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.

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 📈🧮

 

 

 

Zhilong He | Nonlinear Systems Theory and Control | Best Researcher Award

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Assoc. Prof. Dr. Zhilong He | Nonlinear Systems Theory and Control | Best Researcher Award

Assoc. Prof. Dr. Zhilong He, Xinjiang University, China

Dr. Zhilong He is a dedicated academic and researcher currently serving as a teacher at Xinjiang University in Urumqi, China, since May 2023. He holds a Doctorate from Southwest University (Chongqing, CN) and a Master’s degree from Xinjiang University. With a strong interdisciplinary background in mathematics, system science, and engineering, Dr. He has established himself as an expert in nonlinear systems and control theory. His academic journey blends both education and innovative research, contributing to fields such as multi-agent systems, epidemic modeling, and ecological dynamics. Dr. He’s work is recognized globally, with numerous publications in high-impact journals. He is passionate about advancing mathematical models for real-world challenges and fostering the next generation of scholars through teaching and mentoring.

Profile

Education

Dr. Zhilong He earned his PhD in Electronic and Information Engineering from Southwest University, Chongqing, in 2021. His doctoral research focused on advanced control systems and dynamical systems. He also completed his Master’s degree in Mathematics and System Science at Xinjiang University, Ürümqi, in 2015. His Master’s research addressed the mathematical modeling of ecological systems, including competitive species and impulsive systems. During his studies, Dr. He gained comprehensive knowledge in system theory, nonlinear dynamics, and mathematical modeling, which formed the basis of his research career. His education has been instrumental in shaping his research approach, combining theoretical mathematics with practical applications in engineering and systems control. Dr. He continues to contribute to both the academic community and the educational development of students in the fields of applied mathematics and systems science at Xinjiang University.

Experience

Dr. Zhilong He is currently serving as a teacher at Xinjiang University (2023-present), where he is a faculty member in the College of Mathematics and System Science. In this role, he teaches courses related to mathematics, system science, and control theory, and actively participates in student mentorship and academic development. Prior to this position, Dr. He completed his PhD at Southwest University, where he focused on dynamic systems and control theory. His academic and professional journey has involved extensive research collaborations with experts in the field, resulting in numerous publications in high-impact journals. Additionally, he has presented his research at international conferences and contributed to peer-reviewed publications that address real-world problems in epidemic modeling, ecological dynamics, and nonlinear systems. His work bridges theoretical and applied mathematics, and he continues to mentor and inspire students and young researchers at Xinjiang University.

Research Focus

Dr. Zhilong He’s research focuses on nonlinear dynamical systems, control theory, and mathematical modeling applied to real-world problems. His expertise includes multi-agent systems, impulsive control systems, and mathematical approaches to ecological dynamics. A significant portion of his work is dedicated to edge event-triggered control and state-constraint impulsive consensus in nonlinear multi-agent systems, exploring the stability and control of complex networks. Dr. He’s interdisciplinary approach also extends to epidemic modeling, particularly in resource-limited environments, where his research integrates state-dependent feedback control strategies. He has contributed extensively to the study of ecological systems, including species competition and pest management, using mathematical tools to address environmental issues. Dr. He’s research has practical applications in various fields, such as environmental conservation, public health, and system design. His focus on mathematical modeling in these areas aims to provide solutions to complex global challenges through advanced theoretical frameworks.

Publication Top Notes

  1. Edge Event-Triggered Control and State-Constraint Impulsive Consensus for Nonlinear Multi-Agent Systems 🧮💡
    Authors: You, L.; Li, C.; Zhang, X.; He, Z.
  2. Revisiting Memristor Properties 🔌🔬
    Authors: Chen, L.; He, Z.; Li, C.; Wen, S.; Chen, Y.
  3. The Existence and Stability Analysis of Periodic Solution of Izhikevich Model 🧠📈
    Authors: He, Z.
  4. On Existence and Continuation of Solutions of the State-Dependent Impulsive Dynamical System with Boundary Constraints 📚🔐
    Authors: He, Z.
  5. Nonlinear State-Dependent Feedback Control Strategy in the SIR Epidemic Model with Resource Limitation 🦠💉
    Authors: He, Z.
  6. Dynamics Analysis of a Two-Species Competitive Model with State-Dependent Impulsive Effects 🌱🌍
    Authors: He, Z.
  7. Periodic Solution of a Two-Species Competitive Model with State-Dependent Impulsive Replenish the Endangered Species 🌿🦋
    Authors: He, Z.
  8. The Effect of Pulse Vaccination and Treatment on SIR Epidemic Model with Media Impact 💪📺
    Authors: He, Z.