Prof. Lenka Přibylová | Applied Mathematics | Best Researcher Award

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Prof. Lenka Přibylová | Applied Mathematics | Best Researcher Award

Associate Professor, Masaryk University, Czech Republic

Lenka Přibylová is an Associate Professor in the Department of Mathematics and Statistics at Masaryk University, specializing in applied mathematics, nonlinear dynamics, and mathematical modeling. Her interdisciplinary research spans epidemics, ecology, neuroscience, and physics, aiming to bridge theoretical mathematics with real-world applications.

Profile

Education 

Lenka Přibylová completed her Master of Science in Mathematics at Masaryk University in 1999, graduating with honors. She earned her Doctoral degree in Mathematical Analysis in 2004, under the supervision of Doc. Josef Kalas, CSc. In 2023, she achieved habilitation in Applied Mathematics at Masaryk University, attaining the title of Associate Professor. Additionally, she completed rigorous proceedings in Mathematics at Masaryk University in 2000. Her academic journey reflects a strong foundation in mathematical analysis and a commitment to advancing the field of applied mathematics.

Experience

Lenka Přibylová has held significant academic positions, contributing to both teaching and research. Since 2023, she has been serving as an Associate Professor in the Department of Mathematics and Statistics at Masaryk University. Prior to this, she was an Assistant Professor in the same department from 2006 to 2023. From 2002 to 2006, she was an Assistant Professor in the Department of Mathematics at Mendel University of Agriculture and Forestry in Brno. Her teaching portfolio includes courses on bifurcations, chaos, fractals, nonlinear dynamics, deterministic models, and mathematics for cartography. She has also supervised numerous doctoral, master’s, and bachelor’s theses, fostering the development of future mathematicians. Her research endeavors have led to collaborations with international institutions, enhancing the global impact of her work.

Awards and Honors

Lenka Přibylová’s contributions to mathematics have been recognized through various awards. In 2022, she received the MUNI Scientist Award, highlighting her exceptional research achievements. Earlier, in 1998, she was honored with the Award of the Head of the Department of Mathematics and Statistics for her outstanding work. These accolades underscore her dedication to advancing mathematical sciences and her commitment to excellence in research and education.

Research Focus

Lenka Přibylová’s research focuses on nonlinear dynamics and its applications across various disciplines. She leads the Analytical Group of the National Institute for Pandemic Control under the Czech Ministry of Health, where her team has modeled COVID-19 outbreaks and studied vaccine efficacy. Her ecological research examines the effects of climate change on seasonally driven population dynamics in ecosystems. In collaboration with international partners, she explores the dynamics of AC-driven Josephson junctions in physics. Her neuroscience research investigates the use of dynamical modeling in applied neuroscience and epileptology. Through these interdisciplinary projects, she applies mathematical principles to solve complex real-world problems, demonstrating the versatility and impact of applied mathematics.

Publication Top Notes

  1. “Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations”
    Journal: eLife, 2023
    Summary: This study evaluates the effectiveness of multi-model ensemble forecasts in predicting COVID-19 trends across Europe, providing insights into the reliability of different forecasting methods.

  2. “Protection by vaccines and previous infection against the Omicron variant of SARS-CoV-2”
    Journal: The Journal of Infectious Diseases, 2022
    Summary: The research assesses the protective effects of vaccination and prior infection against the Omicron variant, contributing to understanding immunity dynamics.

  3. “Predator interference and stability of predator–prey dynamics”
    Journal: Journal of Mathematical Biology, 2015
    Summary: This paper explores how predator interference affects the stability of predator-prey interactions, offering mathematical insights into ecological balance.

  4. “Bifurcation routes to chaos in an extended Van der Pol’s equation applied to economic models”
    Journal: Electronic Journal of Differential Equations, 2009
    Summary: The study investigates the transition to chaos in economic models using an extended Van der Pol equation, highlighting the complexity of economic systems.

  5. “Foraging facilitation among predators and its impact on the stability of predator–prey dynamics”
    Journal: Ecological Complexity, 2017
    Summary: This research examines how foraging facilitation among predators influences the stability of predator-prey dynamics, providing ecological insights

Conclusion

Assoc. Prof. Lenka Přibylová is a well-rounded, impactful, and highly deserving candidate for a Best Researcher Award. Her interdisciplinary research contributions, especially in real-world applications such as epidemic modeling and neuroscience, alongside her dedication to teaching, mentorship, and science outreach, make her stand out as a nationally and increasingly internationally recognized researcher. With further international project leadership and more flagship publications, her profile would only strengthen in future candidacies.

