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 🌟📘.

Claudia Pacurar | Mathematical Engineering | Best Researcher Award

Posted on 07/05/202509/05/2025 by Math Scientist

Prof. Dr. Claudia Pacurar | Mathematical Engineering | Best Researcher Award

Professor/Director at Technical University of Cluj-Napoca, Romania

Professor Claudia Păcurar 🎓, a distinguished academic at the Technical University of Cluj-Napoca 🇷🇴, is a trailblazer in electrical engineering ⚡. With over two decades of experience in academia, she has progressed from assistant professor to full professor, demonstrating exemplary leadership 📘. Her research spans electromagnetic field modeling, spiral inductors, wireless power transfer, and antenna design 📡. She has authored 7 books 📚 and over 150 scientific papers, including 57 ISI-indexed works, showcasing her dedication to innovation and scientific excellence 🧠. Fluent in multiple languages 🌍 and a skilled communicator, she actively contributes to national and international conferences and research projects 🌐. Her technical acumen, organizational finesse, and commitment to student success make her a respected mentor and influential scholar 👩‍🏫. With a visionary focus on advanced electrotechnics and practical applications, Professor Păcurar continues to shape the future of engineering education and research 🔬🚀.

Professional Profile

Google Scholar
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🎓 Education

Professor Claudia Păcurar’s academic path reflects a lifelong devotion to mastering the intricacies of electrical engineering and applied sciences. She earned her undergraduate degree from the Technical University of Cluj-Napoca in 2001, followed by a PhD in Electrical Engineering in 2008 with a thesis on micrometer spiral inductors 🔁. Her commitment to scholarly advancement led her to earn the prestigious Habilitation Degree in 2022, a milestone that reflects her qualification to mentor doctoral students and lead pioneering research. Throughout her educational trajectory, she has balanced foundational theory with practical innovation, combining mathematics 🧮, electromagnetism 🌐, and computational design into a cohesive and forward-thinking academic philosophy. Her deep understanding of electromagnetic systems and smart technologies has laid a firm foundation for a transformative career in academia, innovation, and engineering leadership 🚀.

👩‍💼 Professional Experience

Professor Păcurar has steadily ascended the academic ranks at the Technical University of Cluj-Napoca, demonstrating versatility, vision, and value. Since joining in 2001 as a teaching assistant, she progressed to Lecturer, then Associate Professor, and ultimately became a Full Professor in 2022 🏛️. Her administrative roles—including Director of the Alumni Department—highlight her ability to harmonize academic excellence with institutional strategy and student engagement 🎯. She has served as a project manager, course coordinator, and technical organizer for international conferences, showcasing her multifaceted expertise and leadership capabilities 🔧. Beyond lectures and laboratories, she has mentored countless students, led educational initiatives, and co-developed cutting-edge software for electromagnetic design tools 💻. Professor Păcurar’s professional trajectory embodies dedication to teaching, research, and engineering advancement, underscoring her status as a pillar of the university and a prominent contributor to the broader scientific community 🌍.

🔬 Research Interest

Professor Păcurar’s research is rooted in the magnetic forces that power modern technologies and the numerical models that optimize them. Her interests center around electromagnetic field theory, the design and simulation of planar spiral inductors, antennas 📡, filters, and wireless power transfer systems ⚙️. A specialist in numerical modeling, she integrates advanced simulation methods with real-world engineering problems to craft innovative, energy-efficient solutions. Her work bridges the theoretical and the practical, often involving in-house software development such as CIBSOC and ABSIF for inductor optimization 💡. She explores nonlinear behavior, eddy currents, optimization algorithms, and smart system integration—all aligned with the growing demand for sustainable and intelligent electronics 🌱. Her interdisciplinary approach connects electronics, computer-aided design, and materials science, enabling her to address emerging challenges in telecommunication, medical devices, and energy systems with accuracy, elegance, and originality 🎇.

🏅 Awards and Honors

Professor Păcurar has earned well-deserved recognition for her academic and research accomplishments through numerous accolades. She was honored with the Diploma of Excellence by the Technical University of Cluj-Napoca for her substantial contributions to research, teaching, and university development 🎓. Her work has also received attention at national and international levels, evidenced by frequent invitations to serve as conference chair, reviewer, and program committee member across various global events 🌍. Her publications—especially those indexed by ISI and Scopus—have garnered citations and acclaim, confirming the high impact of her work 📖. Her dedication to educational excellence, innovation, and mentorship has made her a role model within the engineering faculty 👩‍🏫. These distinctions are not merely titles, but reflections of her continual drive to push scientific boundaries and inspire future generations of engineers and researchers 🔭.

Conclusion

Professor Claudia Păcurar stands as a beacon of academic integrity, research innovation, and educational leadership. From her formative years as a scholar to her current stature as a full professor and institutional leader, she has consistently exemplified excellence, creativity, and service 👩‍🔬. Her interdisciplinary mindset, combined with technical precision and a passion for teaching, positions her at the forefront of electromagnetic and wireless systems research 📶. As an author, mentor, and software innovator, she has made a lasting impact on students, colleagues, and the scientific community alike. Her journey, defined by curiosity and achievement, continues to fuel advancements in engineering education and applied technology 🔋. Professor Păcurar is not just shaping circuits—she is shaping minds, systems, and the future of intelligent infrastructure with every line of code, formula, and lecture 💫.

Publications Top Notes

📘 Title: Inductance calculation and layout optimization for planar spiral inductors
Authors: C. Pacurar, V. Topa, A. Racasan, C. Munteanu
Year: 2012
Citations: 37
Source: 13th International Conference on Optimization of Electrical and Electronic Equipment (OPTIM), 2012

📘 Title: Studies of Inductance Variation for Square Spiral Inductors using CIBSOC Software
Authors: C. Pacurar, V. Topa, C. Munteanu, A. Racasan, C. Hebedean
Year: 2013
Citations: 30
Source: Environmental Engineering & Management Journal (EEMJ), Vol. 12, Issue 6

📘 Title: Minimization of the equivalent parallel capacitance in planar magnetic EMI filters
Authors: A. Racasan, C. Munteanu, V. Tapa, C. Pacurar, C. Hebedean
Year: 2012
Citations: 17
Source: International Conference and Exposition on Electrical and Power Engineering (EPE), 2012

📘 Title: Spiral inductors inductance computation and layout optimization
Authors: C. Păcurar, V. Ţopa, C. Munteanu, A. Racasan, C. Hebedean
Year: 2012
Citations: 15
Source: International Conference and Exposition on Electrical and Power Engineering (EPE), 2012

📘 Title: High frequency analysis and optimization of planar spiral inductors used in microelectronic circuits
Authors: C. Pacurar, V. Topa, A. Giurgiuman, C. Munteanu, C. Constantinescu, …
Year: 2021
Citations: 14
Source: Electronics, Vol. 10, Issue 23, Article 2897

📘 Title: High Frequency Analysis of the Vivaldi Antenna Parameters
Authors: C. Constantinescu, C. Munteanu, L. Grindei, A. Giurgiuman, C. Pacurar, …
Year: 2020
Citations: 3
Source: 2020 International Conference and Exposition on Electrical and Power Engineering

📘 Title: High gain improved planar Yagi Uda antenna for 2.4 GHz applications and its influence on human tissues
Authors: C. Constantinescu, C. Pacurar, A. Giurgiuman, C. Munteanu, S. Andreica, …
Year: 2023
Citations: 10
Source: Applied Sciences, Vol. 13, Issue 11, Article 6678

📘 Title: Application of Windings Shifting for the Optimization of Planar Structures
Authors: C. Hebedean, C. Munteanu, A. Racasan, C. Pacurar
Year: 2013
Citations: 10
Source: Environmental Engineering & Management Journal (EEMJ), Vol. 12, Issue 6

📘 Title: Filter geometry optimization for the conduction electromagnetic interferences suppression
Authors: A. Racasan, C. Munteanu, V. Topa, C. Pacurar, C. Hebedean
Year: 2014
Citations: 9
Source: 2014 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM)

