Fostering Healthcare through Artificial Intelligence: A High-Performance Computing Approach (Hardcover) (ISBN-13: 9781032821184)

Kavita Khare received her B. Tech in Electronics and Communication Engineering in 1989, M. Tech. in Digital Communication Systems in 1993 and PhD degree in the field of VLSI Design in 2004. She has nearly 27 years of teaching experience and 200 publications in various international conferences and journals. She has supervised nearly 20 PhD thesis and nearly 42 M. Tech thesis. She also received the Best Paper Award at an international conference in France and is a reviewer of several journals and conference proceedings. Dr Khare co-coordinates short-term courses on VLSI Design organized at MANIT Bhopal. Currently, she is working as a Professor at the Department of Electronics and Communication Engineering in MANIT, Bhopal, INDIA. Her areas of interest are VLSI design and Communication Systems, and her research mainly includes design of arithmetic circuits and various communication algorithms related to synchronization, estimation and routing. She is also a Fellow IETE (India) and member of IEEE, Life Member ISTE.

Zainab Aizaz is a VLSI front-end designer and Research Fellow in the School of Engineering and Informatics at the University of Sussex. She completed her PhD from Maulana Azad National Institute of Technology, Bhopal, India. She has worked as an assistant professor for six years in Electronics and Communication Engineering department in Oriental Institute of Science and Technology, Bhopal, Madhya Pradesh, India, and as a research fellow for three years in Barkatullah University, Bhopal, Madhya Pradesh, India. She has 17 international journal and conference publications along with 3 book chapters. She also won the state's annual young scientist award in India in the year 2020 in India. Zainab designs hardware for Artificial Intelligence systems on Field Programmable Gate Arrays (FPGA). Her recent focus is to design energy efficient Vector Processor as an extension to the RISCV processor. Her research interests include FPGAs, Hardware description language, Computer architecture, Artificial Intelligence.

Nilay Khare received his B. Tech degree in 1988, M. Tech. degree in Computer Science Engineering from IIT Delhi in 1995 and PhD degree in the field of VLSI Design in 2009. He has nearly 34 years of teaching experience. His major research work is on Hardware Implementation of Neural Network, FPGA implementation of CORDIC processor, Machine Learning, Data Privacy. His PhD thesis is on efficient design of CORDIC processor on FPGA. He has supervised three PhDs in the area of VLSI design namely FPGA implementation of neural networks, hardware implementation of string-matching algorithms and design and implementation of hardware firewall. He has expertise in AI, Machine learning and deep learning fields, and has supervised many UG ang PG projects in these areas. He has published nearly 1000 papers in top journals and conferences. He also has 3 patents to his name. The primary areas of his expertise are AI, ML, VLSI, Theoretical Computer Science, and IoT.