Qi Zhang | Mathematical Modeling | Best Researcher Award

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Assoc. Prof. Dr. Qi Zhang | Mathematical Modeling | Best Researcher Award

Senior Researcher at Shandong University, China

Dr. Qi Zhang 👨‍🔬, an Associate Senior Researcher at the School of Control Science and Engineering, Shandong University 🇨🇳, is a leading expert in electric vehicles 🚗, lithium-ion batteries 🔋, and power battery management. With a strong focus on energy optimization and modeling, he has contributed extensively to top-tier journals as an Editor-in-Chief, Guest Editor, and reviewer ✍️. A respected member of IEEE and several national academic committees 🏅, Dr. Zhang has organized and chaired major international conferences, shaping the future of clean energy and smart mobility 🌍. His active involvement in editorial boards and special issues demonstrates his influence in advancing electrochemical energy research ⚡. A passionate academic, Dr. Zhang combines innovation, collaboration, and impact, making him a recognized name in sustainable technology and battery systems research. 📘🔬

Professional Profile 

🎓 Education

Dr. Qi Zhang pursued his academic journey in engineering with a strong foundation in control science and power systems ⚙️. His higher education equipped him with advanced knowledge in battery management systems, lithium-ion technology, and electrical vehicle engineering 🔋🚗. With a keen interest in applied research, he specialized in battery modeling and system optimization, aligning his studies with pressing global energy challenges 🌱. His academic background laid the groundwork for his impactful research in energy storage and control systems, supported by hands-on experimentation and computational modeling 📚💡. Dr. Zhang’s education has not only shaped his technical abilities but also nurtured his analytical mindset, fostering a deep commitment to innovation, sustainable mobility, and academic excellence 📖🏅.

💼 Professional Experience

Dr. Qi Zhang is an Associate Senior Researcher at the School of Control Science and Engineering, Shandong University 🇨🇳. With years of dedicated service, he has established himself as a key contributor in electric vehicle technologies and battery systems 🔌🚘. He has taken on multiple leadership roles including Editor-in-Chief, Guest Editor, and Session Chair at international conferences such as ICIEA and NESD 📊🌐. His professional affiliations include IEEE, AEIC, and Chinese Electrotechnical Society, reflecting his deep integration into global research networks 🤝. Dr. Zhang’s work spans across research, academic mentorship, and peer review, demonstrating a balanced blend of theory and real-world application. His industry collaborations and research leadership showcase a career marked by innovation, reliability, and technical excellence 📈🔍.

🔬 Research Interests

Dr. Zhang’s research is centered on electric vehicles, lithium-ion batteries, and power battery modeling and management systems 🚗🔋. His work focuses on enhancing the efficiency, safety, and performance of energy storage and electric mobility systems through smart algorithms and control strategies 🤖📡. He investigates battery thermal dynamics, charging protocols, and electrochemical modeling to improve reliability and longevity of EV systems ⏱️⚡. Additionally, his interest in fractional-order systems and data-driven approaches positions him at the forefront of next-gen battery technology. Dr. Zhang’s interdisciplinary focus bridges the gap between control science, energy sustainability, and intelligent transport systems 🛣️🌍. His research contributes significantly to the green energy transition, paving the way for smarter and more sustainable mobility solutions 🌱🧠.

🏅 Awards and Honors

Dr. Qi Zhang’s dedication to academic excellence has earned him numerous accolades 🌟. Recognized as an Outstanding Reviewer by top-tier journals like ISA Transactions and Electrical Engineering, he has demonstrated rigorous scholarly commitment and peer evaluation integrity 🧾🔍. His editorial leadership in special issues of Symmetry, Energies, Electrochem, and Electronics underlines his recognition as a thought leader in battery research and energy systems 🔋📘. In addition, his roles in professional societies, including IEEE membership and his inclusion in academic committees across Asia and Singapore 🇸🇬, affirm his influential standing. These honors reflect his consistent impact on the field and his dedication to collaborative progress in clean energy and vehicle electrification ⚡🚗.

🛠️ Research Skills

Dr. Zhang exhibits a diverse and sophisticated research skillset encompassing battery modeling, control system design, thermal analysis, and intelligent battery management 🧠💻. His proficiency in computational tools and system simulations allows him to address complex engineering challenges with precision. He is adept at leading multidisciplinary projects, organizing special issues, and reviewing for globally reputed journals, showcasing his editorial and analytical acumen 📈📝. Additionally, his technical expertise extends to data analysis, algorithm design, and hybrid energy systems, enabling impactful contributions in sustainable technology. With strong communication skills, project coordination capabilities, and collaborative leadership, Dr. Zhang bridges theory and application seamlessly. His combination of technical depth and academic influence positions him as a forward-thinking researcher and innovator 🌐🔬.

