View Profile

Ravi Sekhar

Assistant Professor, Department of Mechanical Engineering · Symbiosis Institute of Technology, Pune, Symbiosis International (Deemed University), Pune, India

https://researchid.co/rsekhar99
@sitpune.edu.in
155Scopus Publications
2258Google Scholar Citations
27Google Scholar h-index
68Google Scholar i10-index

Research Interests

Machine and deep learning based modeling and control of mechanical systems

Biography

Ravi Sekhar was born in New Delhi, India in 1983. He received B.Tech. in Production Engineering (2006) and M.Tech. in CAD CAM (2012) from Bharati Vidyapeeth University, Pune, Maharashtra, India. He received Ph.D. degree from Symbiosis International (Deemed University), Pune, India in 2021. Currently, he is an Assistant Professor in the Department of Mechanical Engineering, Symbiosis Institute of Technology, Pune. His area of research is metal matrix composites, bolted joint design, system identification and control of mechanical systems. He has more than 13 years of industry and academic experience. He has published 34 research papers in reputed journals such as Journal of Materials Research \& Technology, Particulate Science and Technology, Engineering Letters and more. He reviews articles for Silicon, Archives of Civil and Mechanical Engineering, Journal of Mechanical Science and Technology, Journal of Materials Research and Technology and IEEE Access.

Education

Ph.D. (machining of composite materials), M.Tech. (CAD/CAM), B.Tech. (Production Engineering)

Recent Scopus Publications

  1. Selective harmonic elimination in T-type multilevel inverter with reduced switch count using Sea-Horse Algorithm
    Scientific Reports, 2026
  2. Morphological Change Detection of the Lesser Zab River Between Dukan and Taq Taq Using GIS and Remote Sensing Techniques
    International Journal of Design and Nature and Ecodynamics, 2026
  3. Exhaust Emissions Testing of a Passenger Car with Compressed Natural Gas and Compressed Biogas Fuels for Assessment of Tank-to-Wheel Emissions
    International Journal of Transport Development and Integration, 2026
  4. Optimized Ultra-low-power Analog Front-end for Reliable Biomedical Wearables
    International Journal of Intelligent Engineering and Systems, 2026
  5. Self-Supervised Anomaly Detection in Encrypted Network Flows Using GRU Models with Sequence Reconstruction Loss
    Iccr 2025 3rd International Conference on Cyber Resilience, 2025

Links