Communication and Intelligent Systems

Harish Sharma is Associate Professor at Rajasthan Technical University, Kota, in Department of Computer Science and Engineering. He has worked at Vardhaman Mahaveer Open University, Kota, and Government Engineering College Jhalawar. He received his B.Tech. and M.Tech. degree in Computer Engineering from Government Engineering College, Kota, and Rajasthan Technical University, Kota, in 2003 and 2009, respectively. He obtained his Ph.D. from ABV—Indian Institute of Information Technology and Management, Gwalior, India. He is Secretary and one of the founder member of Soft Computing Research Society of India. He is Lifetime Member of Cryptology Research Society of India, ISI, Kolkata. He is Associate Editor of International Journal of Swarm Intelligence (IJSI) published by Inderscience. He has also edited special issues of the many reputed journals like Memetic Computing, Journal of Experimental and Theoretical Artificial Intelligence, Evolutionary Intelligence, etc. His primary area of interest is nature-inspired optimization techniques. He has contributed in more than 105 papers published in various international journals and conferences. Dr. Vivek Shrivastava has approx. 20 years of diversified experience of scholarship of teaching and learning, accreditation, research, industrial, and academic leadership in India, China, and USA. Presently, he is holding the position of Dean Research and Consultancy at National Institute of Technology Delhi. Prior to his academic assignments, he has worked as System Reliability Engineer at SanDisk Semiconductors Shanghai, China, and USA. Dr. Shrivastava has significant industrial experience of collaborating with industry and government organizations at SanDisk Semiconductors, and he has made significant contribution to the design development of memory products. He has contributed to the development and delivery of Five-Year Integrated B.Tech.–M.Tech. Program (Electrical Engineering) and Master’s program (Power Systems) at Gautam Buddha University, Greater Noida. He has extensive experience academic administration in various capacity of Dean (Research and Consultancy), Dean (Student Welfare), Faculty In-charge (Training and Placement), Faculty In-charge (Library), Nodal Officer (Academics, TEQIP-III), Nodal Officer RUSA, Experts in various committees in AICTE, UGC, etc. Dr. Shrivastava has carried out research and consultancy and attracted significant funding projects from Ministry of Human Resources and Development, Government of India, Board of Research in Nuclear Science (BRNS) subsidiary organization of Bhabha Atomic Research Organization. Dr. Shrivastava has published over 80 journal articles, presented papers at conferences, and has published several chapters in books. He has supervised 05 Ph.D. and 16 Master’s students and currently supervising several Ph.D. students. His diversified research interests are in the areas of reliability engineering, renewableenergy, and conventional power systems which include wind, photovoltaic (PV), hybrid power systems, distributed generation, grid integration of renewable energy, power systems analysis, and smart grid. Dr. Shrivastava is Editor/Associate Editor of the Journals, International Journal of Swarm Intelligence (IJSI), and International Journal of System Assurance Engineering and Management. He is Fellow of the Institution of Engineers (India) and Senior Member of the Institute of Electrical and Electronics Engineers (IEEE). Dr. Kusum Kumari Bharti is Assistant Professor at PDPM IIITDM Jabalpur. Dr. Bharti has obtained her Ph.D. in Computer Science and Engineering from ABV-IIITM, Gwalior. She has guided 06 M.Tech. and presently guiding 02 Ph.D. students and 05 M.Tech. students. She has published more than 12 journal and conference papers in the area of text clustering, data mining, online social network, and soft computing. She has been Active Member ofmany organizing committees of various conferences, workshops, and faculty development program. Her research areas include machine learning, data mining, machine translation, online social network, and soft computing. Dr. Lipo Wang received the Bachelor’s degree from National University of Defense Technology (China) and Ph.D. from Louisiana State University (USA). He is presently on the faculty of the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. His research interest is artificial intelligence with applications to image/video processing, biomedical engineering, and data mining. He has 330+ publications, a US patent in neural networks, and a patent in systems. He has co-authored 2 monographs and (co-)edited 15 books. He has 8000+ Google Scholar citations, with H-index 43. He was Keynote Speaker for 36 international conferences. He is/was Associate Editor/Editorial Board Member of 30 international journals, including4 IEEE Transactions, and Guest Editor for 10 journal special issues. He was Member of the Board of Governors of the International Neural Network Society, IEEE Computational Intelligence Society (CIS), and the IEEE Biometrics Council. He served as CIS Vice President for Technical Activities and Chair of Emergent Technologies Technical Committee, as well as Chair of Education Committee of the IEEE Engineering in Medicine and Biology Society (EMBS). He was President of the Asia-Pacific Neural Network Assembly (APNNA) and received the APNNA Excellent Service Award. He was founding Chair of both the EMBS Singapore Chapter and CIS Singapore Chapter. He serves/served as Chair/Committee Member of over 200 international conferences.

A Design of Frequency Encoded Dibit-Based Inhibitor Logic Using Reflective Semiconductor Optical Amplifier with Simulative Verification.- Ocean Surface Pollution Detection: Applicability Analysis of V-Net with Data Augmentation for Oil Spill and Other Related Ocean Surface Feature Monitoring.- Simulation and Investigations of I-shaped Patch Antenna with Induced SIW and Slit for S and C Bands Radar Applications.- Road Network Extraction from Satellite Images Using Deep Learning.- An Evolutionary Online Motion Planning of Car-Like Mobile Robots with Velocity Obstacles.