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
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
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
