Energy Systems Planning and Operation Laboratory
Jalal Rasouli-Eshghabad
Detection and Classification of Cyber-Physical Contingencies at IoT-Based Active Distribution Networks Using Deep-Reinforcement Learning
Biography:
Jalal Rasouli-Eshghabad was born in Mashhad, Iran, in 1994. He obtained the B.Sc. degree from Sajjad University, Mashhad, Iran, in 2017 in electrical engineering. He also received the M.Sc. degree from Sajjad University, Mashhad, Iran, in 2021. He is currently a PhD student and research assistant at Shahrood University of Technology, Shahrood, Iran. I am an expert in artificial intelligence and deep learning applied to power systems. He is an expert in artificial intelligence and deep learning applied to power systems. He has extensive experience in projects related to fault detection in power distribution networks, development of machine learning algorithms, and signal and image processing techniques. He also possesses skills in web application development and embedded systems.
Email:
jalal.rasooli10@shahroodut.ac.ir
Linkedin page:
linkedin.com/in/jalal-rasouli-4a0933250