Publications Top Note 📝

  • Title: A novel fractional variable-order equivalent circuit model and parameter identification of electric vehicle Li-ion batteries
    Authors: Q. Zhang, Y. Shang, Y. Li, N. Cui, B. Duan, C. Zhang
    Year: 2020
    Citations: 138
    Source: ISA Transactions, Vol. 97, pp. 448–457

  • Title: Remaining useful life prediction of lithium‐ion battery based on extended Kalman particle filter
    Authors: B. Duan, Q. Zhang, F. Geng, C. Zhang
    Year: 2020
    Citations: 124
    Source: International Journal of Energy Research, Vol. 44(3), pp. 1724–1734

  • Title: Co-estimation of model parameters and state-of-charge for lithium-ion batteries with recursive restricted total least squares and unscented Kalman filter
    Authors: R. Zhu, B. Duan, J. Zhang, Q. Zhang, C. Zhang
    Year: 2020
    Citations: 109
    Source: Applied Energy, Vol. 277, Article 115494

  • Title: A sine-wave heating circuit for automotive battery self-heating at subzero temperatures
    Authors: Y. Shang, K. Liu, N. Cui, Q. Zhang, C. Zhang
    Year: 2019
    Citations: 95
    Source: IEEE Transactions on Industrial Informatics, Vol. 16(5), pp. 3355–3365

  • Title: Multicell-to-Multicell Equalizers Based on Matrix and Half-Bridge LC Converters for Series-Connected Battery Strings
    Authors: Y. Shang, Q. Zhang, N. Cui, B. Duan, Z. Zhou, C. Zhang
    Year: 2019
    Citations: 90
    Source: IEEE Journal of Emerging and Selected Topics in Power Electronics, Vol. 8(2)

  • Title: A cell-to-cell equalizer based on three-resonant-state switched-capacitor converters for series-connected battery strings
    Authors: Y. Shang, Q. Zhang, N. Cui, C. Zhang
    Year: 2017
    Citations: 84
    Source: Energies, Vol. 10(2), Article 206

  • Title: An optimized mesh-structured switched-capacitor equalizer for lithium-ion battery strings
    Authors: Y. Shang, Q. Zhang, N. Cui, B. Duan, C. Zhang
    Year: 2018
    Citations: 79
    Source: IEEE Transactions on Transportation Electrification, Vol. 5(1), pp. 252–261

  • Title: Modeling and analysis of high-frequency alternating-current heating for lithium-ion batteries under low-temperature operations
    Authors: Y. Shang, C. Zhu, G. Lu, Q. Zhang, N. Cui, C. Zhang
    Year: 2020
    Citations: 76
    Source: Journal of Power Sources, Vol. 450, Article 227435

  • Title: Robust current control-based generalized predictive control with sliding mode disturbance compensation for PMSM drives
    Authors: X. Liu, C. Zhang, K. Li, Q. Zhang
    Year: 2017
    Citations: 72
    Source: ISA Transactions, Vol. 71, pp. 542–552

  • Title: Fractional calculus based modeling of open circuit voltage of lithium-ion batteries for electric vehicles
    Authors: Q. Zhang, N. Cui, Y. Li, B. Duan, C. Zhang
    Year: 2020
    Citations: 62
    Source: Journal of Energy Storage, Vol. 27, Article 100945

  • Title: An adaptive battery capacity estimation method suitable for random charging voltage range in electric vehicles
    Authors: C. Zhang, Y. Kang, B. Duan, Z. Zhou, Q. Zhang, Y. Shang, A. Chen
    Year: 2021
    Citations: 55
    Source: IEEE Transactions on Industrial Electronics, Vol. 69(9), pp. 9121–9132

  • Title: Fractional-order modeling of lithium-ion batteries using additive noise assisted modeling and correlative information criterion
    Authors: M. Yu, Y. Li, I. Podlubny, F. Gong, Y. Sun, Q. Zhang, Y. Shang, B. Duan
    Year: 2020
    Citations: 52
    Source: Journal of Advanced Research, Vol. 25, pp. 49–56

  • Title: Optimal planning of electric vehicle charging stations considering user satisfaction and charging convenience
    Authors: D. Xu, W. Pei, Q. Zhang
    Year: 2022
    Citations: 43
    Source: Energies, Vol. 15(14), Article 5027

  • Title: A neural network fuzzy energy management strategy for hybrid electric vehicles based on driving cycle recognition
    Authors: Q. Zhang, X. Fu
    Year: 2020
    Citations: 42
    Source: Applied Sciences, Vol. 10(2), Article 696

  • Title: Parameter matching optimization of a powertrain system of hybrid electric vehicles based on multi-objective optimization
    Authors: X. Fu, Q. Zhang, J. Tang, C. Wang
    Year: 2019
    Citations: 32
    Source: Electronics, Vol. 8(8), Article 875

