Hany Ahmed | Numerical Analysis | Best Researcher Award

Posted on 15/04/202515/04/2025 by Math Scientist

Prof. Hany Ahmed | Numerical Analysis | Best Researcher Award

Professor at Faculty of Technology and Education, Helwan University, Egypt

Professor Hany Mostafa Ahmed is a distinguished scholar 🧠 and visionary researcher 🔬 known for his groundbreaking contributions across mathematics and interdisciplinary sciences 🌐. With a remarkable academic journey marked by excellence, innovation, and leadership 🏆, he has significantly advanced the frontiers of applied mathematics, engineering, and computational modeling 💡. His prolific research output, impactful publications 📚, and global collaborations reflect a relentless passion for solving real-world challenges using mathematical insights 🔎. As a dedicated educator 👨‍🏫 and mentor, Professor Ahmed inspires countless students and researchers to push boundaries and think creatively 🚀. His work continues to resonate across academic and industrial spheres, earning him widespread recognition and admiration 🌟. With a deep commitment to innovation, integrity, and scientific progress 🔝, he stands as a beacon of excellence in the international research community 🌍. Professor Ahmed’s legacy is one of brilliance, inspiration, and transformative impact ✨.

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📘 Education

Professor Hany Mostafa Ahmed’s academic voyage is a tale of brilliance and perseverance 🌟. He laid his foundational stones in mathematics with distinction 🎓, advancing through rigorous academic institutions that nurtured his analytical spirit and sharpened his problem-solving acumen 🧠. With an unwavering thirst for knowledge, he pursued postgraduate studies with a keen focus on applied mathematics and interdisciplinary science 🔍. Every step of his journey was marked by academic excellence, earning him recognition as a top-performing scholar 🏅. His educational background forms a rich mosaic of theoretical depth and real-world application 📐, enabling him to seamlessly navigate the frontiers of mathematics and engineering. From foundational concepts to complex modeling, his studies have empowered him to make significant strides in research and academia 📊. Professor Ahmed’s educational roots have blossomed into a flourishing tree of knowledge, deeply grounded yet reaching boldly toward the future 🌳🚀.

💼 Professional Experience

Professor Ahmed’s professional path is paved with excellence, innovation, and impact 💼⚙️. With a career spanning esteemed universities and research institutions 🏛️, he has held pivotal roles as a professor, research leader, and mentor 👨‍🏫. His portfolio includes spearheading research projects that bridge theory with transformative real-world applications 🌍🔧. A dynamic contributor to both academia and industry, he has served in advisory and leadership roles, bringing visionary strategies to scientific and technological challenges 🎯. His professional experience reflects not just longevity, but depth—shaped by collaborations across continents and disciplines 🌐. Whether mentoring young scholars or leading cutting-edge initiatives, Professor Ahmed demonstrates an unwavering commitment to excellence and progress 🚀. His presence in conferences, editorial boards, and international panels speaks volumes of his standing in the global academic community 🌟. With every milestone, he leaves behind a legacy of wisdom, curiosity, and forward-thinking innovation 🧭📈.

🔬 Research Interest

Professor Ahmed’s research interests are as vibrant and expansive as a mathematical universe in motion 🌌📊. His intellectual curiosity drives him into the depths of applied mathematics, mathematical modeling, and computational methods 🔢🧮. Passionate about solving complex real-world problems, he integrates disciplines like physics, engineering, and information theory to craft holistic, data-driven solutions 🔄🔍. His innovative mindset has led to pioneering research in nonlinear systems, optimization, and numerical simulation, revealing the hidden structures that govern dynamic systems 🎯🔬. From theoretical frameworks to computational algorithms, his work breathes life into abstract equations and transforms them into practical tools for science and society 🛠️🌍. With a future-forward approach, Professor Ahmed explores intersections between AI, mathematics, and engineering to foster impactful discoveries 🤖📘. His research philosophy combines precision, creativity, and utility—making mathematics not just a subject, but a powerful language of innovation and progress 🧠✨.

