Smart Computing Techniques and Applications

Suresh Chandra Satapathy is currently working as Professor, KIIT Deemed to be University, Odisha, India. He obtained his Ph.D. in Computer Science Engineering from JNTUH, Hyderabad, and master’s degree in Computer Science and Engineering from National Institute of Technology (NIT), Rourkela, Odisha. He has more than 27 years of teaching and research experience. His research interest includes machine learning, data mining, swarm intelligence studies and their applications to engineering. He has more than 98 publications to his credit in various reputed international journals and conference proceedings. He has edited many volumes from Springer AISC, LNEE, SIST and LNCS in past, and he is also the editorial board member in few international journals. He is a senior member of IEEE and a life member of Computer Society of India. Currently, he is National Chairman of Division-V (Education and Research) of Computer Society of India.Vikrant Bhateja is Associate Professor, Department of ECE in SRMGPC, Lucknow.  His areas of research include digital image and video processing, computer vision, medical imaging, machine learning, pattern analysis and recognition. He has around 160 quality publications in various international journals and conference proceedings.  He is associate editor of IJSE and IJACI. He has edited more than 30 volumes of conference proceedings with Springer Nature and is presently EiC of IGI Global: IJNCR journal.Dr. Margarita N. Favorskaya is Professor and Head of the Department of Informatics and Computer Techniques at Reshetnev Siberian State University of Science and Technology, Russian Federation. Professor Favorskaya is a member of KES organization since 2010, the IPC member and Chair of invited sessions of over 30 international conferences. She serves as a reviewer in international journals (Neurocomputing, Knowledge Engineering and Soft Data Paradigms, Pattern Recognition Letters, Engineering Applications of Artificial Intelligence), an associate editor of Intelligent Decision Technologies Journal, International Journal of Knowledge-Based and Intelligent Engineering Systems, International Journal of Reasoning-based Intelligent Systems, a honorary editor of the International Journal of Knowledge Engineering and Soft Data Paradigms, reviewer, a guest editor, and a book editor (Springer). She is the author or the co-author of 200 publications and 20 educational manuals in computer science. She co-authored/co-edited seven books for Springer recently. She supervised nine Ph.D. candidates and presently supervising four Ph.D. students. Her main research interests are digital image and videos processing, remote sensing, pattern recognition, fractal image processing, artificial intelligence, and information technologies.Dr. T. Adilakshmi is currently working as Professor and Head of the Department, Vasavi College of Engineering. She completed her Bachelor of Engineering from Vasavi College of Engineering, Osmania University in the year 1986 and did her Master of Technology in CSE from Manipal Institute of Technology, Mangalore, in 1993. She received Ph.D. from Hyderabad Central University (HCU) in 2006 in the area of Artificial Intelligence. Her research interests include data mining, image processing, artificial intelligence, machine learning, computer networks and cloud computing. She has 23 journal publications to her credit and presented 28 papers at international and national conferences. She has been recognized as a research supervisor by Osmania University (OU) and Jawaharlal Nehru Technological University (JNTU). Two research scholars were awarded Ph.D. under her supervision, and she is currently supervising 11 Ph.D. students.

• Pad Vending Machine with Cashless Payment.- Design of Wrung order layout using advanced optimization techniques with integrated Variable batch scheduling.- Adaptive beamforming using Radial Basis Function.- A Cloud based centralized smart electricity billing and payment management system.- Real Time Driver Distraction Detection Using Opencv And Machine Learning Alorgithms.- Data Driven Prediction Model for Crime Patterns.