Dr. Surinder chauhan

About

Dr. Surinder Chauhan is an academician and researcher specializing in Artificial Intelligence, Smart Grids, and Optimization Algorithms. He is currently a faculty member at the University of Petroleum and Energy Studies (UPES), School of Computer Science. Prior to UPES, He also served as a faculty member at Chandigarh University and NIT Kurukshetra. He earned his Ph.D. from the National Institute of Technology, Kurukshetra, focusing on optimal placement of micro-Phasor Measurement Units (µPMUs) and AI-based fault detection. He also holds an M.E. in Power Systems & Electric Drives from Thapar University and a B.Tech. in Electrical Engineering (Software specialization) from Kurukshetra University.
Dr. Chauhan has over six years of teaching experience and more than two years of industry experience with Tata Consultancy Services (TCS). He has published 11+ SCI/SCOPUS indexed research papers and presented at leading IEEE international conferences including PIICON, SEFET, and ASIANCON. A recipient of the MHRD Fellowship and a member of IEEE, he also serves as a reviewer for reputed international journals. His technical expertise includes C, C++, Data Structures, AR & VR, Python, MATLAB, Java, and OPAL-RT, with a strong focus on advancing AI-driven solutions for smart energy systems.

Employment

• University of Petroleum and Energy Studies Assistant Professor - Senior Scale
  2025 - Present
• Chandigarh University Assistant Professor
  2023 - 2025
• National Institute of Technology Kurukshetra Assistant Professor (Contract)
  2012 - 2016
• Tata Consultancy Services Assistant System Engineer
  2007 - 2010

Education

• National Institute of Technology Kurukshetra Ph.D
  2017 - 2022
• Thapar Institute of Engineering and Technology (Deemed to be University) M.Tech
  2010 - 2012

Projects & Funding

Projects & funding information is unavailable.

Publications (11)

• Integration of PV -0 BESS into Existing Power System
  2024 IEEE 4th International Conference on Sustainable Energy and Future Electric Transportation (SEFET) 2024 DOI: 10.1109/sefet61574.2024.10718243
  +Save
• Simulation of EV Battery and its Optimum Design Components
  2023 4th International Conference on Intelligent Technologies (CONIT) 2024 DOI: 10.1109/conit61985.2024.10627096
  +Save
• Hybrid Approach-Based Placement of Micro-Phasor Measurement Units in Active Distribution Networks
  Asian Journal of Water, Environment and Pollution 2024 DOI: 10.3233/ajw240035
  +Save
• Protection Circuits for Optimal Battery Management of Battery Electric Vehicle Scooters
  2023 3rd Asian Conference on Innovation in Technology (ASIANCON) 2023 DOI: 10.1109/asiancon58793.2023.10270028
  +Save
• Supercapacitor and Battery Hybrid Energy Storage System for Electric Vehicle
  2023 3rd Asian Conference on Innovation in Technology (ASIANCON) 2023 DOI: 10.1109/asiancon58793.2023.10270507
  +Save
• Optimal placement of wide area monitoring system components in active distribution networks
  International Journal of Emerging Electric Power Systems 2022 DOI: 10.1515/ijeeps-2021-0184
  +Save
• Estimating Parallel Transmission Line Fault Using Phasor Measurement Unit based Artificial Neural Network
  Majlesi Journal of Electrical Engineering 2022 DOI: 10.52547/mjee.16.1.33
  +Save
• Multiple μPMU placement solutions in active distribution networks using nonlinear programming approach
  International Transactions on Electrical Energy Systems 2021 DOI: 10.1002/2050-7038.13116
  +Save
• Optimal Placement of µPMUs in Distribution System Integrated with Distributed Energy Resources
  2020 IEEE 9th Power India International Conference (PIICON) 2020 DOI: 10.1109/piicon49524.2020.9112925
  +Save
• Fault Identification of double Circuit Transmission Lines using Phasor Measurement Unit
  2018 IEEE 8th Power India International Conference (PIICON) 2018 DOI: 10.1109/poweri.2018.8704362
  +Save