Jagadish kumar N
SRM Institute of Science and Technology, Sri Sai Ram Engineering College, Anna University, Chennai, Velammal Institute of Technology
About
I am currently working as an Assistant Professor in the Department of Data Science and Business Systems at SRM University, Kattankulathur Campus, with 18+ years of professional experience, including 10 years in academia.
I hold an M.E. in Computer Science and Engineering from Madras Institute of Technology (MIT) and earned my Ph.D. in the Faculty of Information and Communication Engineering from Anna University. My research expertise spans Big Data Analytics, Cloud Computing, Machine Learning, and Optimization Techniques.
As an active researcher, I have published 35+ Scopus-indexed papers, accumulating 355+ citations with an H-index of 12. Additionally, I hold a design patent grant, reflecting my commitment to innovation and technological advancements.
Beyond academia, I am deeply passionate about entrepreneurship and the startup ecosystem. I have been actively involved in organizing innovation-driven activities through the Institution Innovation Council (IIC), fostering a culture of research, problem-solving, and emerging technology adoption.
Employment
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SRM Institute of Science and Technology Assistant professor2024 - Present
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Sri Sai Ram Engineering College Assistant professor2023 - 2024
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Velammal Institute of Technology Assistant professor2014 - 2023
Education
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Anna University, Chennai PhD2018 - 2024
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Anna University, Chennai ME(C.S.E)2012 - 2014
Projects & Funding
Projects & funding information is unavailable.
Publications (33)
- Hybrid Golden Eagle Optimization and Simulated Annealing (H-GEO-SA) for Efficient Resource Allocation in Edge Computing Save
- Bio-Inspired Optimization to Enhance the Performance in 6G Networks of Reconfigurable Intelligent Surfaces Save
- Secured and Privacy-Preserved Aggregation of Data in Edge Computing Using Blockchain-Based Secured Aggregation (BSA) Save
- Quantum-SVM (SVM) for Parkinson's Disease Prediction Using Wearable IoT Sensors Save
- Swarm Intelligence with a Chaotic Leader and a Salp algorithm: HDFS optimization for reduced latency and enhanced availability Save
- Cost-efficient resource scheduling in cloud for big data processing using metaheuristic search black widow optimization (MS-BWO) algorithm Save
- Recognizing the misleading dating app ecosystem Save
- Predict the Price in Stock Market Based on Heuristic Search Techniques Using Tensor Representation Save
- Optimized Retrieval of Data from Cloud using Hybridization of Bellstra Algorithm Save
- Machine Learning System For Indolence Perception Save