Badr Abou El Majd | Applied Mathematics | Mathematical Engineering Excellence Award

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Prof. Dr. Badr Abou El Majd | Applied Mathematics | Mathematical Engineering Excellence Award

Full Professor at Mohammed V University, Morocco

Dr. Badr Abou El Majd is a distinguished Professor of Applied Mathematics at Mohammed V University, Rabat, with extensive expertise in multidisciplinary optimization, shape design, AI-driven modeling, and computational engineering. Holding a Ph.D. from INRIA Sophia Antipolis and a Master’s from Pierre and Marie Curie University, his research spans aerospace, transportation, smart systems, and biomedical applications. He has authored over 80 peer-reviewed publications, edited scientific volumes, and holds several patents. As a leader in numerous international research projects and conferences, including EU Erasmus+ and IEEE events, Dr. Abou El Majd has demonstrated remarkable scientific leadership. His contributions to innovation, education, and cross-border collaboration are further recognized through awards like the Distinguished Scholar Award (2023–24), making him a pivotal figure in advancing research that bridges theory, technology, and real-world societal needs

Professional Profile

Google Scholar | Scopus Profile  

Education

Dr. Badr Abou El Majd holds a Ph.D. in Applied Mathematics from INRIA Sophia Antipolis – Méditerranée, France (2007), where he specialized in hierarchical algorithms and game strategies for multidisciplinary optimization, with applications in aerospace design. His doctoral work was conducted in collaboration with Dassault Aviation and Piaggio Aero, demonstrating strong industrial-academic integration. He also earned a Master’s degree in Numerical Analysis from Pierre and Marie Curie University (UPMC – Paris 6), one of Europe’s leading institutions in mathematical sciences. His early academic path was marked by a strong foundation in computational mathematics, optimization, and numerical modeling. These formative years provided the analytical and algorithmic rigor that continues to define his research contributions across disciplines such as aerospace engineering, smart systems, and data-driven decision-making.

Experience

With over two decades of academic and research experience, Dr. Abou El Majd has held prominent roles in Morocco and internationally. He is currently a Full Professor at Mohammed V University, Rabat. Previously, he served as an Associate Professor at both the International University of Rabat and Hassan II University in Casablanca. His international exposure includes visiting and research positions at INRIA Lille, University of Lille, and Polytechnique Montréal. He also worked as a scientist researcher at École Centrale Paris and completed post-doctoral research at CNRS/ENSMA. He has led and coordinated large-scale research and tech-transfer projects involving multiple institutions, government bodies, and industry leaders. This broad experience has enabled him to seamlessly bridge academic theory, industrial application, and international collaboration in fields ranging from aerospace to smart agriculture.

Research Interests

Dr. Abou El Majd’s research is deeply rooted in applied mathematics and multidisciplinary optimization, with expansive interests spanning aerodynamic shape design, robust optimization, artificial intelligence, model reduction, decision-making systems, and digital twin frameworks. He actively explores how machine learning, game theory, and numerical methods can be applied to real-world engineering and societal problems. His work spans diverse domains including aerospace design, RFID networks, cognitive radio, smart agriculture, biomedical imaging, and manufacturing optimization. Through his research, he aims to solve high-dimensional, complex optimization problems while ensuring scalability and industrial relevance. He has recently focused on surrogate modeling, AutoML, and intelligent systems for healthcare diagnostics and infrastructure planning, reflecting a strong commitment to leveraging computational science for impactful, cross-disciplinary solutions.

Award and Honor

Dr. Abou El Majd’s contributions to science and innovation have earned him several prestigious honors. Most notably, he received the Distinguished Scholar Award (2023–24) from the Arab Fund for Economic and Social Development, in collaboration with the University of Lille—an acknowledgment of his outstanding research achievements and academic leadership. Earlier, his doctoral studies were supported by a competitive scholarship from Dassault Aviation and Piaggio Aero, underscoring the industrial relevance of his research. He has also secured major research grants from Erasmus+, CNRST Morocco, TUBITAK Turkey, and the OCP Foundation, amounting to several million dirhams. These accolades reflect not only the scientific merit of his work but also its strategic importance in fields such as transportation, defense, AI, and healthcare systems optimization.

Research Skills

Dr. Abou El Majd possesses a robust and diverse skill set spanning numerical optimization, algorithm design, scientific programming, and AI integration. He is proficient in developing multilevel optimization frameworks, parameterization techniques, and model reduction strategies. His capabilities extend to software architecture, cloud platform development, and AI-enhanced decision systems. He has implemented and applied methods like genetic algorithms, particle swarm optimization, and POD-based reduced-order modeling. His technical expertise is complemented by certifications in Business Intelligence (IBM), Big Data Analytics (Griffith University), and Artificial Intelligence (Accenture). His ability to lead multidisciplinary teams and integrate computational techniques with industrial challenges makes him an effective innovator and collaborator. He also brings strong experience in simulation, CFD, robust design, and real-time optimization across diverse technological sectors.