📘 Title: Minimization of the equivalent parallel capacitance in planar magnetic integrated structures
Authors: A. Racasan, C. Munteanu, V. Topa, C. Pacurar, C. Hebedean
Year: 2012
Citations: 9
Source: 13th International Conference on Optimization of Electrical and Electronic Equipment (OPTIM), 2012

📘 Title: Optimum geometry for planar structures regarding their loss factor
Authors: C. Hebedean, C. Munteanu, R. Adina, C. Pacurar
Year: 2012
Citations: 9
Source: 7th International Conference and Exposition on Electrical and Power Engineering (EPE)

📘 Title: Advances on parasitic capacitance reduction of EMI filters
Authors: A. Racasan, C. Munteanu, V. Topa, C. Pacurar, C. Hebedean, S. Lup
Year: 2010
Citations: 9
Source: Annals of the University of Craiova, Electrical Engineering series

📘 Title: High frequency analysis of bowtie antennas
Authors: C. Constantinescu, C. Munteanu, C. Pacurar, A. Giurgiuman, M. Gliga, …
Year: 2019
Citations: 7
Source: 2019 11th International Symposium on Advanced Topics in Electrical Engineering (ATEE)

📘 Title: Analysis, identification and minimization of the parasitic effects of the multilayer spiral inductors
Authors: A. Racasan, C. Munteanu, C. Pacurar, V. Topa, C. Constantinescu, F. Pop, …
Year: 2016
Citations: 7
Source: 2016 International Conference and Exposition on Electrical and Power Engineering (EPE)

📘 Title: The influence of parameters on the parasitic capacitance values in a planar transformer
Authors: C. Hebedean, C. Munteanu, A. Racasan, C. Pacurar, D. Augustin
Year: 2015
Citations: 7
Source: 2015 9th International Symposium on Advanced Topics in Electrical Engineering (ATEE)

📘 Title: Technologies to improve high frequency characteristics of integrated EMI filters
Authors: A. Racasan, C. Munteanu, V. Topa, C. Racasan, O. Antonescu
Year: 2007
Citations: 7
Source: 6th International Conference on Electromechanical and Power Systems, Chisinau

Michael Todinov | Mathematical Engineering | Best Researcher Award

Posted on 25/04/202525/04/2025 by Math Scientist

Prof. Michael Todinov | Mathematical Engineering | Best Researcher Award

Professor in Mechanical Engineering at Oxford Brookes University, School of Engineering, Computing and Mathematics, United Kingdom

Professor Michael Todinov is a trailblazing mind in the realm of applied mathematics, reliability engineering, and risk analysis 🌐📊. Renowned for his pioneering contributions to flow networks, reliability modeling, and probabilistic safety assessment, he has authored numerous influential papers and books that have reshaped contemporary engineering thinking 📘⚙️. With a unique approach that blends mathematical innovation with practical utility, Prof. Todinov has introduced novel methodologies for optimizing system performance under uncertainty and complexity 🔍🔧. His work is widely applied across infrastructure, manufacturing, and safety-critical systems, cementing his status as a visionary scholar and problem-solver 🏗️🧠. As a respected educator and thought leader, he continues to inspire a new generation of engineers and researchers to embrace analytical rigor with creative foresight 🎓💡. Driven by curiosity and excellence, Prof. Todinov’s legacy is a testament to the power of mathematical insight in transforming real-world systems 🌟📐.

Professional Profile

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🎓 Education

Prof. Michael Todinov’s educational journey 🌍 began with a First-Class Honours degree in Mechanical Engineering from the Technical University of Sofia 🎓, where his early fascination with precision and systems emerged. Driven by intellectual curiosity, he pursued a PhD at the University of Birmingham—an extraordinary accomplishment completed without formal supervision, based solely on published research 📚. Later, he earned a Doctor of Engineering (DEng), the UK’s equivalent of a DSc, for his pioneering work in probabilistic modeling and system reliability 🔍. This academic evolution reflects a rare synthesis of engineering insight ⚙️ and mathematical depth ➕, enabling him to approach challenges from a multidisciplinary perspective. His educational path has been marked by rigor, creativity, and trailblazing scholarship—qualities that continue to define his professional excellence today. 🧠

💼 Professional Experience

With over 30 years of experience 🌟, Prof. Todinov has held key roles across UK institutions, including his current position as Professor at Oxford Brookes University 🎓. Earlier, he led groundbreaking research as Head of Risk and Reliability at Cranfield University and served as a Research Scientist at the University of Birmingham 🧪. His professional journey blends academic excellence with real-world innovation 🌐, including collaborations with major organizations like BP, Total, and KIMM. His work spans failure modeling, flow network optimization, and engineering safety, using cutting-edge algorithms and simulation techniques 🧮. Whether developing industry solutions or mentoring PhD students 🎓, Prof. Todinov brings a unique fusion of creativity, logic, and leadership. His roles reflect a consistent dedication to advancing applied mathematics and making theory work in practice ⚒️.

🔬 Research Interests

Prof. Todinov’s research is a deep dive into the world of probability, optimization, and system reliability 🎯. He develops new theories and practical models that redefine how we assess risks and design safer, more efficient systems 💡. His focus areas include probabilistic risk reduction, algebraic inequalities, flow networks, and fracture mechanics 🧱. Notably, he challenged and corrected traditional reliability models 🔄, offering innovative alternatives with real-world impact. His algorithm for maximizing flow through damaged networks is the fastest known, making it vital for industries like energy ⚡ and infrastructure 🚧. He also introduced methods for reverse-engineering algebraic inequalities—a breakthrough in mathematical logic 🧠. Prof. Todinov’s work is both foundational and futuristic, balancing theoretical brilliance with powerful applications that influence global engineering and safety practices. 🔧

🏅 Awards and Honors

Prof. Todinov has been recognized globally for his exceptional work 🥇. He received honors from the Institution of Mechanical Engineers (UK) for his influential contributions to engineering risk reduction 🛡️. His Doctor of Engineering (DEng) was conferred in acknowledgment of his career-long breakthroughs in mathematical modeling, an award rarely granted and held by only a select few 🔝. His books—published by Wiley, Elsevier, and CRC Press—have become foundational references across academic and industrial communities 📖. He’s a frequent keynote speaker, journal editorial board member, and award-winning educator 🎤📘. His blend of academic impact and practical innovation has earned him international respect, with accolades that confirm his status as a pioneer in risk science and reliability engineering ⚙️. These honors reflect not just achievement, but lasting influence.

Conclusion

Prof. Michael Todinov stands as a brilliant example of how mathematics and engineering can shape real-world systems 🌐. His research has led to smarter designs, safer infrastructures, and more reliable systems worldwide 🛠️. By blending advanced theory with hands-on solutions, he’s redefined what it means to be an applied mathematician and engineer 🚀. Whether leading research, inspiring students 🎓, or developing the next breakthrough algorithm, his impact is wide-reaching and deeply rooted. As a thinker, educator, and innovator 💬, he’s left a legacy that transcends borders and disciplines. His work continues to elevate global standards in risk management, optimization, and system resilience, earning him a well-deserved place among the world’s top research minds 🧩. Prof. Todinov’s journey reminds us that the intersection of logic and creativity is where true innovation thrives. ✨

Publications Top Notes

📖 Title: Reverse Engineering of Algebraic Inequalities for System Reliability Predictions and Enhancing Processes in Engineering
✍️ Authors: M.T. Todinov, Michael Todorov
📅 Year: 2024
🔢 Citations: 7
📖 Source: IEEE Transactions on Reliability 📰

📖 Title: Lightweight Designs and Improving the Load-Bearing Capacity of Structures by the Method of Aggregation
✍️ Authors: M.T. Todinov, Michael Todorov
📅 Year: 2024
🔢 Citations: 1
📖 Source: Mathematics 📐

📖 Title: Enhancing the Reliability of Series-Parallel Systems With Multiple Redundancies by Using System-Reliability Inequalities
✍️ Authors: M.T. Todinov, Michael Todorov
📅 Year: 2023
🔢 Citations: 2
📖 Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering 🛠️