  • Title: Variable fractional order—A comprehensive evaluation indicator of lithium-ion batteries
    Authors: Y. Sun, Y. Li, M. Yu, Z. Zhou, Q. Zhang, B. Duan, Y. Shang, C. Zhang
    Year: 2020
    Citations: 31
    Source: Journal of Power Sources, Vol. 448, Article 227411

  • Title: Practical State of Health Estimation for LiFePO4 Batteries Based on Gaussian Mixture Regression and Incremental Capacity Analysis
    Authors: Z. Zhou, B. Duan, Y. Kang, Y. Shang, Q. Zhang, C. Zhang
    Year: 2022
    Citations: 30
    Source: IEEE Transactions on Industrial Electronics, Vol. 70(3), pp. 2576–2585

🏁 Conclusion

In conclusion, Dr. Qi Zhang is a distinguished scholar and researcher in the field of electric mobility and battery management 🌟. His expertise spans critical areas of lithium-ion battery systems, energy efficiency, and sustainable vehicle technology 🚗⚡. With a robust academic background, impactful editorial and professional roles, and a well-rounded skillset, he demonstrates all the qualities of a global research leader. His work not only advances scientific understanding but also contributes to the development of clean and intelligent transport solutions 🌍🛠️. Through consistent contributions to international journals, conferences, and collaborative networks, Dr. Zhang remains a key figure driving innovation in energy systems. He is exceptionally well-positioned for recognition such as the Best Researcher Award for his dedication, vision, and impact 🏅.

Sedaghat Shahmorad Moghanlou | Applied Mathematics | Best Researcher Award

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Prof. Sedaghat Shahmorad Moghanlou | Applied Mathematics | Best Researcher Award

Applied Math. Department at University of Tabriz, Iran

Prof. Sedaghat Shahmorad 🎓, a distinguished scholar in Applied Mathematics at the University of Tabriz 🇮🇷, specializes in numerical analysis, particularly integro-differential equations. With over two decades of academic experience 🧠, he has significantly contributed to the field through extensive teaching, research, and leadership. He has supervised numerous M.Sc. and Ph.D. theses 🎓📚 and authored multiple scholarly books and impactful journal articles 📖📝. His work on the Tau method and approximation techniques has earned recognition in computational mathematics 🧮. As Head of the Applied Mathematics Department and former Dean, he has demonstrated strong administrative and academic leadership 👨‍🏫📊. Prof. Shahmorad’s dedication to advancing numerical methods and mentoring future mathematicians makes him a highly deserving candidate for the Best Researcher Award 🏆🔬.

Professional Profile 

Education 🎓📘

Prof. Sedaghat Shahmorad earned his B.Sc. in Applied Mathematics from the University of Tabriz 🇮🇷, followed by an M.Sc. and Ph.D. in Numerical Analysis from the same institution. His academic journey has been marked by excellence in mathematical modeling and computational theory 📊. With a solid foundation in numerical methods and integro-differential equations, he developed deep expertise in solving complex mathematical problems 💡. Throughout his academic training, Prof. Shahmorad received high honors, standing out for his analytical acumen and innovation 🧠. His commitment to lifelong learning and scholarly development has shaped a distinguished academic and research career, reinforcing his role as a leading expert in numerical mathematics 📐🔍.

Professional Experience 👨‍🏫🏢

Prof. Shahmorad brings over two decades of academic and leadership experience in Applied Mathematics at the University of Tabriz 🎓. He has served as the Head of the Department of Applied Mathematics and formerly as the Dean of the Faculty of Mathematical Sciences 🏛️. In addition to his teaching duties, he has led multiple research projects, supervised numerous postgraduate students, and contributed to curriculum development 📚. His strong leadership and mentorship have made a lasting impact on the academic community 👥. He has also participated in editorial boards, conferences, and international collaborations 🌐. His professional trajectory reflects his deep commitment to both teaching and research excellence, making him a vital contributor to the advancement of numerical mathematics 🔬📈.

Research Interest 🔍📐

Prof. Shahmorad’s research focuses on numerical analysis, especially the development of efficient methods for solving integro-differential and delay differential equations 🔢. He is renowned for his work on Tau methods, spectral techniques, and high-order approximation algorithms, which have broad applications in engineering, physics, and applied sciences ⚙️🌌. His studies aim to bridge theoretical rigor with computational feasibility, providing tools for real-world problem-solving 💻📊. He also explores fractional calculus, integral transforms, and mathematical modeling of dynamic systems. His interdisciplinary research contributes significantly to advancing both applied and pure mathematical domains 📘🧪. Prof. Shahmorad’s innovative methodologies continue to influence emerging trends in computational mathematics and inspire the next generation of researchers around the globe 🌍.

