Fan Yang | Computational Mathematics | Best Researcher Award

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Prof. Fan Yang | Computational Mathematics | Best Researcher Award

Professor at Lanzhou University of Technology, China

Professor Fan Yang 🎓, born in April 1976, is a distinguished mathematician at the School of Science, Lanzhou University of Technology, China. With a solid academic foundation—earning his B.Sc., M.Sc., and Ph.D. from Lanzhou University—he has emerged as a notable expert in inverse problems 🔍 and fractional diffusion equations 🌐. His research contributions span over 14 impactful publications in internationally recognized journals, showcasing innovative regularization techniques like Tikhonov, mollification, and quasi-boundary methods 🧮. His work significantly enhances computational stability in solving complex physical models, particularly heat and Poisson equations 🔥➕. Professor Yang collaborates closely with scholars like Chu-Li Fu and Xiao-Xiao Li, reflecting his team-driven approach and scientific synergy 🤝. While his global visibility could be further amplified, his technical depth, precision, and dedication place him among the front-runners in applied mathematics. A trailblazer in mathematical physics, Prof. Yang continues to illuminate intricate problems with clarity and rigor ✨.

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📘 Education

Professor Fan Yang 🎓 embarked on his academic path at Lanzhou University, a premier institution in China 🇨🇳. He obtained his Bachelor’s degree in Mathematics in 2000, deepening his analytical foundations. Committed to advancing knowledge, he earned his Master’s degree in 2007 and later achieved his Doctoral degree in 2014, specializing in mathematical physics equations. This progressive academic journey illustrates a firm dedication to mathematical excellence 📐. His scholarly roots at Lanzhou University equipped him with the skills to explore abstract theories and practical modeling 🧠. The consistent pursuit of higher education across nearly 15 years showcases his unwavering commitment to mastering complexity and innovation. His academic development has been vital in shaping him into a respected voice within the mathematical research community 🔍.

💼 Professional Experience

Professor Fan Yang currently holds a prestigious role at the School of Science, Lanzhou University of Technology 🏫, where he serves as a full professor. With a career rooted in academia, he has accumulated decades of teaching, mentorship, and research leadership 📊. Over the years, he has played a central role in guiding both undergraduate and postgraduate students, helping nurture the next generation of mathematical minds 👨‍🏫. His collaborative efforts with other scholars and his role in departmental research initiatives reflect his deep integration into academic life 🧩. Prof. Yang’s dedication to fostering scientific thought and problem-solving capacity makes him a pillar of his department. His evolving role from student to faculty leader exemplifies his rise through perseverance, expertise, and scholarly drive 🚀.

🔬 Research Interest

Prof. Fan Yang’s research orbits around inverse problems and fractional diffusion equations, niche yet powerful areas within applied mathematics 🧠. His work primarily addresses ill-posed problems in mathematical physics, especially those modeling heat and source detection phenomena 🔥🧊. His innovative application of regularization techniques—such as Tikhonov, truncation, and mollification—enhances stability and solution accuracy in computational models. He focuses on determining unknown parameters from partial data, contributing solutions to real-world problems in geophysics, medical imaging, and thermal analysis 🌍💡. This niche research supports the broader scientific community in understanding and interpreting complex systems. With publications in high-impact journals and a track record of meaningful inquiry, Prof. Yang continues to redefine mathematical boundaries, blending theory and application in impactful, forward-thinking ways 📈🔎.

🏅 Awards and Honors

Though specific awards and honors are not listed in detail, Professor Fan Yang’s academic recognition is evident through consistent publications in reputable international journals 📰. Journals such as Applied Mathematical Modelling, Journal of Inverse and Ill-Posed Problems, and Computational and Applied Mathematics have showcased his findings, underscoring the scholarly value of his work 🏆. His research has earned collaboration with distinguished mathematicians, a subtle indicator of peer recognition and respect 🤝. Serving as a professor at a top Chinese university further indicates institutional acknowledgment of his contributions 🎖️. While formal accolades may not be detailed here, Prof. Yang’s enduring presence in high-level research forums and his intellectual influence make him a quiet achiever whose work speaks volumes through citations and scholarly impact 🌟.

📌 Conclusion

Professor Fan Yang is a dedicated scholar whose academic path, professional evolution, and focused research agenda reflect a life devoted to scientific advancement 🔭. From tackling complex inverse problems to refining numerical solutions for fractional equations, his work resonates across mathematical physics and engineering realms 🌐. With a foundation built at Lanzhou University and a professorship at Lanzhou University of Technology, his influence continues to grow 📘💡. While he may remain understated in accolades, his scholarly contributions are undeniable—spanning critical journals and collaborative research 🧩. Prof. Yang exemplifies how dedication, precision, and thoughtful inquiry can shape the modern mathematical landscape. As a thinker, mentor, and innovator, he is undoubtedly a valuable figure in advancing computational mathematics and applied sciences 💫🧮.

Publications Top Notes

🔹 Title: Simultaneous Inversion of the Source Term and Initial Value of the Multi-Term Time Fractional Slow Diffusion Equation
Authors: L. Qiao, R. Li, Fan Yang, X. Li
Year: 2025 🗓️
Journal: Journal of Applied Analysis and Computation 🏫📚

🔹 Title: Fractional Landweber Regularization Method for Identifying the Source Term of the Time Fractional Diffusion-Wave Equation
Authors: Z. Liang, Q. Jiang, Q. Liu, L. Xu, Fan Yang
Year: 2025 🗓️
Journal: Symmetry 📐📚

🔹 Title: PINN Neural Network Method for Solving the Forward and Inverse Problem of Time-Fractional Telegraph Equation
Authors: Fan Yang, H. Liu, X. Li, J. Cao
Year: 2025 🗓️
Citations: 2 📚
Journal: Results in Engineering ⚙️

🔹 Title: Two Regularization Methods for Identifying the Initial Value of Time-Fractional Telegraph Equation
Authors: Y. Liang, Fan Yang, X. Li
Year: 2025 🗓️
Citations: 2 📚
Journal: Computational Methods in Applied Mathematics 📊

🔹 Title: Two Regularization Methods for Identifying the Unknown Source of Sobolev Equation with Fractional Laplacian
Authors: Fan Yang, L.L. Yan, H. Liu, X. Li
Year: 2025 🗓️
Citations: 4 📚
Journal: Journal of Applied Analysis and Computation 🏫

🔹 Title: Two Regularization Methods for Identifying the Source Term of Caputo-Hadamard Type Time Fractional Diffusion-Wave Equation
Authors: Fan Yang, R. Li, Y. Gao, X. Li
Year: 2025 🗓️
Journal: Journal of Inverse and Ill-Posed Problems 🔄📚

🔹 Title: Effect of Surface Effect on Linear Bending Behavior of Nano-Switch Structure
Authors: Fan Yang, X. Wang, C. Li
Year: 2024 🗓️
Journal: Yingyong Lixue Xuebao (Chinese Journal of Applied Mechanics) 🔧📚

🔹 Title: Simultaneous Identification of the Unknown Source Term and Initial Value for the Time Fractional Diffusion Equation with Local and Nonlocal Operators
Authors: L. Qiao, Fan Yang, X. Li
Year: 2024 🗓️
Citations: 3 📚
Journal: Chaos, Solitons and Fractals 🌀

🔹 Title: Analysis of Nonlinear Bending Behavior of Nano-Switches Considering Surface Effects
Authors: Fan Yang, X. Wang, X. Song, W. Yang
Year: 2024 🗓️
Journal: Discover Nano 🔬📚

Mansi Palav | Numerical Analysis | Best Researcher Award

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Assist. Prof. Dr. Mansi Palav | Numerical Analysis | Best Researcher Award

Assistent Professor at SIES College of Arts, Science and Commerce, India

Dr. Mansi Subhash Palav 🌟 is a passionate researcher in Applied Mathematics, currently pursuing her Ph.D. at SVNIT Surat 🎓 with an exceptional academic record, including a Gold Medal in M.Tech from DIAT Pune 🏅. Her expertise spans numerical analysis, mathematical modeling, and image encryption 🔐, demonstrated through high-impact publications in Q1 and Q2 SCIE journals 📚. A double CSIR-NET qualifier with JRF and SET credentials 🧠, she has also presented at over ten prestigious international conferences 🌍. Her innovative work using B-splines for solving complex equations reflects her dedication to cutting-edge research 🧮. Beyond academia, she’s contributed as a Subject Matter Expert and Visiting Faculty, nurturing mathematical minds with clarity and precision 👩‍🏫. Her achievements are crowned with multiple national awards, reflecting a blend of academic brilliance and research finesse 🏆. Driven by curiosity and innovation, Dr. Palav stands out as a dynamic force in mathematical sciences 💡✨.

