Abstract: The tutorial will be covered in two parts and introduce attendees to the applications and solutions of Artificial Intelligence/Machine and Deep Learning for the next generation communication systems. In the first part, we will begin with a brief introduction and history of artificial intelligence, machine learning and the emergence of deep learning. There would be a brief recap of various new algorithms with use cases. We will discuss autoencoders, convolutional neural networks, and recurrent neural networks, reinforcement learning, federated learning and others. In the second part, we will briefly look at the recent research results and applicability of machine and deep learning for beyond 5G communication networks for inclusivity for urban and rural areas.
Duration: 3 hrs
Names of the Presenters: Professor Vimal Bhatia
Designation and Affiliation: Professor and IIT Indore
Biography: Vimal Bhatia (SM’12, FIETE, FOSI) is currently working as a Professor with the Indian Institute of Technology (IIT) Indore, India, and is an adjunct faculty at IIT Delhi and IIIT Delhi, India. He received Ph.D. degree from Institute for Digital Communications with The University of Edinburgh, Edinburgh, U.K., in 2005. During Ph.D. he also received the IEE fellowship for collaborative research at the Department of Systems and Computer Engineering, Carleton University, Canada, and is Young Faculty Research Fellow from MeitY, Govt of India. He is also a recepient of Prof SVC Aiya Memorial Award (2019). He has worked with various IT companies for over 11 years both in India and the UK. He is a PI/co-PI/coordinator for external projects with funding of over USD 20 million from MeitY, DST, UKIERI, MoE, AKA, IUSSTF and KPMG. He has more than 300 peer-reviewed publications, and has filed 13 patents (with 5 granted). He is in the Top 2% Scientist List published by Stanford University. He has supervised 18 defended/submitted PhD thesis. His research interests are in the broader areas of communications, non-Gaussian non-parametric signal processing, machine/deep learning with applications to communications and photonics. He is a reviewer for IEEE, Elsevier, Wiley, Springer, and IET. He is currently Senior Member of IEEE, Fellow IETE and certified SCRUM Master. He was also the General Co-Chair for IEEE ANTS 2018, and General Vice-Chair for IEEE ANTS 2017. He has served as founder head of Center for Innovation and Entrepreneurship, Associate Dean R&D and Dean, Academic Affairs. He has delivered many talks, tutorials and conducted faculty development programs for the World Bank’s NPIU TEQIP-III and invited talk at WWRF46-Paris. He is currently Associate Editor for IETE Technical Review, Frontiers in Communications and Networks, Frontiers in Signal Processing, and IEEE Wireless Communications Letters.