Award and Honor 🏆🎖️

Prof. Sedaghat Shahmorad has received multiple awards and honors recognizing his academic excellence, innovative research, and outstanding mentorship 🏅📚. Notably, he has been acknowledged as a Top Researcher at the University of Tabriz and by national science organizations in Iran 🇮🇷. His contributions to numerical mathematics, especially in solving integro-differential equations, have earned accolades from peer-reviewed journals and international conference bodies 🧾🌟. He has also received honors for excellence in teaching and student supervision, highlighting his role as a mentor par excellence 👨‍🏫🌱. These awards are a testament to his impactful research output, dedication to knowledge dissemination, and continued service to the academic community 🎓🧠.

Research Skill 🧠💻

Prof. Shahmorad possesses advanced skills in mathematical modeling, numerical simulations, and algorithm development. He is proficient in implementing spectral and collocation methods, particularly the Tau method, to tackle complex integro-differential systems with precision 🔢📈. His expertise extends to fractional differential equations, delay systems, and applied analysis using computational tools like MATLAB and Mathematica 🖥️⚙️. With a strong command over linear algebra, integral transforms, and functional analysis, he develops robust algorithms that are widely cited and applied in science and engineering 🔍📚. His problem-solving approach blends theoretical insight with computational strategy, fostering innovation and practical applications in numerical mathematics 📘🚀.

Publications Top Note 📝

  • Title: Solving a class of auto-convolution Volterra integral equations via differential transform method
    Authors: Sedaghat Shahmorad, et al.
    Year: 2025
    Source: Journal of Mathematical Modeling

  • Title: Approximate solution of multi-term fractional differential equations via a block-by-block method
    Authors: Sedaghat Shahmorad, et al.
    Year: 2025
    Citations: 1
    Source: Journal of Computational and Applied Mathematics

  • Title: Convergence analysis of Jacobi spectral tau-collocation method in solving a system of weakly singular Volterra integral equations
    Authors: Sedaghat Shahmorad, et al.
    Year: 2024
    Citations: 1
    Source: Mathematics and Computers in Simulation

  • Title: Theoretical and numerical analysis of a first-kind linear Volterra functional integral equation with weakly singular kernel and vanishing delay
    Authors: Sedaghat Shahmorad, et al.
    Year: 2024
    Citations: 1
    Source: Numerical Algorithms

  • Title: Double weakly singular kernels in stochastic Volterra integral equations with application to the rough Heston model
    Authors: Sedaghat Shahmorad, et al.
    Year: 2024
    Source: Applied Mathematics and Computation

  • Title: Existence, uniqueness and blow-up of solutions for generalized auto-convolution Volterra integral equations
    Authors: Sedaghat Shahmorad, et al.
    Year: 2024
    Source: Applied Mathematics and Computation

  • Title: The application of fuzzy transform method to the initial value problems of linear differential–algebraic equations
    Authors: Sedaghat Shahmorad, et al.
    Year: 2024
    Source: Mathematical Sciences

  • Title: Solving fractional differential equations using cubic Hermit spline functions
    Authors: Sedaghat Shahmorad, et al.
    Year: 2024
    Source: Filomat (Open Access)

  • Title: Solving 2D-integro-differential problems with nonlocal boundary conditions via a matrix formulated approach
    Authors: Sedaghat Shahmorad, et al.
    Year: 2023
    Citations: 1
    Source: Mathematics and Computers in Simulation

  • Title: Review of recursive and operational approaches of the Tau method with a new extension
    Authors: Sedaghat Shahmorad, et al.
    Year: 2023
    Source: Computational and Applied Mathematics

Conclusion ✨📜

Prof. Sedaghat Shahmorad stands as a prominent figure in numerical analysis, combining deep theoretical knowledge with computational expertise 🌐📊. His dedication to teaching, mentoring, and advancing numerical methodologies has significantly shaped the field and inspired scholars across disciplines 🧠🎓. With a rich portfolio of research, leadership roles, and academic honors, he exemplifies excellence in mathematics and its real-world applications 🧾🏅. His work not only contributes to scientific understanding but also provides tools for innovation across technology and engineering sectors 🧬⚙️. As a visionary academic and skilled researcher, Prof. Shahmorad continues to influence future directions in computational and applied mathematics with distinction 🌟📘.