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Education 🎓📘

Dr. Mansi Palav’s academic voyage began with brilliance and determination. She earned her B.Sc. in Mathematics with distinction from Ramniranjan Jhunjhunwala College, Mumbai 🏛️, laying a solid foundation for her mathematical pursuits. Continuing this trajectory, she completed her M.Sc. in Mathematics from K.J. Somaiya College of Science and Commerce, Mumbai University 📈. Driven by a passion for applied mathematics, she pursued her M.Tech in Modeling and Simulation from DIAT Pune, emerging as a Gold Medalist 🥇. Her academic trail then led her to pursue a Ph.D. at SVNIT Surat under the AICTE Doctoral Fellowship 🧑‍🔬, specializing in numerical solutions of differential equations using B-spline functions. Her educational journey is marked not only by stellar grades and prestigious institutions but by a continual quest for deeper understanding and innovation. Each degree earned is a testament to her curiosity, diligence, and drive to make meaningful contributions to mathematics 🧠✨.

Professional Experience 👩‍🏫💼

Dr. Mansi Palav’s professional journey is as vibrant as her academic path. She has served as a Subject Matter Expert in Mathematics at Evelyn Learning Systems, crafting top-tier content tailored for academic clarity 📖. Her passion for teaching also led her to be a Visiting Faculty at K.J. Somaiya College of Science and Commerce, where she inspired undergraduate minds with lucid explanations and real-world mathematical connections 🧮✨. Beyond classrooms, she collaborated on advanced simulation projects during her M.Tech, cultivating skills in modeling complex systems 🛠️. Her involvement in interdisciplinary initiatives has equipped her with a versatile outlook, making her adept at both pure and applied mathematical problems 🔍. Whether mentoring, writing, or researching, she brings enthusiasm and precision to each task. Her experience embodies a balanced blend of technical mastery and people-oriented insight, making her a respected contributor in both academic and educational domains 🌐📚.

Research Interest 🧪📊

A passionate scholar at heart, Dr. Mansi Palav’s research realm revolves around the elegant applications of mathematics in solving real-world puzzles. Her primary focus lies in numerical analysis, specifically using B-spline techniques to solve ordinary and fractional differential equations 🔢. She is deeply intrigued by the potential of mathematical modeling to decode complex natural and engineered systems 🌿⚙️. Additionally, her work extends to cutting-edge areas such as image encryption and scientific computing, marrying abstract theory with practical relevance 🔐💻. Her methodological approach combines analytical precision with computational power, enabling robust simulations and innovative problem-solving strategies. With multiple publications in high-impact Q1 and Q2 SCIE journals, Dr. Palav demonstrates an unwavering commitment to original research 📄💥. She is continually expanding her research horizon by integrating cross-disciplinary elements that enrich the applicability and depth of her mathematical endeavors, making her a rising torchbearer in applied mathematics 🔬📈.

Awards and Honors 🏅🌟

Dr. Mansi Palav’s exceptional accomplishments have been celebrated through numerous accolades and prestigious recognitions. She proudly earned the Gold Medal 🥇 during her M.Tech at DIAT Pune, underscoring her academic excellence. A two-time qualifier of the CSIR-NET exam with Junior Research Fellowship (JRF), she has also cracked the SET exam, further affirming her scholarly caliber 🎖️. Her research prowess has been showcased at over ten reputed international and national conferences 🌍, where she has delivered insightful presentations and received wide acclaim. A recipient of the AICTE Doctoral Fellowship at SVNIT Surat, she has also been recognized by the Indian Mathematical Society and other prominent platforms for her outstanding contributions 🧠🏆. These honors not only validate her expertise but also spotlight her as a promising voice in the mathematical sciences. With each award, she adds a new feather to her cap, fueling her passion for excellence and innovation in mathematics 🌠💡.

Conclusion ✨

Dr. Mansi Palav exemplifies a rare blend of intellectual brilliance, creative thinking, and unyielding perseverance 🚀. Her journey through academia, research, and education paints a picture of a dynamic mathematician committed to pushing the boundaries of knowledge 🧭. With a rich foundation in numerical methods and a keen eye for practical applications, she continues to make waves in mathematical modeling, encryption technologies, and computational simulations 🔄📉. Her accolades and professional experience echo her dedication, while her ability to inspire and lead showcases her role as an emerging thought leader in her field 🌟📢. As she strides forward in her research career, Dr. Palav remains rooted in curiosity and driven by impact, ready to illuminate new paths in applied mathematics and beyond. With each step, she not only elevates her field but also empowers future generations of mathematical minds 💫🎓.

Publications Top Notes

  • Redefined Fourth Order Uniform Hyperbolic Polynomial B-Splines Based Collocation Method for Solving Advection-Diffusion Equation

    ✍️ Authors: M.S. Palav, V.H. Pradhan
    📅 Year: 2025
    📜 Citation: Applied Mathematics and Computation, 484, 128992
    🌐 Source: Applied Mathematics and Computation
  • A Masking-Based Image Encryption Scheme Using Chaotic Map and Elliptic Curve Cryptography

    ✍️ Authors: M. Palav, R.T. Gode, S. Krishna Murthy
    📅 Year: 2021
    📜 Citation: Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy
    🌐 Source: SpringerLink
  • Efficient Numerical Solution of Burgers’ Equation Using Collocation Method Based on Re-Defined Uniform Hyperbolic Polynomial B-Splines

    ✍️ Authors: M. Palav, V. Pradhan
    📅 Year: 2025
    📜 Citation: Journal of Applied Mathematics and Computing, 1-46
    🌐 Source: SpringerLink
  • B-Spline Finite Element Solution of 1D Contaminant Transport Equation Along Unsteady Flow in Saturated Contaminant Free Porous Media with General Boundary Conditions

    ✍️ Authors: M.S. Palav, V.H. Pradhan
    📅 Year: 2024
    📜 Citation: International Journal of Computing Science and Mathematics, 20(4), 353-370
    🌐 Source: Inderscience Publishers
  • Comparison of Numerical Solution of Consolidation Equation in One Dimension by Finite Difference Methods and Finite Element Method with Analytical Solution

    ✍️ Authors: S.L. Gosiya, M.S. Palav, V.H. Pradhan
    📅 Year: 2023
    📜 Citation: Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy
    🌐 Source: SpringerLink
  • An Efficient Image Encryption Scheme Combining Rubik’s Cube Principle with Masking

    ✍️ Authors: M. Palav, R.T. Gode, S.K. Murthy
    📅 Year: 2022
    📜 Citation: Neural Networks, Machine Learning, and Image Processing, 181-198
    🌐 Source: SpringerLink

 

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.

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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 analysis—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 Elsevier—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

 

Katlego Sebogodi | Mathematical Modeling | Best Researcher Award

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Dr. Katlego Sebogodi | Mathematical Modeling | Best Researcher Award

Lecturer at University of South Africa, South Africa

Dr. Katlego Sebogodi is a distinguished mathematician and educator with a PhD in Mathematics from the University of Witwatersrand. His research focuses on asymmetric topology, modular quasi-metric spaces, fluid mechanics, and AI-driven mathematical modeling. He has published in reputable journals and supervises postgraduate students in advanced mathematical research. With extensive teaching experience at institutions like the University of South Africa and the University of Johannesburg, he has contributed significantly to mathematics education. A recipient of the 2021 UJ Community Engagement Prize and the 2024 Department of Mathematics Educhanger of the Month award, Dr. Sebogodi actively fosters STEM education through his NPO, MATHSCIEMATICS, and authorship of STAR MATHS and STAR PHYSICS study guides. His leadership roles in academic committees, peer review contributions, and participation in national and international awards highlight his commitment to advancing mathematical sciences. His research, mentorship, and outreach efforts make him a strong candidate for the Best Researcher Award.

