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

VLADICA STOJANOVIC | Applied Mathematics | Best Scholar Award

Dr VLADICA STOJANOVIC | Applied Mathematics | Best Scholar Award

Full Professor ,University of Criminal Investigation and Police Studies ,Serbia

Vladica Stojanović is a Serbian mathematician and full professor at the University of Criminal Investigation and Police Studies, Belgrade, specializing in applied mathematics. With over 25 years of experience in academia, he has contributed significantly to various mathematical fields, especially in probability theory, time series analysis, and cryptography. His work has gained recognition for its interdisciplinary applications in cybersecurity, financial modeling, and engineering. Beyond his academic roles, Stojanović is a senior consultant in cryptology for cybersecurity, emphasizing his expertise in real-world problem-solving. He holds prestigious positions in academic councils and has earned accolades, including the 2022 Outstanding Reviewer Award from Mathematics (MDPI). His research continues to influence contemporary statistical modeling and data analysis, with a strong focus on practical applications in diverse industries.

Profile

Strengths for the Best Researcher Award

  1. Extensive Academic Background and Experience:
    • Professor Stojanović’s long and diverse academic career, spanning over 25 years, demonstrates a deep commitment to both teaching and research. His work has influenced the fields of applied mathematics, cryptology, and statistical modeling, particularly in areas such as time series analysis, dynamic processes, and probability distributions.
    • His extensive teaching experience as an Assistant Professor, Associate Professor, and Full Professor at multiple institutions, including the University of Criminal Investigation and Police Studies and the University of Priština, is commendable.
  2. Research Contributions:
    • His prolific publication record is impressive, with numerous articles in high-impact journals. Notably, his work on Poisson-Lindley processes, zero-and-one integer-valued time series, and probability generating functions for non-negative integer-valued time series has provided new methodologies and applications in dynamic analysis and financial modeling.
    • His work is widely cited in applied mathematics and statistical modeling, demonstrating his influence in the field. For instance, the article “Poisson-Lindley Minification INAR Process with Application to Financial Data” is already attracting significant attention (1 citation), suggesting its relevance in real-world applications.
    • His research also extends to interdisciplinary applications, such as cryptography for cybersecurity and modeling in environmental and engineering data, showcasing his ability to bridge different scientific domains.
  3. Awards and Recognition:
    • Professor Stojanović’s recognition as the Outstanding Reviewer Award in 2022 by Mathematics (MDPI) underscores his expertise in reviewing and contributing to the academic community.
    • His position as a Senior Consultant in Cryptology for the Cybersecurity facility in the Data Center Innovation District further highlights his leadership and expertise in applied mathematics beyond academia.
  4. Leadership and Service:
    • His leadership roles in academia, such as being the Head of the Mathematics Department and a member of various councils at the Faculty of Sciences in Kosovska Mitrovica, indicate his strong commitment to advancing the educational and research missions of his institutions.
    • His involvement in a wide range of committees demonstrates his active engagement with the academic community and his influence on shaping the future of the department and faculty.

Areas for Improvement

  1. Collaborative Research and Networking:
    • While Professor Stojanović has contributed significantly to his field, increasing his collaboration with international researchers and expanding his networking could lead to further interdisciplinary projects. Although he has published extensively in journals, fostering deeper collaborations in international research teams could broaden the impact of his work.
  2. Diversification of Research Applications:
    • Although his work is highly technical and theoretical, expanding his research into more diverse real-world applications (e.g., health, climate modeling, or policy analysis) could increase the societal impact of his contributions. His work in cryptology and dynamic analysis is promising, and applying these models to emerging global challenges could strengthen his academic portfolio.
  3. Increased Outreach and Public Engagement:
    • Engaging in public outreach activities, such as contributing to popular science forums or collaborating with industry, could raise his profile further and enhance the societal impact of his work.

Education

Stojanović earned his Bachelor’s degree in Mathematics from the University of Priština in Kosovska Mitrovica, followed by a Master’s degree and a PhD in Applied Mathematics from the same institution. His educational foundation in mathematics, coupled with his subsequent academic and research roles, laid the groundwork for his extensive contributions to the field. Throughout his career, Stojanović has continually enhanced his knowledge through further research and collaboration, earning multiple credentials in applied mathematics and contributing to the academic development of students and colleagues. His ongoing pursuit of excellence in mathematics, combined with his commitment to education and research, has solidified his reputation as a leading scholar in his field.

Experience

Vladica Stojanović’s academic career spans multiple prestigious positions. He began his journey as a Teaching Assistant at the Faculty of Economics, University of Priština, before transitioning to higher education roles. His progression to Assistant Professor, Associate Professor, and finally Full Professor at both the University of Priština and the University of Criminal Investigation and Police Studies underscores his academic growth. He has served as the Head of the Mathematics Department and been an active member of several academic councils, contributing to the development of the Mathematics curriculum and research initiatives. Alongside his teaching roles, Stojanović has been instrumental in applied research, especially in fields such as cryptology, time series analysis, and dynamic systems modeling. His leadership roles in the academic community and his interdisciplinary expertise have earned him recognition on both a national and international level.