Publication Top Notes

  • Title: Calibration of POD Reduced‐Order Models Using Tikhonov Regularization
    Authors: L. Cordier, B. Abou El Majd, J. Favier
    Year: 2010
    Citations: 183

  • Title: Nested and Self-Adaptive Bézier Parameterizations for Shape Optimization
    Authors: J.A. Désidéri, B. Abou El Majd, A. Janka
    Year: 2007
    Citations: 90

  • Title: A Particle Swarm Optimization Based Algorithm for Primary User Emulation Attack Detection
    Authors: W.F. Fihri, Y. Arjoune, H. El Ghazi, N. Kaabouch, B. Abou El Majd
    Year: 2018
    Citations: 34

  • Title: Multilevel Strategies for Parametric Shape Optimization in Aerodynamics
    Authors: B. Abou El Majd, J.A. Désidéri, R. Duvigneau
    Year: 2008
    Citations: 28

  • Title: Deep Learning-Based Intrusion Detection System for Advanced Metering Infrastructure
    Authors: Z. El Mrabet, M. Ezzari, H. Elghazi, B.A. El Majd
    Year: 2019
    Citations: 24

  • Title: Primary User Emulation Attacks: A Detection Technique Based on Kalman Filter
    Authors: Z.E. Mrabet, Y. Arjoune, H.E. Ghazi, B.A.A. Majd, N. Kaabouch
    Year: 2018
    Citations: 23

  • Title: Embedding Lattice Structures into Ship Hulls for Structural Optimization and Additive Manufacturing
    Authors: A. Armanfar, A.A. Tasmektepligil, R.T. Kilic, S. Demir, S. Cam, Y. Karafi, B.A. El Majd, et al.
    Year: 2024
    Citations: 20

  • Title: Bayesian Decision Model with Trilateration for Primary User Emulation Attack Localization in Cognitive Radio Networks
    Authors: W.F. Fihri, H. El Ghazi, N. Kaabouch, B.A. El Majd
    Year: 2017
    Citations: 20

  • Title: Homogenization of Periodic Structured Materials with Chiral Properties
    Authors: O. Ouchetto, B.A. El Majd, H. Ouchetto, B. Essakhi, S. Zouhdi
    Year: 2016
    Citations: 20

  • Title: Aerodynamic Shape Optimization Using a Full and Adaptive Multilevel Algorithm
    Authors: B. Abou El Majd, R. Duvigneau, J.A. Désidéri
    Year: 2006
    Citations: 20

  • Title: LSTM-Based Neural Network Architecture for Predicting the Nonlinear Dynamic Behavior of Functional Gradient Viscoelastic Porous Plates
    Year: 2025
    Citations: 1

  • Title: Robust Shape Optimization Using Artificial Neural Networks Based Surrogate Modeling for an Aircraft Wing
    Year: 2024
    Citations: 2

Conclusion

Dr. Badr Abou El Majd exemplifies the modern researcher—analytically rigorous, deeply interdisciplinary, and globally connected. With a rich academic background, impactful research portfolio, and broad leadership experience, he stands as a leading figure in applied mathematics and computational engineering. His ability to bridge theoretical models with industrial and societal needs—through projects in aerospace, healthcare, and smart systems—demonstrates both vision and practical utility. Through international collaborations, patents, high-impact publications, and mentorship roles, he continues to shape emerging research frontiers. His blend of technical depth, strategic leadership, and commitment to innovation make him not only a deserving recipient of high research honors but also a catalyst for future scientific and technological advancements in global contexts.

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 🧠📊. He holds a Ph.D. and has contributed extensively through impactful publications in reputed international journals 📚. Dr. Khan’s academic journey is marked by innovative teaching methodologies and interdisciplinary research that bridges theory and application across science and technology 🔬💡. 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 🎓🏅. 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 🔎💻.

Professional Profile 

Education 🎓📘

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 🏛️. 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 🤖📈. 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 🌍📚.

Professional Experience 🧑‍🏫💼

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 📊📐. In addition to teaching, he has served as a research mentor and thesis advisor, guiding scholars in advanced computational research 🔍👨‍🎓. 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 🔬💡

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 🧠📉. 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 ⚙️🌿🩺. 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 🚀📚.

Awards and Honors 🏆🎖️

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 🌟📜. 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 🧾🗣️. These honors reflect his dedication to pushing the boundaries of research and mentoring the next generation of scientists in his field 🧑‍🔬🏅.

Research Skills 🛠️🧪

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 💻📊. 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 🤖📈. 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 🔍📂.

Publications Top Note 📝

  • 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 4×4 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 🧾✅

Dr. Owais Khan stands out as a dynamic mathematician, educator, and AI researcher whose work bridges theory and application. His multifaceted profile—from academic excellence and international recognition to interdisciplinary research and technical mastery—illustrates his role as a leader in modern scientific inquiry 🌐📘. 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 🧠💡. 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 🌟📚.

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 🌍📘, 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 🌟📊. With a PhD in Applied Mathematics (2024) and over 127 ISI-indexed publications, his work in fluid mechanics and nanomaterial dynamics 💧🧪 has garnered global acclaim. Boasting an H-index of 30 and a cumulative impact factor exceeding 500 🔬📈, 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 🏅🌐, fellowships, and top-cited recognitions. As an organizer and contributor to major scientific forums, he consistently drives forward environmental and thermal engineering research 🌱🔥. Dr. Khan’s dedication, interdisciplinary expertise, and visionary leadership mark him as an outstanding contender for the Young Scientist Award 🏆🔍.

Professional Profile 

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Education 🎓📘

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 🔍📐. 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 📊🔬.

Professional Experience 👨‍🏫💼

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 🌐📚. 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 🌟📖.