Professional Profile

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Education

Dr. Katlego Sebogodi pursued his academic journey in mathematics with a strong foundation at North-West University, where he earned a BSc in Mathematical Sciences (2012-2013), followed by a BSc Honours in Mathematics and Applied Mathematics (2014). He further specialized with an MSc in Mathematics (2015-2016), focusing on advanced mathematical structures. Driven by a passion for mathematical research, he completed his PhD at the University of Witwatersrand (2018-2019) under the supervision of Prof. Olivier Olela Otafudu. His doctoral research explored topological aspects of modular quasi-metric spaces, contributing to the broader understanding of asymmetric topology and metric structures. His academic progression showcases a commitment to deepening his expertise in mathematical sciences, laying a strong foundation for his subsequent teaching, research, and professional contributions. His educational background is complemented by active participation in mathematical awards and workshops, ensuring continuous engagement with emerging trends in the field.

Professional Experience

Dr. Sebogodi has extensive teaching and academic experience across various institutions. Currently, he is a faculty member at the University of South Africa (2025–present), where he lectures on Pre-Calculus. Previously, he served at the University of Johannesburg (2018–2024), delivering courses such as Multivariable Calculus, Topology, and Linear Algebra. His earlier teaching roles include Sol Plaatje University (2018), North-West University (2015, 2017), and multiple secondary schools, where he facilitated mathematics courses for different levels. Beyond teaching, he has played leadership roles in academic committees, including serving as Head of Community Engagement and Tutor Management at the University of Johannesburg. Additionally, he actively supervises postgraduate research, guiding students in fields such as modular metric spaces, AI applications in fluid mechanics, and mathematical modeling for sustainability. His professional trajectory demonstrates a commitment to advancing mathematical education, mentoring young researchers, and contributing to institutional academic excellence.

Research Interests

Dr. Sebogodi’s research spans multiple domains within mathematics and applied sciences. His primary focus is asymmetric topology, particularly modular quasi-pseudometric spaces, contributing to advancements in non-standard metric structures. Additionally, he explores the intersection of mathematics and technology, with interests in data science, machine learning, and artificial intelligence. His work on fluid mechanics involves utilizing physics-informed neural networks (PINNs) to solve complex mathematical models, including rogue wave phenomena. In biomathematics, he investigates mathematical models for sustainability, crime cycles, and resource management. His interdisciplinary approach enables him to bridge theoretical mathematics with practical applications, fostering collaborations across scientific domains. His research outputs include publications in peer-reviewed journals, award presentations, and ongoing supervision of student projects in AI-driven mathematical modeling. Through his research, Dr. Sebogodi aims to contribute innovative mathematical solutions to real-world problems while expanding the frontiers of modern mathematical sciences.

Awards and Honors

Dr. Sebogodi has been recognized for his outstanding contributions to mathematics and education. In 2021, he received the University of Johannesburg Community Engagement Prize for his dedication to outreach and mentorship in mathematics. His commitment to excellence in teaching earned him the 2024 Department of Mathematics Educhanger of the Month award, acknowledging his role as a transformative educator. Beyond institutional recognition, he has been actively involved in community-driven initiatives, such as authoring the STAR MATHS and STAR PHYSICS study guides for high school students. He is also the founder and CEO of MATHSCIEMATICS, an NPO dedicated to supporting mathematics and science education. His contributions to academic service include refereeing for mathematical journals, organizing awards, and serving on curriculum development committees. These accolades reflect his passion for education, research, and community impact, positioning him as an influential figure in mathematical sciences.

Conclusion

Dr. Katlego Sebogodi exemplifies a distinguished scholar and educator committed to advancing mathematics through research, teaching, and community engagement. His academic journey, from earning a PhD in mathematics to mentoring postgraduate students, highlights his dedication to knowledge creation and dissemination. His expertise in asymmetric topology, data science, and mathematical modeling reflects his ability to bridge theoretical mathematics with real-world applications. Beyond academia, his community outreach initiatives and leadership roles showcase his commitment to empowering students and researchers. Recognized for his excellence in teaching and research, he has received multiple awards for his contributions to education and mathematical sciences. As an active researcher, mentor, and educator, Dr. Sebogodi continues to shape the mathematical landscape, making him a deserving candidate for prestigious research and academic awards. His work serves as an inspiration for the next generation of mathematicians, reinforcing the critical role of mathematical sciences in technological and societal advancements.

Publications Top Noted

Title: A Simple Model of the Draupner Wave Experiment
Authors: G.C. Hocking, E. Nel, A. Markham, S. Ahmedai, N. Freeman
Year: 2025
Citations: 0 (as of now)
Source: Partial Differential Equations in Applied Mathematics

Sandipan Mondal | Data Science | Young Scientist Award

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Dr. Sandipan Mondal | Data Science | Young Scientist Award

Post Doctoral Researcher & Adjunct Assistant Professor at National Taiwan Ocean University, India

Dr. Sandipan Mondal is a Post-Doctoral Researcher and Adjunct Assistant Professor at the National Taiwan Ocean University, specializing in fisheries oceanography, climate change effects, species distribution modeling, and marine ecosystem dynamics. His expertise spans fish feeding ecology, taxonomic identification, stable isotope analysis, and fishing gear technology. With a strong research background, he has contributed significantly to habitat modeling and the impact of climate variability on fisheries in the Indian Ocean and Taiwan Strait. Dr. Mondal has an impressive publication record in top-tier journals and has received accolades such as the Young Academician Award and a research grant from the National Science and Technology Council of Taiwan. His ability to integrate advanced computational techniques, machine learning models, and remote sensing in ecological research sets him apart. A dedicated scientist committed to environmental sustainability, he actively collaborates on interdisciplinary projects and participates in academic awards, driving impactful contributions to marine and fishery sciences.

Professional Profile 

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Scopus Profile

Education

Dr. Sandipan Mondal holds a Ph.D. in Fisheries Resource Management from ICAR-Central Institute of Fisheries Education, India. His doctoral research focused on the impact of climate variability on fisheries and marine ecosystems, integrating statistical and computational approaches. Prior to this, he earned a Master’s degree in Fisheries Science with a specialization in Fisheries Resource Management, where he developed expertise in species distribution modeling and fish population dynamics. He also holds a Bachelor’s degree in Fisheries Science, which laid the foundation for his knowledge in aquaculture, fish biology, and marine ecology. His academic journey has been marked by rigorous training in advanced data analysis, remote sensing applications in fisheries, and ecological modeling. Throughout his education, he actively participated in research projects, workshops, and field studies, refining his skills in experimental design and marine biodiversity assessment. His strong academic background and multidisciplinary expertise have enabled him to contribute significantly to fisheries and marine research.

Professional Experience

Dr. Sandipan Mondal is currently a Post-Doctoral Researcher and Adjunct Assistant Professor at the National Taiwan Ocean University. In this role, he conducts research on fisheries oceanography, climate change impacts, and ecosystem-based fisheries management. He has extensive experience in species distribution modeling, stable isotope analysis, and fish feeding ecology, contributing to marine conservation and sustainable fisheries management. Before this, he worked as a Research Associate at ICAR-Central Institute of Fisheries Education, where he engaged in projects related to fisheries stock assessment, climate resilience, and marine habitat modeling. He has also collaborated with international research teams on machine learning applications in ecological studies. Additionally, he has served as a mentor and guest lecturer, sharing his expertise in fisheries science, oceanography, and statistical modeling. His professional journey reflects a strong commitment to interdisciplinary research, academic mentorship, and practical applications of fisheries and marine ecosystem studies.

Research Interest

Dr. Sandipan Mondal’s research interests focus on fisheries oceanography, marine ecosystem modeling, and the impact of climate change on aquatic biodiversity. He specializes in species distribution modeling, habitat suitability analysis, and the use of remote sensing and GIS in fisheries research. His work integrates machine learning techniques and advanced statistical approaches to predict fish population dynamics and assess marine environmental changes. He is particularly interested in the trophic interactions of marine species, stable isotope applications in food web studies, and the sustainability of fisheries resources under changing climatic conditions. His research extends to the development of fishing gear technology, ecological niche modeling, and conservation strategies for commercially important fish species. By combining computational tools and field-based studies, he aims to contribute to sustainable fisheries management and marine biodiversity conservation. His interdisciplinary approach enables him to address complex challenges in fisheries science and oceanographic research.

