Dr. Hasmat Malik (Senior Member, IEEE) received an M.Tech degree in electrical engineering from the National Institute of Technology (NIT) Hamirpur, Himachal Pradesh, India, and a Ph.D. degree in Electrical Engineering from Indian Institute of Technology (IIT), Delhi. He is a Chartered Engineer (CEng) and Professional Engineer (PEng). He is currently a Research Fellow at BEARS (Berkeley Education Alliance for Research in Singapore (BEARS), a research center of the University of California, Berkeley), University-Town, NUS Campus, Singapore, since Jan. 2019 and served as an Assistant Professor for 5+ years at the Division of Instrumentation and Control Engineering, Netaji Subhas Institute of Technology (NSIT) Delhi, India. He is a Fellow of IETE (Institution of Electronics and Telecommunication Engineering), a Life Member of ISTE (Indian Society for Technical Education), IEI (Institution of Engineers, India), ISRD (International Society for Research and Development), London, a Senior Member of the IEEE, USA,  and a member of CSTA (Computer Science Teachers Association) USA, Association for Computing Machinery (ACM) EIG, and Mir Labs, Asia. He has published widely in International Journals and Conferences his research findings related to Intelligent Data Analytics, Artificial Intelligence, and Machine Learning applications in Power systems, Power apparatus, Smart building & automation, Smart grid, Forecasting, Prediction, and Renewable Energy Sources. Dr. Hasmat has authored/co-authored more than 100 research papers, eight books, and thirteen chapters in nine other books, published by IEEE, Springer, and Elsevier.

He received the POSOCO Power System Award (PPSA-2017) for his Ph.D. work for research and innovation in the area of the power system. He has received the best research papers awards at IEEE INDICON-2015, and the full registration fee award at IEEE SSD-2012 (Germany). He has supervised 23 PG students. Dr. Hasmat organized five international conferences, and proceedings have been published by Springer Nature. He involves in several large R&D projects. His principal area of research interests is artificial intelligence, machine learning and big-data analytics for renewable energy, smart building & automation, condition monitoring and online fault detection & diagnosis (FDD).