Research Focus

Stojanović’s research primarily focuses on applied mathematics, with a strong emphasis on probability theory, time series analysis, statistical modeling, and cryptography. His contributions to the field of dynamic analysis and probability distributions have made him a leading expert in areas like Poisson-Lindley processes and integer-valued time series. He is particularly known for his work on non-negative integer-valued time series, where he applies probability generating functions for model estimation. His research also addresses real-world problems such as financial data modeling, environmental data analysis, and cybersecurity. Additionally, Stojanović’s interdisciplinary approach has led to significant collaborations with experts in fields like engineering, economics, and cryptology, ensuring that his mathematical models have practical applications in a wide range of industries, from energy markets to cybersecurity.

Publications

  • Laplace-Logistic Unit Distribution with Application in Dynamic and Regression Analysis 📝
  • Poisson-Lindley Minification INAR Process with Application to Financial Data 📉
  • Unit Exponential Probability Distribution: Characterization and Applications in Environmental and Engineering Data Modeling 🌍
  • Laplacian Split-BREAK Process with Application in Dynamic Analysis of the World Oil and Gas Market 🌐
  • Zero-and-One Integer-Valued AR(1) Time Series with Power Series Innovations and Probability Generating Function Estimation Approach 🔢
  • Parameters Estimation in Non-Negative Integer-Valued Time Series: Approach Based on Probability Generating Functions 📊
  • Cauchy Split-Break Process: Asymptotic Properties and Application in Securities Market Analysis 💹
  • Asymptotic Properties and Application of GSB Process: A Case Study of the COVID-19 Dynamics in Serbia 🦠
  • One Aggregated Approach in Multidisciplinary Based Modeling to Predict Further Students’ Education 🎓
  • Modeling Electrostatic Potential in FDSOI MOSFETs: An Approach Based on Homotopy Perturbations

Conclusion

Professor Vladica Stojanović is a highly qualified candidate for the Best Researcher Award. His sustained academic career, demonstrated through a rich body of research in applied mathematics, time series analysis, and cryptology, along with his recognized leadership and teaching excellence, positions him as a highly influential figure in his field. His work not only contributes to the academic community but also to practical applications in diverse domains like cybersecurity, financial data analysis, and dynamic systems modeling.

Despite some opportunities for increasing international collaboration and expanding the scope of his research to address broader societal issues, his academic achievements and impact are undeniable. His recognition as an outstanding reviewer and his leadership in academic committees further exemplify his contributions to the scientific community.

Thus, Professor Stojanović is undoubtedly deserving of the Best Researcher Award, and his future work will likely continue to shape and advance the field of applied mathematics and its applications.

Sonia Akram | Applied Mathematics | Best Researcher Award

Ms. Sonia Akram | Applied Mathematics | Best Researcher Award

Researcher at University of Gujrat, Pakistan

Sonia Akram, born on February 4, 1998, in Gujrat, Pakistan, is a dedicated researcher in the field of Applied Mathematics, specializing in Soliton Theory. She completed her M.Phil from the University of Gujrat in August 2023, achieving a perfect CGPA of 4.00. With a remarkable portfolio of 20 published research articles, Sonia’s work is recognized in reputable peer-reviewed journals. Passionate about advancing mathematical physics, she aims to incorporate artificial intelligence into her future research. Sonia actively participates in conferences to share her insights and collaborate with fellow researchers. Her academic journey reflects her commitment to contributing to the advancement of knowledge in her field.

Profile:

Scopus Profile

Strengths for the Award:

  1. Strong Academic Background:
    • Sonia holds an M.Phil in Applied Mathematics with a perfect CGPA, showcasing her academic excellence.
    • Her thesis focuses on a relevant and advanced topic in mathematical physics, indicating a deep understanding of her field.
  2. Significant Research Output:
    • She has published 20 research articles in reputable peer-reviewed journals, highlighting her productivity and commitment to research.
    • Her recent work involves complex analyses such as Lie Symmetry, Bifurcation, Chaos, and Sensitivity Analysis, demonstrating her versatility and depth of knowledge.
  3. Innovative Research Interests:
    • Sonia’s plan to integrate Neural Network modeling into her research indicates a forward-thinking approach, bridging traditional mathematics with modern artificial intelligence.
  4. Recognition and Awards:
    • She has received a gold medal for her performance in her Master’s program and has been recognized with a merit-based laptop from the Prime Minister of Pakistan, showcasing her achievements.
  5. International Engagement:
    • Participation in international conferences indicates her willingness to engage with the global research community and stay updated with current trends.

Areas for Improvement:

  1. Networking and Collaboration:
    • While she has published multiple articles, fostering collaborations with researchers from different fields could further enhance her research profile and introduce her to new methodologies.
  2. Broader Impact:
    • Emphasizing the practical applications of her research in real-world scenarios could strengthen her research narrative and appeal to a wider audience.
  3. Public Outreach:
    • Engaging in community outreach or educational initiatives to promote mathematics and its applications could enhance her visibility and demonstrate her commitment to the field beyond academia.
  4. Diversity of Research Topics:
    • While her current focus is impressive, diversifying her research topics could open new avenues and strengthen her overall impact in the field.