Taekyun Kim | Pure Mathematics | Best Researcher Award

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Prof. Taekyun Kim | Pure Mathematics | Best Researcher Award

Professor at Kwangwoon University, South Korea

Prof. Taekyun Kim is a distinguished mathematician specializing in number theory, p-adic analysis, and q-series. Currently a professor at Kwangwoon University, he has made significant contributions to mathematical research, earning recognition as a Highly Cited Researcher (2017) by Web of Science and a Highly Effective Researcher (2016) by Clarivate Analytics. He has published extensively in SCI and SCOPUS-indexed journals and authored several mathematics textbooks. His research has been supported by multiple grants from Kwangwoon University and the National Research Foundation of Korea (NRF). Prof. Kim also serves as an editor for prestigious journals such as Symmetry (MDPI), Mathematics (MDPI), and Advances in Difference Equations (Springer). He has received numerous awards, including the Excellent Teaching Award (2018) and the Grand Prize of Knowledge Creation (2014). His academic leadership and impactful research establish him as a leading figure in the mathematical community.

Professional Profile 

Google Scholar
Scopus Profile

Education

Prof. Taekyun Kim earned his B.S. in Mathematics from Kyungpook National University, Republic of Korea, in 1987. He continued his studies at the same institution, obtaining an M.S. in Mathematics in 1989. In 1994, he completed his Ph.D. in Mathematics at Kyushu University, Japan, specializing in number theory under the supervision of Prof. Dr. Katsumi Shiratani. His doctoral research focused on the q-analogue of p-adic log-gamma functions and L-functions, which laid the foundation for his future work in p-adic analysis and q-series. His strong educational background in both Korean and Japanese institutions equipped him with a deep understanding of mathematical structures, enabling him to make significant contributions to the field. His studies in p-adic number theory, special functions, and mathematical identities have shaped his extensive research career, influencing many subsequent developments in these areas.

Professional Experience

Prof. Taekyun Kim has had an extensive academic career spanning over three decades. He has been a Professor at Kwangwoon University since 2008, actively contributing to research and teaching in mathematics. From 2015 to 2019, he also served as a Chair Professor at Tianjin Polytechnic University, expanding his academic influence internationally. Prior to his tenure at Kwangwoon University, he held positions at Kyungpook National University, Kongju National University, and the Republic of Korea Naval Academy, where he worked as a lecturer and research professor. His experience also includes research in topology and geometry at Kyungpook National University. Throughout his career, Prof. Kim has not only contributed to academia as an educator but also played a pivotal role in shaping the field of mathematics through editorial leadership in several prestigious journals. His professional journey reflects a strong commitment to both research excellence and academic mentorship.

Research Interest

Prof. Taekyun Kim’s research primarily focuses on number theory, p-adic analysis, q-series, and special functions. His work extensively explores the q-analogues of mathematical functions, Bernoulli numbers, Euler polynomials, and Carlitz-type q-Euler numbers, contributing significantly to modern mathematical theories. He has also conducted in-depth studies on p-adic q-integrals, non-Archimedean analysis, and combinatorial identities, which have broad applications in pure mathematics. His research interests extend to difference equations, fixed-point theory, and asymptotic behavior of mathematical functions, showing his versatility as a mathematician. Through numerous high-impact publications, he has enriched the understanding of algebraic and analytical structures, making his work valuable to mathematicians worldwide. His research is not only theoretical but also finds applications in engineering mathematics and computational methods, demonstrating his ability to bridge pure mathematics with applied sciences.

Awards and Honors

Prof. Taekyun Kim has received numerous prestigious awards in recognition of his outstanding contributions to mathematical research and education. In 2017, he was honored as a Highly Cited Researcher by Web of Science, highlighting his influence in the academic community. Similarly, in 2016, Clarivate Analytics recognized him as a Highly Effective Researcher, emphasizing the global impact of his work. His teaching excellence was acknowledged with the Excellent Teaching Award (2018) at Kwangwoon University. Additionally, he received the Grand Prize of Knowledge Creation (2014) from the Future Creation Science Department for his innovative contributions to mathematical research. Over the years, he has also been awarded multiple research grants from Kwangwoon University and the National Research Foundation of Korea (NRF). These accolades reflect his exceptional dedication to advancing mathematics through research, teaching, and academic leadership.

Conclusion

Prof. Taekyun Kim is an exceptional mathematician, researcher, and academic leader with a distinguished career spanning over three decades. His extensive research in number theory, p-adic analysis, and q-series has made a significant impact in the mathematical community. His professional experience includes teaching at top universities, serving as an editor for multiple high-impact journals, and securing research grants to support his work. Recognized globally for his influential publications and innovative contributions, he has received prestigious awards for both his research and teaching. His dedication to mathematics is evident in his numerous publications, books, and editorial roles, making him a highly respected figure in his field. As a mentor, researcher, and thought leader, Prof. Kim continues to inspire future generations of mathematicians, solidifying his legacy as a leading scholar in modern mathematical research.