🏅 Award and Honor

A trailblazer in his field, Professor Hany Mostafa Ahmed has been decorated with numerous prestigious awards and honors 🏆🎓. These accolades reflect his profound influence on the global research landscape and his unwavering commitment to academic excellence 🌟. Recognized by leading scientific bodies and institutions, his achievements celebrate groundbreaking discoveries, visionary leadership, and unparalleled scholarly contributions 📜🏅. Whether through best-paper recognitions, excellence-in-teaching awards, or international fellowships, his accolades speak volumes of a career that has consistently pushed the boundaries of knowledge 🚀📚. Each award he receives is a testament to the passion and dedication he pours into his research, mentorship, and community engagement 🌍👏. His decorated journey inspires both peers and emerging scholars to strive for greatness, making him not only a recipient of honors but a beacon of excellence in the mathematical sciences 🧭✨. These recognitions form the crown jewels of a legacy still in the making 👑🔝.

Conclusion

Professor Hany Mostafa Ahmed stands tall as a luminary in mathematics and beyond 🌟📐. With an impressive blend of intellect, innovation, and integrity, he continues to illuminate pathways for discovery and impact 🚀📚. His journey from a passionate learner to a globally respected thought leader is a testament to relentless dedication and a visionary mindset 🧠🔥. Whether in the classroom, the lab, or the pages of scholarly journals, his presence leaves a lasting imprint on the minds he mentors and the fields he transforms 🌍💫. A pioneer at heart, Professor Ahmed thrives at the intersections of theory and application, tradition and transformation 🔄🔬. His legacy is not just measured in accolades, but in the countless minds he inspires and the solutions he crafts for a better world 🌱🔧. With every endeavor, he proves that mathematics, when driven by purpose and passion, becomes a force of limitless potential 💡🧮.

Publications Top Notes

📘 Recent & Noteworthy Publications of Prof. Hany Mostafa Ahmed

🔬 Efficient Spectral Galerkin and Collocation Approaches Using Telephone Polynomials for Solving Some Models of Differential Equations with Convergence Analysis
👨‍🔬 Authors: R.M. Hafez, H.M. Ahmed, O.M. Alqubori, A.K. Amin, W.M. Abd-Elhameed
🗓️ Year: 2025 | 🏛️ Journal: Mathematics (Open Access)
🚀 Highlight: Introduces hybrid spectral techniques with Telephone polynomials—mathematical speed meets precision!

⚙️ New Generalized Jacobi–Galerkin Operational Matrices of Derivatives: An Algorithm for Solving the Time-Fractional Coupled KdV Equations
👨‍🔬 Author: H.M. Ahmed
🗓️ Year: 2024 | 🏛️ Journal: Boundary Value Problems
🔧 Highlight: A solo-authored gem bringing power to fractional calculus using Jacobi polynomial tools!

🧩 Spectral Solutions of Specific Singular Differential Equations Using A Unified Spectral Galerkin-Collocation Algorithm
👨‍🔬 Authors: H.M. Ahmed, W.M. Abd-Elhameed
🗓️ Year: 2024 | 🏛️ Journal: Journal of Nonlinear Mathematical Physics
📈 Citations: 8
⚡ Highlight: Tackles singular equations with a robust algorithm fusion—accuracy meets elegance!

📐 Tau and Galerkin Operational Matrices for Singular and Emden–Fowler Third-Order-Type Equations
👨‍🔬 Author: W.M. Abd-Elhameed, H.M. Ahmed
🗓️ Year: 2022 | 🏛️ Journal: Int. J. of Modern Physics C
📈 Citations: 41
🔭 Highlight: A solid framework blending operational matrices and singular modeling.

🧮 Recurrences and Explicit Formulae in Series of Bessel Polynomials
👨‍🔬 Authors: E.H. Doha, H.M. Ahmed
🗓️ Year: 2004 | 🏛️ Journal: Journal of Physics A: Math & General
📈 Citations: 34
🧠 Highlight: A foundational work in spectral expansion methods still referenced decades later!

🌪️ New Fractional Derivative Expression of Shifted Third-Kind Chebyshev Polynomials
👨‍🔬 Authors: Y.H. Youssri, W.M. Abd-Elhameed, H.M. Ahmed
🗓️ Year: 2022 | 🏛️ Journal: Journal of Function Spaces
📈 Citations: 30
⚙️ Highlight: Innovative fractional application to pantograph equations—where memory meets mathematics.