Awards and Honors

Dr. Sandipan Mondal has received several prestigious awards and honors in recognition of his outstanding contributions to fisheries and marine sciences. He was honored with the Young Academician Award for his groundbreaking research in fisheries oceanography and climate change impacts. He has also been awarded a research grant by the National Science and Technology Council of Taiwan, supporting his innovative work in species distribution modeling and marine ecosystem dynamics. His academic excellence has been acknowledged through multiple best paper and presentation awards at international awards. Additionally, he has been a recipient of merit-based scholarships and fellowships during his academic journey. His commitment to research and innovation has positioned him as a leading expert in fisheries resource management. These accolades reflect his dedication to advancing marine science and his continuous pursuit of solutions for sustainable fisheries and environmental conservation.

Conclusion

Dr. Sandipan Mondal is a dedicated marine scientist whose expertise in fisheries oceanography, climate change impacts, and ecosystem modeling has significantly contributed to the field of fisheries and marine research. His strong academic background, combined with extensive research experience, has allowed him to integrate advanced computational tools and ecological theories to address critical challenges in fisheries management. Through his interdisciplinary approach, he has made notable contributions to marine conservation, sustainable fisheries practices, and climate adaptation strategies. His work has been recognized through numerous awards, grants, and publications in high-impact journals. Beyond research, he is actively involved in academic mentorship and collaborative projects, driving innovation and knowledge exchange in the scientific community. With a passion for environmental sustainability and marine biodiversity conservation, Dr. Mondal continues to explore new frontiers in fisheries science, aiming to bridge the gap between research and practical applications for the benefit of global aquatic ecosystems.

Publications Top Noted

1.

  • Title: Habitat suitability modeling for the feeding ground of immature albacore in the southern Indian Ocean using satellite-derived sea surface temperature and chlorophyll data
  • Authors: S Mondal, AH Vayghan, MA Lee, YC Wang, B Semedi
  • Year: 2021
  • Citations: 26
  • Source: Remote Sensing 13 (14), 2669

2.

3.

  • Title: Long-term observations of sea surface temperature variability in the Gulf of Mannar
  • Authors: S Mondal, MA Lee
  • Year: 2023
  • Citations: 10
  • Source: Journal of Marine Science and Engineering 11 (1), 102

4.

  • Title: Seasonal distribution patterns of Scomberomorus commerson in the Taiwan Strait in relation to oceanographic conditions: An ensemble modeling approach
  • Authors: S Mondal, MA Lee, JS Weng, KE Osuka, YK Chen, A Ray
  • Year: 2023
  • Citations: 9
  • Source: Marine Pollution Bulletin 197, 115733

5.

  • Title: Ensemble modeling of black pomfret (Parastromateus niger) habitat in the Taiwan Strait based on oceanographic variables
  • Authors: S Mondal, MA Lee, YK Chen, YC Wang
  • Year: 2023
  • Citations: 9
  • Source: PeerJ 11, e14990

6.

  • Title: Habitat modeling of mature albacore (Thunnus alalunga) tuna in the Indian Ocean
  • Authors: S Mondal, MA Lee
  • Year: 2023
  • Citations: 8
  • Source: Frontiers in Marine Science 10, 1258535

7.

8.

  • Title: Ensemble three-dimensional habitat modeling of Indian Ocean immature albacore tuna (Thunnus alalunga) using remote sensing data
  • Authors: S Mondal, YC Wang, MA Lee, JS Weng, BK Mondal
  • Year: 2022
  • Citations: 8
  • Source: Remote Sensing 14 (20), 5278

9.

  • Title: Long-term variation of sea surface temperature in relation to sea level pressure and surface wind speed in the southern Indian Ocean
  • Authors: S Mondal, MA Lee, YC Wang, B Semedi
  • Year: 2022
  • Citations: 7
  • Source: Journal of Marine Science and Technology 29 (6), 784-793

10.

  • Title: Changes in properties of polyamide netting materials exposed to different environments
  • Authors: S Mondal, SN Thomas, B Manoj Kumar
  • Year: 2019
  • Citations: 7
  • Source: J Fish Res. 2019; 3 (2): 1-3. J Fish Res 2019 Volume 3 Issue 2

11.

  • Title: Impact of climatic oscillations on marlin catch rates of Taiwanese long-line vessels in the Indian Ocean
  • Authors: S Mondal, A Ray, KE Osuka, RI Sihombing, MA Lee, YK Chen
  • Year: 2023
  • Citations: 6
  • Source: Scientific Reports 13 (1), 22438

12.

  • Title: Detecting the feeding habitat zone of albacore tuna (Thunnus alalunga) in the southern Indian Ocean using multisatellite remote sensing data
  • Authors: S Mondal, YC Lan, MA Lee, YC Wang, B Semedi, WY Su
  • Year: 2022
  • Citations: 5
  • Source: Journal of Marine Science and Technology 29 (6), 794-807

13.

  • Title: Habitat modelling of escolar fish (Lepidocybium flavobrunneum, Smith 1843) in the southwestern Indian Ocean using remote sensing data
  • Authors: RI Sihombing, A Ray, S Mondal, MA Lee
  • Year: 2024
  • Citations: 4
  • Source: International Journal of Remote Sensing 45 (23), 8722-8741

14.

15.

  • Title: Fishery-based adaptation to climate change: The case of migratory species flathead grey mullet (Mugil cephalus L.) in Taiwan Strait, Northwestern Pacific
  • Authors: MA Lee, S Mondal, SY Teng, ML Nguyen, P Lin, JH Wu, BK Mondal
  • Year: 2023
  • Citations: 4
  • Source: PeerJ 11, e15788

16.

  • Title: Distribution patterns of grey mullet in the Taiwan Strait in relation to oceanographic conditions
  • Authors: SY Teng, S Mondal, QH Lu, P Lin, MA Lee, LG Korowi
  • Year: 2024
  • Citations: 2
  • Source: Journal of Marine Science and Engineering 12 (4), 648

17.

  • Title: Modeling of swordtip squid (Uroteuthis edulis) monthly habitat preference using remote sensing environmental data and climate indices
  • Authors: A Haghi Vayghan, A Ray, S Mondal, MA Lee
  • Year: 2024
  • Citations: 2
  • Source: Frontiers in Marine Science 11, 1329254

18.

  • Title: Total catch variability in the coastal waters of Taiwan in relation to climatic oscillations and possible impacts
  • Authors: MA Lee, S Mondal, JH Wu, M Boas
  • Year: 2022
  • Citations: 2
  • Source: Journal of Taiwan Fisheries Society 49 (2), 127-143

19.

  • Title: Cyclic variation in fishing catch rates influenced by climatic variability in the waters around Taiwan
  • Authors: MA Lee, S Mondal, JH Wu, YH Huang, M Boas
  • Year: 2022
  • Citations: 2
  • Source: Journal of Taiwan Fisheries Society 49 (2), 113-125

20.

  • Title: The influence of sea surface temperature on the distribution of albacore tuna (Thunnus alalunga) in the southern Indian Ocean
  • Authors: S Mondal, MA Lee
  • Year: 2018
  • Citations: 1
  • Source: Journal of Fisheries Society Taiwan 45 (4), 253-260

Mohammed Hussein | Applied Mathematics | Best Researcher Award

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Prof. Mohammed Hussein | Applied Mathematics | Best Researcher Award

Academia at University of Baghdad, Iran

Dr. Mohammed Sabah Hussein is a distinguished Professor of Applied Mathematics at the University of Baghdad, College of Science, with a Ph.D. from the University of Leeds. With 18 years of teaching and research experience, his expertise spans inverse problems for heat equations, numerical analysis, fluid dynamics, and mathematical modeling. He has made significant contributions to academia, mentoring postgraduate students and serving in leadership roles, including Head of the Mathematics Department. Dr. Hussein has an impressive publication record in high-impact journals and actively participates in international research collaborations. His academic reputation is reflected in his H-index rankings across Google Scholar, Scopus, and Clarivate. As a member of several professional societies and editorial boards, he is dedicated to advancing applied mathematics. His technical proficiency in MATLAB, Mathematica, and LaTeX, coupled with his extensive research on solving complex mathematical problems, makes him a leading figure in his field.