📖 Title: Reliability-Related Interpretations of Algebraic Inequalities
✍️ Authors: M.T. Todinov, Michael Todorov
📅 Year: 2023
🔢 Citations: 5
📖 Source: IEEE Transactions on Reliability 🔧

📖 Title: Probabilistic Interpretation of Algebraic Inequalities Related to Reliability and Risk
✍️ Authors: M.T. Todinov, Michael Todorov
📅 Year: 2023
🔢 Citations: 1
📖 Source: Quality and Reliability Engineering International 📊

📖 Title: Improving Reliability by Increasing the Level of Balancing and by Substitution
✍️ Authors: M.T. Todinov, Michael Todorov
📅 Year: 2023
🔢 Citations: 1
📖 Source: Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science ⚙️

📖 Title: Can System Reliability Be Predicted from Average Component Reliabilities?
✍️ Authors: M.T. Todinov, Michael Todorov
📅 Year: 2023
🔢 Citations: 1
📖 Source: Safety and Reliability 🔒

📖 Title: Improving System Reliability and the Probability of Selecting Reliable Components by Interpreting Algebraic Inequalities
✍️ Authors: M.T. Todinov, Michael Todorov
📅 Year: 2023
📖 Source: International Journal of Modelling, Identification and Control 🎯

📖 Title: On the Use of Analytical Inequalities for Improving Reliability and Reducing Risk
✍️ Authors: M.T. Todinov, Michael Todorov
📅 Year: 2023
📖 Source: International Journal of Risk Assessment and Management ⚖️

📖 Title: Risk-based Reliability Analysis and Generic Principles for Risk Reduction
✍️ Authors: M.T. Todinov
📅 Year: 2006
🔢 Citations: 114
📖 Source: Elsevier 📈

📖 Title: On Some Limitations of the Johnson–Mehl–Avrami–Kolmogorov Equation
✍️ Authors: M.T. Todinov
📅 Year: 2000
🔢 Citations: 80
📖 Source: Acta Materialia 🧪

📖 Title: Necessary and Sufficient Condition for Additivity in the Sense of the Palmgren–Miner Rule
✍️ Authors: M.T. Todinov
📅 Year: 2001
🔢 Citations: 75
📖 Source: Computational Materials Science 🔬

📖 Title: Is Weibull Distribution the Correct Model for Predicting Probability of Failure Initiated by Non-Interacting Flaws?
✍️ Authors: M.T. Todinov
📅 Year: 2009
🔢 Citations: 58
📖 Source: International Journal of Solids and Structures 🏗️

📖 Title: Flow Networks: Analysis and Optimization of Repairable Flow Networks, Networks with Disturbed Flows, Static Flow Networks and Reliability Networks
✍️ Authors: M.T. Todinov
📅 Year: 2013
🔢 Citations: 54
📖 Source: Newnes 🌐

Sohail Ahmad Khan | Applied Mathematics | Young Scientist Award

Posted on 23/04/202523/04/2025 by Math Scientist

Dr. Sohail Ahmad Khan | Applied Mathematics | Young Scientist Award

Research Associate at Quaid I Azam University Islamabad, Pakistan

Dr. Sohail Ahmad Khan 🌍📘, a distinguished researcher from the Department of Mathematics at Quaid-i-Azam University, Islamabad, stands among the world’s Top 2% scientists as recognized by Stanford University 🌟📊. With a PhD in Applied Mathematics (2024) and over 127 ISI-indexed publications, his work in fluid mechanics and nanomaterial dynamics 💧🧪 has garnered global acclaim. Boasting an H-index of 30 and a cumulative impact factor exceeding 500 🔬📈, Dr. Khan is a prolific author and a dedicated reviewer for over 120 high-impact journals. His academic excellence has been honored with multiple international awards 🏅🌐, fellowships, and top-cited recognitions. As an organizer and contributor to major scientific forums, he consistently drives forward environmental and thermal engineering research 🌱🔥. Dr. Khan’s dedication, interdisciplinary expertise, and visionary leadership mark him as an outstanding contender for the Young Scientist Award 🏆🔍.

Professional Profile

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Education 🎓📘

Dr. Sohail Ahmad Khan’s academic voyage began with a BSc in Mathematics & Physics from the University of Science and Technology, Bannu (2014), followed by an MSc (2017), MPhil (2019), and PhD in Applied Mathematics (2024) from Quaid-i-Azam University, Islamabad. His education reflects a deep-rooted passion for mathematical precision and applied problem-solving 🔍📐. Throughout his academic progression, Dr. Khan honed his expertise in fluid mechanics, nanomaterial dynamics, and nonlinear analysis, laying a solid foundation for a prolific research career. His consistent academic excellence earned him competitive fellowships at each level, reinforcing his stature as a devoted scholar. From foundational mechanics to advanced computational modeling, his scholastic path showcases an unwavering dedication to unraveling complex real-world phenomena through mathematical elegance 📊🔬.

Professional Experience 👨‍🏫💼

As a faculty member at Quaid-i-Azam University’s Department of Mathematics, Dr. Khan has played an instrumental role in shaping academic and research landscapes 🌐📚. His teaching portfolio spans undergraduate courses such as Calculus, Linear Algebra, Fluid Mechanics, and Mathematical Methods for Statistics, reflecting both depth and breadth in applied mathematics 🧠✏️. Beyond classroom instruction, he has actively participated in curriculum development, academic mentoring, and interdisciplinary collaboration. He’s also taken a leadership role in organizing several international conferences, promoting innovation and scholarly exchange across domains. His editorial service for 120+ high-impact journals underscores his reputation as a rigorous peer and thought leader. Dr. Khan’s professional engagements not only reflect his commitment to knowledge dissemination but also his pivotal role in nurturing the next generation of mathematicians and applied scientists 🌟📖.

Research Interests 🔬🧪

Dr. Sohail Ahmad Khan’s research pursuits orbit the intricate domains of fluid dynamics, nanomaterial science, thermal transport, and nonlinear partial differential equations 💧🌡️. His work primarily addresses real-world problems involving entropy generation, heat and mass transfer, magnetohydrodynamics, and radiative flow phenomena—topics critical to engineering, environmental science, and biophysics. His interdisciplinary flair merges applied mathematics with computational simulations, offering analytical solutions that bridge theory and practice 🧠💡. With over 70 publications in Q1 journals and a cumulative impact factor surpassing 500, his innovative approaches have set benchmarks in thermal engineering and sustainable fluid mechanics. Dr. Khan’s cutting-edge investigations not only advance mathematical frontiers but also contribute to addressing global challenges such as energy efficiency, climate impact, and biomedical transport systems 🌍💥.

Awards and Honors 🏅🌟

Dr. Khan’s excellence has been celebrated both nationally and internationally. Twice listed among the World’s Top 2% Scientists by Stanford University (2022, 2024) 🌍📊, he stands as a beacon of global impact. His accolades include the International Best Researcher Award, Young Scientist Award, and a prestigious Gold Medal for his PhD research in fluid mechanics 🥇🌀. He’s received the Chief Minister Education Endowment Scholarship, MPhil and PhD fellowships, and recognition for publishing top-cited articles in elite journals like ZAMM 📈📚. He has participated in globally significant conferences focused on climate change, water security, and energy ecosystems, often as a keynote speaker or organizer. These accolades underscore his scholarly brilliance, leadership, and sustained contribution to applied mathematical research. His honors not only validate his academic journey but inspire aspiring researchers to aim higher and pursue meaningful, high-impact inquiry 💫🔍.

Conclusion 🧾✅

Dr. Sohail Ahmad Khan exemplifies the spirit of innovation, academic rigor, and impactful research 🧠🏆. With a robust academic foundation, stellar research credentials, and numerous international accolades, he stands as an outstanding candidate for the Young Scientist Award. His influential work in applied mathematics, particularly fluid mechanics and nanomaterial modeling, addresses pressing scientific challenges and resonates across disciplines. Through mentoring, publication, and conference leadership, he continually uplifts the research ecosystem, both locally and globally 🌐📢. His remarkable scholarly output, collaborative ethos, and unwavering dedication to excellence position him not only as a formidable mathematician but also as a visionary leader in scientific advancement. In every dimension—education, research, service, and community engagement—Dr. Khan proves to be a paragon of academic excellence, richly deserving of recognition on the world stage 🏅🌍.