Research Interests 🔬🧪

Dr. Sohail Ahmad Khan’s research pursuits orbit the intricate domains of fluid dynamics, nanomaterial science, thermal transport, and nonlinear partial differential equations 💧🌡️. His work primarily addresses real-world problems involving entropy generation, heat and mass transfer, magnetohydrodynamics, and radiative flow phenomena—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 🧠💡. 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 🌍💥.

Awards and Honors 🏅🌟

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) 🌍📊, 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 🥇🌀. 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 📈📚. 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 💫🔍.

Conclusion 🧾✅

Dr. Sohail Ahmad Khan exemplifies the spirit of innovation, academic rigor, and impactful research 🧠🏆. 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 🌐📢. 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 dimension—education, research, service, and community engagement—Dr. Khan proves to be a paragon of academic excellence, richly deserving of recognition on the world stage 🏅🌍.

Publications Top Notes

🔬 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

☀️ 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

🔥 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

💡 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

⚙️ 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

 🌀 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

 💧 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

 🧪 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

 🔬 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

 ⚗️ 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

 🔥 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

Dipesh | Applied Mathematics | Best Researcher Award

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Dr. Dipesh | Applied Mathematics | Best Researcher Award

Assistant Professor at SR University, India

Dr. Dipesh is a dynamic and visionary scholar 🌟 whose research bridges the frontiers of mathematics, engineering, and innovation. With a profound commitment to academic excellence 📚, he has contributed significantly to applied mathematics and interdisciplinary modeling. His scholarly journey is marked by a trail of high-impact publications, collaborative projects, and a passion for advancing scientific knowledge through innovative methods 🧠🔬. Dr. Dipesh’s work seamlessly integrates theory and application, addressing real-world challenges with mathematical precision. As a dedicated educator and researcher 👨‍🏫, he inspires students and peers alike, fostering a culture of curiosity and discovery. Known for his strategic thinking and problem-solving acumen 🎯, he is a driving force in the global research community. His contributions not only elevate his field but also pave the way for future innovations in science and technology 🌐. Dr. Dipesh embodies the spirit of intellectual rigor, innovation, and global impact. 🚀

Professional Profile 

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ORCID Profile

Education 🎓

Dr. Dipesh’s academic voyage began with a thirst for discovery, leading him to earn top distinctions across his educational milestones. From undergraduate brilliance to postgraduate mastery, he consistently demonstrated scholarly agility. His doctoral pursuit was nothing short of transformative, delving deep into the realms of applied mathematics and computational modeling. With a blend of analytical sharpness and creative thought 💡, he shaped a thesis that resonated across disciplines. Through internships, fellowships, and global academic exposure 🌍, Dr. Dipesh embraced both classical theory and cutting-edge advancements, enriching his intellectual toolkit. His academic record reflects not just excellence, but evolution — an unrelenting quest for understanding the mathematical patterns that shape our world. With each degree, he built not just knowledge, but vision — a vision that continues to inspire every academic and professional arena he enters.

Professional Experience 

With a career rooted in purpose and propelled by passion, Dr. Dipesh has crafted a vibrant professional canvas. From research institutions to academic think tanks, he has donned multiple hats — as a lecturer, mentor, consultant, and principal investigator. His work echoes across domains like mathematical modeling, computational simulations, and interdisciplinary analytics 🔍. Through strategic collaborations and leadership in diverse research initiatives, he has translated theory into impact. His roles have spanned curriculum development, peer review, and technological innovation, each enriching his expertise. Dr. Dipesh brings not just experience, but engagement — an unwavering drive to uplift scientific inquiry and educational transformation 📈. Whether guiding students or steering complex projects, he embodies professionalism with a human touch. His journey is marked by meaningful milestones that reflect both depth and diversity — a true blend of intellect and initiative in motion.

Research Interest 🔬

Dr. Dipesh’s research universe orbits around the fusion of abstract theory and practical relevance. He thrives at the intersection of applied mathematics, machine learning, data-driven modeling, and real-world system optimization 🌐. Passionate about unraveling complex dynamics, his work ventures into fractional calculus, differential equations, computational intelligence, and interdisciplinary simulations. Dr. Dipesh views research as a living organism — evolving, adapting, and contributing to the scientific ecosystem. His investigations are not limited to academic curiosity; they aim to decode pressing global issues using mathematical clarity and innovation 🧠. From predictive algorithms to mathematical physics, he embraces complexity with elegance. A firm believer in cross-domain synergy, his inquiries often collaborate with fields like biology, environmental science, and artificial intelligence 🤝. Driven by both rigor and relevance, his research is a beacon for transformative insight and sustainable innovation.

Awards and Honors 🏆

Dr. Dipesh’s accolades reflect his commitment to excellence and his pioneering spirit. Recognized both nationally and internationally, he has received honors that celebrate not just his research, but his contribution to education and societal advancement 🌟. From best paper awards to research fellowships, he has built a distinguished legacy of merit. These recognitions stem from competitive platforms where innovation meets influence. Whether through academic forums, institutional commendations, or international conferences 🌍, his work has earned applause and admiration. His awards are more than trophies — they are testaments to his intellectual resilience, collaborative ethos, and trailblazing ideas. A mentor to many and a leader in thought, Dr. Dipesh’s decorated career is a living narrative of perseverance, curiosity, and global contribution 🏅. These honors reaffirm his role as a changemaker in the ever-expanding sphere of mathematical sciences.

