Shijie Zhao | Applied Mathematics | Best Researcher Award

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

Associate Professor at Liaoning Technical University, China

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

Professional Profile 

Scopus 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

 

Gurami Tsitsiashvili | Statistics | Differential Equations Pioneer Award

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Prof. Dr. Gurami Tsitsiashvili | Statistics | Differential Equations Pioneer Award

Chief Researcher at Institute of Applied Mathematics Far Eastern Branch of the Russian Academy of Sciences, Russia

Dr. Gurami Shalvovich Tsitsiashvili is a distinguished mathematician specializing in applied mathematics, stochastic models, and stability analysis. With over 50 years of research experience at the Institute of Applied Mathematics, Far Eastern Branch of the Russian Academy of Sciences, he has made significant contributions to the mathematical modeling of complex systems. His research focuses on queueing theory, Markov chains, decomposition methods, and the construction of Lyapunov functions for stability analysis—key areas closely linked to differential equations. He has authored more than 180 publications, including influential monographs, and has served as a professor since 1992, mentoring generations of mathematicians. His interdisciplinary work extends to applications in heat transfer, epidemic modeling, and biorhythm analysis. While his contributions to applied differential equations are profound, a stronger focus on fundamental theoretical advancements in differential equations would further enhance his recognition. His expertise, leadership, and research impact make him a strong candidate for the Differential Equations Pioneer Award.

Professional Profile 

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Education

Dr. Gurami Shalvovich Tsitsiashvili holds a strong academic foundation in mathematics and physics. He earned his Master of Science (M.Sc.) degree from the prestigious Moscow Physico-Technical Institute in 1972. He further pursued advanced studies at the Far Eastern Branch of the USSR Academy of Sciences, obtaining his Ph.D. in Mathematics and Physics in 1976. His doctoral research focused on stability analysis, laying the groundwork for his expertise in stochastic systems. In 1993, he achieved a Doctor of Science (Dr. Sci.) degree with a thesis on decomposition analysis of complex systems, a significant milestone in his academic career. His extensive education in applied mathematics, theoretical physics, and system analysis has equipped him with the necessary skills to tackle complex mathematical problems, particularly in differential equations, queueing theory, and stochastic modeling. His academic journey has positioned him as a leading researcher in the field, contributing extensively to mathematical sciences.

Professional Experience

Dr. Tsitsiashvili has dedicated his career to the Institute of Applied Mathematics, Far Eastern Branch of the Russian Academy of Sciences, where he has worked since 1972. Beginning as a junior researcher, he progressed through various roles, becoming a senior researcher in 1976 and later heading a research laboratory in 1981. His leadership skills and scientific expertise led to his appointment as Vice-Head of the institute on science from 2003 to 2013. Since then, he has continued as the head of a research laboratory and a principal scientific researcher. In addition to his work at the institute, he has been a professor at Far Eastern Technical University since 1992 and at Far Eastern Federal University since 1996, where he has mentored numerous students. His long-standing academic and research career has significantly contributed to applied mathematics, particularly in stability analysis, stochastic processes, and decomposition methods.

Research Interest

Dr. Tsitsiashvili’s research interests span applied mathematics, stochastic processes, and complex system modeling. His primary focus is on queueing theory, Markov chains, stability analysis, and decomposition methods, all of which have strong applications in differential equations. He has extensively studied the stability of multi-channel queueing systems, Lyapunov function construction, and cooperative effects in stochastic models. His interdisciplinary approach extends to applications in heat transfer, epidemic modeling, and biorhythm analysis. His work in mathematical physics, particularly in transforming epidemic models into random walk problems, showcases his ability to bridge theoretical mathematics with real-world applications. Additionally, his studies on decomposition effects in stochastic systems provide valuable insights into system optimization. While his expertise in applied differential equations is substantial, a deeper engagement in fundamental theoretical developments in the field could further solidify his impact. His contributions continue to shape mathematical modeling and its applications across various scientific domains.

