SS
Saravanan Srinivasan
SRM Institute of Science and Technology, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, PSNA College of Engineering and Technology
0000-0001-7884-3532
About
I have over 17 years of teaching experience and 2 years of IT industry exposure, which together enable me to deliver classes with both academic depth and practical insights. My passion lies in the field of Cybersecurity, where I constantly strive to address and mitigate emerging vulnerabilities and threats. As an active researcher, I have published extensively in reputed Web of Science (WoS) indexed journals, contributing to the advancement of knowledge in my domain.
Employment
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SRM Institute of Science and Technology Associate Professor2025 - Present
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Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Associate Professor & HOD2022 - Present
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PSNA College of Engineering and Technology Associate Professor2009 - 2022
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Symantec Corporation Client-System Security Analyst2007 - 2009
Education
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PSNA College of Engineering and Technology Ph.D2020 - 2021
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PSNA College of Engineering and Technology Master of Engineering - Information Technology2009 - 2012
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Christian College of Engineering and Technology Bachelor of Engineering2001 - 2005
Projects & Funding
Projects & funding information is unavailable.
Publications (30)
- A novel machine learning framework for predicting and preventing neck pain in mobile device users through ergonomic optimization Save
- DrowSFormer-XAI: A Cross-Attentive Neural Network-Transformer Fusion Framework for Drowsiness Detection with Explainable AI Save
- Fruit disease classification using transformer and convolutional architectures with explainable AI Save
- Multi-class classification of plant leaf diseases using a hybrid deep neural transformer system and explainable AI techniques Save
- A hybrid convolution and attention-based framework with visual explanation for fruit disease identification Save
- Development of a Real-Time Deep Learning-Based System for Automated Detection and Classification of Diabetic Retinopathy in Fundus Images Save
- Robust multiclass classification of crop leaf diseases using hybrid deep learning and Grad-CAM interpretability Save
- Early Detection of Banana Leaf Disease Using Novel Deep Convolutional Neural Network Save
- A multimodal machine learning model for bipolar disorder mania classification: Insights from acoustic, linguistic, and visual cues Save
- DBA-ViNet: an effective deep learning framework for fruit disease detection and classification using explainable AI Save