Conclusion 🧭

Dr. Dipesh stands as a luminary whose path fuses intellect, imagination, and impact. His academic roots, professional ventures, and research brilliance have built a profile defined by depth and dynamism 🌈. More than just a mathematician, he is a storyteller of systems, a bridge between theory and transformation. Every equation he solves and every model he constructs echoes his belief in knowledge as a catalyst for change. As a scholar, mentor, and visionary, he continues to shape minds and spark innovation across continents 📚✨. Dr. Dipesh doesn’t just follow the path — he crafts it, inspiring future thinkers to ask bold questions and dream without limits. His legacy is not only found in published pages or professional positions, but in the lives he touches and the paradigms he shifts 🔄. He is a vibrant force — ever-evolving, ever-inspiring, and ever-forward.

Publications Top Notes

  • 🌿 Effect of time delay on dynamic of plant competition under allelopathy
    Authors: P.K. Dipesh
    Year: 2022
    Citations: 11
    Source: Mathematical Methods in the Applied Sciences

  • 🌲 Optimizing industrial growth through alternative forest biomass resources: A mathematical model using DDE
    Authors: Dipesh, P. Kumar, C. Cattani
    Year: 2023
    Citations: 10
    Source: International Journal of Mathematics and Computer in Engineering

  • 🌱 Effect of time-lag on two mutually competing plant populations under allelochemicals
    Authors: P.K. Dipesh
    Year: 2022
    Citations: 10
    Source: Journal of Physics: Conference Series 2267 (1), 012019

  • 🔬 Enhancing high frequency magneto-dielectric performance with exchange-coupled garnet/spinel ferrite composites
    Authors: Dipesh, A. Sharma, H. Mahajan, N. Aggarwal, S. Sinha, A.K. Srivastava
    Year: 2023
    Citations: 6
    Source: Nano-Structures & Nano-Objects 36, 101035

  • 🧪 Investigating the impact of toxicity on plant growth dynamics through the zero of a fifth-degree exponential polynomial: A mathematical model using DDE
    Authors: Dipesh, P.K.
    Year: 2023
    Citations: 6
    Source: Chaos, Solitons & Fractals 171, 113457

  • 🌾 Modelling the stimulatory and inhibitory allelopathic effects on competing plant populations
    Authors: Dipesh, P. Kumar
    Year: 2022
    Citations: 6
    Source: AIP Conference Proceedings 2435 (1)

  • 📈 Modeling and analysis of demand-supply dynamics with a collectability factor using DDE in economic growth via the Caputo operator
    Authors: Dipesh, Q. Chen, P. Kumar, H.M. Baskonus
    Year: 2024
    Citations: 5
    Source: AIMS Mathematics 9 (3), 7471–7191

  • 🌿 Sensitivity and Directional Analysis of Two Mutually Competing Plant Population Under Allelopathy Using DDE
    Authors: Dipesh, P. Kumar
    Year: 2023
    Citations: 3
    Source: Mathematics and Computing, 605–620

  • 🌱 Role of Delay on Two Competing Plant Populations Under the Allelopathic Effect
    Authors: Dipesh, P. Kumar
    Year: 2022
    Citations: 2
    Source: Emerging Advancements in Mathematical Sciences, 39–58

  • 💰 Stability Analysis of GDP-National Debt Dynamics using Delay Differential Equation
    Authors: Q. Chen, Dipesh, P. Kumar, H.M. Baskonus
    Year: 2024
    Citations: 1
    Source: Fractals, 2540059

  • 🌿 A novel approach to 6th-order DDEs in toxic plant interactions and soil impact: beyond Newton-Raphson
    Authors: Dipesh, P. Kumar
    Year: 2024
    Citations: 1
    Source: Physica Scripta 99 (6), 065236

  • 🧲 Exchange-coupling enhanced: Tailoring structural and magnetic properties of Dy iron garnet ferrite nanoparticles via La substitution
    Authors: Dipesh, A. Sharma, P. Kumar, J.V. Vas, R. Medwal, A.K. Srivastava
    Year: 2024
    Citations: 1
    Source: Journal of Materials Research, 1–18

  • 📊 On the equilibrium point and Hopf-Bifurcation analysis of GDP-national debt dynamics under delayed investment: A new DDE model
    Authors: Dipesh, Q. Chen, P. Kumar, H.M. Baskonus
    Year: 2024
    Citations: 1
    Source: Alexandria Engineering Journal 91, 510–515

  • 🔍 Unlocking the Potential of Garnet Ferrites: A Comprehensive Review on Properties, Preparation Methods, and Applications
    Authors: A. Sharma, Dipesh
    Year: 2024
    Citations: 1
    Source: Materials Performance and Characterization 13 (1), 1–36

  • 🔋 Status and Prospects of GdIG Garnet Ferrites for Energy Storage Devices: A Review
    Authors: A. Sharma, Dipesh, H. Mahajan, A.K. Srivastava
    Year: 2024
    Citations: 1
    Source: Next Generation Materials for Sustainable Engineering, 174–186

  • 🌲 Delay DDE model of forest biomass and competition between wood‐based and synthetic‐based industries
    Authors: Dipesh, P. Kumar
    Year: 2023
    Citations: 1
    Source: Mathematical Methods in the Applied Sciences