Muhammad Ramzan | Applied math | Best Scholar Award

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Mr. Muhammad Ramzan | Applied math | Best Scholar Award

Scholar, Bahauddin Zakariya University, Pakistan

Muhammad Ramzan is a researcher and academic based at Bahauddin Zakariya University, Multan, Punjab, Pakistan. With a strong background in applied mathematics and fluid dynamics, he has earned recognition for his contributions to the study of heat transfer, nanofluids, and fractional derivatives. His work focuses on the theoretical and numerical modeling of complex fluid flow phenomena and their interaction with magnetic fields, heat transfer, and chemical reactions. As an active member of the scientific community, he regularly collaborates with other esteemed researchers to tackle challenging problems in applied mathematics and engineering, publishing widely in high-impact journals. Ramzan’s work is widely cited and respected, reflecting his expertise and commitment to advancing knowledge in his field.

Profile

Orcid

Education 🎓

Muhammad Ramzan completed his academic journey at Bahauddin Zakariya University, Multan, where he has been a dedicated student from October 2, 2017, to March 20, 2025. During his academic career, Ramzan immersed himself in advanced studies focusing on applied mathematics, specifically in the areas of fluid dynamics, heat transfer, and fractional calculus. His education has equipped him with the skills to conduct high-level research in these areas, contributing to the development of novel mathematical models used to understand complex physical systems. His academic foundation in applied mathematics has laid the groundwork for his significant research and publications, positioning him as an emerging leader in his field. Through rigorous coursework and research, Ramzan has demonstrated a strong commitment to advancing scientific knowledge and solving real-world problems.

Employment 💼

Muhammad Ramzan holds a position at Bahauddin Zakariya University, Multan, Punjab, Pakistan, under the Department of Applied Mathematics (CASPAM). His work at the university is centered around both teaching and research, with a focus on applied mathematics and its real-world applications in fluid mechanics and heat transfer. In addition to his teaching responsibilities, he actively engages in research projects, collaborating with both local and international experts in his field. Ramzan’s employment has provided him with the opportunity to explore advanced topics in fluid dynamics, nanofluids, and mathematical modeling, leading to multiple publications in prestigious scientific journals. His work at the university also allows him to mentor students and contribute to the development of new academic programs in applied mathematics, positioning the institution as a hub for cutting-edge research.

Research Focus 🔬

Muhammad Ramzan’s research primarily focuses on the study of fluid dynamics, heat transfer, and mathematical modeling using fractional derivatives. He investigates the impact of Brownian motion, thermophoresis, and chemical reactions on fluid flow and heat transfer in complex systems. His work often involves the study of nanofluids, magnetohydrodynamic (MHD) flows, and the application of advanced mathematical tools such as fractional calculus and hybrid fractal derivatives. By combining theoretical modeling with numerical simulations, his research aims to improve understanding of these complex systems and contribute to fields like engineering and materials science. Ramzan’s research is not only groundbreaking but also highly practical, with potential applications in various industries, including energy, manufacturing, and environmental science. His interdisciplinary approach bridges applied mathematics and engineering, offering innovative solutions to real-world problems.

Publication Top Notes📄

  1. Effect of Brownian and thermophoresis motion on fluid flow with chemical reaction and heat transfer 🌡️
    Published in Radiation Effects and Defects in Solids, 2025
    DOI: 10.1080/10420150.2025.2467360

  2. A comparative study of heat absorption and chemical reaction on MHD flow with fractional derivatives 🔥
    Published in Numerical Heat Transfer, Part A: Applications, 2024
    DOI: 10.1080/10407782.2024.2375322

  3. Analysis of heat and mass transfer on nanofluid: An application of hybrid fractal-fractional derivative 🌫️
    Published in Numerical Heat Transfer, Part A: Applications, 2024
    DOI: 10.1080/10407782.2024.2366442

  4. Application of fractional derivative on nanofluid with magnetic field ⚡
    Published in Numerical Heat Transfer, Part B: Fundamentals, 2024
    DOI: 10.1080/10407790.2024.2362940

  5. Analysis of active and passive control of fluid with fractional derivative ⚙️
    Published in Numerical Heat Transfer, Part A: Applications, 2024
    DOI: 10.1080/10407782.2024.2327008

 

 

 

Sathiyataj Thambiayya | Mathematical Physics | Best Researcher Award

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Assist. Prof. Dr. Sathiyataj Thambiayya | Mathematical Physics | Best Researcher Award