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile

Education

Dr. Mohammed Sabah Hussein earned his Ph.D. in Applied Mathematics from the University of Leeds, where he specialized in inverse problems for heat equations and numerical analysis. Prior to that, he obtained his Master’s and Bachelor’s degrees in Mathematics from the University of Baghdad, demonstrating early excellence in mathematical modeling and computational techniques. His academic journey has been marked by a strong foundation in mathematical theories, which he later expanded through advanced research in applied mathematics and fluid dynamics. Throughout his education, Dr. Hussein actively engaged in research projects that enhanced his expertise in solving complex mathematical problems, particularly in heat transfer and differential equations. His exposure to international academic environments enriched his analytical skills and deepened his understanding of mathematical applications in real-world scenarios. His educational background continues to influence his teaching and research, enabling him to contribute significantly to mathematical sciences and mentor future scholars in applied mathematics.

Professional Experience

Dr. Mohammed Sabah Hussein is a Professor of Applied Mathematics at the University of Baghdad, College of Science, with 18 years of experience in teaching and research. He has held several academic leadership roles, including serving as Head of the Mathematics Department, where he played a crucial role in curriculum development and faculty mentoring. Over the years, he has supervised numerous postgraduate students, guiding them in advanced mathematical research. Dr. Hussein has collaborated with international institutions on cutting-edge research projects in applied mathematics, enhancing interdisciplinary studies. He has also served as a reviewer and editorial board member for prestigious mathematical journals, contributing to the peer-review process. His expertise in numerical methods, fluid dynamics, and inverse problems has led him to participate in global awards and workshops, where he shares his insights with the academic community. His commitment to research and education solidifies his standing as a leading mathematician.

Research Interest

Dr. Mohammed Sabah Hussein’s research focuses on inverse problems for heat equations, numerical analysis, fluid dynamics, and mathematical modeling. He specializes in solving complex differential equations that arise in real-world applications, particularly in heat transfer and fluid mechanics. His work extends to computational techniques using MATLAB and Mathematica, where he develops algorithms for accurate numerical solutions. Dr. Hussein is also interested in optimization methods and their applications in engineering and physical sciences. His research has contributed to advancements in thermal analysis and industrial processes, demonstrating the practical impact of applied mathematics. Additionally, he collaborates on interdisciplinary projects that integrate mathematics with physics and engineering, broadening the scope of mathematical applications. His publications in high-impact journals reflect his dedication to innovative mathematical research, and his continued exploration of numerical simulations and mathematical modeling ensures his contributions remain at the forefront of applied mathematics advancements.

Awards and Honors

Dr. Mohammed Sabah Hussein has received several prestigious awards and honors for his outstanding contributions to applied mathematics. His research excellence has been recognized with accolades from national and international academic institutions. He has been honored for his high-impact publications and has received grants for his work in mathematical modeling and numerical analysis. Dr. Hussein’s influence in academia is further demonstrated by his strong citation record and H-index rankings in Google Scholar, Scopus, and Clarivate. He has been invited as a keynote speaker at global awards and has received recognition for his mentorship of postgraduate students. His role in advancing mathematical sciences has been acknowledged through memberships in esteemed mathematical societies and editorial boards of reputed journals. These honors reflect his dedication to academic excellence and his influence on the broader mathematical research community.

Conclusion

Dr. Mohammed Sabah Hussein is a highly respected mathematician whose expertise in applied mathematics has significantly impacted academia and research. With a strong educational background and extensive professional experience, he has contributed to solving complex mathematical problems through advanced numerical analysis and modeling. His dedication to mentoring students, publishing high-impact research, and collaborating internationally highlights his commitment to the mathematical sciences. His awards and honors reflect his scholarly influence and contributions to mathematical research. As a professor, researcher, and mentor, Dr. Hussein continues to advance applied mathematics, ensuring its relevance in solving real-world challenges. His work in inverse problems, fluid dynamics, and computational methods cements his reputation as a leader in the field. Through his academic and research endeavors, he remains dedicated to pushing the boundaries of mathematical knowledge and inspiring future generations of mathematicians.

Publications Top Noted

1. Simultaneous determination of time-dependent coefficients in the heat equation

Authors: M. S. Hussein, D. Lesnic, M. I. Ivanchov
Year: 2014
Citations: 61
Source: Computers & Mathematics with Applications, 67(5), 1065-1091

2. An inverse problem of finding the time‐dependent diffusion coefficient from an integral condition

Authors: M. S. Hussein, D. Lesnic, M. I. Ismailov
Year: 2016
Citations: 49
Source: Mathematical Methods in the Applied Sciences, 39(5), 963-980

3. Reconstruction of time-dependent coefficients from heat moments

Authors: M. J. Huntul, D. Lesnic, M. S. Hussein
Year: 2017
Citations: 45
Source: Applied Mathematics and Computation, 301, 233-253

4. Simultaneous determination of time and space-dependent coefficients in a parabolic equation

Authors: M. S. Hussein, D. Lesnic
Year: 2016
Citations: 38
Source: Communications in Nonlinear Science and Numerical Simulation, 33, 194-217

5. Multiple time-dependent coefficient identification thermal problems with a free boundary

Authors: M. S. Hussein, D. Lesnic, M. I. Ivanchov, H. A. Snitko
Year: 2016
Citations: 37
Source: Applied Numerical Mathematics, 99, 24-50

6. Direct and inverse source problems for degenerate parabolic equations

Authors: M. S. Hussein, D. Lesnic, V. L. Kamynin, A. B. Kostin
Year: 2020
Citations: 35
Source: Journal of Inverse and Ill-Posed Problems, 28(3), 425-448

7. Simultaneous determination of time-dependent coefficients and heat source

Authors: M. S. Hussein, D. Lesnic
Year: 2016
Citations: 24
Source: International Journal for Computational Methods in Engineering Science and Mechanics

8. Identification of the time-dependent conductivity of an inhomogeneous diffusive material

Authors: M. S. Hussein, D. Lesnic
Year: 2015
Citations: 24
Source: Applied Mathematics and Computation, 269, 35-58

9. Determination of a time-dependent thermal diffusivity and free boundary in heat conduction

Authors: M. S. Hussein, D. Lesnic
Year: 2014
Citations: 23
Source: International Communications in Heat and Mass Transfer, 53, 154-163

10. Simultaneous Identification of Thermal Conductivity and Heat Source in the Heat Equation

Authors: M. J. Huntul, M. S. Hussein
Year: 2021
Citations: 20
Source: Iraqi Journal of Science, 1968-1978

11. A wavelet-based collocation technique to find the discontinuous heat source in inverse heat conduction problems

Authors: M. Ahsan, W. Lei, M. Ahmad, M. S. Hussein, Z. Uddin
Year: 2022
Citations: 16
Source: Physica Scripta, 97(12), 125208

12. Identification of a multi-dimensional space-dependent heat source from boundary data

Authors: M. S. Hussein, D. Lesnic, B. T. Johansson, A. Hazanee
Year: 2018
Citations: 16
Source: Applied Mathematical Modelling, 54, 202-220

13. Free boundary determination in nonlinear diffusion

Authors: M. S. Hussein, D. Lesnic, M. Ivanchov
Year: 2013
Citations: 16
Source: East Asian Journal on Applied Mathematics, 3(4), 295-310

14. Retrieval of Timewise Coefficients in the Heat Equation from Nonlocal Overdetermination Conditions

Authors: F. Anwer, M. S. Hussein
Year: 2022
Citations: 15
Source: Iraqi Journal of Science, 1184-1199

15. Numerical Solution to Recover Time-dependent Coefficient and Free Boundary from Nonlocal and Stefan Type Overdetermination Conditions in Heat Equation

Authors: M. Qassim, M. S. Hussein
Year: 2021
Citations: 15
Source: Iraqi Journal of Science, 62(3), 950-960

16. Determination of time-dependent coefficient in time fractional heat equation

Authors: Q. W. Ibraheem, M. S. Hussein
Year: 2023
Citations: 14
Source: Partial Differential Equations in Applied Mathematics, 7, 100492

17. Splitting the One-Dimensional Wave Equation, Part II: Additional Data are Given by an End Displacement Measurement

Authors: S. O. Hussein, M. S. Hussein
Year: 2021
Citations: 13
Source: Iraqi Journal of Science, 62(1), 233-239

18. Numerical Solution for Two-Sided Stefan Problem

Authors: M. S. Hussein, Z. Adil
Year: 2020
Citations: 12
Source: Iraqi Journal of Science, 61(2), 444-452

Saif Ur Rehman | Applied Mathematics | Best Researcher Award

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Dr. Saif Ur Rehman | Applied Mathematics | Best Researcher Award

Research Assistant at Consiglio Nazionale delle Ricerche (CNR), Genoa, Italy, Pakistan.

