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