Awards and Honors

Dr. Tsitsiashvili’s contributions to applied mathematics and stochastic modeling have earned him widespread recognition. While specific awards and honors are not explicitly listed in his curriculum vitae, his longstanding leadership roles and extensive publication record underscore his influence in the field. His appointment as the head of a research laboratory and Vice-Head of the Institute of Applied Mathematics reflects the recognition of his expertise and contributions by his peers. His role as a professor at Far Eastern Technical University and Far Eastern Federal University further highlights his standing in the academic community. With over 180 publications, including several monographs, he has made significant contributions to mathematical research, particularly in stability analysis and decomposition methods. His recognition is also evident through his extensive collaborations with researchers worldwide. While he has achieved remarkable academic and professional milestones, additional international accolades would further enhance his global impact in the field of differential equations and applied mathematics.

Conclusion

Dr. Tsitsiashvili is a highly accomplished mathematician whose research has significantly advanced applied mathematics, particularly in stochastic modeling, stability analysis, and decomposition methods. His extensive professional experience at the Institute of Applied Mathematics and his academic contributions as a professor demonstrate his dedication to the field. His work on queueing theory, Markov chains, and cooperative effects in stochastic models has influenced various scientific domains, including physics, biology, and engineering. While his research has strong connections to differential equations, a greater focus on fundamental theoretical advancements in this area could further strengthen his case for the Differential Equations Pioneer Award. His leadership, extensive publication record, and interdisciplinary research make him a strong candidate for recognition. His contributions have not only advanced mathematical theory but also provided practical applications in real-world problems, cementing his legacy as a distinguished researcher in applied mathematics.

Publications Top Noted

  • Title: Assessment of the Effect of Regional Climate Conditions on the Abundance of the Pink Salmon, Oncorhynchus gorbuscha (Walbaum, 1792) (Salmonidae), in the Sea of Japan in 1980–2023
    Authors: T.A. Shatilina, G.S. Tsitsiashvili, M.A. Osipova, T.V. Radchenkova
    Year: 2024
    Source: Russian Journal of Marine Biology

  • Title: Determination of Stability and Reliability of Shortest Paths in a Graph through Lists of Labels in Dijkstra’s Algorithm
    Authors: G.S. Tsitsiashvili
    Year: 2024
    Source: Reliability: Theory and Applications

  • Title: Networks Based on Graphs of Transient Intensities and Product Theorems in Their Modelling
    Authors: G.S. Tsitsiashvili
    Year: 2024
    Source: Computation

  • Title: Algorithms for Approximating a Function Based on Inaccurate Observations
    Authors: G.S. Tsitsiashvili, M.A. Osipova
    Year: 2024
    Source: Reliability: Theory and Applications

  • Title: Limit Cycles of Length Two in the Rikker Model and Their Application in Fishing
    Authors: G.S. Tsitsiashvili, T.A. Shatilina, M.A. Osipova, T.V. Radchenkova
    Year: 2024
    Citations: 1
    Source: Reliability: Theory and Applications

  • Title: Controlled Queuing Systems with a Stationary Uniform Distribution
    Authors: G.S. Tsitsiashvili, Y.N. Kharchenko
    Year: 2024
    Source: Vestnik Tomskogo Gosudarstvennogo Universiteta – Upravlenie, Vychislitel’naya Tekhnika i Informatika

  • Title: Graph Algorithms for Calculating the Distribution of the Amur Tiger Tracks in Primorsky Krai
    Authors: G.S. Tsitsiashvili, V. Bocharnikov, S.M. Krasnopeyev, M.A. Osipova
    Year: 2024
    Source: Theoretical and Applied Ecology

  • Title: Statistical Evaluation of Input Flow Intensity in the Presence of an Interfering Parameter
    Authors: G.S. Tsitsiashvili
    Year: 2024
    Source: Conference Paper (No source information available)

  • Title: Formation of Large Anomalies in the Thermal Conditions of Waters on the Western and Eastern Shelf of the Sakhalin Island
    Authors: T.A. Shatilina, V.V. Moroz, G.S. Tsitsiashvili, T.V. Radchenkova
    Year: 2024
    Source: Physical Oceanography