Publications Top Notes

🔬 TASA Formulation for Nonlinear Radiative Flow of Walter-B Nanoliquid Invoking Microorganism and Entropy Generation

Authors: T. Hayat, A. Razzaq, S.A. Khan, A. Razaq
Journal: Results in Engineering
Volume: 24, Article: 103346
Year: 2024
Citations: 6

☀️ Entropy Induced Flow Model for Solar Radiation Through Nanomaterials with Cubic Autocatalysis Reaction

Authors: A. Razaq, S.A. Khan, A. Alsaedi, T. Hayat
Journal: Journal of Magnetism and Magnetic Materials
Volume: 586, Article: 171172
Year: 2023
Citations: 6

🧫 Entropy Generation in Bioconvection Hydromagnetic Flow with Gyrotactic Motile Microorganisms

Authors: S.A. Khan, T. Hayat, A. Alsaedi
Journal: Nanoscale Advances
Volume: 5(18), Pages: 4863–4872
Year: 2023
Citations: 6

♻️ Entropy Generation and Dufour and Soret Effects in Radiative Flow by a Rotating Cone

Authors: S.A. Khan, T. Hayat, A. Alsaedi, S. Momani
Journal: Physica Scripta
Volume: 96(2), Article: 025209
Year: 2020
Citations: 6

🌡️ Entropy Generated Nonlinear Mixed Convective Beyond Constant Characteristics Nanomaterial Wedge Flow

Authors: A. Razaq, T. Hayat, S.A. Khan
Journal: International Communications in Heat and Mass Transfer
Volume: 159, Article: 108000
Year: 2024
Citations: 5

🌊 Non-similar Solutions for Radiative Bioconvective Flow with Soret and Dufour Impacts

Authors: M.W. Ahmad, T. Hayat, A. Alsaedi, S.A. Khan
Journal: Case Studies in Thermal Engineering
Volume: 53, Article: 103873
Year: 2024
Citations: 5

🔥 Thermal Energy Transport in Nanomaterial Flow with Modified Heat and Mass Transfer Laws

Authors: T. Hayat, A. Razaq, S.A. Khan, M.A. Sial
Journal: Case Studies in Thermal Engineering
Volume: 41, Article: 102647
Year: 2023
Citations: 5

💡 Radiative Bioconvective Walter-B Nanoliquid Flow with Soret and Dufour Effects

Authors: S.A. Khan, A. Razaq, T. Hayat, A. Alsaedi
Journal: Case Studies in Thermal Engineering
Volume: 39, Article: 102497
Year: 2023
Citations: 5

⚙️ Non-Newtonian Bioconvection in Sutterby Nanoliquid with Thermal Fluctuations and Radiation

Authors: T. Hayat, A. Razaq, S.A. Khan
Journal: Case Studies in Thermal Engineering
Volume: 37, Article: 102271
Year: 2022
Citations: 5

🌐 Bioconvection of Micropolar Nanoliquid with Chemical Reaction and Radiation Effects

Authors: S.A. Khan, A. Razaq, T. Hayat, A. Alsaedi
Journal: Journal of Materials Research and Technology
Volume: 23, Pages: 2889–2901
Year: 2023
Citations: 4

⚡ Entropy Generation in Reactive Nanofluid Flow with Frictional Heating and Magnetic Force

Authors: S.A. Khan, T. Hayat, A. Alsaedi
Journal: Physica Scripta
Volume: 96(2), Article: 025209
Year: 2020
Citations: 4

🌀 Bioconvective Nanofluid Flow Through a Rotating Disk Under Joule Heating

Authors: T. Hayat, A. Alsaedi, S.A. Khan
Journal: Journal of Molecular Liquids
Volume: 324, Article: 114717
Year: 2021
Citations: 4

💧 Analysis of Nanofluid Bioconvection in a Porous Medium with Joule Heating and Irreversibility

Authors: T. Hayat, S.A. Khan, A. Alsaedi
Journal: Journal of Molecular Liquids
Volume: 323, Article: 114617
Year: 2021
Citations: 4

🧪 Bio-Convection of Micropolar Nanoliquid in a Porous Media with Thermophoresis and Soret Effects

Authors: S.A. Khan, A. Alsaedi, T. Hayat
Journal: Journal of Materials Research and Technology
Volume: 21, Pages: 2037–2047
Year: 2022
Citations: 3

🔬 Entropy-Optimized Bio-Convective Flow of Nanofluid in a Porous Medium with Cattaneo–Christov Theory

Authors: T. Hayat, A. Alsaedi, S.A. Khan
Journal: International Journal of Heat and Mass Transfer
Volume: 180, Article: 121769
Year: 2021
Citations: 3

🌡️ Heat Transfer Characteristics in Nanofluid Flow with Thermal Radiation and Activation Energy

Authors: S.A. Khan, A. Razaq, T. Hayat
Journal: Physica Scripta
Volume: 97(2), Article: 025213
Year: 2022
Citations: 3

⚗️ Micropolar Nanofluid Bioconvection Over a Stretching Sheet with Joule Heating and Chemical Reaction

Authors: S.A. Khan, T. Hayat, A. Alsaedi
Journal: Case Studies in Thermal Engineering
Volume: 31, Article: 101815
Year: 2022
Citations: 3

🔥 Thermal Radiation and Magnetohydrodynamics in Bioconvective Nanofluid Flow Through Porous Media

Authors: S.A. Khan, A. Alsaedi, T. Hayat
Journal: Journal of Molecular Liquids
Volume: 337, Article: 116453
Year: 2021
Citations: 3

Chun Xu | Interdisciplinary Mathematics | Best Researcher Award

Posted on 21/04/202521/04/2025 by Math Scientist

Prof. Dr. Chun Xu | Interdisciplinary Mathematics | Best Researcher Award

Professor at Xinjiang University of Finance & Economics, China

Prof. Dr. Xu Chun 🎓, a distinguished scholar and PhD supervisor in the realm of Big Data Analysis and Applications 📊💡, exemplifies excellence in research and education. Earning his PhD from the University of Chinese Academy of Sciences in 2018, he has rapidly risen as a thought leader, recognized through the prestigious “Tianshan Talent” program 🌟. With over 40 impactful publications in leading journals 📚 and leadership of 13 major research projects, including those under the National Natural Science Foundation, Prof. Xu has significantly advanced data-driven innovation and technology. His accolades include top honors in national teaching and academic paper competitions 🏅, reflecting a rare fusion of pedagogical brilliance and scientific depth. Passionate about discovery, mentorship, and cross-disciplinary growth, he continues to inspire the scientific community with his visionary work and collaborative spirit 🤝. Prof. Xu Chun stands as a beacon of innovation, shaping the future of intelligent data applications.

Professional Profile

Scopus Profile

🎓 Education

Prof. Dr. Xu Chun’s academic path is a story of dedication and precision. He earned his PhD in Computer Application Technology from the prestigious University of Chinese Academy of Sciences in 2018 🎓, laying a firm foundation in the ever-evolving domain of computational intelligence and big data. His education is steeped in rigorous analytical training, advanced machine learning, and algorithmic design. This academic odyssey empowered him with a multifaceted understanding of the data ecosystem—from raw datasets to real-world applications 📈. His scholarly journey reflects a commitment to lifelong learning, academic excellence, and technical innovation. With each milestone, Prof. Xu has cemented himself as a profound thinker, ready to tackle future challenges through a lens of scientific curiosity and intellectual precision 🧠🔍.

