Bagher Zarei | Machine Learning | Best Researcher Award

Dr. Bagher Zarei | Machine Learning | Best Researcher Award

Dr at IAU, Iran

Dr. Bagher Zarei is an accomplished computer engineering expert and a faculty member at the Department of Computer Engineering, Shabestar Branch, Islamic Azad University in Iran. With a Ph.D. in Computer Engineering, Dr. Zarei’s research spans complex networks, social network analysis, evolutionary algorithms, and chaos theory. His scholarly work has contributed to significant advancements in fields such as learning automata and soft computing, with publications in renowned journals like Chaos and The Journal of Supercomputing. As a dedicated educator, he teaches courses in complex networks, AI, and data structures, actively mentoring future engineers and researchers.

Publication Profile

Scholar

Education 🎓

Ph.D. in Computer Engineering Institution: Islamic Azad University, Qazvin Branch (2014–2020) Supervisor: Dr. Mohammad Reza Meybodi Co-Supervisor: Dr. Behrouz Masoumi, Thesis: “Community Structure Detection in Complex Networks Using Evolutionary Algorithms and Learning Automata Based on Chaos Theory”. M.Sc. in Computer Engineering Institution: Islamic Azad University, Qazvin Branch (2004–2006) Supervisor: Dr. Mohammad Reza Meybodi Thesis: “Solving Complex Problems Using a Hybrid Approach (Genetic Algorithms + Learning Automata)”. B.Sc. in Computer Engineering Institution: Islamic Azad University, Shabestar Branch (2000–2004) Supervisor: Dr. Ali Farzan, Thesis: “Design, Analysis, and Implementation of a Central Laboratory System for Tabriz”

Experienceđź’Ľ

Dr. Zarei is a faculty member at Islamic Azad University, Shabestar Branch, where he has taught courses on complex networks, evolutionary algorithms, artificial intelligence, and algorithm design. His academic role also extends to the Tabriz Branch, where he educates students in programming, data structures, and systems simulation. With a decade of experience in teaching and research, Dr. Zarei has also co-authored several articles on complex network analysis, applying his expertise in courses and workshops that foster student engagement in advanced computing disciplines.

Awards and Honors 🏆

Dr. Zarei has been recognized for his research contributions to computer engineering, specifically in the areas of evolutionary algorithms and chaos theory. His collaborative work has led to multiple publications in high-impact journals. Notable acknowledgments of his contributions include awards for his groundbreaking studies in complex networks and soft computing. His scholarly pursuits have positioned him as a thought leader in the application of chaos theory in social network analysis, with his research frequently cited by peers globally.

Research Focus 🔬

Dr. Zarei’s research is concentrated on soft computing, complex networks, social network analysis, evolutionary algorithms, learning automata, and chaos theory. His work aims to solve intricate problems using hybrid methodologies, notably combining genetic algorithms with learning automata. Dr. Zarei’s recent projects explore the detection of community structures in networks, advancing the field by using chaos theory principles. His research provides innovative solutions to improve network analysis techniques, making strides in understanding patterns within social and computational networks.

Conclusion 🎓

Dr. Bagher Zarei’s expertise in computer engineering, particularly in the realms of soft computing, complex networks, and evolutionary algorithms, makes him a compelling candidate for the “Best Researcher Award.” His commitment to teaching and his innovative research contributions demonstrate his dedication to both academic and applied advancements in computer science. Continued emphasis on practical collaborations and international exposure would further strengthen his candidacy and broaden the influence of his work.

Publication Top Notes

  • Novel Cluster-Based Routing Protocol in Wireless Sensor Networks
    • Journal: International Journal of Computer Science Issues (IJCSI)
    • Date: 2010
    • Citations: 71

 

  • Detecting Community Structure in Complex Networks Using Genetic Algorithm Based on Object Migrating Automata
    • Journal: Computational Intelligence
    • Date: 2020
    • Citations: 20

 

  • A Hybrid Method for Solving Traveling Salesman Problem
    • Conference: 6th IEEE/ACIS International Conference on Computer and Information Science
    • Date: 2007
    • Citations: 17

 

  • Chaotic Memetic Algorithm and Its Application for Detecting Community Structure in Complex Networks
    • Journal: Chaos: An Interdisciplinary Journal of Nonlinear Science
    • Date: 2020
    • Citations: 12

 

  • A Source-Code Aware Method for Software Mutation Testing Using Artificial Bee Colony Algorithm
    • Journal: Journal of Electronic Testing
    • Date: 2022
    • Citations: 10

 

  • A Scalable Lookup Service for P2P File Sharing in MANET
    • Conference: International Conference on Wireless Communications
    • Date: 2007
    • Citations: 10

 

  • Improving Learning Ability of Learning Automata Using Chaos Theory
    • Journal: The Journal of Supercomputing
    • Date: 2021
    • Citations: 8

 

  • A New Evolutionary Model Based on Cellular Learning Automata and Chaos Theory
    • Journal: New Generation Computing
    • Date: 2022
    • Citations: 4

 

Chamoun Georges | Applied Mathematics | Best Researcher Award

Dr. Chamoun Georges | Applied Mathematics | Best Researcher Award

Dr. Chamoun Georges Saint Joseph University of Beirut (USJ),  Lebanon

Georges Chamoun, born on August 16, 1988, in Zahlé, Lebanon, is a full-time assistant professor at the University of Saint Joseph (USJ), Lebanon. He holds a Ph.D. in Mathematics, co-directed by Ecole Centrale de Nantes and the Lebanese University. With a deep academic background, Chamoun specializes in applied mathematics, focusing on numerical analysis, partial differential equations, and fluid dynamics. Alongside his teaching role, he has contributed to academic research and led training sessions in MATLAB. Georges is a valued member of research teams in Lebanon and France, actively participating in mathematical applications in biology.

