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Dr. Gaurav Dhiman

Dr. Gaurav Dhiman is a highly accomplished academician and researcher with an impressive track record of excellence in computer science. He holds a Ph.D. in Computer Engineering from Thapar Institute of Engineering & Technology, Patiala, and has also completed his Master Degree of Computer Applications from the same institute. Currently, he is serving as an Assistant Professor in the School of Sciences and Emerging Technologies, Jagat Guru Nanak Dev Punjab State Open University, Patiala. His research has been recognized at the highest level, as he has been named one of the world's top researchers by Stanford University, USA list of world's top 2% scientists prepared by Elsevier. He is the senior member of IEEE. He has also received accolades for his outstanding reviewer work from Knowledge-Based Systems (Elsevier). He has authored over 300 peer-reviewed research papers, all of which are indexed in SCI-SCIE, and 10 international books. He is currently serving as a guest editor for more than forty special issues in various peer-reviewed journals. He is an Editor-in-Chief of the International Journal of Modern Research (IJMORE), Co-Editor-in-Chief of the International Journal of Electronics and Communications Systems (IJECS) and International Journal of Ubiquitous Technology and Management (IJUTM). He is an Associate Editor of IEEE Transactions on Industrial Informatics, IET Software (Wiley), Expert Systems (Wiley), IEEE Systems, Man, and Cybernetics Magazine, Spatial Information Research (Springer), and more. He is also an Academic Editor of Computational and Mathematical Methods in Medicine (Hindawi), Scientific Programming (Hindawi), Mobile Information Systems (Hindawi), and Review Editor of Frontiers in Energy Research - Fuel Cells, Frontiers in High-Performance Computing - Parallel and Distributed Software, Frontiers in Artificial Intelligence - Pattern Recognition, and more. His research interests span a wide range of topics including Artificial Intelligence, Internet of Things, Machine-learning, Deep-learning, Single-, Multi-, Many-objective optimization (Bio-inspired, Evolutionary, and Quantum), Soft computing (Type-1 and Type-2 fuzzy sets), Power systems, and Change detection using remotely sensed high-resolution satellite data. He has published his research in various reputed journals, including IEEE, Elsevier, Springer, Wiley, Taylor and Francis, among others.