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Faculty Profile
Ashvin Manoj
Ashvin Manoj
Assistant Professor

Ashvin Manoj is an Assistant Professor and AI/ML researcher in the field of Computer Science and Engineering, currently serving at the Department of Computer Science and Engineering (Artificial Intelligence), Adi Shankara Institute of Engineering and Technology.

He has experience in undergraduate teaching, laboratory instruction, student mentoring, software development, and Artificial Intelligence research. His professional experience also includes working as a Software Developer at Mastermine Technologies, where he contributed to backend services, frontend workflows, desktop application development, and LLM-based analytics systems. He has additionally gained technical experience in robotics, industrial automation, and hardware–software systems.

Qualification details

Ashvin holds an M.Tech in Computer Science and Engineering with specialization in Artificial Intelligence and Machine Learning from Rajagiri School of Engineering and Technology. He also holds a B.Tech (Honours) in Robotics and Automation from Adi Shankara Institute of Engineering and Technology.

Krishnan, S., M. Karuppasamypandiyan, and Ashvin Manoj. “A Hybrid Transformer Model Approach for Precision Weed Detection.” 2025 4th International Conference on Advances in Computing, Communication, Embedded and Secure Systems (ACCESS), 2025, pp. 1–7. DOI: 10.1109/ACCESS65134.2025.11135583.

Nair, Amrutha Muralidharan, et al. “HalluChain: Measuring and Controlling Cascade Hallucination Propagation in Multi-Agent LLM Pipelines.” 2026 2nd International Conference on Innovations in Mechanical, Robotics, Computing and Biomedical Engineering (ICIMRBE), 2026, pp. 1–5. DOI: 10.1109/ICIMRBE70745.2026.11709899.

Ashvin Manoj's research focuses on the application of Artificial Intelligence and Machine Learning to real-world challenges in healthcare, computer vision, natural language processing, and robotics. His primary research interests include Multimodal Learning, Graph Neural Networks, Deep Learning, Medical AI, Explainable Artificial Intelligence, Computer Vision, Natural Language Processing, and Intelligent Robotics. With an academic background in Robotics and Automation, his interests also extend to the integration of Artificial Intelligence with robotic systems, intelligent automation, computer vision, and autonomous technologies.

Email Phone Date Of Joining
ashvinm.ds@adishankara.ac.in 8848236253 15-06-2026