💼 Professional Experience

With an illustrious career marked by leadership and innovation, Prof. Xu Chun currently serves as a full Professor and PhD supervisor 🧑‍🏫. Over the years, he has cultivated an ecosystem of excellence in data science, guiding numerous doctoral students and researchers toward impactful academic and industry pursuits. He has successfully led 13 competitive projects including those from the National Natural Science Foundation, Xinjiang Aid Program, and the Xinjiang Natural Science Foundation 🔬💼. His professional experience combines high-stakes research management with grassroots mentorship, establishing him as a pillar of scholarly progress. Moreover, his role in academic development within the Xinjiang Uygur Autonomous Region has contributed significantly to regional scientific advancement 🧭. Prof. Xu is not only an academic leader but a visionary orchestrator of computational innovation—bridging institutional goals with the broader tech-research frontier. 🌐

🔬 Research Interest

Prof. Xu Chun’s research interests orbit around Big Data Analysis and Applications, an ever-expanding universe of digital insight 🚀📊. His work explores the convergence of algorithmic intelligence, machine learning, and large-scale data systems—striving to make sense of complexity through structured, meaningful interpretations. He delves into predictive analytics, pattern recognition, and intelligent computing, with a keen focus on real-world utility and interdisciplinary crossover 🌉. Xu’s research thrives on innovation—constantly pushing boundaries to unlock new knowledge and scalable solutions. Whether it’s optimizing data flow, improving data-driven decision-making, or constructing intelligent frameworks for industry applications, his research reflects both precision and creativity. Passionate about turning raw data into refined intelligence, Prof. Xu continues to illuminate pathways where technology, theory, and transformation intersect. 🧠💾✨

🏅 Awards and Honors

Prof. Xu Chun’s brilliance has been widely acknowledged through numerous accolades 🏆. A recipient of the esteemed “Tianshan Talent” award in the Xinjiang Uygur Autonomous Region 🌟, he has been recognized for both his intellectual depth and his regional impact. He has also earned the Third Prize in the National College Young Teachers Teaching Competition 🥉, and Second Prizes in the 9th and 12th Xinjiang Natural Science Outstanding Academic Papers 🥈—a testament to his scholarly excellence and research clarity. These honors underscore his rare ability to fuse research with education, thought with action, and theory with real-world benefit 📜💡. His achievements are more than accolades—they are milestones that reflect a lifelong devotion to discovery, teaching, and the betterment of society through scientific insight. Xu stands as an emblem of academic honor and progressive innovation in China’s research landscape. 🇨🇳🌐

🧩 Conclusion

Prof. Dr. Xu Chun stands at the confluence of intellect, innovation, and influence 🧠🌟. With a strong academic foundation, a wealth of professional experience, and a laser focus on future-forward research, he epitomizes the modern scientific leader. His ability to bridge data science theory with real-world application not only inspires his peers but also empowers the next generation of thinkers and doers 📚🤝. The impact of his work ripples across academic communities and technological frontiers alike, establishing him as an ideal candidate for the Best Researcher Award 🏅. Through his awards, projects, and publications, he has created a legacy grounded in excellence and guided by vision. As a champion of knowledge and a cultivator of potential, Prof. Xu Chun’s contributions transcend boundaries—making him not only a researcher of the present but a pioneer for tomorrow’s scientific world 🌍🚀.

Publications Top Notes

📘 Title: Tourism Sentiment Quadruple Extraction via New Neural Ordinary Differential Equation Networks with Multitask Learning and Implicit Sentiment Enhancement
- Authors: Xu Chun, Wang Mengmeng, Zhu Shaolin
- Year: Forthcoming (2025)
- Source: Expert Systems with Applications
- Highlight: Introduces a novel neural ODE approach enhancing tourism sentiment analysis through multitask learning and deep sentiment modeling.
- 📍Note: Accepted in a renowned AI systems journal.

🧬 Title: EGLN: An Event Graph Learning Network for Patient Similarity with Chinese Electronic Medical Records
- Authors: Zhu Zhichao, Li Jianqiang, Zhao Qing, Xu Chun
- Year: Presented recently
- Source: Major AI-focused Medical Conference
- Highlight: Proposes an event-graph model addressing patient similarity extraction using complex EMR structures.
- 📍Note: Commended for innovation in clinical informatics.

💡 Title: Development of AI-Driven Disease Prediction Model for Medical Education Management
- Authors: Zhu Zhichao, Li Jianqiang, Xu Chun, Ding Shujie
- Year: Recent contribution
- Source: Educational AI Symposium
- Highlight: Builds an AI framework to predict disease trends and guide medical education strategy.
- 📍Note: Recognized for bridging healthcare AI and academic policy.

🔗 Title: A Knowledge-Guided Event-Relation Graph Learning Network for Patient Similarity with Chinese Electronic Medical Records
- Authors: Zhu Zhichao, Li Jianqiang, Xu Chun, Zhao Qing
- Year: Published (2024)
- Source: IEEE Transactions on Big Data
- Highlight: Tackles sparse feature problems using a knowledge-driven graph learning method for clinical record analysis.
- 📍Note: Published in a high-impact, peer-reviewed journal.

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

Scopus Profile
ORCID Profile

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

Vesna Knights | Applied Mathematics | Women Researcher Award

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

Prof. Vesna Knights | Applied Mathematics | Women Researcher Award

North Macedonia at Faculty of Technology and Technical Science, University “St. Kliment Ohridski”—Bitola, 7000 Bitola, North Macedonia, Macedonia

Professor Vesna (Antoska) Knights, Dr.Sc., is a distinguished academic and researcher with extensive experience in mathematical statistics, applied mathematics, and mathematical modelling. Serving as a Full Professor at the Faculty of Technology and Technical Sciences in Veles, University “St. Kliment Ohridski” – Bitola, she has held pivotal roles including Head of the Doctoral Studies Council and Vice Dean. Her scholarly contributions span biostatistics, optimization, automation, and data analysis, with active involvement in international collaborations such as the COST Action DE-PASS and ERASMUS+ teaching exchanges. With a career rooted in both academia and government statistical services, Professor Knights brings a multidisciplinary perspective to her work. Her research has been recognized through numerous publications indexed in Scopus and Web of Science. Dedicated to mentoring and policy-relevant research, she exemplifies leadership in science and education. Her broad expertise and impact make her a strong candidate for the Women Researcher Award.

Professional Profile

Google Scholar
Scopus Profile
ORCID Profile

Education

Professor Vesna (Antoska) Knights holds a Doctor of Science (Dr.Sc.) degree in Technical Sciences, with a specialization in Applied Mathematics and Statistical Modelling. Her academic journey began with a degree in Mathematics, followed by postgraduate studies in Statistical Analysis and Mathematical Modelling, which laid a strong foundation for her interdisciplinary research career. Her doctoral work focused on applying mathematical frameworks to real-world industrial and biological systems, earning her recognition for integrating theoretical insight with practical application. Throughout her academic progression, she pursued international research exchanges and advanced trainings, including ERASMUS+ programs, which enriched her educational profile with global perspectives. Her commitment to continuous learning and academic excellence is evident in her participation in workshops, seminars, and specialized courses across Europe. Professor Knights’s education reflects a deep-rooted dedication to expanding knowledge and applying it to complex scientific, technological, and societal challenges.

Professional Experience

Professor Knights has a distinguished career spanning academia, public service, and international collaboration. Currently a Full Professor at the Faculty of Technology and Technical Sciences in Veles, University “St. Kliment Ohridski” – Bitola, she has held several leadership roles including Vice Dean and Head of the Doctoral Studies Council. She has extensive experience teaching undergraduate, graduate, and doctoral students in mathematics, statistics, data analysis, and optimization. Her early career includes service at the State Statistical Office of North Macedonia, where she contributed to national statistical methodology and data analysis frameworks. She is actively engaged in international mobility programs such as ERASMUS+ and serves as a scientific member in European research networks like the COST Action DE-PASS. With a professional background that bridges academia and applied statistics, Professor Knights has led multiple research projects, supervised doctoral theses, and established herself as a key figure in interdisciplinary academic initiatives throughout Europe.