🌀 Computational Strategy for Nonlinear Time-Fractional Generalized Kawahara Equation
👨‍🔬 Authors: H.M. Ahmed, R.M. Hafez, W.M. Abd-Elhameed
🗓️ Year: 2024 | 🏛️ Journal: Physica Scripta
📈 Citations: 23
🎯 Highlight: A dynamic spectral method for high-order nonlinear systems.

📊 Linearization Formulae for Certain Jacobi Polynomials
👨‍🔬 Authors: W.M. Abd-Elhameed, E.H. Doha, H.M. Ahmed
🗓️ Year: 2016 | 🏛️ Journal: The Ramanujan Journal
📈 Citations: 23
🌀 Highlight: Unlocks Jacobi polynomials for modern applications in spectral methods.

🔎 Explicit Formulae for Integrated Expansions of Laguerre & Hermite Polynomials
👨‍🔬 Authors: E.H. Doha, H.M. Ahmed, S.I. El-Soubhy
🗓️ Year: 2009 | 🏛️ Journal: Integral Transforms and Special Functions
📈 Citations: 23
🧮 Highlight: A key resource for integral polynomial expansions.

🧱 Coefficients of Differentiated Expansions for Double & Triple Jacobi Polynomials
👨‍🔬 Authors: E. Doha, W.M. Abd-Elhameed, H. Ahmed
🗓️ Year: 2012 | 🏛️ Journal: Bulletin of the Iranian Mathematical Society
📈 Citations: 22
⚙️ Highlight: A multi-level polynomial solution structure for complex systems.

🔭 Numerical Solutions for Singular Lane-Emden Equations Using Shifted Chebyshev Polynomials
👨‍🔬 Author: H.M. Ahmed
🗓️ Year: 2023 | 🏛️ Journal: Contemporary Mathematics
📈 Citations: 21
🔥 Highlight: Elegant solution strategies for astrophysical differential models.

📈 New Generalized Jacobi-Galerkin Operational Matrices for Multi-Term Variable-Order Time-Fractional Diffusion-Wave Equations
👨‍🔬 Author: H.M. Ahmed
🗓️ Year: 2024 | 🏛️ Journal: Fractal and Fractional
📈 Citations: 13
🌊 Highlight: Wave equations meet variable-order fractional operators—analytical beauty!

🎯 Enhanced Shifted Jacobi Operational Matrices for Fractional Differential Equations
👨‍🔬 Author: H.M. Ahmed
🗓️ Year: 2024 | 🏛️ Journal: Boundary Value Problems
📈 Citations: 8
🧠 Highlight: Powerful integral tools for both classical and fractional ODEs.

💫 New Shifted Generalized Chebyshev Approach for Multi-Dimensional Sinh-Gordon Equation
👨‍🔬 Authors: W.M. Abd-Elhameed, H.M. Ahmed, M.A. Zaky, R.M. Hafez
🗓️ Year: 2024 | 🏛️ Journal: Physica Scripta
📈 Citations: 8
🌐 Highlight: Tackles nonlinear multidimensional PDEs with a modern Chebyshev twist.

Shijie Zhao | Applied Mathematics | Best Researcher Award

Posted on 09/04/202509/04/2025 by Math Scientist

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

Associate Professor at Liaoning Technical University, China

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

Professional Profile

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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

Alexander Bratus | Applied Mathematics | Best Researcher Award

Posted on 03/04/202503/04/2025 by Math Scientist

Prof. Dr. Alexander Bratus | Applied Mathematics | Best Researcher Award

Department of digital control of transport at Russia University of Transport, Russia.

Prof. Dr. Alexander Bratus is a distinguished researcher in mathematical biology, dynamical systems, and control theory, with significant contributions to replicator dynamics, evolutionary adaptation, and immune system modeling. His extensive research, spanning biological systems, cancer therapy, and ecological modeling, is reflected in numerous high-impact publications in journals like Mathematical Biosciences, Journal of Mathematical Biology, and Physica A. He has co-authored influential books, including Dynamical Systems and Biological Models and Mathematical Models Evolution and Dynamics of Replicator Systems. His interdisciplinary approach integrates mathematics, biology, and medicine, making his work highly relevant to applied sciences. Collaborating with leading experts worldwide, he has advanced the understanding of complex biological and medical systems. With his dedication to research excellence, impactful publications, and interdisciplinary innovations, Prof. Bratus is a strong contender for the Best Researcher Award, contributing significantly to both theoretical and applied mathematical sciences.

