Data Engineering for Smart Systems

Using Machine Learning, Image Processing & Neural Networks to Sense Bullying in K-12 Schools: Enhanced.- Feature based Comparative Study of Machine Learning Algorithms for Credibility Analysis of Online Social Media Content.- Smart support system for navigation of visually challenged person using IOT.- Identity Based Video Summarization.- Security Testing for Blockchain enabled IoT system.

Dr. Priyadarsi Nanda is Senior Lecturer at the University of Technology Sydney (UTS) with more than 27 years of experience specializing in research and development of cybersecurity, IoT security, Internet traffic engineering, wireless sensor network security, and many more related areas. His most significant work has been in the area of intrusion detection and prevention systems (IDS/IPS) using image processing techniques, Sybil attack detection in IoT-based applications, and intelligent firewall design. In cybersecurity research, he has published over 80 high-quality refereed research papers including transactions in computers, transactions in parallel processing and distributed systems (TPDS), future generations of computer systems (FGCS) as well as many ERA Tier A/A* conference articles. In 2017, his work in cybersecurity research has earned him and his team the prestigious Oman Research Council's National Award for best research. Dr. Nanda has successfully supervised 8 HDR atUTS (5 PhD + 3 Masters), and currently, supervising 8 Ph.D. students. Vivek Kumar Verma is Assistant Professor (Senior Grade) in the Department of Information Technology, School of Computing & Information Technology, Manipal University Jaipur. His areas of expertise include data engineering, image processing, and natural language processing. He has published more than 35 research articles in peer-reviewed international journals, book series, and conference proceedings. Sumit Srivastava is Professor of Information Technology with expertise in the domain of data analytics and image processing. He is also Senior Member of IEEE. He has published more than 100 research papers in peer-reviewed international journals, book series, and conference proceedings. He is having two edited volumes of Springer Nature Book series in his account. He has supervised more than 10 Ph.D. scholars in the areas of data science, machine learning, and naturallanguage processing.  Rohit Kumar