Dr. Kumaravel S

Assistant Professor

Assistant Professor of Mechanical Engineering at Dayananda Sagar University, Bengaluru, with 11+ years of academic, teaching, research, and institutional experience. The professional profile focuses on the integration of Mechanical Engineering, Artificial Intelligence, Machine Learning, Advanced Materials and Design Engineering.

Research interests include Artificial Intelligence, Machine Learning, Deep Learning, Advanced Manufacturing, Metal Matrix Composites (MMCs), High-Entropy Alloys (HEAs), Friction Stir Processing (FSP), tribology, process optimization and AI-based predictive modelling. Research activities integrate ANN, LSTM, Ensemble Machine Learning, Python-based modelling, RSM and DOE for prediction, optimization and intelligent engineering applications.

Completed NPTEL courses in “Machine Learning for Engineering and Science Applications” and “Machine Learning Using Python Programming”. Also actively pursuing professional learning in Artificial Intelligence, Deep Learning, NVIDIA technologies and NVIDIA Deep Learning Institute (DLI).

Published research in SCI/Scopus-indexed Q1 and Q2 international journals, with research contributions spanning AI/ML-based prediction, advanced materials, intelligent manufacturing, composite materials, tribology and process optimization. Also involved in patent development and innovation, with patents related to emerging engineering technologies and AI/ML-oriented applications.

With a strong interdisciplinary approach, the focus is on bridging Mechanical Engineering with Artificial Intelligence and Machine Learning to develop intelligent manufacturing solutions, advanced materials, predictive engineering systems, high-impact research, patents and industry-oriented innovations.

Core Expertise

• Artificial Intelligence
• Machine Learning
• Deep Learning
• Python
• NVIDIA
• DLI
• Ensemble Learning
• Predictive Modelling
• MMCs
• HEAs
• Friction Stir Processing
• Optimization
• Design Engineering
• Patents
• Research & Innovation

Google Scholar:https://scholar.google.co.in/citations?user=H0ZxMgIAAAAJ

Scopus:https://www.scopus.com/authid/detail.uri?authorId=58695495100

ORCID:https://orcid.org/0000-0003-4902-7864