Saif Ur Rehman is a dedicated researcher in Computational Fluid Dynamics (CFD), Numerical Analysis, and Partial Differential Equations, with a strong academic and research background. He has worked as a Research Assistant at the National Research Council, Italy, and previously at the University of Calabria, Italy, and the University of Management and Technology, Pakistan. His research focuses on nanofluid dynamics, MHD flows, bioconvection, and heat transfer, leading to multiple Q1 and Q2 publications in high-impact journals such as Nanomaterials, Mathematics, and Waves in Random and Complex Media. He has received merit-based scholarships and a Research Publication Award, demonstrating his academic excellence. Additionally, he possesses strong technical skills in Python, MATLAB, C++, and LaTeX, aiding in his numerical modeling research. With international research exposure and a growing publication record, Saif Ur Rehman is an emerging scholar in applied mathematics, aiming to expand his contributions to mathematical modeling and computational sciences.

Professional Profile 

Google Scholar

Education

Saif Ur Rehman holds a Master of Science in Mathematics from the University of Management and Technology, Lahore, Pakistan (2019–2021), where he specialized in Advanced Numerical Analysis, Fluid Dynamics, and Differential Equations. His master’s thesis focused on the MHD Williamson Nanofluid Flow over a Slender Elastic Sheet in the Presence of Bioconvection. Before this, he earned a Bachelor of Science in Mathematics from Government College University, Faisalabad (2015–2019), securing a 3.55/4.00 GPA. His undergraduate studies included Fluid Mechanics, Numerical Analysis, Real and Complex Analysis, and C++ Programming, laying a strong foundation for his research in computational mathematics. Throughout his academic journey, he received multiple merit-based scholarships, including the Punjab Education Endowment Fund Scholarship (PEEF) and a fully funded master’s scholarship, reflecting his dedication and academic excellence. His education has equipped him with expertise in mathematical modeling, numerical simulations, and applied mathematics, which he continues to explore in his research.

Professional Experience

Saif Ur Rehman has gained extensive research experience through multiple roles at renowned international institutions. He is currently a Research Assistant at the National Research Council, Genoa, Italy (2024–Present), working on Optimal Robust Shape Control for Distributed Parameter Systems. Previously, he was a University Research Assistant at the University of Calabria, Italy (2023–2024), focusing on applications of heat and mass transfer. His earlier role as a Research Assistant at the University of Management and Technology, Pakistan (2021–2023) involved a major research project on Numerical Methods for Partial Differential Equations, where he contributed to multiple high-impact publications. Alongside research, he worked as a Visiting Lecturer in Mathematics (2021–2022), teaching Calculus, Linear Algebra, Fluid Dynamics, and Numerical Analysis at the undergraduate level. His professional experience demonstrates his ability to conduct applied mathematics research, develop numerical solutions, and contribute to theoretical and computational fluid dynamics.

Research Interest

Saif Ur Rehman’s research is deeply rooted in Computational Fluid Dynamics (CFD), Numerical Analysis, and Partial Differential Equations (PDEs), with a strong focus on heat and mass transfer, MHD flows, and bioconvection. He has extensively studied the dynamics of nanofluids, micropolar fluids, and dusty fluids under various physical constraints, contributing significantly to theoretical and computational modeling in applied mathematics. His work integrates Artificial Neural Networks (ANNs) and Machine Learning techniques to enhance numerical simulations and solve complex mathematical physics problems. His research contributions, published in Q1 and Q2 impact factor journals, cover topics such as the effects of Lorentz and Coriolis forces, Darcy–Forchheimer flow models, and stability analysis of fluid flows. With expertise in Python, MATLAB, C++, and LaTeX, he continues to explore innovative numerical methods for solving real-world mathematical problems, aiming to bridge the gap between theory and industrial applications.

Awards and Honors

Saif Ur Rehman has received multiple scholarships and research excellence awards in recognition of his academic achievements. He was honored with the Research Publication Award (2022) at the University of Management and Technology, Pakistan, for his outstanding contributions to applied mathematics research. His academic journey has been supported by fully funded merit-based scholarships, including the Punjab Education Endowment Fund Scholarship (PEEF) during his bachelor’s studies and a fully funded master’s scholarship for his postgraduate studies. Additionally, he was awarded a Prime Minister’s Laptop under the Government of Pakistan’s Higher Education Initiative, recognizing his academic excellence. Beyond research, he has demonstrated leadership and management skills, serving as a class representative throughout his bachelor’s studies and actively participating in academic societies and awards. His awards reflect his dedication to mathematical research, academic excellence, and contributions to the global scientific community.

Conclusion

Saif Ur Rehman is an emerging researcher in Computational Fluid Dynamics, Numerical Analysis, and Partial Differential Equations, with a strong academic background and international research exposure. His work in nanofluid dynamics, MHD flows, and heat transfer has resulted in high-impact publications and significant contributions to applied mathematics. His expertise in Python, MATLAB, and numerical modeling techniques has strengthened his research capabilities. Having worked at renowned institutions in Italy and Pakistan, he has gained experience in both theoretical and applied research, positioning himself as a promising scholar in mathematical modeling and computational sciences. His awards, scholarships, and research achievements demonstrate his dedication to scientific innovation. Moving forward, he aims to further his research in numerical simulations, machine learning applications in CFD, and advanced mathematical modeling, contributing to both academic advancements and real-world engineering applications.

Publications Top Noted

  • Title: Insight into significance of bioconvection on MHD tangent hyperbolic nanofluid flow of irregular thickness across a slender elastic surface

    • Authors: MZ Ashraf, SU Rehman, S Farid, AK Hussein, B Ali, NA Shah, W Weera
    • Year: 2022
    • Citations: 92
    • Source: Mathematics, 10(15), 2592

  • Title: Numerical computation of buoyancy and radiation effects on MHD micropolar nanofluid flow over a stretching/shrinking sheet with heat source

    • Authors: SU Rehman, A Mariam, A Ullah, MI Asjad, MY Bajuri, BA Pansera, et al.
    • Year: 2021
    • Citations: 86
    • Source: Case Studies in Thermal Engineering, 25, 100867

  • Title: Micropolar dusty fluid: Coriolis force effects on dynamics of MHD rotating fluid when Lorentz force is significant

    • Authors: Q Lou, B Ali, SU Rehman, D Habib, S Abdal, NA Shah, JD Chung
    • Year: 2022
    • Citations: 84
    • Source: Mathematics, 10(15), 2630

  • Title: The Casson dusty nanofluid: Significance of Darcy–Forchheimer law, magnetic field, and non-Fourier heat flux model subject to stretch surface

    • Authors: SU Rehman, N Fatima, B Ali, M Imran, L Ali, NA Shah, JD Chung
    • Year: 2022
    • Citations: 72
    • Source: Mathematics, 10(16), 2877

  • Title: MHD Williamson nanofluid flow over a slender elastic sheet of irregular thickness in the presence of bioconvection

    • Authors: F Wang, MI Asjad, SU Rehman, B Ali, S Hussain, TN Gia, T Muhammad
    • Year: 2021
    • Citations: 63
    • Source: Nanomaterials, 11(9), 2297

  • Title: Significance of dust particles, nanoparticles radius, Coriolis and Lorentz forces: The case of Maxwell dusty fluid

    • Authors: Y Wei, SU Rehman, N Fatima, B Ali, L Ali, JD Chung, NA Shah
    • Year: 2022
    • Citations: 36
    • Source: Nanomaterials, 12(9), 1512

  • Title: Computational analysis for bioconvection of microorganisms in Prandtl nanofluid Darcy–Forchheimer flow across an inclined sheet

    • Authors: J Wang, Z Mustafa, I Siddique, M Ajmal, MMM Jaradat, SU Rehman, B Ali, et al.
    • Year: 2022
    • Citations: 23
    • Source: Nanomaterials, 12(11), 1791