Research Interest

Professor Knights’s research interests are deeply rooted in applied mathematics, mathematical statistics, and computational modelling. She specializes in biostatistics, systems optimization, industrial mathematics, and the application of statistical models in engineering and health sciences. Her interdisciplinary approach connects statistical theory with practical problems in automation, manufacturing, and biological systems. A significant part of her research has focused on parameter estimation, probabilistic analysis, and developing algorithms for data-driven decision-making in complex systems. She is also involved in health-related modelling within the context of physical activity and well-being, contributing to the European COST Action DE-PASS project. Her scientific output includes numerous publications indexed in Scopus and Web of Science, showcasing her commitment to advancing both theory and application. Professor Knights is particularly enthusiastic about mentoring young researchers and fostering cross-disciplinary collaboration, reflecting her belief in the transformative power of mathematical modelling in solving global challenges.

Award and Honor

Throughout her career, Professor Vesna Knights has received various accolades that reflect her dedication to science, education, and leadership. She has been recognized at institutional and national levels for her outstanding teaching performance and contributions to academic development. Her research excellence has earned her invitations to serve as a reviewer and editorial board member for peer-reviewed international journals. Her participation in the prestigious COST Action DE-PASS highlights her standing in the European research community. Additionally, she has been a keynote speaker and guest lecturer in ERASMUS+ programs and international conferences, where her work has been lauded for its impact and innovation. As a mentor and academic advisor, she has received commendations for guiding doctoral students and young researchers in developing cutting-edge research methodologies. These honors underscore her significant influence across educational, scientific, and professional landscapes, positioning her as a role model and advocate for women in science and mathematics.

Conclusion

Professor Vesna (Antoska) Knights exemplifies academic excellence, interdisciplinary innovation, and leadership in mathematical sciences. Her career bridges theoretical depth with real-world application, impacting fields from biostatistics and industrial optimization to health science and data analytics. As a dedicated educator, she inspires students and researchers alike, fostering a vibrant academic environment that emphasizes rigor, creativity, and societal relevance. Her international collaborations, leadership in doctoral education, and participation in high-impact European research networks underscore her role as a globally engaged scholar. The recognition she has received through awards, research invitations, and institutional honors speaks to her sustained contributions to the scientific community. Professor Knights is not only a distinguished researcher but also a passionate advocate for scientific collaboration, education, and mentorship. Her legacy continues to influence the next generation of scientists, making her a worthy recipient of honors such as the Women Researcher Award, and a beacon of excellence in contemporary mathematical science.

Publications Top Notes

Title: Nonlinear Dynamics and Machine Learning for Robotic Control Systems in IoT Applications
Authors: V. Antoska-Knights, O. Petrovska, J. Gajdoš Kljusurić
Year: 2024
Citations: 1
Source: Future Internet
Title: Machine Learning Models and Mathematical Approaches for Predictive IoT Smart Parking
Authors: V. Knights, O. Petrovska, J. Bunevska-Talevska, M. Prchkovska
Year: 2025
Source: Sensors, 25(7), 2065
Title: Enhancing Smart Parking Management through Machine Learning and AI Integration in IoT Environments
Authors: V. Antoska-Knights, O. Petrovska, M. Prchkovska
Year: 2025
Citations: 4
Source: IntechOpen Limited, pp. 25–49
Title: Learning and AI Integration in IoT
Authors: V. Knights, O. Petrovska, M. Prchkovska
Year: 2025
Source: Navigating the Internet of Things in the 22nd Century
Title: Mathematical Analysis of Statistical Design of Experiment and Machine Learning Methods in Identifying Factors Influencing Obesity
Authors: V. Knights, T. Blazevska, G. Markovic, J.G. Kljusurić
Year: 2024
Source: Medical Research Archives, 12(9)
Title: Примена на статистички методи… со потекло oд Македонија, Косово и Албанија
Authors: B. Durmishi, V. Antoska-Knights
Year: 2024
Source: Годишна Конференција на студентите на трет циклус студии
Title: Pollution of the Fifth Canal on the Crna River in the Region of Bitola
Authors: T. Blazhevska, V. Pavlova, V. Knights, N. Gruevska, E. Delinikolova, et al.
Year: 2024
Source: IJFTN International Journal of Food Technology and Nutrition, 7(13–14), 138–143
Title: The Presence of Escherichia coli and Enterococcus in the Water of the Fifth Canal and Black River near Bitola
Authors: T. Blazhevska, V. Pavlova, V. Knights, V. Stamatovska, M. Sviderski, et al.
Year: 2024
Source: Journal of Agriculture and Plant Sciences, 22(1), 9–13
Title: Machine Learning Techniques for Modelling and Predicting the Influence of Kefir in a Low-Protein Diet on Kidney Function
Authors: V. Knights, E.D. Gavriloska
Year: 2024
Source: Medical Research Archives, 12(7)
Title: Textural and Sensory Characteristics of Yogurt Manufactured with Liquid Whey and Strawberry Supplementation
Authors: A. Hyseni, T. Kalevska, D. Nikolovska Nedelkoska, G. Dimitrovska, et al.
Year: 2024
Source: Journal of Food Science and Technology (Iran), 21(150), 139–150
Title: Integrating Machine Learning and AI into IoT-Enabled Smart Parking
Authors: V. Knights, O. Petrovska, M. Prchkovska
Year: 2024
Source: International Conference on Innovations in Technology, Business and Society
Title: From Equations to Predictions: Understanding the Mathematics and Machine Learning of Multiple Linear Regression
Authors: V. Knights, M. Prchkovska
Year: 2024
Citations: 7
Source: Journal of Mathematical & Computer Applications, 3(2), 1–8
Title: Recommendations and Use of Calcium, Vitamin D, and Appropriate Nutrition in Patients with Rheumatoid Diseases
Authors: D. Zhubi, V. Pavlova, M. Zhubi, A. Tahiri, I. Kovaci, T. Blazhevska, V. Knights, et al.
Year: 2024
Citations: 1
Source: Journal of Hygienic Engineering & Design, 47
Title: Modeling and Implementation of Smart Parking System
Authors: O. Petrovska, V. Knights, A.F. Turkeshi
Year: 2024
Source: Book of Abstracts, 12
Title: Mineral Composition of Fresh Cow’s Milk and the Importance of Minerals in the Human Diet
Authors: V. Loshi, I. Nikqi, E. Gajdoš Kljusurić, V. Antoska-Knights
Year: 2024
Source: Journal of Hygienic Engineering and Design, 48, 30–34
Title: A Survey on the Motivation, Attitudes, and Frequency of Use of Dietary Supplements in Cancer Patients
Authors: K. Dina, V. Pavlova, A. Tahiri, I. Kovaci, T. Blazhevska, V. Knights, et al.
Year: 2024
Source: Journal of Hygienic Engineering and Design
Title: Textural and Sensory Properties of Yogurt Obtained by Bioconversion of Milk-Liquid Whey Mixture and Aronia Supplementation
Authors: A. Hyseni, T. Kalevska, D. Nikolovska-Nedelkoska, G. Dimitrovska, et al.
Year: 2024
Source: Poljoprivreda i Sumarstvo, 70(1), 115–126
Title: Dynamic Modeling and Simulation of Mobile Robot under Disturbances and Obstacles in an Environment
Authors: V. Knights, O. Petrovska
Year: 2024
Citations: 6
Source: Journal of Applied Mathematics & Computation, 8, 59–67
Title: Mathematical Modelling of Determining the Dynamics of the Nutritional Value Content of Classic Kefir and Three Types of Flavors of Functional Kefir
Authors: E.D. Gavriloska, T. Kalevska, G. Dimitrovska, J.G. Kljusurić, V.A. Knights
Year: 2023
Source: Horizons – International Scientific Journal, 1(1), 116–129

Daniel Condurache | Mathematical Engineering | Outstanding Contribution Award

Posted on 25/03/202525/03/2025 by Math Scientist

Prof. Daniel Condurache | Mathematical Engineering | Outstanding Contribution Award

Professor at Technical University of Iasi, Romania

Prof. Daniel Condurache is a distinguished researcher and academic leader specializing in theoretical mechanics, robotics, orbital mechanics, and mathematical modeling. A Professor and PhD Supervisor at Gheorghe Asachi Technical University of Iași, he has held key leadership positions, including Vice-Rector and Head of Department. He is a Corresponding Member of the Romanian Academy and a Senior Member of IEEE, AIAA, AMS, ASME, and AAS, reflecting his international recognition. With over 100 research articles published in prestigious journals, his work spans integral transformations, Lie algebra, and spaceflight mechanics, earning him H-index scores of 12-18 across research databases. He also serves as an editor and reviewer for multiple scientific journals. His contributions to mechanical engineering, mechatronics, and robotics have shaped both academic and industrial research. While already a leading figure, increased international collaborations and industry applications could further enhance his impact. He is an outstanding candidate for the Best Researcher Award.

