Hariharan Shanmugasundaram
Also known as: Shanmugasundaram Hariharan, S Hariharan
Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Anna University
About
Dr.S.Hariharan received his B.E degree specialized in Computer Science and Engineering from Madurai Kammaraj University, Madurai, India in 2002, M.E degree specialized in the field of Computer Science and Engineering from Anna University, Chennai, India in 2004 and Ph.D degree in the area of Information Retrieval from Anna University, Chennai, India in the year 2010. He is a Senior member of IEEE and member of various professional societies like ACM, IAENG, IACSIT, ISTE, CSTA and has 22 years of experience in teaching. Currently he is working as Professor in Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India. His research interests include Information Retrieval, Data mining, Opinion Mining, Web mining. He has to his credit several papers in referred journals and conferences. He also serves as editorial board member and as program committee member for several international journals and conferences. His contribution is mainly on developing the theory and performance and computations.
Employment
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Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Professor2025 - Present
Education
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Anna University Ph.D
Projects & Funding
Projects & funding information is unavailable.
Publications (326)
- Next-Gen Travel Safety for Women Save
- AI-driven blockchain lending for sustainable development: a machine learning framework for loan risk and eligibility classification Save
- A novel LSTM-NSMFO framework for designing hybrid renewable energy systems with green hydrogen integration Save
- BioOtoFusionNet - A bio-attention & frequency-aware hybrid network for ear disease classification Save
- BrainDx: a dual-transformer framework using PVT and SegFormer for tumor diagnosis Save
- Dynamic EV Energy Exchange using On-Board Converters Save
- Energy optimization in AIoT-based healthcare monitoring using reinforcement learning variational quantum algorithm Save
- Enhancing transparent diagnosis of cognitive impairments through advanced electroencephalography classification and explainable artificial intelligence techniques Save
- Hybrid Neuro-Fuzzy Model for Earthquake Damage Prediction Save
- Next- Gen Travel Safety for Women: Integrating Advanced Technologies for Enhanced Security Save