  • Title: Fast Method for Estimating the Parameters of Partial Differential Equations from Inaccurate Observations
    Authors: G.S. Tsitsiashvili, A.I. Gudimenko, M.A. Osipova
    Year: 2023
    Source: Mathematics (Open Access)

 

Zengjing Chen | Probability Theory | Best Researcher Award

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Prof. Zengjing Chen | Probability Theory | Best Researcher Award

Shandong China at School of Mathematics Shandong University, China

Professor Zengjing Chen is a distinguished scholar in applied mathematics, financial mathematics, and probability theory, currently serving at Shandong University. With a Ph.D. in Applied Mathematics from Shandong University, his academic journey includes visiting positions at leading institutions such as INRIA (France), the University of Western Ontario (Canada), and the University of Rochester (USA). He has made significant contributions to nonlinear expectations, stochastic processes, and financial mathematics, reflected in his extensive publication record in high-impact journals like Econometrica, Annals of Probability, and Journal of Economic Theory. His leadership roles include chairing committees in the Society for Industrial and Applied Mathematics of China and the Bernoulli Society. A recipient of prestigious awards such as the National Natural Science Award and the Society for Industrial and Applied Mathematics of China Fellowship, Professor Chen’s research has advanced the theoretical foundations of risk analysis, asset pricing, and stochastic control, earning him global recognition in mathematical finance and probability.

Professional Profile 

Scopus Profile

Education

Professor Zengjing Chen earned his Ph.D. in Applied Mathematics from Shandong University, where he developed a strong foundation in probability theory and financial mathematics. His academic journey included postdoctoral research and visiting scholar positions at renowned institutions, such as INRIA in France, the University of Western Ontario in Canada, and the University of Rochester in the United States. These international experiences enriched his expertise in stochastic processes, nonlinear expectations, and risk analysis. Throughout his education, he was mentored by leading mathematicians, contributing to his profound theoretical insights and innovative approaches to financial mathematics. His Ph.D. research laid the groundwork for his later contributions to nonlinear probability and robust financial modeling. By combining mathematical rigor with practical financial applications, he has become a prominent figure in applied probability and mathematical finance, influencing both theoretical advancements and real-world financial decision-making through his interdisciplinary research.

Professional Experience

Professor Chen has held key academic and research positions throughout his career, primarily at Shandong University, where he has been a professor and mentor to numerous doctoral students. His professional experience extends beyond China, having served as a visiting professor and research collaborator at leading institutions worldwide, including INRIA in France, the University of Western Ontario in Canada, and the University of Rochester in the United States. As an active member of the global mathematical community, he has chaired committees in prestigious organizations such as the Society for Industrial and Applied Mathematics of China and the Bernoulli Society. His editorial roles in top-tier mathematical journals demonstrate his influence in shaping the direction of research in financial mathematics and probability theory. With a career spanning decades, his professional journey reflects a commitment to advancing mathematical sciences, mentoring young researchers, and fostering international collaborations that bridge theoretical research with practical applications.

Research Interest

Professor Chen’s research interests lie at the intersection of probability theory, financial mathematics, and stochastic processes. He has made pioneering contributions to nonlinear expectations, risk measures, and robust financial modeling. His work on sublinear expectations and G-expectation has significantly impacted mathematical finance, particularly in asset pricing, risk management, and stochastic control. He is also deeply involved in uncertainty quantification and the application of probability theory to economics, developing models that address market volatility and financial risk under uncertainty. His research extends to machine learning applications in financial mathematics, where he explores new methodologies for predictive modeling and risk assessment. By integrating advanced probability theory with financial applications, his work has provided critical insights into optimal decision-making under uncertainty. His studies have been widely published in leading mathematical and economic journals, influencing both academic research and practical financial strategies used in investment, banking, and insurance industries.