Professional Profile

Google Scholar
Scopus Profile
ORCID Profile

Education

Prof. Daniel Condurache holds a Ph.D. in Mechanical Engineering (Magna Cum Laude) from Gheorghe Asachi Technical University of Iași, Romania. He also earned an Engineering degree from the Polytechnic Institute of Iași, Faculty of Electronics and Telecommunications. Additionally, he pursued studies in Mathematics at Alexandru Ioan Cuza University of Iași, Romania, further enhancing his analytical skills. His strong academic foundation in mechanical engineering, robotics, and applied mathematics has significantly contributed to his expertise in kinematics, dynamics, and theoretical mechanics. Over the years, he has continued his research in advanced mathematical modeling, integral transformations, and Lie algebra applications in mechanics. His interdisciplinary education has allowed him to bridge gaps between engineering, physics, and mathematics, leading to groundbreaking contributions in robotics, orbital mechanics, and rigid body dynamics. His academic journey reflects a commitment to continuous learning and innovation in theoretical and applied mechanics.

Professional Experience

Prof. Condurache has had a distinguished academic career spanning over four decades at Gheorghe Asachi Technical University of Iași. He has held multiple leadership positions, including Vice-Rector, Head of the Department of Theoretical Mechanics, and Professor. His teaching portfolio includes Theoretical Mechanics, Modeling and Simulation of Mechanical Systems, and Mathematical Foundations of Robotics. Beyond academia, he has contributed as a Ph.D. supervisor in mechanical engineering, mentoring the next generation of researchers. He has also played a vital role in Romania’s academic and research policies as a member of CNATDCU (Mechanical Engineering, Mechatronics, and Robotics) and CCCDI (Ministry of Research, Innovation, and Digitalization). Additionally, he has served as an editor for academic journals and conference proceedings, reinforcing his influence in the field. His extensive experience across teaching, research, and administration highlights his dedication to advancing both academia and engineering innovation.

Research Interests

Prof. Condurache’s research focuses on higher-order kinematics, rigid body dynamics, orbital mechanics, robotics, and Lie algebra applications in engineering. His work integrates mathematics, physics, and engineering principles to develop innovative models for spacecraft dynamics, robotic manipulators, and multibody systems. He specializes in algebraic and geometric methods in dynamical systems, astrodynamics, dual quaternions, integral transformations, and wavelet analysis. His contributions to rigid body motion parameterization using dual tensors and Cayley transforms have been widely recognized in the academic community. His recent publications explore higher-order kinematics of multibody systems and gravitational interactions in non-inertial reference frames, with applications in celestial mechanics, robotics, and spaceflight mechanics. His interdisciplinary research has significantly advanced the understanding of complex mechanical systems and influenced fields such as aerospace engineering, automation, and computational kinematics.

Awards and Honors

Prof. Condurache’s achievements have earned him numerous accolades, including his election as a Corresponding Member of the Romanian Academy and the Academy of Technical Sciences in Romania. He is a Senior Member of IEEE, AIAA (American Institute of Aeronautics and Astronautics), ASME (American Society of Mechanical Engineers), and AMS (American Mathematical Society), demonstrating his global recognition in the scientific community. He is also a founding member of the Romanian Society of Theoretical and Applied Mechanics and has received multiple awards for his research contributions in mechanical engineering and robotics. His extensive publication record, with over 100 research papers in ISI-indexed journals, and an H-index reflecting significant citations, underscores his influence in the field. His impact extends beyond Romania, with collaborations in international research projects and editorial roles in prestigious scientific journals.

Conclusion

Prof. Daniel Condurache is a highly accomplished researcher, educator, and academic leader with an extensive career in mechanical engineering, robotics, and theoretical mechanics. His contributions to kinematics, multibody systems, and rigid body dynamics have significantly influenced both academic research and industrial applications. As a respected professor and Ph.D. supervisor, he has mentored numerous scholars, shaping the future of mechanical engineering and robotics. His global recognition through memberships in prestigious organizations and editorial contributions reflects his commitment to advancing scientific knowledge. With over four decades of experience, multiple leadership roles, and groundbreaking research, Prof. Condurache stands as a leading figure in modern engineering and applied mathematics. His work continues to push the boundaries of kinematic modeling, spaceflight mechanics, and robotic control, ensuring his lasting impact on both theoretical and applied sciences.

Publications Top Noted

Title: Orthogonal Dual Tensor Method for Solving the AX=XB Sensor Calibration Problem
- Authors: D. Condurache, A. Burlacu
- Year: 2016
- Citations: 107
- Source: Mechanism and Machine Theory, Vol. 104, pp. 382-404
Title: Dual Tensors-Based Solutions for Rigid Body Motion Parameterization
- Authors: D. Condurache, A. Burlacu
- Year: 2014
- Citations: 74
- Source: Mechanism and Machine Theory, Vol. 74, pp. 390-412
Title: Relative Spacecraft Motion in a Central Force Field
- Authors: D. Condurache, V. Martinuşi
- Year: 2007
- Citations: 48
- Source: Journal of Guidance, Control, and Dynamics, Vol. 30 (3), pp. 873-876
Title: Resistivity and Curie Point of Li‐Zn Ferrites
- Authors: N. Rezlescu, D. Condurache, P. Petrariu, E. Luca
- Year: 1974
- Citations: 47
- Source: Journal of the American Ceramic Society, Vol. 57 (1), pp. 40-40
Title: Foucault Pendulum-Like Problems: A Tensorial Approach
- Authors: D. Condurache, V. Martinuşi
- Year: 2008
- Citations: 45
- Source: International Journal of Non-Linear Mechanics, Vol. 43 (8), pp. 743-760
Title: Left Atrial Structure and Function are Associated with Cardiovascular Outcomes Independent of Left Ventricular Measures: A UK Biobank CMR Study
- Authors: Z. Raisi-Estabragh, C. McCracken, D. Condurache, N. Aung, J.D. Vargas, et al.
- Year: 2022
- Citations: 41
- Source: European Heart Journal – Cardiovascular Imaging, Vol. 23 (9), pp. 1191-1200
Title: A Minimal Parameterization of Rigid Body Displacement and Motion Using a Higher-Order Cayley Map by Dual Quaternions
- Authors: D. Condurache, I. Popa
- Year: 2023
- Citations: 2
- Source: Symmetry, Vol. 15 (11), 2011
Title: An Analysis of Higher-Order Kinematics Formalisms for an Innovative Surgical Parallel Robot
- Authors: C. Vaida, I. Birlescu, B. Gherman, D. Condurache, D. Chablat, D. Pisla
- Year: 2025
- Citations: [Not available]
- Source: Mechanism and Machine Theory, Vol. 209, 105986
Title: An Overview of Higher-Order Kinematics of Rigid Body and Multibody Systems with Nilpotent Algebra
- Authors: D. Condurache
- Year: 2025
- Citations: [Not available]
- Source: Mechanism and Machine Theory, Vol. 209, 105959
Title: About a Classical Gravitational Interaction in a General Non-Inertial Reference Frame: Applications on Celestial Mechanics and Astrodynamics
- Authors: D. Condurache, M. Cojocari, I. Popa
- Year: 2025
- Citations: [Not available]
- Source: Symmetry, Vol. 17 (3), 368
Title: A Closed Form of Higher-Order Cayley Transforms and Generalized Rodrigues Vectors Parameterization of Rigid Motion
- Authors: D. Condurache, M. Cojocari, I.A. Ciureanu
- Year: 2024
- Citations: [Not available]
- Source: Mathematics, Vol. 13 (1), 114

