Assoc. Prof. Dr. Mehri Bagherian | Bi-Clique Finding | Best Researcher Award
Operations Research at University of Guilan, Iran📖
Dr. Mehri Bagherian is an Associate Professor of Applied Mathematics at the Faculty of Mathematical Sciences, University of Guilan, Rasht, Iran. With extensive expertise in operations research, network flows, and applied mathematics, she has established herself as a distinguished researcher and academician. Over the years, Dr. Bagherian has made substantial contributions to advancing mathematical models and algorithms for complex problems, reflected in her numerous publications in high-impact journals.
Profile
Education Background🎓
Dr. Bagherian holds a Ph.D. in Applied Mathematics, specializing in Network Flows, from the University of Tehran, Iran. She also earned her Master of Science in Applied Mathematics with a focus on Operations Research from Amir Kabir University of Technology, Tehran, and a Bachelor of Science in Applied Mathematics from the University of Tehran.
Professional Experience🌱
Dr. Bagherian has been an integral part of the University of Guilan, serving as an Associate Professor. Her academic and research pursuits focus on mathematical modeling, optimization, and the application of operations research to real-world problems. She has successfully supervised numerous research projects and has been an active contributor to the global scientific community through her extensive publication record.
Dr. Bagherian’s research interests lie in network flows, binary linear programming, heuristic algorithms, game theory, multi-objective optimization, and bioinformatics. She has a particular focus on solving computational problems related to haplotype assembly, supply chain management, and cloud computing.
Author Metrics
Dr. Bagherian has published over 23 research articles in reputed international journals such as The Journal of Supercomputing, Computers & Industrial Engineering, BMC Bioinformatics, and Telecommunication Systems. Her work is widely recognized, with citations demonstrating the impact of her research on fields including applied mathematics, computational biology, and operations research.
1. “3D UAV Trajectory Planning Using Evolutionary Algorithms: A Comparison Study”
- Authors: M. Bagherian, A. Alos
- Journal: The Aeronautical Journal, 119 (1220), pp. 1271-1285
- Year: 2015
- Citations: 48
- Summary: This study compares various evolutionary algorithms for 3D trajectory planning of unmanned aerial vehicles (UAVs). It provides valuable insights into optimizing flight paths for efficiency and safety.
2. “A New Model for Optimal TF/TA Flight Path Design Problem”
- Authors: R. Zardashti, M. Bagherian
- Journal: The Aeronautical Journal, 113 (1143), pp. 301-308
- Year: 2009
- Citations: 14
- Summary: This work introduces an innovative model for Terrain Following (TF) and Terrain Avoidance (TA) flight path design, addressing critical challenges in aviation safety and navigation.
3. “A Multi-Objective Imperialist Competitive Algorithm (MOICA) for Finding Motifs in DNA Sequences”
- Authors: S.A. Gohardani, M. Bagherian, H. Vaziri
- Journal: Mathematical Biosciences and Engineering, 16 (3), pp. 1575-1596
- Year: 2019
- Citations: 11
- Summary: This research applies a multi-objective optimization algorithm to identify motifs in DNA sequences, advancing computational biology and genetic research.
4. “Issues on DEA Network Models of Färe & Grosskopf and Kao”
- Authors: R. Feizabadi, M. Bagherian, S.S. Moghadam
- Journal: Computers & Industrial Engineering, 128, pp. 727-735
- Year: 2019
- Citations: 10
- Summary: This paper addresses critical challenges and proposes refinements to Data Envelopment Analysis (DEA) network models, enhancing their application in efficiency analysis.
5. “Unmanned Aerial Vehicle Terrain Following/Terrain Avoidance/Threat Avoidance Trajectory Planning Using Fuzzy Logic”
- Author: M. Bagherian
- Journal: Journal of Intelligent & Fuzzy Systems, 34 (3), pp. 1791-1799
- Year: 2018
- Citations: 10
- Summary: This study leverages fuzzy logic to optimize UAV trajectory planning, focusing on terrain and threat avoidance for increased mission success.
Conclusion
Assoc. Prof. Dr. Mehri Bagherian is an exceptional candidate for the Best Researcher Award. Her academic rigor, impactful publications, and innovative approaches make her a strong contender. To further strengthen her profile, she could focus on increasing her research’s interdisciplinary reach and broader societal impact. However, her contributions to mathematical modeling, optimization, and applied operations research are already commendable, and she is highly deserving of recognition for her achievements.
