Prof. Lenka Přibylová | Applied Mathematics | Best Researcher Award

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.

Dr. Mohammed Elghandouri | Applied Mathematics |

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