Awards and Honors

Throughout his career, Professor Chen has received numerous prestigious awards recognizing his contributions to mathematics and financial modeling. He was honored with the National Natural Science Award, one of China’s highest accolades for scientific research, for his groundbreaking work in nonlinear probability and financial mathematics. He is also a Fellow of the Society for Industrial and Applied Mathematics of China, a distinction awarded to scholars who have made significant contributions to applied mathematics. His research has been supported by major grants from the National Science Foundation of China, allowing him to lead influential projects in stochastic analysis and risk management. Additionally, he has been invited to deliver keynote lectures at major international awards, further solidifying his status as a leading expert in probability and financial mathematics. His accolades reflect his lasting impact on the field, inspiring a new generation of researchers and practitioners in mathematical finance and applied probability.

Conclusion

Professor Zengjing Chen stands as a globally recognized scholar in applied mathematics, probability theory, and financial mathematics, with profound contributions to nonlinear expectations and stochastic processes. His academic and professional journey has been marked by excellence in research, international collaboration, and mentorship. Through his pioneering work in robust risk modeling and uncertainty quantification, he has advanced theoretical frameworks that influence real-world financial decision-making. His recognition through prestigious awards and leadership roles in top mathematical societies underscores his impact on the field. As a researcher, educator, and thought leader, Professor Chen continues to shape the future of mathematical finance, probability theory, and interdisciplinary mathematical applications. His contributions remain fundamental to both theoretical advancements and practical implementations in risk management, asset pricing, and financial stability, ensuring his legacy as a leading figure in the global mathematical community.

Publications Top Noted

  • Title: Proof of a Conjecture About Parrondo’s Paradox for Two-Armed Slot Machines
    Authors: Huaijin Liang, Zengjing Chen
    Year: 2025
    Source: Advances in Applied Mathematics

  • Title: A Theoretical Model for a Vane with Stochastic Rotation
    Authors: Zengjing Chen, Xinwei Feng, Han Li, Shijie Xie
    Year: 2024
    Source: Physica D: Nonlinear Phenomena

  • Title: An Advanced Machine Learning Method for Simultaneous Breast Cancer Risk Prediction and Risk Ranking in Chinese Population: A Prospective Cohort and Modeling Study
    Authors: Liyuan Liu, Yong He, Chunyu Kao, Zengjing Chen, Zhigang Yu
    Year: 2024
    Source: Chinese Medical Journal

  • Title: A Quantum Technology for Reinforcement Learning on Channel Assignment
    Authors: Zengjing Chen, Lu Wang, Chengzhi Xing
    Year: 2024
    Source: Advanced Quantum Technologies

  • Title: Optimal Strategy for Bayesian Two-Armed Bandit Problem with an Arched Reward Function
    Authors: Zengjing Chen, Zhao Ang Zhang
    Year: 2024
    Source: Mathematical Control and Related Fields

  • Title: Approximate Optimality and the Risk/Reward Tradeoff Given Repeated Gambles
    Authors: Zengjing Chen, Larry G. Epstein, Guodong Zhang
    Year: 2024
    Source: Economic Theory

 

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
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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

Shen Wang | Probability Theory | Best Researcher Award

Posted on by Math Scientist

Dr. Shen Wang | Probability Theory | Best Researcher Award

Assistant professor at College of Science/Civil Aviation University of China, China

Dr. Shen Wang, an Assistant Professor at the Civil Aviation University of China, specializes in stochastic analysis, particularly in McKean-Vlasov Stochastic Differential Equations (SDEs) and invariant probability measures. He holds a Ph.D. from Tianjin University and has contributed to mathematical modeling through five SCI/Scopus-indexed journal publications and two patents. His research applies Wang’s Harnack inequality and the Banach fixed point theorem to establish weak well-posedness for SDEs with integrable drift. Dr. Wang has editorial appointments (2) and research collaborations (4), demonstrating academic engagement. However, with only one citation index, limited industry projects, and no professional memberships, his research impact remains in its early stages. Expanding his citation count, industry collaborations, and leadership roles in awards or professional organizations would further strengthen his profile. While he exhibits strong theoretical expertise, greater influence in applied research and broader academic recognition would enhance his suitability for prestigious awards like the Best Researcher Award in the future.

