Faculty & Staff
Contact
-
Email
sagar.cs.et@msruas.ac.in
- Phone
- Extension 2215
- Websites
Mr. Sagar D
Assistant Professor
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School/College
Faculty of Engineering and Technology
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Department
Department of Computer Science and Engineering
Working as a faculty in CSE Department and working on domains like, Autonomous electric vehicles, Embedded systems, Intelligent systems, and system-level automotive embedded development.
Qualifications
- Ph.D. (Pursuing)
MSRUAS
- Master of Technology in Automotive Electronics
MSRUAS, 2016
- Bachelor of Engineering in Mechanical Engineering
PDA college of Engineering, 2014
Experience
Total Years of Experience06 Years / 07 Months
Academic Experience
- MSRUAS
- Autonomous electric vehicles
- Robotics
- Intelligent systems
- Sagar, D. and Narasimha, M.K., 2019. Development and Simulation Analysis of a Robust Face Recognition Based Smart Locking System. In Innovations in Electronics and Communication Engineering: Proceedings of the 6th ICIECE 2017 (pp. 3-14). Springer Singapore.
- Sagar, D. and Singh, H., 2021, April. Design and Development of Power Management Framework for Electrical Vehicles in Smart City Grid. In 2021 6th International Conference for Convergence in Technology (I2CT) (pp. 1-5). IEEE.
- Parth, S.R. and Sagar, D., 2020. Design and Development of Fuel Efficiency Monitoring System. In Emerging Trends in Photonics, Signal Processing and Communication Engineering: Proceedings of ICPSPCT 2018 (pp. 163-170). Singapore: Springer Singapore.
- Sagar, D. and Unni, A., 2022, April. A Study on Instability and Parameter Drift in Electric Vehicle Battery Packs. In 2022 IEEE 7th International conference for Convergence in Technology (I2CT) (pp. 1-5). IEEE.
- Joy, J., Rahul, V. and Sagar, D., 2022, April. Dynamic Vehicular Diagnostic Tool for Identifying Random Errors & Real-Time Solution Providers using Android Based Multi-Variant End User Profiles. In 2022 IEEE 7th International conference for Convergence in Technology (I2CT) (pp. 1-6). IEEE.
- Patel, P., Sagar, D. and Rao, N., 2020. Design and Development of Prognosis Based Body Monitoring and Reporting System Using Time Series Analysis. In Emerging Trends in Photonics, Signal Processing and Communication Engineering: Proceedings of ICPSPCT 2018 (pp. 171-177). Singapore: Springer Singapore.
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