Poonkuntran Shanmugam
VIT Bhopal University, Velammal College of Engineering and Technology, Manonmaniam Sundaranar University, Bharathidasan University, Royal College of Engineering and Technology
0000-0002-2778-7937
About
Poonkuntran Shanmugam specialized in Computer and Information Technology with 20+ years of experience in academia. He is presently associating with VIT Bhopal University, as a Professor and Executive Dean for Computer Science and Engineering. He has executed 3 funded research projects worth 1.10 crores from DRDO, ISRO & MNRE. He received 2 seminar grants worth 4 lacs from AICTE-ISTE and Anna University, Chennai. He has published more than 90+ technical publications, authored 6 books, 3 edited books, 12 chapters, and holds 9 patents. He is a recipient of the Cognizant Best Faculty Award 2017-18 and served as a State Level Student Coordinator Position for Region VII, CSI, India in 2016-17. He is a lifetime member of IACSIT, Singapore, CSI, India, and ISTE, India. He has produced 3 PhD candidates. He has played a pivotal role in the development and implementation of innovative academic practices, setting up the state of art labs and office automation. His research areas of interest include information security, computer vision, artificial intelligence, and machine learning.
Employment
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VIT Bhopal University2021 - Present
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Velammal College of Engineering and Technology Professor2011 - 2021
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Royal College of Engineering and Technology Assistant Professor2008 - 2011
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VIT University Lecturer2005 - 2008
Education
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Manonmaniam Sundaranar University Ph.D. in Computer and Information Technology2007 - 2011
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Manonmaniam Sundaranar University Master of Technology (M.Tech.) in Computer and Information Technology2003 - 2005
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Bharathidasan University Bachelor of Engineering (B.E.) in Information Technology1999 - 2003
Projects & Funding
Projects & funding information is unavailable.
Publications (166)
- A Hybrid Edge Cloud Predictive Framework for Smart Home Energy Management in Consumer Electronics Using Distilled-Tree and Gradient Boosting Models Save
- AI-Driven Stacked Ensemble Intelligence for Robust Link Quality Classification and Adaptive Resource Management in Satellite–Terrestrial Integrated Networks Save
- Real-Time Spatial-Temporal Depth Separable CNN for Multi-Functional Crowd Analysis in Videos Save
- Holographic Display in Consumer Electronics for Detecting Abnormal IoT Devices Using a Lightweight Security Model Save
- Enhanced Consumer Healthcare Data Protection Through AI-Driven TinyML and Privacy-Preserving Techniques Save
- Multi-Scale Feature Pyramid Network with Camera Artifact Augmentation for Pedestrian Detection Save
- Prediction of malnutrition in kids by integrating ResNet-50-based deep learning technique using facial images Save
- Semantic Segmentation Based on Geometric Calibration Using AI and AR in Health Care Save
- Protecting Medical Images Using Deep Learning Fuzzy Extractor Model Save
- A Novel Healthcare Monitoring System using Optimal Hybrid DL, AR and IoT Save