Professional Profile 

Scopus Profile

Education

Dr. Shen Wang earned his Ph.D. from Tianjin University, a leading institution recognized for its research in mathematics and applied sciences. His doctoral studies focused on stochastic analysis, particularly McKean-Vlasov Stochastic Differential Equations (SDEs) and their applications in probability theory and mathematical modeling. Through rigorous academic training, he developed expertise in advanced mathematical concepts, including Wang’s Harnack inequality and the Banach fixed point theorem. His education provided a strong foundation in both theoretical and applied aspects of stochastic processes, equipping him with the analytical tools necessary for high-impact research. His academic journey has been instrumental in shaping his current research directions, allowing him to contribute to the mathematical understanding of stochastic systems. With a commitment to continued learning, Dr. Wang actively engages with new methodologies and techniques that enhance his ability to address complex problems in stochastic modeling and probability theory.

Professional Experience

Dr. Shen Wang is currently an Assistant Professor at the Civil Aviation University of China, where he is involved in research and teaching in the field of stochastic analysis. His professional role includes mentoring students, conducting advanced mathematical research, and collaborating with fellow scholars on theoretical and applied probability studies. As an emerging researcher, he has undertaken one research project and has been actively contributing to the academic community through editorial roles in two journals and four research collaborations. While his current experience is primarily in academia, his work in stochastic differential equations and invariant probability measures has potential applications in finance, physics, and engineering. Expanding his research into interdisciplinary areas and industry partnerships would strengthen his professional impact. His teaching and mentoring efforts also help cultivate the next generation of mathematicians, reinforcing his role as an academic leader.

Research Interest

Dr. Wang’s primary research interests lie in stochastic analysis, probability theory, and mathematical modeling, with a focus on McKean-Vlasov Stochastic Differential Equations (SDEs) and their applications. His work involves investigating the well-posedness of these equations using Wang’s Harnack inequality and the Banach fixed point theorem to explore solutions under integrable drift conditions. His research extends to the existence and uniqueness of invariant probability measures for symmetric McKean-Vlasov SDEs and stochastic Hamiltonian systems. These mathematical frameworks are crucial in understanding probabilistic models in physics, finance, and engineering. While his contributions are largely theoretical, they have significant potential for real-world applications in areas such as stochastic control, machine learning, and optimization. To enhance his research impact, expanding into applied domains and increasing interdisciplinary collaborations with data scientists, economists, and engineers would be beneficial.

Awards and Honors

Dr. Wang’s contributions to stochastic analysis have led to notable academic achievements, including five SCI/Scopus-indexed journal publications and two patents related to his research. His editorial roles in peer-reviewed journals and four academic collaborations further highlight his growing influence in the mathematical community. While he has yet to receive major international recognitions, his work in stochastic differential equations positions him as a promising researcher. To strengthen his awards portfolio, Dr. Wang could pursue best paper awards, fellowships, and research grants, as well as increase engagement with international mathematical societies. His contributions to probability theory and differential equations indicate significant potential for future accolades in both theoretical and applied mathematics. Expanding his professional memberships and participating in prestigious awards would also enhance his recognition and increase his chances of receiving higher honors.

Conclusion

Dr. Shen Wang is an emerging researcher in stochastic analysis, with expertise in McKean-Vlasov SDEs, Wang’s Harnack inequality, and the Banach fixed point theorem. As an Assistant Professor at the Civil Aviation University of China, he has contributed to the field through five indexed journal publications, two patents, and multiple editorial and collaborative roles. However, with limited citations, industry engagement, and professional memberships, his research impact remains in the early stages. Strengthening his academic presence through interdisciplinary collaborations, industry partnerships, and leadership in professional organizations would further elevate his standing. While he is a promising candidate for future academic honors, additional efforts in expanding his research influence and citation impact are necessary to position him as a top contender for prestigious awards like the Best Researcher Award.

Publications Top Noted

Title: Weak Solution and Invariant Probability Measure for McKean-Vlasov SDEs with Integrable Drifts

Authors: Xing Huang, Shen Wang, Fenfen Yang

Year: 2024

Source: Journal of Mathematical Analysis and Applications