  • 🫀 Modelling the Role of Delay in Blood Flow Dynamics in the Human Body using DDE
    Authors: Dipesh, P. Kumar
    Year: 2025
    Citations: –
    Source: Physica A: Statistical Mechanics and its Applications, 130602

  • 💹 On modeling the impact of delay on stock pricing fluctuations using DDE
    Authors: Y. Wang, Dipesh, P. Kumar, H.M. Baskonus, W. Gao
    Year: 2025
    Citations: –
    Source: Physica A: Statistical Mechanics and its Applications, 130601

  • 🍃 Modeling and analyzing delay in plant responses under toxicity
    Authors: Dipesh, P. Kumar, H.M. Baskonus
    Year: 2025
    Citations: –
    Source: Advances in Computational Methods and Modeling for Science and Engineering

  • 🌱 Effect of time delay on directional and stability analysis of plant competition for allelochemicals study
    Authors: Dipesh, P. Kumar, H.M. Baskonus, A. Ciancio
    Year: 2025
    Citations: –
    Source: Advances in Computational Methods and Modeling for Science and Engineering

 

Saeed Ahmad | Applied Mathematics | Best Researcher Award

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Assist. Prof. Dr. Saeed Ahmad | Applied Mathematics | Best Researcher Award

Assistant Professor at University of Malakand Chakdara, Pakistan

Dr. Saeed Ahmad is a distinguished researcher and academic in the field of applied mathematics, with a strong focus on dynamical systems, nonlinear analysis, and mathematical biology 🔬📈. He earned his Ph.D. from the University of Nottingham, UK 🇬🇧, where his work on semifluxons in long Josephson junctions gained international recognition 🌍. With over 20 high-impact publications in reputable journals such as Chaos, Solitons and Fractals and Physical Review B 📚🧠, Dr. Ahmad has contributed significantly to the understanding of fractional differential models in epidemiology and physics. Currently serving as an Assistant Professor at the University of Malakand 🇵🇰, he also mentors M.Phil. and Ph.D. scholars, fostering future generations of researchers 🎓👨‍🏫. His expertise spans real and complex analysis, PDEs, and nonlinear waves, underlining his versatility in mathematics 🧮📊. A recipient of a prestigious HEC scholarship, his academic journey is a testament to excellence and dedication ⭐🏅.

Professional Profile

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Education 🎓📘

Dr. Saeed Ahmad holds an impressive academic background rooted in excellence and global exposure. He completed his Ph.D. in Applied Mathematics from the prestigious University of Nottingham, United Kingdom 🇬🇧, focusing on the mathematical modeling of semifluxons in long Josephson junctions—a complex area blending physics and nonlinear analysis 🔬📐. Prior to his doctoral studies, he obtained his M.Phil. and M.Sc. degrees in Mathematics from leading Pakistani institutions, laying a strong foundation in real and complex analysis, differential equations, and functional analysis 📖🧠. Throughout his academic journey, Dr. Ahmad consistently achieved top ranks and received multiple scholarships for his outstanding performance 🏅✍️. His educational credentials are a testimony to his dedication, intellectual rigor, and commitment to advancing mathematical sciences on both theoretical and applied fronts 📊📏.

Professional Experience 🧑‍🏫💼

Dr. Saeed Ahmad is currently serving as an Assistant Professor in the Department of Mathematics at the University of Malakand, Pakistan 🇵🇰, where he plays a pivotal role in teaching, mentoring, and leading research initiatives. With over a decade of academic experience, he has guided M.Phil. and Ph.D. students in areas like nonlinear dynamics, fractional calculus, and mathematical biology 🎓🔬. His teaching philosophy blends analytical precision with real-world relevance, inspiring students to approach mathematics as a powerful problem-solving tool 🧮🧑‍🎓. In addition to his academic duties, Dr. Ahmad actively contributes to curriculum development, seminars, and interdisciplinary collaborations across departments 🤝📋. He has also participated in international conferences and workshops, enhancing his global academic engagement 🌍📢. His professional journey reflects a balanced blend of scholarly depth and educational leadership, making him a cornerstone of the university’s mathematical research community 🏛️📚.

Research Interests 🔍🧠

Dr. Saeed Ahmad’s research interests lie at the intersection of applied mathematics, nonlinear analysis, and mathematical modeling 📈🧬. He specializes in dynamical systems, fractional differential equations, and nonlinear wave phenomena—applying these concepts to real-world systems in physics, epidemiology, and engineering 🔧⚛️. His work on Josephson junctions, a quantum mechanical device, has garnered international recognition and continues to influence modern theoretical physics 🧲🌐. Additionally, Dr. Ahmad explores the dynamics of infectious disease models using fractional calculus to improve predictive accuracy in biological systems 🧫🦠. He has authored over 20 impactful research papers in leading journals such as Chaos, Solitons & Fractals and Physical Review B, demonstrating both depth and innovation 📚🚀. His interdisciplinary approach bridges theoretical rigor with practical applications, positioning him as a thought leader in mathematical sciences and beyond 🔬🧮.

