معرفی
Ehsan Sheybani is an Associate Professor in the Department of Information Systems & Decision Sciences at the University of South Florida. His work spans interdisciplinary research in Artificial Intelligence, Machine Learning, Cybersecurity, and Renewable Energy Integration. He has contributed to advancements in optimization algorithms, smart grids, and wireless communication systems. His recent studies focus on integrating nature-inspired algorithms for energy management, IoT applications for environmental monitoring, and cybersecurity solutions for smart infrastructure.
Research interests include exploring next-generation computing technologies (e.g., 6G networks), developing robust energy systems for microgrids, and enhancing situational awareness through machine learning techniques. His work frequently addresses challenges in renewable energy integration, signal processing for communication systems, and leveraging data analytics for social and environmental impact.
Dr. Sheybani’s publications highlight innovations in optimization methodologies (e.g., Grizzly Bear Fat Increase Optimizer), cybersecurity frameworks, and interdisciplinary approaches to education technology. Notable contributions include reviews on smart grid integration challenges and studies on emerging 6G architectures.
