Emir Seyyedabbasi is an associate professor of computer engineering at Istinye University, Turkey. He earned his B.Sc., M.Sc., and Ph.D. degrees in computer engineering. His research interests include meta-heuristic algorithms, design of routing protocols in wireless sensor networks, and IoT. Dr. Seyyedabbasi has published several articles in prestigious journals. In addition, he serves as a reviewer for some journals. He is interested in developing and proposing new and hybrid optimization algorithms.
Emir Seyyedabbasi is an associate professor of computer engineering at Istinye University, Turkey. He earned his B.Sc., M.Sc., and Ph.D. degrees in computer engineering. His research interests include meta-heuristic algorithms, design of routing protocols in wireless sensor networks, and IoT. Dr. Seyyedabbasi has published several articles in prestigious journals. In addition, he serves as a reviewer for some journals. He is interested in developing and proposing new and hybrid optimization algorithms.
Articles
Transferable CNN-based data mining approaches for medical imaging: application to spine DXA scans for osteoporosis detection ,2026
A Hybrid Multi-Strategy Optimization Metaheuristic Algorithm for Multi-Level Thresholding Color Image Segmentation ,2025
Fairness-based federated learning in autonomous vehicles with exponential moving average loss weighting ,2025
Maximizing coverage and maintaining connectivity in WSN and decentralized IoT: an efficient metaheuristic-based method for environment-aware node deployment ,2022
Wireless Sensor Network and Internet of Things in Precision Agriculture ,2018
Reports
A Hybrid Metaheuristic Algorithm for the Localization Mobile Sensor Nodes - KIRTIL Hasan Sancar,SEYYEDABBASİ EMİR
Solve the Inverse Kinematics of Robot Arms using Sand Cat Swarm Optimization (SCSO) Algorithm - SEYYEDABBASİ EMİR
Books
Engineering Applications of Modern Metaheuristics – 2022
Decision Making in Healthcare Systems – Springer
Decision Making in Healthcare Systems – Springer
Decision-Making Models: A Perspective of Fuzzy Logic and Machine Learning – Elsevier
Decision-Making Models: A Perspective of Fuzzy Logic and Machine Learning – Elsevier
