviewer for high-impact publications, solidifying his reputation as a key figure in numerical analysis and approximation theory.

Research Interest

Dr. Lin-Tian Luh’s research interests lie in numerical analysis, radial basis function (RBF) interpolation, approximation theory, and topology. He has made substantial contributions to high-dimensional interpolation techniques, particularly in error estimation and shape parameter selection for RBF methods. His work on developing optimal strategies for shape parameter choice has addressed longstanding challenges in computational mathematics, influencing applications in engineering, data science, and machine learning. He is also deeply engaged in the theoretical aspects of approximation theory, exploring new methods to improve the efficiency and accuracy of numerical algorithms. Dr. Luh’s research extends into applied topology, where he investigates connections between geometric structures and computational models. His interdisciplinary approach has led to collaborations across various fields, reinforcing the importance of mathematical theory in real-world problem-solving. With numerous publications in top-tier journals, his work continues to shape the evolving landscape of numerical mathematics and scientific computation.

Awards and Honors

Dr. Lin-Tian Luh has received multiple accolades for his exceptional contributions to mathematics, particularly in numerical analysis and approximation theory. He has been recognized by prestigious mathematical societies and institutions for his pioneering work in radial basis function interpolation. His research on shape parameter selection has earned international acclaim, leading to invitations as a keynote speaker at major mathematical awards. Dr. Luh has also been honored with excellence in research awards from Providence University, where his work has significantly advanced the institution’s academic reputation. In addition, he has received grants and fellowships supporting his innovative research, further validating his impact in the field. His editorial contributions to leading mathematical journals have also been acknowledged, highlighting his influence in shaping contemporary numerical mathematics. These honors reflect his dedication, originality, and profound impact on both theoretical and applied mathematics, reinforcing his legacy as a leader in computational and approximation theory.

Conclusion

Dr. Lin-Tian Luh is a renowned mathematician whose work in numerical analysis, radial basis function interpolation, and approximation theory has significantly influenced the field. With a strong educational background from the University of GΓΆttingen and an illustrious academic career at Providence University, he has played a crucial role in advancing research and mentoring future generations of mathematicians. His collaborations with international scholars and contributions to high-dimensional interpolation techniques have provided groundbreaking insights into shape parameter selection and error estimation. Recognized globally for his research excellence, he has received multiple awards and honors, further establishing his prominence in mathematical sciences. Dr. Luh’s work continues to inspire and drive progress in numerical computation, bridging theoretical advancements with practical applications. His dedication to expanding mathematical knowledge and fostering innovation ensures that his contributions will have a lasting impact on the field, shaping the future of approximation theory and scientific computing.

Publications Top Noted

  • The Shape Parameter in the Shifted Surface Splineβ€”A Sharp and Friendly Approach

    • Author: Lin-Tian Luh
    • Year: 2024
    • Source: Mathematics (MDPI)

  • Solving Poisson Equations by the MN-Curve Approach

    • Author: Lin-Tian Luh
    • Year: 2022
    • Source: Mathematics (MDPI)

  • A Direct Prediction of the Shape Parameter in the Collocation Method of Solving Poisson Equation

    • Author: Lin-Tian Luh
    • Year: 2022
    • Source: Mathematics (MDPI)

  • The Shape Parameter in the Shifted Surface Splineβ€”An Easily Accessible Approach

    • Author: Lin-Tian Luh
    • Year: 2022
    • Source: Mathematics (MDPI)

  • A Direct Prediction of the Shape Parameterβ€”A Purely Scattered Data Approach

    • Author: Lin-Tian Luh
    • Year: 2020
    • Source: Engineering Analysis with Boundary Elements (EABE)

  • The Choice of the Shape Parameter–A Friendly Approach

    • Author: Lin-Tian Luh
    • Year: 2019
    • Source: Engineering Analysis with Boundary Elements (Elsevier)

  • The Mystery of the Shape Parameter III

    • Author: Lin-Tian Luh
    • Year: 2016
    • Source: Applied and Computational Harmonic Analysis (Elsevier)

  • The Mystery of the Shape Parameter IV

    • Author: Lin-Tian Luh
    • Year: 2014
    • Source: Engineering Analysis with Boundary Elements (Elsevier)

  • The Shape Parameter in the Gaussian Function II

    • Author: Lin-Tian Luh
    • Year: 2013
    • Source: Engineering Analysis with Boundary Elements (Elsevier)

  • The Shape Parameter in the Gaussian Function

    • Author: Lin-Tian Luh
    • Year: 2012
    • Source: Computers and Mathematics with Applications (Elsevier)

