This book gathers selected high-quality research papers presented at the International Conference on Paradigms of Communication, Computing and Data Sciences (PCCDS 2021), held at the National Institute of Technology, Kurukshetra, India, during May 07–09, 2021. It discusses high-quality and cutting-edge research in the areas of advanced computing, communications, and data science techniques. The book is a collection of latest research articles in computation algorithm, communication, and data sciences, intertwined with each other for efficiency.
Dr. Mohit Dua did his B.Tech degree in computer science and engineering from Kurukshetra University, Kurukshetra, India, in 2004 and M. Tech degree in computer engineering from National Institute of Technology, Kurukshetra, India, in 2012. He received Ph.D. in the area of speech recognition from the National Institute of Technology, Kurukshetra, India, in 2018. He is presently working as Assistant Professor in the Department of Computer Engineering at NIT Kurukshetra, India, with more than 16 years of academic experience. He is Life Member of Computer Society of India (CSI) and Indian Society for Technical Education (ISTE). His research interests include speech processing, theory of formal languages, statistical modeling, and natural language processing. He has published more than 60 research papers in various reputed journals and conferences.
Dr. Ankit Kumar Jain is presently working as Assistant Professor in the National Institute of Technology, Kurukshetra, India. He received master of technology from the Indian Institute of Information Technology Allahabad (IIIT), India, and Ph.D. degree from the National Institute of Technology, Kurukshetra. His general research interest is in the area of information and cyber security, phishing Web site detection, Web security, mobile security, IoT security, online social network, and machine learning. He has published more than 35 papers in reputed journals and conferences.
Dr. Anupam Yadav is Assistant Professor, Department of Mathematics, Dr. BR Ambedkar National Institute of Technology Jalandhar, India. His research area includes numerical optimization, soft computing, and artificial intelligence, and he has more than ten years of research experience in the areas of soft computing and optimization. He has done a Ph.D. in soft computing from the Indian Institute of Technology Roorkee, and he had worked as a research professor at Korea University. He has published more than twenty-five research articles in journals of international repute, and has published more than fifteen research articles in conference proceedings. He has authored a textbook entitled “An introduction to neural network methods for differential equations.” He has edited three books which are published by AISC, Springer Series. He was General Chair, Convener, and Member of the Steering Committee of several international conferences. He is Member of various research societies.
Dr. Nitin Kumar has been working as Assistant Professor in the Department of Computer Science and Engineering at the National Institute of Technology, Uttarakhand, since 2013. He has obtained his M. tech. and Ph.D. in computer science and technology from the School of Computer and Systems Sciences, Jawaharlal Nehru University. He has published more than 50 research papers in reputed international journals and international conferences in India and abroad. His current research interests include pattern recognition, biometric recognition and security, image processing, and computer vision.
Professor Patrick Siarry was born in France in 1952. He received the Ph.D. degree from the University Paris 6, in 1986, and the Doctorate of Sciences (Habilitation) from the University Paris 11, in 1994. He was first involved in the development of analog and digital models of nuclear power plants at Electricité de France (E.D.F.). Since 1995, he is Professor in automatics and informatics. His main research interests are computer-aided design of electronic circuits and the applications of new stochastic global optimization heuristics to various engineering fields. He is also interested in the fitting of process models to experimental data and the learning of fuzzy rule bases and of neural networks.