Assistant Professor, UCSI University, Malaysia

Dr. Sathiyaraj Thambiayya is an Assistant Professor in the Institute of Actuarial Science and Data Analytics at UCSI University, Kuala Lumpur, Malaysia. He holds a Ph.D. in Mathematics from The Gandhigram Rural Institute, India. With over six years of teaching and research experience, Dr. Sathiyaraj specializes in control systems, fractional calculus, stochastic processes, and artificial intelligence applications in dynamic systems. He has worked as a Post-Doctoral Research Fellow at Guizhou University, China, and has been selected for the prestigious National Post-Doctoral Fellowship by the Science and Engineering Research Board (SERB), Government of India. Dr. Sathiyaraj’s research contributions have been recognized globally, with a total research impact factor of 67.10 and a focus on applying advanced mathematics to real-world challenges such as healthcare and AI systems. He is currently leading several funded research projects and is actively involved in postgraduate supervision.

Profile

Google Scholar

Education

Dr. Sathiyaraj Thambiayya completed his Ph.D. in Mathematics from the Department of Mathematics at The Gandhigram Rural Institute, India (2015–2017). Before that, he earned a Master of Philosophy in Mathematics from St. Joseph’s College, Trichy, India (2011–2012) and a Master of Science in Mathematics from the same institution (2009–2011). He holds a Bachelor of Education in Mathematics from Tamil Nadu Teachers Education, Chennai, India (2008–2009), and a Bachelor of Science in Mathematics from AVVM Sri Pushpam College, Thanjavur, India (2005–2008). Additionally, he completed his Higher Secondary School at Govt. High School, Thanjavur, India (2003–2005). His academic journey highlights his consistent focus on mathematics and its application to real-world problems, particularly in control systems, stochastic processes, and fractional calculus.

Experience

Dr. Sathiyaraj Thambiayya has extensive academic experience in teaching and research. He currently serves as an Assistant Professor at the Institute of Actuarial Science and Data Analytics at UCSI University, Malaysia, where he has been employed since January 2024. Previously, he worked as a Lecturer in the same institute (2021–2023). His earlier academic experience includes a role as a Guest Faculty at The Gandhigram Rural Institute, India (2017–2018), and as an Assistant Professor in Mathematics at Oxford Engineering College, Trichy, India (2012–2013). Dr. Sathiyaraj has contributed significantly to research during his Post-Doctoral Fellowship at Guizhou University, China (2018–2021), and under the SERB Fellowship at IIT Kanpur, India (2021). His teaching and research have revolved around advanced mathematics, stochastic systems, AI, and control theory, with a particular emphasis on healthcare applications and machine learning.

Awards and Honors

Dr. Sathiyaraj Thambiayya has received several prestigious awards throughout his career. In December 2021, he was selected for the National Post-Doctoral Fellowship (NPDF) by the Science and Engineering Research Board (SERB), Government of India, which he carried out under the mentorship of Prof. Dhirendra Bahuguna at the Indian Institute of Technology Kanpur. This fellowship recognizes his excellence in mathematical research. In December 2013, Dr. Sathiyaraj was awarded the Senior Research Fellow by the Council of Scientific and Industrial Research (CSIR), New Delhi, India, which facilitated the completion of his Ph.D. degree. These honors reflect his exceptional academic and research contributions, particularly in the areas of stochastic processes, fractional calculus, and dynamic systems, positioning him as a leading researcher in applied mathematics and control theory.

Research Focus

Dr. Sathiyaraj Thambiayya’s research focuses on several advanced topics in applied mathematics, with particular emphasis on control systems, stochastic processes, fractional calculus, and machine learning applications for dynamic systems. His research interests include approximate controllability, optimal control, and the development of AI-based solutions for complex systems. His expertise lies in analyzing the qualitative behavior of dynamical systems, including fractional-order systems and stochastic differential equations. He has applied these methods to real-world problems, including the use of AI for the automated detection of diabetic retinopathy and the modeling of complex stochastic systems. His ongoing research explores the intersection of AI, control theory, and fractional calculus, particularly in dynamic and uncertain environments. Through these efforts, Dr. Sathiyaraj aims to develop innovative mathematical tools and techniques for tackling complex problems in engineering, healthcare, and other fields.

