
Topic
- Computing and Processing
- Components, Circuits, Devices and Systems
- Communication, Networking and Broadcast Technologies
- Power, Energy and Industry Applications
- Signal Processing and Analysis
- Robotics and Control Systems
- General Topics for Engineers
- Fields, Waves and Electromagnetics
- Engineered Materials, Dielectrics and Plasmas
- Bioengineering
- Transportation
- Photonics and Electrooptics
- Engineering Profession
- Aerospace
- Geoscience
- Nuclear Engineering
- Career Development
- Emerging Technologies
- Telecommunications
- English for Technical Professionals
Sina Abdipoor
Also published under:
Affiliation
Department of Computer Science, Universiti Putra Malaysia, Malaysia
Topic
Artificial Intelligence,Operations Research,Optimization,Meta-heuristics,Evolutionary Computing,Reinforcement Learning,Hyper-heuristics,Machine Learning,Scheduling,Timetabling,
Biography
Sina Abdipoor is a Ph.D. researcher in Artificial Intelligence (AI) affiliated with the Faculty of Computer Science and Information Technology at Universiti Putra Malaysia. His primary research interest lies in Operations Research (OR), where he specializes in utilizing meta-heuristics to address various optimization problems. Currently, his research efforts are concentrated on the application of hybrid approaches for tackling real-world scheduling problems. In addition to his active role as a researcher, he serves as a reviewer for Elsevier's Journal of Expert Systems with Applications and Intelligent Systems with Applications, as well as IEEE Access. Since 2016, he has followed his passion for teaching, sharing his knowledge in various Computer Science subjects as well as General English and Academic English Writing. He holds a master's degree in AI and a bachelor's degree in Software Engineering. Beyond academia, he has extensive experience working as an AI Engineer and consultant in various domains. He frequently discusses the applications of OR theory in real-world problems to save time and improve efficiency. He is an active member of the Canadian Operational Research Society and is passionate about advancing AI and its practical applications.