Professional Profile

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Education

Prof. Dr. Alexander Bratus earned his advanced degrees in mathematics and applied sciences from prestigious institutions in Russia. He pursued his Ph.D. in Mathematical Modeling and Dynamical Systems, focusing on the application of differential equations and optimization techniques in biological and ecological systems. His doctoral research laid the foundation for his extensive work in evolutionary dynamics, control systems, and mathematical biology. He continued his academic journey with a postdoctoral fellowship, where he expanded his expertise in replicator systems, optimization theory, and stochastic processes. His strong mathematical foundation, coupled with interdisciplinary exposure, has enabled him to develop groundbreaking research in biological evolution, immune system modeling, and cancer therapy optimization. Over the years, he has mentored numerous graduate students and young researchers, contributing to the next generation of mathematical scientists. His educational background has been instrumental in shaping his research career, positioning him as a leader in applied mathematics and computational biology.

Professional Experience

Prof. Dr. Alexander Bratus is a professor and researcher in the Department of Digital Control of Transport at Russia University of Transport. With decades of experience in academia and research, he has played a pivotal role in mathematical modeling, applied dynamical systems, and control theory. He has led multiple research projects, collaborating with leading international scientists to develop mathematical models in biomedicine, ecology, and evolutionary game theory. His professional journey includes serving as a principal investigator in multidisciplinary projects, editorial board memberships in renowned scientific journals, and keynote speaker invitations at global conferences. His expertise extends beyond theoretical research, as he has actively contributed to industrial and healthcare applications through mathematical optimization and system control. His leadership in scientific communities has fostered advancements in mathematical biology and computational methods, establishing him as an influential figure in applied mathematics, mathematical physics, and bioinformatics.

Research Interest

Prof. Dr. Alexander Bratus’s research interests lie in mathematical modeling, dynamical systems, and evolutionary biology, with a strong focus on biological and ecological applications. His work explores the mathematical structures underlying biological evolution, immune system interactions, and cancer therapy strategies. He is particularly interested in replicator dynamics, game-theoretic models, and optimal control methods for biomedical systems. His studies on feedback control in leukemia therapy, antigen-driven immune responses, and tumor growth dynamics have led to innovative approaches in personalized medicine and disease treatment. His interdisciplinary research extends to transport system dynamics, economic growth modeling, and nonlinear distributed systems, reflecting his broad scientific expertise. Through computational simulations and analytical frameworks, he continues to bridge mathematics with real-world applications, making significant contributions to healthcare, ecology, and optimization problems. His diverse research portfolio highlights his commitment to advancing theoretical and applied mathematics in modern science.

Awards and Honors

Throughout his career, Prof. Dr. Alexander Bratus has received numerous awards and recognitions for his outstanding contributions to mathematical modeling and applied sciences. His work in evolutionary dynamics, control theory, and computational biology has been recognized with prestigious research grants, international fellowships, and best paper awards. He has been honored by leading mathematical societies and scientific organizations, acknowledging his innovative contributions to interdisciplinary mathematics. He has also been a recipient of excellence in teaching and mentoring awards, reflecting his dedication to academic leadership and student mentorship. His involvement in editorial boards of top-tier scientific journals, invited lectures at major conferences, and advisory roles in research institutions further solidifies his status as a renowned mathematical scientist. His impactful research and international collaborations continue to shape the future of mathematical and computational sciences, earning him global recognition.

Conclusion

Prof. Dr. Alexander Bratus is a highly accomplished mathematician and researcher, whose work has significantly influenced mathematical biology, control systems, and evolutionary game theory. His extensive contributions to replicator dynamics, immune system modeling, and cancer therapy optimization highlight his interdisciplinary approach and scientific leadership. With a strong academic background, remarkable professional experience, and an impressive list of publications, he has established himself as a pioneer in applied mathematics. His dedication to advancing mathematical sciences, mentoring young researchers, and fostering international collaborations makes him an ideal candidate for the Best Researcher Award. His groundbreaking research continues to bridge the gap between theoretical mathematics and real-world applications, impacting biomedicine, ecology, and engineering. As a globally recognized scientist, he remains committed to solving complex problems through mathematical innovation, leaving a lasting impact on the scientific community.

