Md. Shadman Abid is currently employed as a research assistant at the Nanotechnology Research Center of Sultan Qaboos University (SQU), where he is engaged in multiple projects involving vision-informed multi-modal AI framework for active distribution network scheduling and deep learning-based geospatial mapping for energy distribution networks. He previously worked at the Sustainable Energy Research Center at SQU, where he developed advanced robust optimization and reinforcement learning-based models for EV charging infrastructure planning, focusing on the techno-economic, environmental, and operational aspects of microgrid management. Shadman additionally served as a part-time lecturer in the Department of Electrical and Electronic Engineering (EEE) at Sonargaon University, Dhaka, Bangladesh. He graduated in 2022 with a B.Sc. degree in EEE from the Islamic University of Technology (IUT), Gazipur, Bangladesh. His interests include advanced computational methods, uncertainty modeling of large-scale grid infrastructure, electric vehicle charging infrastructure planning, renewable energy integration, and smart distribution systems.