Publication Top Notes

  1. Controllability and optimal control for a class of time-delayed fractional stochastic integro-differential systems 📝🔧
  2. Ulam’s stability of Hilfer fractional stochastic differential systems 🧮🔍
  3. Controllability of stochastic nonlinear oscillating delay systems driven by the Rosenblatt distribution 🔄🌐
  4. ABC Fractional Derivative for the Alcohol Drinking Model using Two‐Scale Fractal Dimension 🍻📊
  5. Controllability of fractional higher order stochastic integrodifferential systems with fractional Brownian motion 🏗️🔢
  6. Null controllability results for stochastic delay systems with delayed perturbation of matrices 🕒📉
  7. Relative controllability of a stochastic system using fractional delayed sine and cosine matrices 🔢📏
  8. The controllability of fractional damped stochastic integrodifferential systems ⚙️📉
  9. Synchronization of butterfly fractional order chaotic system 🦋🌀
  10. Controllability of Hilfer fractional stochastic system with multiple delays and Poisson jumps 🔄🧮

 

 

Yuxun Zhu | Nonlinear dynamics | Best Researcher Award

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Ms. Yuxun Zhu | Nonlinear dynamics | Best Researcher Award

Doctoral student, Jiangsu University, China

Yuxun Zhu is a Ph.D. candidate at Jiangsu University, China, specializing in nonlinear dynamics and bifurcation analysis. He has earned recognition for his contributions to the study of Filippov systems and their application in pest control. Throughout his academic journey, Yuxun has led and contributed to several funded research projects, publishing numerous high-impact papers in renowned journals. As an active member of his academic community, he has held leadership roles, including Chairman of the Postgraduate Association. Along with his technical and academic prowess, Yuxun has demonstrated a strong commitment to extracurricular activities, earning multiple awards in academic competitions and scholarships. His research contributions and leadership in the field position him as a rising star in nonlinear dynamics, with a keen focus on the dynamics of ecological systems.

Profile

Scopus

Education

Yuxun Zhu is currently pursuing a Doctor of Philosophy at Jiangsu University, where his research delves into the complexities of nonlinear dynamics and bifurcation theory. His academic journey began at Jiangsu University, where he obtained his Bachelor of Science degree in 2019. During his doctoral studies, Yuxun has focused on studying Filippov systems with threshold control and their real-world applications, including pest control and ecological modeling. His academic achievements have been recognized through various awards, including first-class scholarships and the prestigious CSC Doctoral Joint Training Scholarship. With a strong academic foundation, he has successfully combined theory with practical applications, resulting in multiple publications in internationally recognized journals. Expected to graduate in 2025, Yuxun aims to continue contributing to the field of nonlinear dynamics and complex systems, with a particular emphasis on their role in ecology and environmental science.

Experience

Yuxun Zhu has actively participated in various academic and leadership roles during his time at Jiangsu University. As Chairman of the Postgraduate Association of his college, he demonstrated exceptional organizational skills and leadership abilities. His role involved coordinating events, fostering academic collaboration, and promoting student welfare within the postgraduate community. In addition to his leadership roles, Yuxun also served as Deputy Squad Leader of his postgraduate class, further showcasing his dedication to supporting his peers. His work in leadership was complemented by significant research contributions in nonlinear dynamics and ecological modeling. Through his active involvement in national research projects, he gained hands-on experience in managing and conducting high-level scientific research, particularly in the application of Filippov systems in pest control. His ability to balance academic responsibilities with leadership roles has prepared him well for future research leadership opportunities.

Research Focus

Yuxun Zhu’s research focuses on the dynamics of non-smooth and piecewise smooth systems, particularly in the realm of Filippov systems and bifurcation theory. His work explores the intricate behaviors of ecological systems, including pest-natural enemy interactions, under non-smooth dynamics. By applying threshold control strategies, he investigates how system stability and bifurcations affect the outcomes of these systems, particularly in the context of pest control. His research is not only theoretical but also applied, seeking practical solutions to ecological and environmental issues. Yuxun’s studies on discontinuity-induced bifurcations and their role in system behavior have been instrumental in developing effective pest control strategies. He aims to expand the understanding of non-smooth dynamics in real-world applications, contributing to fields such as ecology, environmental science, and engineering. Through his innovative research, Yuxun strives to bridge the gap between theoretical dynamics and practical ecological management.