  • The Shape Parameter in the Shifted Surface Spline III

    • Author: Lin-Tian Luh
    • Year: 2012
    • Source: Engineering Analysis with Boundary Elements (Elsevier)

  • Evenly Spaced Data Points and Radial Basis Functions

    • Author: Lin-Tian Luh
    • Year: 2011
    • Source: WIT Transactions on Modelling and Simulation

  • The Crucial Constants in the Exponential-Type Error Estimates for Gaussian Interpolation

    • Author: Lin-Tian Luh
    • Year: 2008
    • Source: Analysis in Theory and Applications

  • A Direct Prediction of the Shape Parameter in the Collocation Method of Solving Poisson Equation (Preprint)

    • Author: Lin-Tian Luh
    • Year: 2022
    • Source: Multidisciplinary Digital Publishing Institute (MDPI Preprints)

 

Vladimir Kodnyanko | Applied Mathematics | Best Researcher Award

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Dr. Vladimir Kodnyanko | Applied Mathematics | Best Researcher Award

Professor at Siberian Federal University, Russia

Professor Vladimir Kodnyanko, a Doctor of Technical Sciences, serves as a Professor in the Department of Standardization, Metrology, and Quality Management at the Polytechnic Institute of Siberian Federal University. Born on October 26, 1951, in Podtiosovo, Krasnoyarsk Territory, he graduated from Krasnoyarsk State University in 1974 with a degree in Mathematics. His career at Krasnoyarsk Polytechnic Institute began in 1974, progressing from junior researcher to full professor by 2002. Professor Kodnyanko earned his Ph.D. in 1983 from the Research Institute of Mechanical Engineering, Moscow, and his Doctorate in Technical Sciences in 2005 from Krasnoyarsk State Technical University. His research focuses on rapid mathematical modeling and the development of gas-static and hydrostatic bearings, leading to 186 publications, including six monographs, and 39 patents. He has been recognized with multiple honors, such as the honorary title of professor at KSTU in 2001 and an honorary diploma from the Russian Union of Industrialists and Entrepreneurs in 2011. In 2015, he joined the joint dissertation council at SFU and the Institute of Mathematical Modeling SB RAS.

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Education

Professor Vladimir Kodnyanko was born on October 26, 1951, in Podtiosovo, Krasnoyarsk Territory. He pursued higher education at Krasnoyarsk State University, earning a degree in Mathematics in 1974. His academic journey continued with postgraduate studies, leading to a Ph.D. in 1983 from the Research Institute of Mechanical Engineering, Moscow. Demonstrating his commitment to scientific advancement, he obtained his Doctorate in Technical Sciences in 2005 from Krasnoyarsk State Technical University. Throughout his educational journey, Professor Kodnyanko developed a strong foundation in mathematical modeling and engineering applications, which later became central to his research. His expertise in applied mathematics and mechanical engineering has greatly contributed to his innovative approaches in the field of gas-static and hydrostatic bearings. His educational achievements laid the groundwork for a distinguished career in academia, research, and technological development, positioning him as a leading expert in standardization, metrology, and quality management.

Professional Experience

Professor Vladimir Kodnyanko’s professional career spans several decades, beginning in 1974 when he joined Krasnoyarsk Polytechnic Institute as a junior researcher. Over the years, he steadily advanced through academic ranks, serving as an assistant, associate professor, and eventually earning the title of full professor in 2002. His expertise and contributions led him to the Polytechnic Institute of Siberian Federal University, where he currently serves as a professor in the Department of Standardization, Metrology, and Quality Management. His career is marked by active participation in academic councils and professional organizations, including his role in the joint dissertation council at SFU and the Institute of Mathematical Modeling SB RAS. Professor Kodnyanko has also been instrumental in mentoring young researchers, supervising doctoral students, and leading research projects in applied mathematics and engineering. His dedication to academia has significantly influenced the development of precision engineering and mathematical modeling techniques.

Research Interest

Professor Vladimir Kodnyanko’s research focuses on rapid mathematical modeling, with a particular emphasis on gas-static and hydrostatic bearings. His work integrates applied mathematics and engineering principles to enhance the efficiency and performance of high-precision mechanical systems. His studies explore the dynamics of fluid lubrication, optimization of bearing structures, and the application of mathematical models to predict system behavior under various operating conditions. His research has practical applications in aerospace, automotive, and industrial machinery, where high-performance bearings are critical for operational reliability. Professor Kodnyanko has authored 186 scientific publications, including six monographs, and holds 39 patents related to his innovations in mechanical engineering. His pioneering work has contributed significantly to advancing the field of tribology, improving the design and functionality of precision bearings used in various industries. Through his research, he continues to bridge the gap between theoretical mathematics and practical engineering applications.

