Information Management and Machine Intelligence by Dinesh Goyal

Information Management and Machine Intelligence by Dinesh Goyal

This book features selected papers presented at the International Conference on Information Management and Machine Intelligence (ICIMMI 2019), held at the Poornima Institute of Engineering & Technology, Jaipur, Rajasthan, India, on December 14–15, 2019. It covers a range of topics, including data analytics; AI; machine and deep learning; information management, security, processing techniques and interpretation; applications of artificial intelligence in soft computing and pattern recognition;  cloud-based applications for machine learning; application of IoT in power distribution systems; as well as wireless sensor networks and adaptive wireless communication.

S. Balamurugan is the Director of Research and Development, Intelligent Research Consultancy Services(iRCS), Coimbatore, Tamilnadu, India. He also serves as R&D Consultant for many companies, startups, SMEs and MSMEs. He has published 40 books, 200+ articles in international journals/conferences as well as 27 patents. He is Editor-in-Chief of Information Science Letters and International Journal of Robotics and Artificial Intelligence. His research interests include artificial intelligence, IoT, big data analytics, cloud computing, industrial automation and wearable computing. He is a life member of IEEE, ACM, ISTE and CSI.

Dinesh Goyal received his PhD in 2014 on Secure Video Transmission in a Cloud Network and is now Dean of Academics as well as a member of the Dept. of Computer Science & Engineering, Suresh Gyan Vihar University, India. His research interests are related to information & network security, image processing, data analytics and cloud computing.

O. P. Verma is the Principal at GB Pant Govt. Engineering College, New Delhi, India. Previously, he was at the Department of Computer Science & Engineering, Delhi Technical University, New Delhi, India. His research interests include image processing, soft computing, machine learning, evolutionary computing.

Sheng-Lung Peng is a Professor of the Department of Computer Science and Information Engineering at National Dong Hwa University, Hualien, Taiwan. He received PhD degree in Computer Science from the National Tsing Hua University, Taiwan. He is an honorary Professor of Beijing Information Science and Technology University of China, a supervisor of the Chinese Information Literacy Association and of the Association of Algorithms and Computation Theory. His research interests are in designing and analyzing algorithms for bioinformatics, combinatorics, data mining, and networks. He has published more than 100 international conference and journal papers.