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Academic Member

Assoc. Prof. Emir Seyyedabbasi

Bilgisayar Mühendisliği
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
  • Designing a dynamic protocol for real-time Industrial Internet of Things-based applications by efficient management of system resources ,2019
  • Decrease Electricity Consumption in Rooms with IoT Technology ,2020
  • HEEL: A new clustering method to improve wireless sensor network lifetime ,2020
  • MAP-ACO: An efficient protocol for multi-agent pathfinding in real-time WSN and decentralized IoT systems ,2020
  • 3D Path Planning Method for Multi-UAVs Inspired by Grey Wolf Algorithms ,2021
  • Hybrid algorithms based on combining reinforcement learning and metaheuristic methods to solve global optimization problems ,2021
  • Improving the performance of hierarchical wireless sensor networks using the metaheuristic algorithms: efficient cluster head selection ,2021
  • Adapted-RRT: novel hybrid method to solve three-dimensional path planning problem using sampling and metaheuristic-based algorithms ,2021
  • Optimal characterization of a microwave transistor using grey wolf algorithms ,2021
  • Adaptive Metaheuristic-Based Methods for Autonomous Robot Path Planning: Sustainable Agricultural Applications ,2022
  • A Smart and Mechanized Agricultural Application: From Cultivation to Harvest ,2022
  • Optimal data transmission and pathfinding for WSN and decentralized IoT systems using I-GWO and Ex-GWO algorithms ,2023
  • Sand cat swarm optimization-based feedback controller design for nonlinear systems ,2023
  • Optimal Nodes Localization in Wireless Sensor Networks Using Nutcracker Optimizer Algorithms: Istanbul Area ,2024
  • Enhanced multi-strategy bottlenose dolphin optimizer for UAVs path planning ,2024
  • An optimized feature selection approach using sand Cat Swarm optimization for hyperspectral image classification ,2024
  • An Effective Hybrid Metaheuristic Algorithm for Solving Global Optimization Algorithms ,2024
  • Optimizing the deep learning parameters using metaheuristic algorithms for PV-battery-based DC nanogrids ,2024
  • Sustainable IoT Solutions: Developing Quantum-Aware Circuits for Improving Energy Efficiency based on Atomic Silicon ,2025
  • A Hybrid Multi-Strategy Optimization Metaheuristic Algorithm for Multi-Level Thresholding Color Image Segmentation ,2025
  • Program Source-Code Re-Modularization Using a Discretized and Modified Sand Cat Swarm Optimization Algorithm ,2023
  • Probabilistic optimal planning of multiple photovoltaics and battery energy storage systems in distribution networks: A boosted equilibrium optimizer with time-variant load models ,2023
  • I-GWO and Ex-GWO: improved algorithms of the Grey Wolf Optimizer to solve global optimization problems ,2021
  • A reinforcement learning-based metaheuristic algorithm for solving global optimization problems ,2023
  • WOASCALF: A new hybrid whale optimization algorithm based on sine cosine algorithm and levy flight to solve global optimization problems ,2022
  • Binary Sand Cat Swarm Optimization Algorithm for Wrapper Feature Selection on Biological Data ,2023
  • Sand Cat swarm optimization: a nature-inspired algorithm to solve global optimization problems ,2022

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
  • Decision-Making Models: A Perspective of Fuzzy Logic and Machine Learning – Elsevier
  • Decision-Making Models: A Perspective of Fuzzy Logic and Machine Learning – Elsevier
  • Decision-Making Models: A Perspective of Fuzzy Logic and Machine Learning – Elsevier
Assoc. Prof. Emir Seyyedabbasi - İstinye Üniversitesi
amir.seyyedabbasiistinye.edu.tr

Research Areas

  • Mühendislik Temel Alanı
  • Bilgisayar Bilimleri ve Mühendisliği

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