Reading Gauges Using Computer Vision.- Efficient Classification for Age and Gender of Unconstrained Face Images.- Prediction of Road Accidents Using Data Mining Techniques.- Eye Gaze Based Student Readability Analysis.- Enhancement of Life Time of Sensor Nodes in Wireless Sensor Network.- Social Distancing through Image Processing, Video Analysis AND CNN.
About the Author: Prof. Ramesh C. Bansal has more than 25 years of diversified experience of research, scholarship of teaching and learning, accreditation, industrial, and academic leadership in several countries. Currently, he is Professor in the Department of Electrical Engineering at University of Sharjah. Previously, he was Professor and Group Head (Power) in the ECE Department at University of Pretoria (UP), South Africa. Prior to his appointment at UP, he was employed by the University of Queensland, Australia; University of the South Pacific, Fiji; BITS Pilani, India; and Civil Construction Wing, All India Radio. He has significant experience of collaborating with industry and government organisations. He has made a significant contribution to the development and delivery of BS and ME programmes for utilities. He has extensive experience in the design and delivery of CPD programmes for professional engineers. He has carried out research and consultancy and attracted significant funding from industry and government organisations. He has published over 325 journal articles, presented papers at conferences, books, and chapters in books. He has Google citations of over 11000 and h-index of 50. He has supervised 25 Ph.D., 4 postdocs, and currently supervising 5 Ph.D. students. His diversified research interests are in the areas of renewable energy (wind, PV, microgrid), power systems, and smart grid. He is Editor/Associate Editor of several highly regarded journals including IEEE Systems Journal, IET Renewable Power Generation, and Technology and Economics of Smart Grids and Sustainable Energy. He is Fellow and Chartered Engineer IET-UK, Fellow Institution of Engineers (India), and Senior Member of IEEE-USA.
Dr. Prof. Akka Zemmari is an associate professor at LaBRI, University of Bordeaux--CNRS. He received his Ph.D. degree and his HDR in Computer Science from Université Bordeaux in 2000 and 2009, respectively. His research areas deal with (1) the design, the analysis, and simulation of distributed algorithms, (2) the static/dynamic analysis of programs with application to malware detection, and (3) machine and deep learning with application to security aspects and to image analysis. Currently, he is serving as the head of Distributed Algorithms research group in LaBRI, the computer science research laboratory of the University of Bordeaux. He is PI/Co-PI of six research projects which also includes Joint Indo-French projects. He has acted as a referee for the many international journals and international conferences. He has published over 30 research articles in reputed journals. He has published over 50 research articles in reputed conferences. He has published a book on Deep Learning in Mining of Visual Content with Springer Briefs in Computer Science ISBN 978-3-030-34376-7.
Dr. K. G. Sharma is an associate professor and the head of Electrical Engineering (EE) at Govt. Engineering College Ajmer, Rajasthan. He is contributing in the engineering profession since 20 years. He received the B.Tech. degree in EE from CTAE, Udaipur, M.Tech. in Power System from MNIT, Jaipur, and Ph.D. degree in EE from RTU, Kota. He published 25 national and international research papers, presented papers at conferences, authored 01 book, received education excellence award, and supervised more than 10 PG students. He is qualified as certified energy auditor of BEE. He is PI/Co-PI of three CRS projects under TEQIP-III. He has got two patents. His diversified research interests are in the areas of power system stability, renewable energy sources, spectral analysis, power system dynamics and control. Dr. Sharma is a fellow of the Institution of Engineers India, Life Member of Indian Society for Technical Education (ISTE), Member of ISHRAE and ISLE, Member of Soft Computing Research Society. He is a member of various prestigious boards, DRC, inspection committee of university and AICTE. He has delivered several expert talks. He is a reviewer of many repute Journals of Research along with several international conferences. He has organized FDPs/STC/workshops along with one international conference.
Dr. Jyoti Gajrani is an assistant professor and the head of the Department of Computer Science and Engineering at Engineering College Ajmer (Rajasthan). She completed B.Tech. in Computer Engineering from Mody Institute of Engineering and Technology, Lakshmangarh, Rajasthan, M.Tech. in Computer Engineering from the Indian Institute of Technology, Bombay, and Ph.D. in Computer Science and Engineering from Malaviya National Institute of Technology, Jaipur. She has 15 years of teaching and research experience. She has successfully supervised 05 M.Tech. scholars and 05 are currently working. Her research interests include the area of security and privacy, computational intelligence, operating system, and system software. She has received special reorganization by Dr. Nitin Deep Blaggan, Ex-SP Ajmer for development of Ajmer Police Traffic App. She is Co-PI in project titled "Performance Measurement of Security Algorithms on IoT Devices" under competitive research scheme by Rajasthan Technical University (TEQIP-III) with grant of 2.4 lakh. She has published around 40 research papers in reputed international journals and conferences including SCI and Scopus indexed papers. She is the author of one book on Telecommunication Engineering Fundamentals. She has delivered several expert talks. She is reviewer of IETE Journal of Research (Taylor and Fransis) and ACM DTRAP along with several international conferences ICCIS 2020, ICDLAIR2019, INDICON 2019, SIN 2017, SIN 2018. She has organized more than 30 FDPs, STCs hackathons, and international conferences.