Publications Top Noted

Title: Dynamic Programming-Based Approach to Model Antigen-Driven Immune Repertoire Synthesis
- Authors: A.S. Bratus’, G.A. Bocharov, D. Grebennikov
- Year: 2024
- Citations: 0
- Source: Mathematics
Title: Food Webs and the Principle of Evolutionary Adaptation
- Authors: A.S. Bratus’, S. Drozhzhin, A.V. Korushkina, A.S. Novozhilov
- Year: 2024
- Citations: 0
- Source: Physica A: Statistical Mechanics and its Applications
Title: On a Hypercycle Equation with Infinitely Many Members
- Authors: A.S. Bratus’, O.S. Chmereva, I.Y. Yegorov, A.S. Novozhilov
- Year: 2023
- Citations: 0
- Source: Journal of Mathematical Analysis and Applications
Title: Existence of Closed Trajectories in Lotka-Volterra Systems in Rⁿ
- Authors: A.S. Bratus’, V.V. Tikhomirov, R. Isaev
- Year: Unknown
- Citations: 0
- Source: Book Chapter (No source information available)
Title: Mathematical Model of Pancreatic Cancer Cell Dynamics Considering the Set of Sequential Mutations and Interaction with the Immune System
- Authors: A.S. Bratus’, N.R. Leslie, M. Chamo, G.A. Bocharov, D. Yurchenko
- Year: 2022
- Citations: 0
- Source: Mathematics
Title: Mathematical Model of the Infection Spread in Transport Based on the Theory of Porous Medium
- Authors: A. Ocheretyanaya, A.S. Bratus’
- Year: 2022
- Citations: 0
- Source: Advances in Systems Science and Applications
Title: Open Quasispecies Systems: New Approach to Evolutionary Adaptation
- Authors: I. Samokhin, T.S. Yakushkina, A.S. Bratus’
- Year: 2022
- Citations: 1
- Source: Chinese Journal of Physics
Title: Fitness Optimization and Evolution of Permanent Replicator Systems
- Authors: S. Drozhzhin, T.S. Yakushkina, A.S. Bratus’
- Year: 2021
- Citations: 2
- Source: Journal of Mathematical Biology
Title: Dynamical Systems and Models in Biology
- Authors: A.S. Bratus’, A.S. Novozhilov, A.P. Platonov
- Year: 2010
- Citations: 140
- Source: Fizmatlit (in Russian)
Title: Optimal Bounded Control of Steady-State Random Vibrations
- Authors: M.F. Dimentberg, D.V. Iourtchenko
- Year: 2000
- Citations: 64
- Source: Probabilistic Engineering Mechanics
Title: Bounded Parametric Control of Random Vibrations
- Authors: M.F. Dimentberg, A.S. Bratus’
- Year: 2000
- Citations: 54
- Source: Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences
Title: Bimodal Solutions in Eigenvalue Optimization Problems
- Authors: A.S. Bratus’, A.P. Seiranian
- Year: 1983
- Citations: 49
- Source: Journal of Applied Mathematics and Mechanics
Title: Hybrid Solution Method for Dynamic Programming Equations for MDOF Stochastic Systems
- Authors: A. Bratus, M. Dimentberg, D. Iourtchenko, M. Noori
- Year: 2000
- Citations: 44
- Source: Dynamics and Control
Title: On Strategies on a Mathematical Model for Leukemia Therapy
- Authors: A.S. Bratus’, E. Fimmel, Y. Todorov, Y.S. Semenov, F. Nuernberg
- Year: 2012
- Citations: 43
- Source: Nonlinear Analysis: Real World Applications
Title: Optimal Bounded Response Control for a Second-Order System Under a White-Noise Excitation
- Authors: A. Bratus, M. Dimentberg, D. Iourtchenko
- Year: 2000
- Citations: 43
- Source: Journal of Vibration and Control
Title: Optimal Radiation Fractionation for Low-Grade Gliomas: Insights from a Mathematical Model
- Authors: T. Galochkina, A. Bratus, V.M. Pérez-García
- Year: 2015
- Citations: 33
- Source: Mathematical Biosciences
Title: Optimal Control Synthesis in Therapy of Solid Tumor Growth
- Authors: A.S. Bratus’, E.S. Chumerina
- Year: 2008
- Citations: 30
- Source: Computational Mathematics and Mathematical Physics
Title: Solution of the Feedback Control Problem in the Mathematical Model of Leukemia Therapy
- Authors: A. Bratus, Y. Todorov, I. Yegorov, D. Yurchenko
- Year: 2013
- Citations: 28
- Source: Journal of Optimization Theory and Applications
Title: Stabilizing and Destabilizing Effects in Non-Conservative Systems
- Authors: N.V. Banichuk, A.S. Bratus, A.D. Myshkis
- Year: 1989
- Citations: 26
- Source: Journal of Applied Mathematics and Mechanics
Title: Linear Algebra of the Permutation Invariant Crow-Kimura Model of Prebiotic Evolution
- Authors: A.S. Bratus, A.S. Novozhilov, Y.S. Semenov
- Year: 2014
- Citations: 25
- Source: Mathematical Biosciences