  • Title: First solution of fractional bioconvection with power law kernel for a vertical surface

    • Authors: MI Asjad, S Ur Rehman, A Ahmadian, S Salahshour, M Salimi
    • Year: 2021
    • Citations: 18
    • Source: Mathematics, 9(12), 1366

  • Title: Dynamics of Eyring–Powell nanofluids when bioconvection and Lorentz forces are significant: The case of a slender elastic sheet of variable thickness with porous medium

    • Authors: A Manan, SU Rehman, N Fatima, M Imran, B Ali, NA Shah, JD Chung
    • Year: 2022
    • Citations: 13
    • Source: Mathematics, 10(17), 3039

  • Title: Hydrodynamical study of couple stress fluid flow in a linearly permeable rectangular channel subject to Darcy porous medium and no-slip boundary conditions

    • Authors: M Ishaq, SU Rehman, MB Riaz, M Zahid
    • Year: 2024
    • Citations: 10
    • Source: Alexandria Engineering Journal, 91, 50-69

 

liang cao | Interdisciplinary Mathematics | Best Researcher Award

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Dr. liang cao | Interdisciplinary Mathematics | Best Researcher Award

lecturer at Hunan Institute of Engineering, China 

Dr. Liang Cao, a faculty member at the Hunan Institute of Engineering, specializes in reliability analysis, wind energy technology, and advanced manufacturing. With a strong academic foundation from Xiangtan University, he has led funded research projects, including one supported by the Natural Science Foundation of Hunan Province. His contributions to structural reliability analysis include developing machine learning-based surrogate models for evaluating low failure probabilities, advancing computational efficiency in engineering. He has published in high-impact journals such as Smart Materials and Structures and Probabilistic Engineering Mechanics and holds multiple patents in mechanical engineering. A member of the Society of Mechanical Engineering, Dr. Cao’s research significantly impacts reliability-based design optimization, particularly in wind turbine gearboxes and robotic mechanisms. While his academic influence is growing, enhancing citation impact, industry collaborations, and editorial leadership could further strengthen his profile. His work continues to shape advancements in probabilistic mechanics and reliability engineering.

Professional Profile 

Scopus Profile
ORCID Profile

Education 

Dr. Liang Cao obtained his academic training from Xiangtan University, where he specialized in mechanical engineering. His education provided a strong foundation in reliability analysis, wind energy technology, and advanced manufacturing. During his academic journey, he gained expertise in probabilistic mechanics, structural safety, and optimization techniques, which later became the focus of his research. His studies emphasized the integration of computational modeling and experimental methods, equipping him with the skills necessary for advancing engineering reliability. Through coursework and research projects, he developed a deep understanding of mechanical system optimization, particularly in developing surrogate models for evaluating failure probabilities. His education laid the groundwork for his career in academia, where he continues to apply theoretical and computational approaches to improve structural and mechanical reliability. With a commitment to academic excellence, Dr. Cao remains engaged in continuous learning and professional development to further enhance his contributions to the field.

Professional Experience 

Dr. Liang Cao serves as a faculty member at the Hunan Institute of Engineering, where he contributes to teaching and research in mechanical engineering. His expertise in reliability analysis and design optimization has enabled him to guide students and researchers in developing innovative solutions for mechanical system reliability. Over the years, he has successfully led projects funded by the Natural Science Foundation of Hunan Province, further solidifying his reputation as an expert in the field. His work integrates computational modeling, machine learning, and structural safety to improve the performance of mechanical systems, particularly in wind turbine gearboxes and robotic mechanisms. Beyond research, he is actively involved in mentoring students and collaborating with peers to advance mechanical engineering methodologies. While he has made significant strides in academia, expanding his industry collaborations and assuming editorial or leadership roles would further strengthen his professional influence and contributions to the field.

Research Interest

Dr. Liang Cao’s research focuses on reliability analysis, probabilistic mechanics, and structural optimization in mechanical engineering. His work integrates machine learning techniques with reliability-based design optimization to improve the efficiency and accuracy of failure predictions. A key aspect of his research is the development of surrogate models, such as Radial Basis Function Neural Networks (RBFNN), for evaluating low failure probabilities with enhanced computational efficiency. His studies have direct applications in wind turbine gearboxes, robotic mechanisms, and piezoelectric dispensing systems, contributing to safer and more robust mechanical designs. Additionally, he explores multi-source uncertainty modeling to enhance structural reliability under variable conditions. His research is published in high-impact journals such as Smart Materials and Structures and Probabilistic Engineering Mechanics. Moving forward, expanding interdisciplinary collaborations and securing larger research grants could amplify the impact of his work on global mechanical engineering challenges.

Awards and Honors 

Dr. Liang Cao has received recognition for his contributions to mechanical engineering, particularly in reliability analysis and probabilistic mechanics. His research achievements have been supported by the Natural Science Foundation of Hunan Province, which funded his work on sliding bearing lubrication reliability in fan gearboxes. Additionally, his multiple patents reflect his innovative contributions to structural safety and optimization in mechanical systems. While he has gained credibility through journal publications in esteemed outlets such as Probabilistic Engineering Mechanics and Smart Materials and Structures, broader recognition through industry awards and professional society honors could further elevate his profile. Active participation in international research collaborations and engineering awards may increase his chances of securing prestigious research awards. By continuing to contribute to mechanical engineering advancements, Dr. Cao has the potential to earn more accolades, further solidifying his standing as a leading researcher in reliability engineering and mechanical system optimization.

Conclusion 

Dr. Liang Cao is an accomplished researcher in mechanical engineering, specializing in reliability analysis, probabilistic mechanics, and structural optimization. With a strong educational foundation from Xiangtan University and professional experience at the Hunan Institute of Engineering, he has made significant contributions to enhancing mechanical system safety and efficiency. His research, funded by the Natural Science Foundation of Hunan Province, has led to innovative developments in surrogate modeling and uncertainty analysis. He has published extensively in high-impact journals and holds multiple patents, reflecting his commitment to advancing engineering methodologies. While his academic impact is commendable, expanding his industry collaborations, citation influence, and leadership roles in research communities could further enhance his professional standing. With a growing reputation in reliability engineering, Dr. Cao is poised to make even greater contributions to mechanical system design and optimization, positioning himself as a leading figure in applied engineering research.

Publications Top Noted

  • Title: Optimizing Dispensing Performance of Needle-Type Piezoelectric Jet Dispensers: A Novel Drive Waveform Approach
    Authors: Liang Cao, S.G. Gong, Y.R. Tao, S.Y. Duan
    Year: 2024
    Source: Smart Materials and Structures

  • Title: Theoretical Study and Physical Tests on the Influence of Process Parameters of Needle on Dispensing Quality
    Authors: Liang Cao, S.G. Gong, S.Y. Duan, Y.R. Tao
    Year: 2023
    Source: Optik

  • Title: A RBFNN Based Active Learning Surrogate Model for Evaluating Low Failure Probability in Reliability Analysis
    Authors: Liang Cao, S.G. Gong, Y.R. Tao, S.Y. Duan
    Year: 2023
    Source: Probabilistic Engineering Mechanics

  • Title: Optimisation Design for Wind Turbine Mainshaft Bearing Based on Lubrication Reliability
    Authors: Liang Cao
    Year: 2020
    Source: International Journal of Reliability and Safety

  • Title: A Novel Evidence-Based Fuzzy Reliability Analysis Method for Structures
    Authors: Liang Cao
    Year: 2017
    Source: Structural and Multidisciplinary Optimization

  • Title: Safety Analysis of Structures with Probability and Evidence Theory
    Authors: Liang Cao
    Year: 2016
    Source: International Journal of Steel Structures

 

Navneet Kumar Lamba | Applied Mathematics | Best Researcher Award | 2055

Posted on by Math Scientist

Assist. Prof. Dr. Navneet Kumar Lamba | Applied Mathematics | Best Researcher Award

 Assistant Professor at Shri Lemdeo Patil Mahavidyalaya, Mandhal India

Dr. Navneet Kumar Lamba is an accomplished mathematician and researcher, currently serving as an Assistant Professor in the Department of Mathematics at Shri Lemdeo Patil Mahavidyalaya, Mandhal. With over 13 years of teaching and research experience, he specializes in Operations Research, Mathematical Modeling, Optimization Problems, and Solid Mechanics. He has published 60 research papers in peer-reviewed, Scopus, and Web of Science journals, authored 9 books, and contributed 3 book chapters. His research on infectious disease modeling, particularly COVID-19, has been widely recognized. He has received prestigious accolades, including the Research Excellence Award-2021 (UK) and multiple Best Paper Awards. Dr. Lamba has successfully supervised Ph.D. scholars and plays a key role in various academic committees. An active member of multiple professional bodies, he has also organized national awards. His commitment to research and academia makes him a distinguished scholar in the field of Computational Mathematics.