Publications Top Noted

  • Title: Probabilistic Degenerate Laguerre Polynomials with Random Variables
    Authors: L. Luo, Y. Ma, T.G. Kim, W. Liu
    Year: 2024
    Source: Russian Journal of Mathematical Physics

  • Title: Probabilistic Degenerate Fubini Polynomials Associated with Random Variables
    Authors: R. Xu, T.G. Kim, D.S. Kim, Y. Ma
    Year: 2024
    Citations: 12
    Source: Journal of Nonlinear Mathematical Physics

  • Title: Explicit Formulas for Probabilistic Multi-Poly-Bernoulli Polynomials and Numbers
    Authors: T.G. Kim, D.S. Kim
    Year: 2024
    Citations: 11
    Source: Russian Journal of Mathematical Physics

  • Title: Generalization of Spivey’s Recurrence Relation
    Authors: T.G. Kim, D.S. Kim
    Year: 2024
    Citations: 18
    Source: Russian Journal of Mathematical Physics

  • Title: Study on Discrete Degenerate Bell Distributions with Two Parameters
    Authors: T.G. Kim, D.S. Kim, H. Kim
    Year: 2024
    Citations: 4
    Source: Georgian Mathematical Journal

  • Title: Probabilistic Bernoulli and Euler Polynomials
    Authors: T.G. Kim, D.S. Kim
    Year: 2024
    Citations: 24
    Source: Russian Journal of Mathematical Physics

  • Title: A Note on Certain Type of Generating Functions
    Authors: T.G. Kim, J.L. López-Bonilla, P. Siva Kota Reddy
    Year: 2024
    Source: South East Asian Journal of Mathematics and Mathematical Sciences

  • Title: Color Partitions and Gandhi’s Recurrence Relation
    Authors: J.D. Bulnes, M. Alegri, T.G. Kim, J.L. López-Bonilla
    Year: 2024
    Source: Proceedings of the Jangjeon Mathematical Society

  • Title: Probabilistic Degenerate Central Bell Polynomials
    Authors: L. Chen, T.G. Kim, D.S. Kim, H. Lee, S. Lee
    Year: 2024
    Citations: 9
    Source: Mathematical and Computer Modelling of Dynamical Systems

  • Title: Probabilistic Degenerate Bernoulli and Degenerate Euler Polynomials
    Authors: L. Luo, T.G. Kim, D.S. Kim, Y. Ma
    Year: 2024
    Citations: 10
    Source: Mathematical and Computer Modelling of Dynamical Systems

 

Felix Sadyrbaev | Applied Mathematics | Best Researcher Award

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Prof. Felix Sadyrbaev | Applied Mathematics | Best Researcher Award

Researcher at Institute of Mathematics and Computer Science, University of Latvia (LU MII abbreviated), Latvia

Professor Felix Sadyrbaev is a distinguished mathematician specializing in dynamical systems, boundary value problems, and mathematical modeling, particularly in network theory and gene regulatory networks. He earned his Ph.D. from Belorussian State University (1982) and completed his habilitation at Latvian State University (1995). Currently, he serves as the Head of Laboratory at the Institute of Mathematics and Computer Science, University of Latvia, and as a Professor and Director of the Doctorate Program in Mathematics at Daugavpils University. With over 190 scholarly publications and active participation in multiple International Congresses of Mathematicians, he has significantly contributed to mathematical research and education. A member of the Latvian and American Mathematical Societies, he also serves on editorial boards of international mathematical journals. Recognized for his contributions, he was elected a Full Member of the Academy of Sciences of Latvia in 2021, further solidifying his impact on the global mathematical community.

Professional Profile 

Scopus Profile
ORCID Profile

Education

Professor Felix Sadyrbaev completed his undergraduate studies at Latvian State University (Riga, former USSR) and later pursued his Ph.D. in Mathematics at Belorussian State University (Minsk) in 1982. His doctoral research focused on dynamical systems, particularly boundary value problems and qualitative theory. In 1995, he earned his habilitation from Latvian State University, further advancing his expertise in mathematical modeling and optimization theory. His academic journey reflects a strong foundation in both theoretical and applied mathematics, enabling him to contribute significantly to various research domains. His education in leading institutions of the former USSR provided him with rigorous training in mathematical analysis, which has been instrumental in shaping his research career. Over the years, his academic background has allowed him to bridge different areas of mathematics, making significant contributions to network theory, gene regulatory networks, and mathematical optimization. His expertise continues to drive innovative research in applied and theoretical mathematics.

