Advances in Electrical and Computer Technologies

Thangaprakash Sengodan received his Bachelor of Engineering in Electrical Engineering from Bharathiar University, India, and Master of Engineering in Power Electronics and Drives from Anna University, Chennai, in 2002 and 2014, respectively. He received a Ph.D. degree in Electrical Engineering from Anna University, Chennai, India, in 2011. He is currently a visiting professor at SVS College of Engineering and the full-time head of the research and development wing of Diligentec Solutions, Coimbatore. His current research interests include power electronics circuits, renewable power conversion systems, and solid-state control of electric drives. He has authored over thirty papers in peer-reviewed international journals and conferences. Dr. Thangaprakash is a senior member of IEEE, IEEE-Power Electronics Society, IEEE-Communications Society, and a life member of the Indian Society for Technical Education (ISTE). Dr. Thangaprakash is currently Vice-Chair of Electronic Communication andInformation Management, IEEE India Council (for the period 2021–2022), and also he is a member of the IEEE India Council EXCOM 2021–2022 (Executive Committee) and IEEE Madras Section EXCOM 2020–2021. M. Murugappan received B.E. in Electrical and Electronics Engineering from Madras University, M.E. in Applied Electronics from Anna University, and a Ph.D. in Mechatronic Engineering from Universiti Malaysia Perlis, in 2002, 2006, and 2010, respectively. He is currently working as an associate professor in the Department of Electronics and Communication Engineering, Kuwait College of Science and Technology (KCST) (Private University), Kuwait. Before this, he worked as a senior lecturer in the School of Mechatronics Engineering, University Malaysia Perlis, Malaysia, from 2010 to 2016. He has been working in bio-signal processing applications for the past 12 years and, is cited as an expert in WHO IS WHO in the world. He has published over 120 research articles in peer-reviewed conference proceedings and journals. He has successfully guided 12 postgraduate students (eight Ph.D. and four M.Sc.). He is also serving as an editorial board member in several international peer-reviewed journals (SCI), a committee member in international conferences, and the chair of Educational Activities in IEEE Kuwait Section. His main research interest is bio-signal/image processing applications (affective computing), neuroscience, machine learning, human-machine interaction, and artificial intelligence. Sanjay Misra is a professor of Computer Engineering at Covenant University, Ota, Nigeria. He has 25 years of wide experience in academic administration and research in various universities in Asia, Europe, and Africa. He obtained his Ph.D. in Information and Know. Engineering (Software Engineering) from the University of Alcala, Spain, and M.Tech. (Software Engineering) from Motilal Nehru National Institute of Technology, India. He has authored/co-authored around 300 papers.He is the editor in chief of the book series on Advances in IT Personals and Project Management (IGI Global), the author of 1 book, and the editor (one of) in 31 Lecture Notes in Computer Science (Springer), six IEEE conference proceedings. He was the general chair of many international conferences. Presently, Dr. Sanjay is editor-in-chief of International Journal of Physical Sciences (SCOPUS Indexed), the founder-editor in chief of Covenant Journal of ICT and International Journal of Computer Science and Software Technology, and also serving as the editor, the associate editor, and the editorial board member of more than 20 journals (Including three SCIE) of international repute. His current researches cover the areas of software quality assurance, software process improvement, software project management, object-oriented technologies, XML, SOA, Web services, cognitive informatics, artificial intelligence, neural network, health Informatics, e-learning, cloud computing, and cyber security.

Towards Area-Delay Efficient Reverse Conversion of Higher-Radix Signed-Digit Number Systems.- Multilayer Perceptron Mode and ANN to Assess the Economic Impact and Human Health Due to Alcoholism and Its Effect in Rural Areas.- A Novel Approach to Predict Success of Online Games Using Random Forest Regressor for Time Series Data.- On Strong Proper Connection Number of Some Interconnection Networks.- A Virtual Assistant for the Visually Impaired.- Automated Ultrasound Ovarian Tumour Segmentation and Classification Based on Deep Learning Techniques