Professional Profile 

Scopus Profile
ORCID Profile 

Education

Dr. Navneet Kumar Lamba holds a Ph.D. in Mathematics from R.T.M. Nagpur University, awarded in 2013, demonstrating his expertise in advanced mathematical research. He earned his Master of Science (M.Sc.) in Mathematics from the same university in 2007, securing the 3rd Merit position at the university level with an impressive 67.7%. His Bachelor of Science (B.Sc.) degree, with a focus on Physics, Chemistry, and Mathematics, was completed at D.A.V. College, Jalandhar, under Guru Nanak Dev University, Amritsar, in 2005 with 63.5% (First Division). His early education includes Higher Secondary (XII) from St. Thomas School, Jalandhar (CBSE, New Delhi), where he scored 60.5%, and Secondary Education (X) from Bright Buds School, Jaipur (Rajasthan Board) with 59.33%. His strong academic foundation, coupled with continuous research and teaching excellence, has contributed significantly to his standing as a distinguished mathematician and educator.

Professional Experience

Dr. Navneet Kumar Lamba is a distinguished academician and researcher with over 13 years and 2 months of experience in teaching and research. Currently serving as an Assistant Professor and Head of the Department of Mathematics at Shri Lemdeo Patil Mahavidyalaya, Mandhal, he has made significant contributions to the fields of Operations Research, Mathematical Modeling, and Solid Mechanics. His professional journey includes teaching positions at Dronacharya College of Engineering, Gurugram, Priyadarshini Institute of Engineering & Technology, Nagpur, and Nagarjuna Institute of Engineering, Technology, and Management, Nagpur. He has guided Ph.D. scholars, authored 9 books and 60+ research papers, and actively participates in academic leadership roles such as IQAC Cell, Research & Development Cell, and Teacher Guardian Scheme. His work has earned him multiple accolades, including the Research Excellence Award-2021 and Best Paper Awards (2021, 2023), solidifying his reputation as a leading researcher in applied mathematics.

Research Interest

Dr. Navneet Kumar Lamba’s research interests span a broad spectrum of fundamental and applied mathematics, focusing primarily on Operations Research, Mathematical Modeling, Optimization Problems, and Solid Mechanics. His work in linear programming and algorithmic methodologies has contributed to developing efficient problem-solving techniques. He has also made significant strides in boundary value problems, applied modeling of infectious diseases, and thermal stress analysis in solid mechanics, particularly in studying memory-dependent thermoelastic responses. His recent research delves into the fractional-order heat conduction models, hygrothermal effects in materials, and thermosensitive structures. Additionally, Dr. Lamba has explored the mathematical modeling of COVID-19 transmission dynamics, providing valuable insights into epidemiological trends. With over 60 research publications in Scopus, Web of Science, and UGC Care-listed journals, his work continues to impact both theoretical and applied aspects of mathematics. His research aims to bridge gaps between mathematical theory and real-world applications, fostering innovation and problem-solving in diverse domains.

Award and Honor

Dr. Navneet Kumar Lamba has been recognized for his outstanding contributions to research and academia with several prestigious awards and honors. He received the Research Excellence Award-2021 from the National Health Service England (UK) and Chintamani Mahavidyalaya, acknowledging his significant research in mathematics and its applications. His exceptional scholarly work has also earned him Best Paper Awards in 2021 and 2023 at the International Conference on Advancement in Science, Technology, and Management. With a distinguished academic career spanning over 13 years, Dr. Lamba has authored 60 research papers in reputed peer-reviewed journals, 9 books, and 3 book chapters, further cementing his position as a leading researcher in mathematics. Additionally, he has guided Ph.D. scholars, actively participated in national and international awards, and contributed to institutional development through key academic committees. His dedication to mathematical research, teaching, and mentorship has earned him widespread recognition in the academic community.

Conclusion

Dr. Navneet Kumar Lamba is a distinguished academician and researcher with over 13 years of experience in mathematics, specializing in operations research, mathematical modeling, and optimization problems. His impressive portfolio includes 60 peer-reviewed research papers, 9 authored books, and multiple accolades such as the Research Excellence Award-2021 and Best Paper Awards in 2021 and 2023. As an Assistant Professor and Head of Department, he has contributed significantly to academia through research supervision, professional memberships, and leadership roles in various academic committees. His work on infectious disease modeling, particularly COVID-19, highlights his commitment to applied research. While his contributions are exemplary, further enhancements in citation impact, global collaborations, and research grants would strengthen his research influence. Overall, Dr. Lamba’s dedication to research, teaching, and academic leadership makes him a strong contender for the Best Researcher Award, recognizing his invaluable contributions to mathematics and scientific advancements.

Publications Top Noted

  • A Sustainable Inventory Model with Advertisement Effort for Imperfect Quality Items under Learning in Fuzzy Monsoon Demand
    • Authors: Alamri, O.A.; Lamba, N.K.; Jayaswal, M.K.; Mittal, M.
    • Year: 2024
  • Memory Dependent Response in an Infinitely Long Thermoelastic Solid Circular Cylinder
    • Authors: Lamba, N.K.; Deshmukh, K.C.
    • Year: 2024
  • Quasi-static Thermal Response of a Circular Plate due to the Influence of Memory-dependent Derivatives
    • Authors: Lamba, N.K.
    • Year: 2024
  • Thermal Characteristics of a Multilayered Annular Disk with Thermosensitive Features using a Fractional-order Heat Conduction Model
    • Authors: Lamba, N.K.; Manthena, V.R.; Bhad, P.P.; Srinivas, V.B.; Abouelregal, A.E.
    • Year: 2024
  • Thermal Stresses Associated with a Thermosensitive Multilayered Disc Analysed Due to Point Heating
    • Authors: Srinivas, V.B.; Manthena, V.R.; Warbhe, S.D.; Kedar, G.D.; Lamba, N.K.
    • Year: 2024
  • Memory-based Thermoelastic Modelling of an Annular Disc under Heating and Cooling Processes
    • Authors: Lamba, N.K.; Varhadpande, I.; Murty, V.R.K.
    • Year: 2024
  • Impact of Memory-dependent Response of a Thermoelastic Thick Solid Cylinder
    • Authors: Lamba, N.K.
    • Year: 2023
  • Hygrothermoelastic Response of a Finite Hollow Circular Cylinder
    • Authors: Lamba, N.K.; Deshmukh, K.C.
    • Year: 2022
  • Memory Impact of Hygrothermal Effect in a Hollow Cylinder by Theory of Uncoupled-Coupled Heat and Moisture
    • Authors: Verma, J.; Lamba, N.K.; Deshmukh, K.C.
    • Year: 2022
  • Thermosensitive Response of a Functionally Graded Cylinder with Fractional Order Derivative
    • Authors: Lamba, N.K.
    • Year: 2022
  • A Comparative Study of COVID-19 Pandemic in Rajasthan, India
    • Authors: Jayaswal, M.K.; Lamba, N.K.; Yadav, R.; Mittal, M.
    • Year: 2021
  • Impact of COVID-19: A Mathematical Model
    • Authors: Warbhe, S.D.; Lamba, N.K.; Deshmukh, K.C.
    • Year: 2021
  • Mathematical Modelling of COVID-19 in Pregnant Women and Newly Borns
    • Authors: Lamba, N.K.; Warbhe, S.D.; Deshmukh, K.C.
    • Year: 2021
  • Hygrothermoelastic Response of a Finite Solid Circular Cylinder
    • Authors: Lamba, N.K.; Deshmukh, K.C.
    • Year: 2020
  • Thermal Behavior of a Finite Hollow Cylinder in Context of Fractional Thermoelasticity with Convection Boundary Conditions
    • Authors: Kumar, N.; Kamdi, D.B.
    • Year: 2020