Professional Experience

Professor Sadyrbaev has had a distinguished career in academia and research spanning over four decades. Since 1978, he has been affiliated with the Institute of Mathematics and Computer Science at the University of Latvia, where he currently serves as the Head of Laboratory. In 1999, he joined Daugavpils University as a Professor and Director of the Doctorate Program in Mathematics, contributing significantly to the academic development of future researchers. His leadership roles have involved mentoring Ph.D. students, directing mathematical research initiatives, and fostering collaborations with international institutions. As an expert in dynamical systems and mathematical modeling, he has played a key role in advancing the field both locally and globally. His participation in international awards and research projects underscores his commitment to academic excellence. His long-standing association with multiple institutions highlights his dedication to fostering innovation, research collaboration, and the advancement of mathematical sciences.

Research Interest

Professor Sadyrbaev’s research interests lie in the areas of dynamical systems, boundary value problems, and mathematical modeling, with a strong focus on network theory and gene regulatory networks. His work in qualitative theory and optimization has been instrumental in advancing mathematical methods for solving complex real-world problems. He has contributed significantly to differential equations, stability analysis, and nonlinear dynamics, providing insights into critical mathematical frameworks. His interdisciplinary approach bridges applied mathematics, computational techniques, and theoretical modeling, making his research highly relevant across various scientific domains. His contributions to mathematical modeling in biology and engineering have led to significant applications, particularly in understanding complex network systems. With over 190 publications and numerous plenary talks, his research has influenced both academia and industry. His ongoing work continues to explore innovative mathematical methods for solving contemporary challenges, reinforcing his impact on the global mathematical community.

Awards and Honors

Professor Sadyrbaev has received prestigious recognition for his outstanding contributions to mathematics. In 2021, he was elected a Full Member of the Academy of Sciences of Latvia, a testament to his significant impact on mathematical research and education. His participation in major International Congresses of Mathematicians (ICM) across different countries, including Berlin, Beijing, Bangalore, Seoul, and São Paulo, highlights his global academic influence. He has also served as a delegate to the International Mathematical Union (IMU) General Assembly, representing the Latvian Mathematical Society in key international discussions. Additionally, he is a member of the Latvian Mathematical Society and the American Mathematical Society, further cementing his standing in the international mathematical community. His editorial board memberships in several international mathematical journals reflect his role in shaping contemporary mathematical research. His numerous honors underscore his dedication to advancing mathematical sciences through research, mentorship, and academic leadership.

Conclusion

Professor Felix Sadyrbaev is a highly accomplished mathematician with extensive contributions to dynamical systems, mathematical modeling, and network theory. His distinguished career spans over four decades, with significant roles in research, academic leadership, and international collaborations. His election as a Full Member of the Academy of Sciences of Latvia, numerous publications, and participation in prestigious international congresses solidify his reputation as a leading expert in his field. His influence extends beyond research, as he plays a key role in mentoring future mathematicians and fostering interdisciplinary collaborations. As a respected figure in the mathematical community, his work continues to shape contemporary mathematical theory and applications. Through his editorial roles, award participation, and research impact, he remains a driving force in the advancement of mathematical sciences. His remarkable career serves as an inspiration for young researchers and highlights the importance of mathematics in solving real-world challenges.

Publications Top Noted

  • On differential equations with exponential nonlinearities

    • Authors: Armands Gritsans, Felix Sadyrbaev
    • Year: 2025
    • Source: Applied Numerical Mathematics

  • Remarks on Modeling of Neural Networks

    • Authors: Felix Sadyrbaev
    • Year: [No year mentioned]
    • Source: [No source information available]

  • In Search of Chaos in Genetic Systems

    • Authors: Olga Kozlovska, Felix Sadyrbaev
    • Year: 2024
    • Source: Chaos Theory and Applications

  • Comparative Analysis of Models of Genetic and Neuronal Networks

    • Authors: Diana Ogorelova, Felix Sadyrbaev
    • Year: 2024
    • Source: Mathematical Modelling and Analysis

  • Editorial: Mathematical modeling of gene networks

    • Authors: Jacques François Demongeot, Felix Sadyrbaev, Inna Samuilik
    • Year: 2024
    • Source: Frontiers in Applied Mathematics and Statistics

  • On Period Annuli and Induced Chaos

    • Authors: Svetlana Atslega, Olga Kozlovska, Felix Sadyrbaev
    • Year: 2024
    • Source: WSEAS Transactions on Systems

  • A New 3D Chaotic Attractor in Gene Regulatory Network

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Fernando Tohme | Interdisciplinary Mathematics | Best Researcher Award

Posted on by Math Scientist

Prof. Fernando Tohme | Interdisciplinary Mathematics | Best Researcher Award

Profesor Titular – Investigador Principal at Universidad Nacional del Sur- Conicet, Argentina

Professor Fernando Abel Tohmé is a distinguished researcher and Full Professor at the Universidad Nacional del Sur, Argentina, and a Principal Researcher at CONICET. With expertise spanning game theory, mathematical economics, optimization, and computational sciences, his interdisciplinary contributions have had a significant impact. He has held prestigious visiting positions at institutions such as UC Berkeley, Washington University in St. Louis, and the University of Luxembourg. As Director of the Ph.D. program in Natural, Mathematical, and Computational Sciences at GCAS College, Dublin, he plays a pivotal role in academic mentorship. His extensive publication record includes books, book chapters, and journal articles in high-impact areas like abductive cognition, economic modeling, and scheduling problems. With international collaborations and a strong research background, Professor Tohmé is a leading figure in applied mathematics and economic theory. His work continues to bridge theoretical advancements with real-world applications, shaping the future of mathematical sciences.