Education:

Sonia Akram holds an M.Phil in Applied Mathematics from the University of Gujrat, where she graduated with a perfect CGPA of 4.00 in August 2023. Her thesis focused on the “Wave Structure of Some Nonlinear Dynamical Models Arise in Mathematical Physics,” demonstrating her expertise in advanced mathematical concepts. Prior to her M.Phil, she earned a Master’s degree in Mathematics from the same institution (2018-2021) and a Bachelor’s degree in Science (2016-2018), laying a solid foundation in mathematics and statistics. Sonia’s academic training encompasses various areas of natural sciences, enhancing her analytical and problem-solving skills. Her educational achievements underscore her commitment to excellence and her potential to contribute significantly to the field of applied mathematics.

Experience:

Sonia Akram has gained valuable experience in research and academia through her extensive work in Applied Mathematics. During her M.Phil studies, she focused on soliton and lump solutions of nonlinear dynamical models, contributing to her field with 20 research publications. Her collaboration with prominent researchers has enabled her to engage in significant studies, including modulation instability analysis and bifurcation analysis. In addition to her research, Sonia has attended several academic conferences, such as the “1st International Alumni’s Mathematics UET Conference” in February 2022, where she presented her findings and networked with fellow researchers. This experience has allowed her to refine her communication skills and enhance her professional network. Sonia’s commitment to advancing mathematical research positions her as an emerging expert in her field.

Awards and Honors:

Sonia Akram has received several prestigious awards recognizing her academic excellence and research contributions. She was honored as a gold medalist during her Master’s program in Mathematics at the University of Gujrat, highlighting her exceptional academic performance. Additionally, she was awarded a merit-based laptop from the Prime Minister of Pakistan, which underscores her dedication and hard work in the field of mathematics. These accolades not only reflect Sonia’s academic achievements but also serve as motivation for her continued pursuit of knowledge and research excellence. Her accomplishments position her as a strong candidate for further awards and recognition in her academic and research endeavors, inspiring future generations of mathematicians.

Research Focus:

Sonia Akram’s research focuses on soliton theory and nonlinear dynamical models in both classical and fractional forms. She employs linear stability theory to analyze modulation instability and has published 20 articles in reputable peer-reviewed journals. Her work explores advanced topics such as Lie Symmetry Analysis, Bifurcation Analysis, and Chaos Theory, showcasing her versatility in applied mathematics. Recently, she has extended her research to include sensitivity analysis of various nonlinear models, further enhancing the depth of her studies. Sonia is also planning to integrate neural network modeling in artificial intelligence into her future research, bridging the gap between traditional mathematics and modern computational methods. Her commitment to advancing knowledge in applied mathematics reflects her passion for solving complex problems and contributing to the scientific community.

Publications Top Notes:

  1. Soliton solutions for some higher order nonlinear problems of mathematical engineering, Nonlinear Engineering. Modeling and Application (2023).
  2. Soliton solutions and sensitive analysis to nonlinear wave model arising in optics, Physica Scripta, 2024.
  3. Propagation of solitary wave solutions to (4+1)-dimensional Davey–Stewartson–Kadomtsev–Petviashvili equation arise in mathematical physics and stability analysis, 2024.
  4. Stability analysis and solitonic behaviour of Schrödinger’s nonlinear (2+1) complex conformable time fractional model, Optical and Quantum Electronics, 2024.
  5. Dispersive optical soliton solutions to the truncated time M-fractional paraxial wave equation with its stability analysis, 2024.
  6. Dynamical behaviors of analytical and localized solutions to the generalized Bogoyavlvensky–Konopelchenko equation arising in mathematical physics, 2024.
  7. Stochastic wave solutions of fractional Radhakrishnan–Kundu–Lakshmanan equation arising in optical fibers with their sensitivity analysis, 2024.
  8. Analysis of bifurcation, chaotic structures, lump and M − W-shape soliton solutions to (2 + 1) complex modified Korteweg-de-Vries system, 2024.
  9. Retrieval of diverse soliton, lump solutions to a dynamical system of the nonlinear Biswas–Milovic equation and stability analysis, 2024.
  10. Stability analysis and soliton solutions of truncated M-fractional Heisenberg ferromagnetic spin chain model via two analytical methods, 2024.
  11. Analysis of new soliton type solutions to generalized extended (2 + 1)-dimensional Kadomtsev-Petviashvili equation via two techniques, 2024.

Conclusion:

Sonia Akram is a promising researcher with a solid foundation in applied mathematics and a notable publication record. Her innovative approach to integrating AI into her research, coupled with her academic achievements, positions her as a strong candidate for the Best Researcher Award. By addressing some areas for improvement, particularly in networking and broader impact, she can further elevate her research profile and contribution to the field. Recognizing her efforts with this award would not only honor her achievements but also encourage her continued growth and innovation in mathematical research.