Awards and Honors

Throughout his distinguished career, Professor Vladimir Kodnyanko has received numerous awards and honors recognizing his contributions to science and engineering. In 2001, he was awarded the honorary title of professor at Krasnoyarsk State Technical University in acknowledgment of his academic and research achievements. His dedication to advancing mathematical modeling and mechanical engineering earned him an honorary diploma from the Russian Union of Industrialists and Entrepreneurs in 2011. His contributions to the field of precision engineering and bearing technology have positioned him as a leading expert in his domain. In addition to institutional honors, he has been actively involved in national and international scientific communities, further solidifying his influence in engineering research. His recognition extends beyond academia, as his work has practical industrial applications that have improved the efficiency and reliability of mechanical systems. His awards reflect his lasting impact on science, engineering, and technological innovation.

Conclusion

Professor Vladimir Kodnyanko’s career exemplifies dedication to research, education, and technological advancement. With a strong foundation in mathematics and engineering, he has made groundbreaking contributions to rapid mathematical modeling and the development of gas-static and hydrostatic bearings. His extensive body of work, including 186 scientific publications and 39 patents, showcases his influence in precision engineering. As a professor at the Polytechnic Institute of Siberian Federal University, he continues to shape the next generation of researchers and engineers. His leadership in academic councils, research institutions, and industrial collaborations highlights his commitment to advancing scientific knowledge and engineering applications. Recognized with multiple prestigious awards, he remains a respected authority in his field. Through his research, mentorship, and professional contributions, Professor Kodnyanko has left an indelible mark on applied mathematics and mechanical engineering, inspiring future innovations in the field.

Publications Top Noted

  • Title: Theoretical Study of the Static and Dynamic Characteristics of a Slotted Adaptive Hydrostatic Thrust Bearing with a Regulator of the Lubricant Output Flow
    Authors: V.A. Kodnyanko, A.S. Kurzakov, A.V. Surovtsev, S. Belyakova, L. Gogol
    Year: 2022
    Citations: 1
    Source: Mathematics

  • Title: Theoretical Study on Compliance and Stability of Active Gas-Static Journal Bearing with Output Flow Rate Restriction and Damping Chambers
    Authors: V.A. Kodnyanko, A.S. Kurzakov, O. Grigorieva, A.V. Surovtsev, L.V. Strok
    Year: 2021
    Citations: Not specified
    Source: Lubricants

  • Title: Theoretical Study on Dynamics Quality of Aerostatic Thrust Bearing with External Combined Throttling
    Authors: V.A. Kodnyanko, S.N. Shatokhin
    Year: 2020
    Citations: 21
    Source: FME Transactions 48 (2)

  • Title: Mathematical Modeling on Statics and Dynamics of Aerostatic Thrust Bearing with External Combined Throttling and Elastic Orifice Fluid Flow Regulation
    Authors: V. Kodnyanko, S. Shatokhin, A. Kurzakov, Y. Pikalov
    Year: 2020
    Citations: 16
    Source: Lubricants 8 (5), 57

  • Title: Method for Calculating the Static Characteristics of Radial Hydrostatic Compensator of Machine Tool Bearings Deformation
    Authors: V.A. Kodnyanko
    Year: 2021
    Citations: 4
    Source: Periodica Polytechnica Transportation Engineering 49 (2), 114-119

  • Title: Compliance of Gas-Dynamic Bearing with Elastic Compensator of Movement
    Authors: V.A. Kodnyanko, A.S. Kurzakov
    Year: 2017
    Citations: 3
    Source: Journal of Siberian Federal University. Engineering & Technologies 10 (5), 657

  • Title: Directional Splines for Economic Analytics
    Authors: V. Kodnyanko
    Year: 2020
    Citations: 2
    Source: Economic Computation & Economic Cybernetics Studies & Research 54 (3)

  • Title: On Computational Redundancy of the Dichotomous Search and Conditional Minimization of Unimodal Functions by the Economical Dichotomous Search
    Authors: V.A. Kodnyanko
    Year: 2019
    Citations: 2
    Source: Sistemy i Sredstva Informatiki [Systems and Means of Informatics] 29 (1)

  • Title: Stability of Energy-Saving Adaptive Journal Hydrostatic Bearing with a Restriction of the Output Lubricant Stream
    Authors: V.A. Kodnyanko
    Year: 2012
    Citations: 2
    Source: Engineering & Technologies 4 (6), 674-684