Dr. Pradeep Kumar Mallick is currently working as Senior Associate Professor in the School of Computer Engineering, Kalinga Institute of Industrial technology (KIIT) Deemed to be University, Odisha, India. He has completed his Post Doctoral Fellow (PDF) from Kongju National University South Korea, PhD from Siksha Ó’ Anusandhan University, M. Tech. (CSE) from Biju Patnaik University of Technology (BPUT), India. Besides academics, he is also involved in various administrative activities, Member of Board of Studies, Member of Doctoral Research Evaluation Committee, Admission Committee etc. His area of research includes Algorithm Design and Analysis, and Data Mining, Image Processing, Soft Computing, and Machine Learning. Now he is the editorial member of Korean Convergence Society for SMB .He has published 12 books and more than 75 research papers in National and international journals and conference proceedings in his credit.Dr. Akash Kumar Bhoihas completed his B.Tech. (Biomedical Engineering) from Trident Academy of Technology, BPUT University, Odisha and M.Tech. (Biomedical Instrumentation) from Karunya University, Coimbatore in the year 2009 and 2011 respectively. In 2019 he is awarded Ph.D. from Sikkim Manipal University, India. He is working as Assistant Professor in the Department of Electrical and Electronics Engineering at Sikkim Manipal Institute of Technology (SMIT), India since 2012. He is member of ISEIS and IAENG, associate member of IEI, UACEE and editorial board member reviewer of indian and international journals. His areas of research are biomedical signal processing, medical image processing, sensors and transducers, and medical instrumentation. He has published several papers in national and international journals and conferences. He has also served on numerous organizing panels of international conferences and workshops.Dr. Gyoo-Soo Chea has received Ph.D (Electrical Engineering) from Virginia Polytechnic Institute and State University (Virginia Tech), Blacksburg, VA. After receiving Ph.D, he worked at Amphenol Mobile, Korea as a RF manager from June 2001 to February 2003. He has been with Baekseok University in Korea as a Professor since 2003. He has granted department scholarship (Kyungpook National University grant) during March 1991 – February 1993 and associated with IEEE Antennas and Propagation Society since January 2001. He has been serving as the Editor-in-Chief of The Korea Institute of Information, Electronics, and Communication Technology since 2013. His research interests are antennas and dual-band inverted-F antenna.Dr. Kanak Kalita received his B. Tech in Mechanical Engineering from RGTU, Bhopal, India; M.E and Ph.D. in Aerospace Engineering and Applied Mechanics from the Indian Institute of Engineering, Science & Technology, Shibpur, India. He has over 5 years of teaching, research and industrial experience. Currently, he is with VJ Coresoft Pvt. Ltd. as Senior Software Engineer, where he works on developing and testing novel optimization algorithms. He is on the editorial board of 2 international journals, and has reviewed over 170 manuscripts for more than 30 journals and conferences. He has published 17 SCI and 39 Scopus indexed research articles. His areas of interests include meta-modeling, optimization, finite element method, and composites.

• Realization of Security System Using Facial Recognition and Arduino Keypad Door Lock System.- Analysis of t-distribution in Variable Step Size Firefly Algorithm in the Applications of Machine Learning.- Detecting Vulnerabilities of Web Application using Penetration Testing and Prevent using Threat Modeling.- Analysis and Comparison of Credit Card Fraud Detection Using Machine Learning.- Data Hiding Technique using Di erential Evolution.- Intelligent Baby Monitoring System using Blynk.- Implementation of Dual Image Watermarking for Copyright Protection.- Biswaranjan Acharya, Roshan Gupata, Shankey Garg, Jitendra Kumar Rout and Niranjan Ray.- Bengali spoken numerals recognition by MFCC and GMM technique.- Chittaranjan Pradhan Detection and Evaluation of Chronic Kidney Disease using Different Regression and Classification Algorithms in Machine Learning.- Analysis and Prevention Of Road Accidents.