0000-0003-3510-3694 About
Dr. Sasikumar P is an Assistant Dean – Academic Research at VIT University, Vellore, India. He is actively involved in advancing interdisciplinary research, fostering research excellence, and promoting innovation through academic–industry collaborations. His research interests encompass Artificial Intelligence, Machine Learning, Internet of Things (IoT), Embedded Systems, Blockchain Technology, Cyber-Physical Systems, Intelligent Automation, Smart Agriculture, Healthcare Technologies, and Intelligent Transportation Systems.
Dr. Sasikumar has supervised and mentored research scholars across diverse domains and has published extensively in reputed international journals and conferences indexed in SCIE, Scopus, and other leading databases. His work focuses on developing intelligent, sustainable, and technology-driven solutions for real-world challenges through the integration of AI, edge computing, digital twins, sensor networks, and secure distributed systems.
In addition to his research contributions, he plays a significant role in research administration, policy implementation, faculty development, and promoting responsible research practices. He actively supports initiatives related to research integrity, publication ethics, quality research output, intellectual property generation, and international collaborations.
His current interests include trustworthy AI, digital transformation, smart infrastructure, precision agriculture, autonomous systems, and emerging technologies for sustainable development. Through his academic leadership and research, he is committed to strengthening innovation ecosystems and enhancing the global impact of scholarly research.
Employment
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Vellore Institute of Technology Professor2009 - Present
Education
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Vellore Institute of Technology Ph.D2010 - 2017
Projects & Funding
Projects & funding information is unavailable.
Publications (63)
- Dynamic variance-aware federated tuning for efficient autonomous vehicle perception under non-IID settings Save
- Smart mobility infrastructure: improving campus parking efficiency in real time Save
- A Data-Driven Aircraft Health Monitoring System: IoT Integration, Predictive Maintenance, and Cybersecurity Validation Save
- Enhancing Parking Efficiency with Computer Vision: A Real-Time Approach Save
- Integrating Federated Learning and YOLO Models for Robust Object Detection Across Edge Platforms Save
- Leveraging Deep Learning for Real-Time Object Detection in Campus Surveillance Save
- Principles of sustainable healthcare: protect and improve public health Save
- AI-Driven DenseResConcatenation Network for Early and Accurate Detection of Gastrointestinal Abnormalities Save
- Deep learning-driven IoT solution for smart tomato farming Save
- VINO_EffiFedAV: VINO with efficient federated learning through selective client updates for real-time autonomous vehicle object detection Save