Hasmat Malik

Hasmat MalikDr. Hasmat Malik received his Diploma in Electrical Engineering from Aryabhatt Govt. Polytechnic Delhi, B.Tech. degree in electrical & electronics engineering from the GGSIP University, Delhi, M.Tech degree in electrical engineering from National Insitute of Technology (NIT) Hamirpur, Himachal Pradesh, and Ph.D in power systems from the Electrical Engineering Department, Indian Institute of Technology (IIT) Delhi, India. He is currently a Postdoctoral Scholar at BEARS, University Town, NUS Campus, Singapore, and an Assistant Professor (on-Leave) at the Division of Instrumentation and Control Engineering, Netaji Subhas University of Technology Delhi, India. A member of various societies, Dr. Malik has published over 100 research articles, including papers in international journals, conferences, and book chapters. He was a Guest Editor of Special Issues of the Journal of Intelligent & Fuzzy Systems, in 2018 and 2020. Dr. Malik has supervised 23 postgraduate students and is involved in several large R&D projects. His principal research interests are artificial intelligence, machine learning, and big-data analytics for renewable energy, smart building & automation, condition monitoring, and online fault detection & diagnosis (FDD). Read More Read Less

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Intelligent Data Analytics for Power and Energy Systems37 %
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Renewable Power for Sustainable Growth37 %
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Proceedings of 3rd International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication37 %
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Renewable Power for Sustainable Growth37 %
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AI and Machine Learning Paradigms for Health Monitoring System37 %
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Intelligent Data Analytics for Power and Energy Systems37 %
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Machine Learning, Advances in Computing, Renewable Energy and Communication37 %
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Proceedings of 3rd International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication37 %
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Renewable Power for Sustainable Growth37 %
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AI and Machine Learning Paradigms for Health Monitoring System37 %
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Soft Computing in Condition Monitoring and Diagnostics of Electrical and Mechanical Systems37 %
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Machine Learning, Advances in Computing, Renewable Energy and Communication37 %
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Metaheuristic and Evolutionary Computation: Algorithms and Applications
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Soft Computing in Condition Monitoring and Diagnostics of Electrical and Mechanical Systems37 %
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Metaheuristic and Evolutionary Computation: Algorithms and Applications37 %
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Applications of Artificial Intelligence Techniques in Engineering37 %
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Applications of Artificial Intelligence Techniques in Engineering37 %
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International Conference on Signal, Machines, Automation and Algorithm: Proceedings of Sigmaa 2023 (1)
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International Conference on Signal, Machines, Automation and Algorithm: Proceedings of Sigmaa 2023 (2)
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