Author Biographies

M. S. Hossain Lipu holds a Ph.D. in electrical, electronic, and systems engineering from the National University of Malaysia (2019). Dr. Lipu was recognized as one of the world's top 2% scientists by Stanford University and Elsevier in 2022 and 2023. His research interests span battery storage and management systems, electric vehicles, power electronics, intelligent controllers, artificial intelligence, and renewable system optimization. He has published extensively in prestigious journals in IEEE Transactions, Elsevier, and Nature Science. He won the best paper award in several IEEE conferences and was also awarded the gold medal in several exhibitions. Additionally, he has worked as an invited speaker, session chair at conferences, and as reviewer in top-ranked journals. He has served as a guest editor for several renowned journals. Moreover, he has been awarded several national and international research grants.
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Taskin Jamal is an Associate Professor in the Department of Electrical and Electronic Engineering, Ahsanullah University of Science and Technology, Bangladesh, a Senior Member of IEEE and a Member of IET. He earned his PhD in Renewable Energy at Murdoch University, Australia, in 2019. He also worked as a Postdoctoral Research Fellow at Keele University, UK, in 2021. Throughout his academic career, he has earned a number of scholarships and research awards, the most recent of which was a research grant from USAID to conduct a study on Electric Vehicles in Bangladesh in 2022 and from the Climate Compatible Growth (CCG) Program, Foreign Development and Commonwealth Office (FCDO), U.K., for policy recommendations on Bangladesh’s Renewable Energy Deployment to the UN’s Climate Change Conference, the COP26 summit in Glasgow, U.K., in 2021. Dr. Taskin has served as a Keynote Speaker and Panelist at many national and international technical events, seminars and workshops. He has also served as Guest Editor for several renowned journals. His current research interests include Electric Power Distribution Systems, Renewable Energy, Microgrids and Electric Vehicles, Hybrid Power Systems, etc.
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Shaheer Ansari received a B.Sc. degree in electrical and electronic engineering and a master’s degree in instrumentation and control from Integral University, Lucknow, India, in 2011 and 2015, respectively. He is pursuing the Ph.D. degree in the Department of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia, and is currently working as a post-doctoral research fellow at Universiti Kebangsaan Malaysia. His research interests include machine learning algorithms, optimization schemes for prognostics, and health management.
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A.S.M. Shihavuddin, who graduated from the EEE Department of IUT, is currently working as Chairperson of the Department of EEE at Green University of Bangladesh (GUB). He is renowned for his contributions in the fields of Computer Vision and Deep Learning. He worked as an Associate Professor in the CSE Department of ULAB and the CSE Department of IUB. Earlier, he worked as an Assistant professor at DTU Compute, Technical University of Denmark (DTU), Denmark. He previously worked in the same department as a postdoctoral researcher for 10 months on "Automated damage detection from wind turbine inspection images with deep learning". He completed his first postdoc at Ecole Normale Superieure (ENS), Paris with the computational biology and bioinformatics group. His principal research area was to develop machine learning and image analysis algorithms in the study of ependymal cell microscopy images. He obtained his Ph.D. from the VICOROB group, Universitat De Girona (UDG) Spain. His main research problem was “Automated Underwater Object classification using Optical Imagery”. He completed his MSc in "European Masters in Computer Vision and Robotics (VIBOT)" under Erasmus Mundus Grants. Earlier, in 2006, he joined IUT as a lecturer in the EEE Department and was promoted to Assistant Professor in 2011. In 2014, he earned his MBA from the Marketing Department of the University of Dhaka.
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