Publication Profile

Orcid

Google Scholar

🎓 Education

Ph.D. in Mathematics (2014), Ecole Centrale de Nantes & Lebanese University, focused on mathematical and numerical studies in chemotaxis-fluid models for biology.  Master II in Research (2011), Lebanese University, specializing in PDEs and numerical analysis, with a thesis on mathematical modeling of vesicles in free fall, completed in collaboration with Joseph Fourier University, Grenoble. Master I in Pure Mathematics (2010), Lebanese University.  Bachelor’s degree in Pure Mathematics (2009), Lebanese University, Faculty of Sciences, Fanar.  Lebanese Baccalaureate in General Sciences (2006), Collège des Pères Antonins, Baabda.

đź“š Experience

Full-time assistant professor at USJ, Lebanon (2021 – present), teaching hyperbolic systems, calculus, and MATLAB.  MATLAB Trainer at American University of the Emirates (2019-2021).  Part-time teacher at USEK, Sagesse University, NDU, and Lebanese University, delivering courses in calculus, numerical analysis, and more (2014-2021). Research team member at Lebanese University’s EDST, contributing to studies in mathematical applications in biology (2014-2021). 🇫🇷 Part-time teacher at Ecole Centrale de Nantes, France, in analysis and engineering courses (2011-2012).

🏆 Awards and Honors

Ph.D. completed in co-direction between prestigious institutions: Ecole Centrale de Nantes and Lebanese University.  Participated in an academic exchange at the University of Joseph Fourier, Grenoble, France, for research on mathematical modeling in physics. Membership in notable mathematics research teams in France and Lebanon, contributing to advancements in numerical analysis and fluid dynamics.  Supervised under the guidance of renowned professors Mazen Saad and Raafat Talhouk during Ph.D. research, recognized for academic excellence.  Recognition for extensive teaching experience across leading universities in Lebanon, including USJ, USEK, and NDU.

🔬 Research Focus

Georges Chamoun’s research centers on mathematical and numerical analysis, particularly applied to biological systems. His Ph.D. thesis focused on chemotaxis-fluid models, exploring mathematical applications in biology for better understanding fluid dynamics in biological environments.  Expertise in partial differential equations (PDEs), numerical methods, variational problems, and mathematical modeling of biological processes such as vesicle movement. Special interest in the mathematical modeling of complex systems, contributing to interdisciplinary research in applied mathematics and biology. Ongoing work involves exploring numerical analysis techniques for resolving hyperbolic systems and contributing to innovations in biological and engineering mathematics.

🔍 Conclusion

Georges Chamoun is a highly accomplished researcher with strong academic credentials, teaching experience, and research contributions, particularly in the application of mathematics to biological systems. His expertise in numerical analysis, PDEs, and fluid dynamics makes him a valuable asset to both the mathematical and biological research communities. While increasing his publication impact and real-world applications could further enhance his profile, Chamoun is a strong candidate for the Best Researcher Award, thanks to his interdisciplinary research, academic dedication, and collaborative work.

Publication Top Notes  

  • Monotone combined edge finite volume–finite element scheme for anisotropic Keller–Segel model
    • Numerical Methods for Partial Differential Equations, 2014
    • Cited by: 39

 

  • A coupled anisotropic chemotaxis-fluid model: The case of two-sidedly degenerate diffusion
    • Computers & Mathematics with Applications, 2014
    • Cited by: 25

 

  • Numerical analysis of a chemotaxis–swimming bacteria model on a general triangular mesh
    • Applied Numerical Mathematics, 2018
    • Cited by: 15

 

  • Mathematical and Numerical Analysis of a Modified Keller-Segel Model with General Diffusive Tensors
    • Biomath, 2013
    • Cited by: 7

 

  • Mathematical Analysis of Parabolic Models with Volume-Filling Effect in Weighted Networks
    • Journal of Dynamics and Differential Equations, 2021
    • Cited by: 4

 

  • Asymptotic behavior of solutions of a nonlinear degenerate chemotaxis model
    • Discrete and Continuous Dynamical Systems-B, 2020
    • Cited by: 3

 

  • Numerical simulation of heterogeneous steady states for a reaction-diffusion degenerate Keller-Segel model
    • Progress in Industrial Mathematics at ECMI 2018, 2019
    • Cited by: 2

 

  • Étude mathĂ©matique et numĂ©rique de modèles en chimiotaxie-fluide et applications Ă  la biologie
    • Ecole Centrale de Nantes (ECN), 2014
    • Cited by: 1

 

  • Mathematical and numerical study of chemotaxis-fluid models and applications in biology
    • HAL, 2014
    • Cited by: 1

 

  • Mathematical analysis and asymptotic predictions of chemical-driven swimming living organisms in weighted networks
    • Computers & Mathematics with Applications, 2024
    • Cited by: 1