Awards and Honors 🏆🎖️

Dr. Saeed Ahmad has been recognized for his academic and research excellence with numerous awards and honors that highlight his contributions to mathematics both nationally and internationally 🌟🌐. He was the recipient of a prestigious Higher Education Commission (HEC) scholarship for his Ph.D. studies in the UK, a testament to his exceptional academic merit and potential 🇵🇰🎓. His research publications have earned accolades in the form of high-impact citations, reflecting their value within the global scientific community 📖💡. Additionally, Dr. Ahmad has been invited as a speaker at various international conferences, recognizing his expertise in applied mathematics and nonlinear dynamics 🎤📊. His achievements underscore a career built on dedication, innovation, and the pursuit of knowledge. These honors not only reflect individual excellence but also contribute to raising the academic profile of his home institution and country 🏅📘.

Conclusion 📝📌

In summary, Dr. Saeed Ahmad stands as a dedicated scholar, educator, and researcher whose work in applied mathematics continues to make a lasting impact on both theory and real-world applications 🌍🔢. With a solid educational foundation, substantial teaching experience, and a strong portfolio of research contributions, he exemplifies the spirit of academic excellence and innovation 🧑‍🏫🧠. His interdisciplinary focus bridges mathematics with physics and biology, demonstrating the versatility and necessity of mathematical tools in solving modern scientific challenges 🧮🔬. Dr. Ahmad’s recognition through awards and international collaborations further cements his reputation as a respected figure in the global mathematical community 🏆🌐. As he continues to mentor students and publish groundbreaking research, his contributions will undoubtedly shape the future of applied mathematics and inspire the next generation of mathematical thinkers 📚🚀.

Publications Top Notes

  • Controllability of pantograph-type nonlinear non-integer order differential system with input delay

    • Authors: I. Ahmad, S.F. Ahmad, G. ur Rahman, Y. Karaca, Z.A. Khan

    • Year: 2025

    • Source: AEJ – Alexandria Engineering Journal

    • Topic: Control Theory, Delay Systems, Fractional Calculus

  • Vectorial spatial solitons of left and right circularly polarized beams in a chiral atomic medium using complex light fields with spatial structure

    • Authors: R.T. Ahmad, B.A. Bacha, S.F. Ahmad, I. Ahmad

    • Year: 2025

    • Source: [Unspecified Journal]

    • Topic: Optics, Nonlinear Physics

  • Exposure to Acute Concentration of Malathion Induced Behavioral, Hematological, and Biochemical Toxicities in the Brain of Labeo rohita

    • Authors: S. Ullah, S.F. Ahmad, M.K. Ashraf, T. Iqbal, M.M. Azzam

    • Year: 2025

    • Source: Life

    • Topic: Ecotoxicology, Behavioral Neuroscience

  • Empowering silver and copper nanoparticles through aqueous fruit extract of Solanum xanthocarpum for sustainable advancements

    • Authors: G. Rahman, H. Fazal, A. Ullah, G. Zengin, A. Farid

    • Year: 2025

    • Citations: 6

    • Source: Biomass Conversion and Biorefinery

    • Topic: Green Chemistry, Nanotechnology

  • A new fractional infectious disease model under the non-singular Mittag–Leffler derivative

    • Authors: X. Liu, M. Ur Rahmamn, S.F. Ahmad, D.I. Baleanu, Y. Nadeem Anjam

    • Year: 2025

    • Citations: 15

    • Source: Waves in Random and Complex Media

    • Topic: Epidemic Modeling, Fractional Calculus

  • Control of scabies fluctuation during COVID-19 pandemic

    • Authors: Abdullah, S.F. Ahmad, W. Albalawi, N. Omer

    • Year: 2025

    • Source: AEJ – Alexandria Engineering Journal

    • Topic: Infectious Disease Modeling, Public Health

  • Stability analysis and optimal control of a generalized SIR epidemic model with harmonic mean type of incidence and nonlinear recovery rates

    • Authors: S.R. Chawla, S.F. Ahmad, A. Khan, K.S. Nisar, H.M. Ali

    • Year: 2024

    • Source: AEJ – Alexandria Engineering Journal

    • Topic: Mathematical Epidemiology, Optimal Control

  • Coherent manipulation of vectorial soliton beam in sodium like atomic medium

    • Authors: B.A. Bacha, S.F. Ahmad, R.T. Ahmad, I. Ahmad

    • Year: 2024

    • Citations: 3

    • Source: Chaos, Solitons and Fractals

    • Topic: Quantum Optics, Solitons

  • Atom localization by damping spectrum of surface plasmon polariton waves

    • Authors: I. Shah, M.D.L. De la Sen, S.F. Ahmad, T.A. Alrebdi, A.H. Abdel-Aty

    • Year: 2024

    • Citations: 1

    • Source: AEJ – Alexandria Engineering Journal

    • Topic: Plasmonics, Atomic Physics

  • Beneficial Effects of Natural Alkaloids from Berberis glaucocarpa as Antidiabetic Agents: An In Vitro, In Silico, and In Vivo Approach

    • Authors: M. Alamzeb, S.T.A. Shah, H. Hussain, R.Q. Ullah, E.A. Ali

    • Year: 2024

    • Citations: 6

    • Source: ACS Omega

    • Topic: Drug Discovery, Natural Products, Diabetes

 

Ashot Gevorkyan | Applied Mathematics | Pioneer Researcher Award

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Prof. Ashot Gevorkyan | Applied Mathematics | Pioneer Researcher Award