Title: Dual Lie Algebra Representations of the Rigid Body Motion
- Authors: D. Condurache, A. Burlacu
- Year: 2014
- Citations: 35
- Source: AIAA/AAS Astrodynamics Specialist Conference, 4347

Title: Advances in Robot Kinematics
- Authors: J. Lenarcic, C. Galletti
- Year: 2004
- Citations: 39
- Source: Kluwer Academic

Felix Sadyrbaev | Applied Mathematics | Best Researcher Award

Posted on 21/03/202521/03/2025 by Math Scientist

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
- Authors: Olga Kozlovska, Felix Sadyrbaev, Inna Samuilik
- Year: 2024
- Source: Mathematics
On Solutions of the Third-Order Ordinary Differential Equations of Emden-Fowler Type
- Authors: Felix Sadyrbaev
- Year: 2023
- Source: Dynamics
On Coexistence of Inhibition and Activation in Genetic Regulatory Networks
- Authors: Felix Sadyrbaev, Valentin Sengileyev, Albert Silvans
- Year: [No year mentioned]

Shiqing Zhang | Applied Mathematics | Excellence in Applied Mathematics

Posted on 12/03/202512/03/2025 by Math Scientist

Prof. Shiqing Zhang | Applied Mathematics | Excellence in Applied Mathematics

Math Department at Sichuan University, China

Dr. Shiqing Zhang is a distinguished professor of mathematics at Sichuan University, specializing in Nonlinear Functional Analysis, Celestial Mechanics, Differential Equations, and Mathematical Physics. With a Ph.D. from Nankai University (1991), he has made significant contributions to applied mathematics, particularly in optimization algorithms, N-body problems, and mathematical modeling. His extensive publication record in high-impact journals and multiple National Science Foundation of China (NSFC) research grants highlight his sustained research excellence. His work has applications in astrophysics, computational mathematics, and engineering. Recognized early as a Distinguished Young Teacher at Chongqing University (1996), Dr. Zhang has since continued to advance the field with groundbreaking research. While his academic contributions are remarkable, expanding industry collaborations and international recognition could further enhance his impact. Overall, his expertise and achievements make him a strong candidate for the Excellence in Applied Mathematics Award, with research that bridges theoretical mathematics and real-world applications.

Professional Profile

Scopus Profile

Education

Dr. Shiqing Zhang has a strong academic background in mathematics, beginning with his B.S. degree from Chongqing University in 1985, followed by a Master’s degree from the same institution in 1987. He pursued advanced studies in mathematical sciences and earned his Ph.D. from Nankai University in 1991. Throughout his academic journey, Dr. Zhang has focused on deep theoretical aspects of mathematics, particularly in applied fields such as functional analysis, celestial mechanics, and differential equations. His education at renowned Chinese universities laid the foundation for his extensive contributions to mathematical research. His academic progression reflects a deep commitment to advancing mathematical knowledge and solving complex mathematical problems. With rigorous training in both pure and applied mathematics, Dr. Zhang’s educational background provided him with the analytical skills and problem-solving abilities necessary to excel in research, making him a leading figure in applied mathematics and a strong candidate for prestigious academic recognition.

Professional Experience

Dr. Shiqing Zhang has built a distinguished academic career spanning over three decades. He began his professional journey at Chongqing University, where he served as an Assistant Professor (1988–1993) and later as an Associate Professor (1993–1997). His exceptional contributions to mathematics led to his promotion as a Professor at Chongqing University in 1997, a position he held until 2002. He then moved to Yangzhou University (2002–2005) as a Professor before joining Sichuan University in 2005, where he has been a Professor of Mathematics ever since. His professional trajectory demonstrates a continuous commitment to academia, teaching, and research. Over the years, he has played a crucial role in mentoring students, leading research initiatives, and contributing to the advancement of applied mathematics. His vast teaching experience, combined with his research contributions, establishes him as a well-respected authority in the field of mathematical sciences.

Research Interest

Dr. Shiqing Zhang’s research interests lie in Nonlinear Functional Analysis, Celestial Mechanics, Differential Equations, and Mathematical Physics. His work focuses on developing analytical methods to solve complex problems in applied mathematics. He has made significant contributions to the study of central configurations in celestial mechanics, periodic solutions in Hamiltonian systems, and optimization problems using variational methods. His research extends to iterative algorithms, monotone inclusion problems, and function space analysis, which have applications in physics, engineering, and computational sciences. Dr. Zhang has published extensively in high-impact mathematical journals, providing innovative solutions to long-standing problems. His work on mountain pass theorem applications, action-minimizing solutions, and functional inequalities showcases his depth in applied mathematics. By bridging theory with real-world applications, his research continues to shape developments in both pure and applied mathematical disciplines, reinforcing his position as a leading researcher in the field.

Awards and Honors

Dr. Shiqing Zhang has been recognized for his contributions to mathematics through numerous research grants and honors. He has received multiple research grants from the National Natural Science Foundation of China (NSFC), spanning several years, including major funding from 1996 to 2024. These grants have supported his research in applied mathematics, particularly in nonlinear functional analysis and celestial mechanics. In recognition of his excellence in teaching and research, he was awarded the title of Distinguished Young Teacher at Chongqing University in 1996, highlighting his impact on mathematics education. His ability to secure continuous funding reflects the high quality and significance of his research contributions. Dr. Zhang’s strong academic credentials, numerous publications, and funded projects illustrate his expertise and commitment to mathematical advancements. These accolades confirm his role as a key figure in applied mathematics, making him a distinguished candidate for awards recognizing excellence in research.

Conclusion

Dr. Shiqing Zhang’s extensive contributions to applied mathematics, nonlinear functional analysis, and celestial mechanics establish him as a leading researcher in the field. With a solid educational foundation from top Chinese universities and a distinguished academic career spanning over three decades, he has significantly impacted both research and education. His numerous research grants from NSFC, coupled with high-quality publications in renowned mathematical journals, demonstrate the depth and influence of his work. His recognition as a Distinguished Young Teacher at Chongqing University further underscores his contributions to academia. Dr. Zhang’s research in differential equations, optimization, and mathematical physics bridges theoretical advancements with practical applications, enhancing the understanding of complex mathematical models. Given his academic excellence, research achievements, and long-standing contributions, he is a highly suitable candidate for the Excellence in Applied Mathematics Award, reflecting his dedication to advancing mathematical sciences globally.

Publications Top Noted

Title: “Two Modified Inertial Algorithms for a Class of Split Common Null Point Problems with Demi-Contractive Mapping”
- Authors: Tang, Yan; Zhang, Shiqing; Zhou, Haiyun
- Year: 2024
- Source: Mediterranean Journal of Mathematics
- Link: Access the article
Title: “Nash’s Existence Theorem for Non-Compact Strategy Sets”
- Authors: Zhang, Xinyu; Yang, Chunyan; Han, Renjie; Zhang, Shiqing
- Year: 2024
- Source: Mathematics
- Link: Access the article
Title: “Stability of Nonlinear Evolutionary Systems Driven by Set-Valued Mixed Variational Inequalities”
- Authors: Yang, Chunyan; Li, Wei; Zhang, Shiqing; Alwadani, Salihah Thabet
- Year: 2024
- Source: Applicable Analysis
- Link: Access the article
Title: “On the Bregman-Proximal Iterative Algorithm for the Monotone Inclusion Problem in Banach Spaces”
- Authors: Tang, Yan; Zhang, Shiqing; Cho, Yeol-Je
- Year: 2024
- Citations: 1
- Source: Numerical Functional Analysis and Optimization
- Link: Access the article
Title: “Stacked Central Configurations with a Homogeneous Potential in R³”
- Authors: Liu, Yangshanshan; Zhang, Shiqing
- Year: 2023
- Citations: 1
- Source: SIAM Journal on Applied Dynamical Systems
- Link: Access the article
Title: “Some Nonlinear Characterizations of Reflexive Banach Spaces”
- Authors: Tang, Yan; Zhang, Shiqing; Guo, Tiexin
- Year: 2023
- Citations: 1
- Source: Journal of Mathematical Analysis and Applications
- Link: Access the article