Artificial Intelligence in IoT and Cyborgization

Rajesh Kumar Dhanaraj is a Professor in Symbiosis International (Deemed University), Pune, India. Prior to this assignment he was Professor, School of Computing Sciences & Engineering, Greater Noida, India.  He received the B.E. degree in Computer Science and Engineering from the Anna University Chennai, India in 2007 and the M.Tech from the Anna University Coimbatore, India in 2010 and Ph.D. degree in Computer Science from Anna University, Chennai, India, in 2017. He has contributed 45+ Authored and Edited books on various technologies, 21 Patents and 70+ articles and papers in various refereed journals and international conferences and contributed chapters to the books. His research interests include Machine Learning, Cyber-Physical Systems and Wireless Sensor Networks. He is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE), member of the Computer Science Teacher Association (CSTA); and International Association of Engineers (IAENG). He is serving as an Associate Editor and Guest Editor for reputed journals Elsevier Computers and Electrical Engineering, Human-centric Computing and Information Sciences, Emerald - International Journal of Pervasive Computing and Communications, Hindawi - Mobile Information Systems, etc. He is an Expert Advisory Panel Member of Texas Instruments Inc USA.Bharat S. Rawal (D.Sc.-SM-IEEE) is currently serving as a full Professor of Cybersecurity, at Benedict College, Columbia, SC, USA. Before Joining Benedict College, he served as Department Chair of the Computer Science, Information Technology Data Science program at Capitol Technology University and an assistant professor in the Department of Information Sciences and Technologies, at Pennsylvania State University, Abington. Before joining Penn State, he was at Duke University as a visiting assistant professor. His research interests include cyberspace security, networking, and blockchain. Prior to entering academia, Dr.Rawal served as a CEO for the pharmaceutical and cybersecurity industries. He has published around 100 articles in journals and conference proceedings. His areas of research interest are networking, network security, blockchain, HPC, and AI. He is a guest editor for various international journals including Springer, Elsevier, Intercedence, IGI, and Taylor Francis. Balamurugan Balusamy is currently working as an Associate Dean Student in Shiv Nadar Institution of Eminence, Delhi-NCR. Prior to this assignment he was Professor, School of Computing Sciences & Engineering and Director International Relations at Galgotias University, Greater Noida, India. His contributions focuses on Engineering Education, Block chain and Data Sciences. His Academic degrees and twelve years of experience working as a Faculty in a global University like VIT University, Vellore has made him more receptive and prominent in his domain. He does have 200 plus high impact factor papers in Springer, Elsevier and IEEE.  He has done more than 80 Edited and authored books and collaborated with eminent professors across the world from top QS ranked university. Prof. Balamurugan Balusamy has served up to the position of Associate Professor in his stint of 12 years of experience with VIT University, Vellore. He had completed his Bachelors, Masters and PhD Degrees from Top premier institutions from India. His passion is teaching and adapts different design thinking principles while delivering his lectures. He has published 80+ books on various technologies and visited 15 plus countries for his technical course. He has several top-notch conferences in his resume and has published over 200 of quality journal, conference and book chapters combined. He serves in the advisory committee for several startups and forums and does consultancy work for industry on Industrial IOT. He has given over 195 talks in various events and symposium.

• Introduction to Cyborgization systems.-  AI based Smart IoT systems.-  Role of Machine Learning and Deep Learning applications in the Internet of Things (IoT) Security.-  IOT Based Experimental Relaying System for Smart Grid.- Environment Twin based Deep learning model using Reconfigurable Holographic Surface for user location prediction.- Surveillance of Robotic Boat Using IoT and Image Processing.- Advanced Human – Computer Interaction Technology in Digital Twins.- CNN Architecture and Classification of Miosis and Mydriasis Clinical Conditions.- Role of Object Detection for Brain Tumor Identification Using Magnetic Resonance Image Scans.- Deep Learning Model for Predicting Diabetes Disease Using SVM.- Deep Learning For Targeted Treatment.