This book discusses automated computing systems which are mostly powered by intelligent technologies like artificial intelligence, machine learning, image recognition, speech processing, cloud computing, etc., to perform complex automated tasks which are not possible by traditional computing systems. The chapters are extended version of research works presented at fifth PhD Research Symposium in various advanced technologies used in the field of computer science. This book provides an opportunity for the researchers to get ideas regarding the ongoing works that helps them in formulating problems of interest. The academicians can also benefit to know about the current research trends that smooth the way to guide their students to carry out research work in the proper direction. The industry will be also facilitated to know about the current advances in research work and materialize the research work into industrial applications.
An Enhanced Intrusion Detection System for Binary and MultiClass Attack
Detection in IoT using Ensembled Classification Algorithms.- Development of
Robust Instance level Learning Pipeline with Noise Mitigation for Indoor
Localization Systems.- A Study On Fingerprint BioMetric For Advanced
Applications.- Human Activity and Crowd Violence Analysis using Deep Learning
and Optimization Models.
Himansu Das works as Associate Professor in the School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT), Deemed to be University, Bhubaneswar, India. He has received Ph.D. in Engineering degree from Veer Surendra Sai University of Technology (VSSUT), Odisha. He has received M.Tech degree in Computer Science and Engineering from the National Institute of Science and Technology, Odisha. He has also received B.Tech degree from the Institute of Technical Education and Research, Odisha, India. He has published several research papers in various international journals and has presented them at conferences. His research interests include the field of Data Mining, Soft Computing, and Machine Learning. He has also more than twelve years of teaching and research experience in various engineering colleges and universities.
Hrudaya Kumar Tripathy is a Professor of the School of Computer Engineering, KIIT, deemed to be University, Bhubaneswar, India. He has completed Doctorate in Computer Science from Berhampur University, masters in computer science and engineering from Indian Institute of Technology, Guwahati and Post Doctoral Fellowship from Ministry of Higher Education Malaysia. Dr. Tripathy has 24 years of teaching experience with post-doctorate research experience in the field of Artificial Intelligence, Soft Computing, Machine Learning, Speech Processing, Mobile Robotics, and Data Analytics. He had been a visiting faculty for a couple of years in Asia Pacific University, Kuala Lumpur, Malaysia and the Universiti of Utara Malaysia, Sintok, Malaysia. Dr. Tripathy was awarded a Young IT professional award in 2013 on a regional level by Computer Society of India (CSI).
Kuan-Ching Li is a Life Distinguished Professor at Providence University. He holds distinguished and chair professorships from various universities around the world and has received awards and funding support from multiple agencies and high-tech companies. In addition to publishing over 500 journal articles, book chapters, and refereed conference papers, he has co-authored or co-edited more than 50 technical books published by CRC Press/Taylor & Francis, Springer, and McGraw-Hill. Professor Li is the Editor-in-Chief of the International Journal of Computational Science and Engineering and the International Journal of Embedded Systems, published by Inderscience. He also serves as an associate editor, editorial board member, and guest editor for several leading journals, and chair positions at high-quality conferences. His research interests include parallel and distributed computing, Big Data, and emerging technologies. He is a Senior Member of the IEEE and a Fellow of the IET.
