Jeffin Gracewell
Saveetha Engineering College, Christian College of Engineering and Technology
About
Jeffin Gracewell received his B.E. degree in Electronics and Communication Engineering from Karunya University, Coimbatore during 2010, M.E. degree in Communication Systems from Sri Sivasubramaniya Nadar College of Engineering, Kalavakkam, Chennai during 2012 and his doctoral degree from Anna University, Chennai in the year 2020. He has 10+ years of teaching experience and now is currently working as an Associate Professor in Saveetha Engineering College, Chennai. He has published papers in SCI, Scopus Indexed Journals, National & International conferences. His research interests are in Deep Learning, Machine Learning, Video and Image processing & Speech Signal processing. He is also a reviewer in few of the International Journals and also has been the technical program chair in international conferences. He did his under graduate project in ISRO (Indian Space Research Organization) and also have guided students project in both under graduate and post graduate levels.
Employment
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Saveetha Engineering College Associate Professor2023 - Present
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Saveetha Engineering College Asst Prof2022 - 2023
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Christian College of Engineering and Technology Asst Prof2012 - 2020
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (37)
- Explainable SLM-Guided Vision–Language Model for Multi-class Skin Lesion Recognition Save
- Catalyzing big data excellence: the enhanced Data Placement Policy (EDPP) revolution Save
- An ideal deeply contextual prediction model for an effective prediction and mitigation of cyberbullying in social networks Save
- Case study on implementation of Li-Fi technologies in controlling home appliances using IoT Save
- CrossFormerGAN: enhancing pedestrian trajectory prediction in autonomous driving through advanced attention mechanisms and transformer architectures Save
- Enhancing driver assistance systems with field-programmable gate array based image Filtering: Implementation of adaptive image processing framework for real-time filtering Save
- Hierarchical aspect-based sentiment analysis using semantic capsuled multi-granular networks Save
- Optimized Heart Disease Classification using Neural Networks and SMOTEENN Balanced Training Save
- Secure wireless sensor network transmission using reinforcement learning and homomorphic encryption Save
- Real-Time Weather Classification using Transfer Learning for Enhanced Safety and Decision-Making Save