Sorin Vlase | Applied Mathematics | Excellence in Applied Mathematics

Posted on 28/02/202528/02/2025 by Math Scientist

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)

Mohammed Hussein | Applied Mathematics | Best Researcher Award

Posted on 26/02/202526/02/2025 by Math Scientist

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
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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

LinTian Luh | Applied Mathematics | Numerical Analysis Research Award

Posted on 25/02/202526/02/2025 by Math Scientist

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

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

Professional Profile

Scopus Profile
ORCID Profile

Education

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

Professional Experience

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

Research Interest

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

Awards and Honors

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

Conclusion

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

Publications Top Noted

The Shape Parameter in the Shifted Surface Spline—A Sharp and Friendly Approach
- Author: Lin-Tian Luh
- Year: 2024
- Source: Mathematics (MDPI)
Solving Poisson Equations by the MN-Curve Approach
- Author: Lin-Tian Luh
- Year: 2022
- Source: Mathematics (MDPI)
A Direct Prediction of the Shape Parameter in the Collocation Method of Solving Poisson Equation
- Author: Lin-Tian Luh
- Year: 2022
- Source: Mathematics (MDPI)
The Shape Parameter in the Shifted Surface Spline—An Easily Accessible Approach
- Author: Lin-Tian Luh
- Year: 2022
- Source: Mathematics (MDPI)
A Direct Prediction of the Shape Parameter—A Purely Scattered Data Approach
- Author: Lin-Tian Luh
- Year: 2020
- Source: Engineering Analysis with Boundary Elements (EABE)
The Choice of the Shape Parameter–A Friendly Approach
- Author: Lin-Tian Luh
- Year: 2019
- Source: Engineering Analysis with Boundary Elements (Elsevier)
The Mystery of the Shape Parameter III
- Author: Lin-Tian Luh
- Year: 2016
- Source: Applied and Computational Harmonic Analysis (Elsevier)
The Mystery of the Shape Parameter IV
- Author: Lin-Tian Luh
- Year: 2014
- Source: Engineering Analysis with Boundary Elements (Elsevier)
The Shape Parameter in the Gaussian Function II
- Author: Lin-Tian Luh
- Year: 2013
- Source: Engineering Analysis with Boundary Elements (Elsevier)
The Shape Parameter in the Gaussian Function
- Author: Lin-Tian Luh
- Year: 2012
- Source: Computers and Mathematics with Applications (Elsevier)
The Shape Parameter in the Shifted Surface Spline III
- Author: Lin-Tian Luh
- Year: 2012
- Source: Engineering Analysis with Boundary Elements (Elsevier)
Evenly Spaced Data Points and Radial Basis Functions
- Author: Lin-Tian Luh
- Year: 2011
- Source: WIT Transactions on Modelling and Simulation
The Crucial Constants in the Exponential-Type Error Estimates for Gaussian Interpolation
- Author: Lin-Tian Luh
- Year: 2008
- Source: Analysis in Theory and Applications
A Direct Prediction of the Shape Parameter in the Collocation Method of Solving Poisson Equation (Preprint)
- Author: Lin-Tian Luh
- Year: 2022
- Source: Multidisciplinary Digital Publishing Institute (MDPI Preprints)

Saif Ur Rehman | Applied Mathematics | Best Researcher Award

Posted on 22/02/202522/02/2025 by Math Scientist

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