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Dr. S. Gopikrishnan
VIT-AP University, Karpagam College of Engineering, Anna University, Chennai, Karpagam Institute of Technology
About
Dr. S. Gopikrishnan is currently working as Associate Professor in the School of Computer Science and Engineering, VIT-AP University, Amaravathi. He received BE, ME, and a Ph.D. degree in Computer Science and Engineering from Anna University, Chennai. His current research interests include algorithm design and analysis for wireless ad hoc networks, wireless sensor networks, the internet of things, and cyber-physical system. He is an active reviewer in many reputed journals of IEEE, Springer, and Elsevier.
Employment
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VIT-AP University Associate Professor2019 - Present
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Karpagam College of Engineering Assistant Professor2014 - 2019
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Karpagam Institute of Technology Assistant Professor2012 - 2014
Education
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Anna University, Chennai M.E.,2010 - 2012
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Anna University, Chennai B.E.,2005 - 2009
Projects & Funding
Projects & funding information is unavailable.
Publications (54)
- A Multi-Resolution Hypergraph Transformer for Explainable Retinal Disease Prediction Save
- A Developmentally Staged Transformer Framework for Progressive Cognitive Learning in Language Understanding Save
- Topology-Constrained Representation Dynamics for Robust and Stable Transformer Learning Save
- Real-Time Hash Key Adaptation Through Artificial Twins for Lightweight Cryptographic Security in IoT Systems Save
- HealthEngine: An Integrated Healthcare Analytics Model Using Multimodal Transformer, Deep Multitask Neural Networks, and SHAP Save
- Secure and Efficient Authentication Architecture for IoT Devices in Resource-Limited Networks Save
- Toward Explainable Cross-Lingual Adaptive NAS for Enhanced Tamil Medical Text Summarization Save
- A Personalized and Privacy-Preserving Federated Transformer Framework for Multilingual Sentiment Analysis Save
- The Convergence of Deep Learning and the Metaverse: A Multidisciplinary Survey of Current Research and Future Directions Save
- Efficient Hierarchical Multimodal Graph Neural Networks for AI-Driven Decision-Making in Consumer Data Save