Professional Profile 

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Education

Professor Fernando Abel Tohmé holds a Licenciado en Matemática (equivalent to a combined BS and MS) from the Universidad Nacional del Sur, earned in 1987. He later pursued a Doctorate in Economics at the same institution, completing his Ph.D. in 1995 under the supervision of Professor Rolf Mantel. His doctoral thesis, titled Meta-Rationality and General Equilibrium, laid the foundation for his interdisciplinary approach, combining mathematical rigor with economic theory. His academic journey reflects a strong mathematical background applied to economic and computational sciences. This solid educational foundation has enabled him to make significant contributions in areas such as game theory, optimization, and modeling. His studies have shaped his research in decision-making processes, mathematical structures in economics, and computational methods, positioning him as a leading scholar in his field. His educational achievements have played a crucial role in his subsequent professional career and research advancements.

Professional Experience

Professor Tohmé has built a distinguished academic and research career, currently serving as a Full Professor at the Universidad Nacional del Sur in Argentina and as a Principal Researcher at CONICET. He has been actively involved in teaching undergraduate and graduate courses on game theory and microeconomic theory since 1993. His international academic engagements include visiting positions at Washington University in St. Louis, UC Berkeley, the British University in Dubai, and the University of Luxembourg. Additionally, he has been an invited professor at institutions in Brazil, Ireland, and the United States. His leadership extends to directing the Ph.D. program in Natural, Mathematical, and Computational Sciences at GCAS College in Dublin. His global professional experience underscores his role as a thought leader, fostering international collaborations in mathematics, economics, and computational sciences. Through his extensive teaching and research career, he has significantly influenced both theoretical advancements and practical applications in his fields of expertise.

Research Interests

Professor Tohmé’s research interests span a wide range of interdisciplinary topics, including game theory, mathematical economics, optimization, computational modeling, and abductive reasoning. He has made notable contributions to decision theory, formal logic, and economic modeling, particularly in the context of general equilibrium and meta-rationality. His work often integrates mathematical structures such as category theory into economic and computational models, pushing the boundaries of traditional analysis. His recent research explores applications of abductive cognition in econometrics and industry optimization, highlighting his ability to bridge theoretical and applied domains. He has also contributed to studies on scheduling problems in Industry 4.0, demonstrating his commitment to real-world problem-solving. His interdisciplinary approach enables him to collaborate with experts in mathematics, computer science, and philosophy, leading to high-impact research publications. Professor Tohmé’s diverse research interests continue to shape advancements in applied mathematics and economic theory, influencing scholars and practitioners alike.

Awards and Honors

Throughout his career, Professor Tohmé has received prestigious recognitions for his scholarly contributions. He was awarded a Fulbright Scholarship in 2003, allowing him to conduct research at UC Berkeley’s Group of Logic and Methodology of Science. His affiliations with esteemed institutions, including CONICET and GCAS College, reflect his academic excellence and leadership in the global research community. He has also been invited as a senior researcher at the Topos Institute in Berkeley and has contributed as an editor for Springer Nature’s award proceedings. His research impact is further recognized through his numerous international collaborations and invitations as a keynote speaker at academic awards. His work has been cited extensively, demonstrating its influence in the fields of mathematics, economics, and computational sciences. These honors highlight his contributions to advancing knowledge and fostering academic exchange across disciplines. His continued recognition underscores his role as a leading figure in mathematical and economic research.

Conclusion

Professor Fernando Tohmé’s career is a testament to his profound impact on mathematics, economics, and computational sciences. With a strong educational foundation, extensive professional experience, and diverse research interests, he has established himself as a global academic leader. His work integrates mathematical theory with economic and computational applications, fostering interdisciplinary advancements. His teaching and mentorship roles have influenced numerous students and researchers, while his international collaborations have expanded the reach of his research contributions. Recognized through prestigious awards and academic honors, he continues to shape the future of economic modeling, decision theory, and applied mathematics. As a researcher with a vision for theoretical innovation and practical applications, Professor Tohmé remains a key figure in his field. His dedication to advancing knowledge and solving complex problems ensures that his work will have a lasting impact on both academia and industry.

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