Dr.Sci. at Institute for Informatics and Automation Problems NAS of Republic of Armenia

Professor Ashot Sergei Gevorkyan is a distinguished theoretical physicist and mathematician specializing in quantum physics, mathematical modeling, and complex dynamical systems. Serving as Head of Scientific Direction for Modeling of Multiscale Physical-Chemical Processes, he has significantly contributed to foundational quantum mechanics, quantum chaos, stochastic systems, and spin dynamics. With a PhD from Leningrad State University and a Doctor of Sciences from St. Petersburg State University, his career spans prestigious institutions across Armenia and Russia. Prof. Gevorkyan has led numerous international research projects, including INTAS and ISTC grants, and developed high-performance parallel algorithms for quantum simulations. His prolific publication record in leading journals like Foundations of Physics, Physics of Atomic Nuclei, and Particles highlights groundbreaking work on quantum vacuum, three-body systems, and self-organizing processes. A former editorial board member of the Journal of Computational Science (Elsevier), he continues to push the boundaries of quantum theory and computational modeling with remarkable depth and innovation.

Professional Profile 

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Education

Professor Ashot Gevorkyan earned his foundational education in theoretical physics and mathematics at the Leningrad State University, where he received his PhD in Physics and Mathematics in 1978. His doctoral work focused on nonlinear dynamical systems and quantum mechanics. He later earned the prestigious Doctor of Sciences degree in 1990 from the renowned St. Petersburg State University, cementing his expertise in the fields of quantum physics and applied mathematics. Throughout his academic journey, Prof. Gevorkyan has continually integrated rigorous mathematical frameworks with physical theory, demonstrating a strong interdisciplinary foundation. His academic background set the stage for decades of pioneering research at the interface of theoretical physics, stochastic dynamics, and computational modeling. In addition to his formal degrees, Prof. Gevorkyan has participated in numerous international workshops, advanced courses, and research collaborations, enriching his academic repertoire and keeping him at the forefront of contemporary physics and mathematical innovation.

Professional Experience

Prof. Ashot Gevorkyan has held a variety of prominent academic and research roles throughout his distinguished career. He began as a researcher at the Yerevan Physics Institute and later joined the Institute for Informatics and Automation Problems of the National Academy of Sciences of Armenia, where he led groundbreaking work in theoretical modeling and computational physics. He also served as a professor at the State Engineering University of Armenia and collaborated internationally with institutions in Russia and across Europe. Currently, he is Head of the Scientific Direction for Modeling of Multiscale Physical-Chemical Processes. Prof. Gevorkyan has been a principal investigator in multiple large-scale international research projects under the auspices of INTAS, ISTC, and other funding bodies, focusing on quantum chaos, complex systems, and nonlinear dynamics. His leadership in scientific modeling and computational theory has earned him a reputation as a trailblazer in both academic and applied physics communities.

Research Interest

Prof. Ashot Gevorkyan’s research interests lie at the intersection of theoretical physics, quantum mechanics, and complex dynamical systems. He is particularly renowned for his work in quantum chaos, stochastic dynamics, and modeling of multiscale systems. His investigations explore the nature of quantum vacuum, self-organizing processes in quantum systems, and nonlinear spin dynamics in stochastic fields. He has also made notable advances in mathematical modeling using high-performance parallel computing to simulate many-body quantum systems and dissipative environments. His work often combines mathematical rigor with physical intuition, producing results that influence both theory and practical applications. Prof. Gevorkyan’s research portfolio extends to optical turbulence, quantum three-body problems, and fractal structures in open quantum systems. His cross-disciplinary approach has fostered collaborations across mathematics, physics, and computer science, contributing significantly to our understanding of complex physical phenomena and enabling new computational techniques in modern physics.

Award and Honor

Throughout his career, Prof. Ashot Gevorkyan has received numerous awards and honors recognizing his exceptional contributions to science. He has been honored by leading scientific institutions for his pioneering work in quantum theory and mathematical modeling. His projects have received support and recognition from international research programs such as INTAS (International Association for the promotion of cooperation with scientists from the New Independent States of the former Soviet Union) and ISTC (International Science and Technology Center), reflecting the global impact of his research. He has been invited to serve as a keynote speaker and visiting scientist at several prominent international conferences and workshops. Prof. Gevorkyan also served on the editorial board of the Journal of Computational Science (Elsevier), a role that underscores his status as a leading voice in the computational physics community. These accolades affirm his influence in shaping contemporary research across theoretical and applied physics.

Conclusion

Professor Ashot Gevorkyan stands as a luminary in the fields of theoretical physics and computational mathematics. His deep expertise in quantum systems, chaotic dynamics, and complex modeling has not only advanced fundamental science but also provided new computational tools for understanding nature’s most intricate processes. With a career spanning over four decades, he has demonstrated an unwavering commitment to scientific excellence through research, teaching, and international collaboration. His interdisciplinary work bridges theoretical insights with practical innovations, setting a high standard in modern scientific inquiry. Recognized both nationally and internationally, Prof. Gevorkyan continues to inspire the global scientific community through his profound intellect, visionary ideas, and groundbreaking publications. His legacy is defined by a lifelong pursuit of knowledge and a passion for decoding the complexities of the universe through mathematics and physics.

