Rakesh Kumar S

Assistant Professor, Computer science engineering, GST, BLR

rsakthiv@gitam.edu | |

Dr. S. Rakesh Kumar is from Madurai, Tamil Nadu. He received his Ph.D in Information and Communication Engineering from Anna University Chennai. He has several publications in journals, conference proceedings, and edited book volumes. His research interests include Artificial Intelligence and Machine learning. He is an active IEEE Computer Society faculty Advisor.

Research Publications
  • Ensemble classification and IoT-based pattern recognition for crop disease monitoring system. IEEE Internet of Things Journal(Indexing: SCIE Impact Factor:10.6)
  • Multilingual News Feed Analysis using Intelligent Linguistic Particle Filtering Techniques. ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING (Indexing: SCIE Impact Factor:1.8)
  • Multimodal News Feed Evaluation System with Deep Reinforcement Learning Approaches. ACM Transactions on Asian and Low-Resource Language Information Processing(Indexing: SCIE Impact Factor:1.8)
  • Secure and Consistent Job Administration Using Encrypted Data Access Policies in Cloud Systems. Computers & Electrical Engineering (Indexing: SCIE Impact Factor:4.0)
  • Core‐level cybersecurity assurance using cloud‐based adaptive machine learning techniques for manufacturing industry. Transactions on Emerging Telecommunications Technologies, Wiley (Indexing :SCIE Impact Factor:2.5)
Ongoing Research Projects
  • Intelligent Transportation system using Machine learning
  • Disease prediction using Machine learning
Authored Books
  • Blockchain Security in Cloud Computing: Use cases, Challenges and Solutions, Springer
  • AI and IoT based intelligent automation in Robotics, Wiley ( prescribed as the Reference book by Stanford University)
  • Applications of Artificial Intelligence in E-Healthcare System,IET
  • Proceedings of the First International Conference on Data Engineering and Machine Intelligence, ,Springer(ICDEMI-2023 GITAM University, BLR)
Expertise
  • Artificial Intelligence and Machine learning, Networks
Rakesh Kumar S