Publication Top Notes

  • Y. Zhu, W. Zuo, J. Ji, Z. Zhang, “Bifurcations analysis of a 3D Filippov pest-natural enemy system with stage structure for the prey” Applied Mathematics and Computation 497 (2025) 129356 📚🔬
  • Y. Zhu, Z. Zhang, J. Ji, “Bifurcations of a Filippov ecological system with an A-type discontinuity boundary” Chaos, Solitons & Fractals 182 (2024) 114834 🌱🌍
  • Y. Zhu, Z. Zhang, J. Ji, “Sliding dynamics of a Filippov ecological system with nonlinear threshold control and pest resistance” Communications in Nonlinear Science and Numerical Simulation 135 (2024) 108052 🔄🐞
  • Y. Zhu, L. Liu, Z. Zhang, “Dynamics of a non-smooth pest-natural enemy model with the threshold control strategy” Physica Scripta 98 (7) (2023) 075208 📈🧮

 

 

 

Dr. Mohammed Elghandouri | Applied Mathematics |

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Dr. Mohammed Elghandouri | Applied Mathematics | Best Researcher Award

Postdoctoral position , Inria de Lyon, France.

Dr. Mohammed Elghandouri is a Moroccan-born researcher specializing in applied mathematics and computer science. He holds a Ph.D. from a joint doctoral program between Cadi Ayyad University (Morocco) and Sorbonne University (France), focusing on controllability and dynamic systems. Passionate about mathematical modeling, his work spans across various disciplines including epidemiology, optimal control, and integrodifferential equations. Currently, Dr. Elghandouri is a postdoctoral researcher at the Centre INRIA de Lyon, France, contributing to mathematical modeling of vector-borne diseases. With a deep commitment to research and education, he actively participates in conferences, training programs, and scientific communities globally.

Profile 

Education 🎓

Dr. Elghandouri completed his Ph.D. in applied mathematics and computer science through a joint doctoral program between Cadi Ayyad University in Morocco and Sorbonne University in France, where his thesis focused on controllability for nonlocal integrodifferential equations. Prior to his Ph.D., he obtained a Master’s degree in Mathematical Modeling and Dynamic Systems Analysis from Cadi Ayyad University. He also holds an International Master’s degree in Mathematics and Applications from Côte d’Azur University, France. His academic journey began with a Bachelor’s degree in Mathematical Sciences and Applications at Cadi Ayyad University. He has also attended numerous training courses and participated in workshops worldwide to refine his research and teaching skills.

Experience 💼

Dr. Elghandouri has extensive research experience, particularly in the areas of mathematical modeling, dynamic systems, and optimal control. He is currently a postdoctoral researcher at the Centre INRIA de Lyon, where he works on mathematical models for vector-borne diseases. Throughout his career, Dr. Elghandouri has collaborated with prestigious institutions, including Sorbonne University and Cadi Ayyad University, and has contributed to international conferences, workshops, and seminars in the fields of applied mathematics, epidemiology, and control theory. His research stay in France allowed him to enhance his expertise in complex systems modeling. Additionally, he has participated in various scientific and training activities, building strong interdisciplinary research connections.

Research Focus 🔬

Dr. Elghandouri’s research is focused on the controllability of dynamic systems, with special attention to integrodifferential equations and their applications in mathematical and computer modeling. His work encompasses topics like optimal control, epidemiological modeling, and the modeling of complex systems, particularly for public health applications such as vector-borne diseases. He is interested in the theoretical aspects of well-posedness, asymptotic behavior, and approximate controllability in infinite-dimensional systems, including those with nonlocal conditions. His work is interdisciplinary, bridging applied mathematics with epidemiology, environmental sciences, and computational modeling. Dr. Elghandouri is dedicated to exploring new mathematical models that can solve real-world problems in public health and beyond.

Publications 📚

  • Approximation of Mild Solutions of Delay Integro-Differential Equations on Banach Spaces
  • Approximate Controllability for Some Integrodifferential Evolution Equations with Nonlocal Conditions
  • Well-Posedness and Approximate Controllability for Some Integrodifferential Evolution Systems with Multi-Valued Nonlocal Conditions
  • Exploring Well-Posedness and Asymptotic Behavior in an Advection-Diffusion-Reaction (ADR) Model
  • Optimal Control of General Impulsive VS-EIAR Epidemic Models with Application to COVID-19
  • Approximate Controllability for Nonautonomous Integrodifferential Equations with State-Dependent Delay
  • On The Approximate Controllability for Fractional Neutral Inclusion Systems With Nonlocal Conditions
  • Regional Control Strategies for a Spatiotemporal SQEIAR Epidemic Model: Application to COVID-19
  • Approximate Controllability for Some Nonlocal Integrodifferential Equations in Banach Spaces
  • Dynamical Analysis and Numerical Simulation of a Reaction-Diffusion Model for Microbial Decomposition of Organic Matter in 3D Soil Structure