Publications Top Notes

  • Title: General Three-Body Problem in Conformal-Euclidean Space: New Properties of a Low-Dimensional Dynamical System
    Authors: A.S. Gevorkyan, A.V. Bogdanov, V.V. Mareev
    Year: 2024
    Source: Particles, 2024

  • Title: Quantum Chromodynamics of the Nucleon in Terms of Complex Probabilistic Processes
    Authors: A.S. Gevorkyan, A.V. Bogdanov
    Year: 2024
    Citations: 1
    Source: Symmetry, 2024

  • Title: Time-Dependent 4D Quantum Harmonic Oscillator and Reacting Hydrogen Atom
    Authors: A.S. Gevorkyan, A.V. Bogdanov
    Year: 2023
    Citations: 1
    Source: Symmetry, 2023

  • Title: Theoretical and Numerical Study of Self-Organizing Processes in a Closed System Classical Oscillator and Random Environment
    Authors: A.S. Gevorkyan, A.V. Bogdanov, V.V. Mareev, K.A. Movsesyan
    Year: 2022
    Citations: 2
    Source: Mathematics, 2022

  • Title: Hidden Dynamical Symmetry and Quantum Thermodynamics from the First Principles: Quantized Small Environment
    Authors: A.S. Gevorkyan, A.V. Bogdanov, V.V. Mareev
    Year: 2021
    Citations: 3
    Source: Symmetry, 2021

  • Title: Gamma Radiation Production Using Channeled Positron Annihilation in Crystals
    Authors: A.S. Gevorkyan, K.B. Oganesyan, Y.V. Rostovtsev, G. Kurizki
    Year: 2015
    Citations: 61
    Source: Laser Physics Letters, 12(7), 076002

  • Title: Dielectric Permittivity Superlattice Formation
    Authors: G.A. Amatuni, A.S. Gevorkyan, S.G. Gevorkian, A.A. Hakobyan, K.B. Oganesyan, et al.
    Year: 2008
    Citations: 60
    Source: Laser Physics, 18, 608–620

  • Title: Statistical Properties of Random Environment of 1D Quantum N-Particles System in External Field
    Authors: A.S. Gevorkyan, A.A. Gevorkyan, K.B. Oganesyan
    Year: 2010
    Citations: 45
    Source: Physics of Atomic Nuclei, 73, 320–325

  • Title: A Disordered 1D Quantum N-Particle System in an Environment under the Influence of an External Field
    Authors: A.S. Gevorkyan, A.A. Gevorkyan, K.B. Oganesyan, G.O. Sargsyan, et al.
    Year: 2010
    Citations: 44
    Source: Physica Scripta, 2010 (T140), 014045

  • Title: Quantum-Mechanical Channel of Interactions Between Macroscopic Systems
    Authors: R.S. Sargsyan, G.G. Karamyana, A.S. Gevorkyan, A.Y. Khrennikov
    Year: 2010
    Citations: 22
    Source: AIP Conference Proceedings, 1232(1), 267

  • Title: Random Motion of Quantum Harmonic Oscillator – Thermodynamics of Nonrelativistic Vacuum
    Authors: A.V. Bogdanov, A.S. Gevorkyan, A.G. Grigoryan
    Year: 1999
    Citations: 20
    Source: AMS IP Studies in Advanced Mathematics, 13, 81–112

  • Title: Bioscope: New Sensor for Remote Evaluation of the Physiological State of Biological Systems
    Authors: R.S. Sargsyan, A.S. Gevorkyan, G.G. Karamyan, V.T. Vardanyan, et al.
    Year: 2011
    Citations: 15
    Source: Physical Properties of Nanosystems, 299–309

  • Title: Three Body Multichannel Scattering as a Model of Irreversible Quantum Mechanics
    Authors: A.V. Bogdanov, A.S. Gevorkyan
    Year: 1997
    Citations: 13
    Source: arXiv preprint, quant-ph/9712022

  • Title: Nonrelativistic Quantum Mechanics with Fundamental Environment
    Author: A.S. Gevorkyan
    Year: 2012
    Citations: 12
    Source: Theoretical Concepts of Quantum Mechanics, 161–187

  • Title: Retracted: New Mathematical Conception and Computation Algorithm for Study of Quantum 3D Disordered Spin System under the Influence of External Field
    Authors: A.S. Gevorkyan, C.K. Hu, S. Flach
    Year: 2010
    Citations: 12
    Source: Transactions on Computational Science VII, E1–E1

  • Title: Regular and Chaotic Quantum Dynamics in Atom-Diatom Reactive Collisions
    Authors: A.S. Gevorkyan, A.V. Bogdanov, G. Nyman
    Year: 2008
    Citations: 12
    Source: Physics of Atomic Nuclei, 71, 876–883

  • Title: Exactly Solvable Models of Stochastic Quantum Mechanics within the Framework of Langevin-Schroedinger Type Equations
    Author: A.S. Gevorkyan
    Year: 2004
    Citations: 11
    Source: Topics in Analysis and its Applications, 415–442

  • Title: A New Parallel Algorithm for Simulation of a Spin-Glass System on Scales of Space-Time Periods of an External Field
    Authors: A.S. Gevorkyan, A.G. Abadzhyan, G.S. Sukiasyan
    Year: 2011
    Citations: 10
    Source: Lab. of Information Technologies

 

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 Profile 

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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. Öchsner, 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. Öchsner, 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-Drăghicescu, 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)