Prof. Rajpurohit is a dynamic academician and researcher adept at Renewable Energy and Power Electronics Application to Power Systems. Prof. Rajpurohit has expertise in the area of Power Electronics application to Power Systems, Future Electricity Networks, Grid Integration of Renewable Energy, and Power quality. Prof. Rajpurohit has published papers in reputed journals and conferences. He has conducted many short-term courses and workshops. He has both academic and industrial experiences with leadership qualities, thus, can manage academic as well as project-related activities. Prof. Rajpurohit has more than 15 years of involvement with the energy sector in various capacities: graduate-level teaching in energy, research, and industrial experience.

Key Publications:

• V. Tejan, Narsa Reddy, and B. S. Rajpurohit, "Improved Rotor Position Estimation in Sensorless SPMSM Using NSMO and QPLL-Based Frequency Control for Wide Speed Range" IEEE Transactions on Industrial Electronics, vol. XX, pp. XX, 2025.
• D. Panda, P. Kundu, and B. S. Rajpurohit, œReal-time Voltage Control and Harmonics Elimination of Islanded Microgrid Using Back-to-Back Electric Spring, IEEE Transactions on Industry Applications, vol. 60, no. 04, pp. 5825-5839, 2024.
• Usman and B. S. Rajpurohit, "Condition Monitoring of Permanent Magnet AC Machines for All-Electric Transportation Systems: State of the Art," IET Energy System Integration, vol. 6, no. 3, 213-229, 2024.
• R. M. Pindoriya, R. Thakur, B. S. Rajpurohit, and R. Kumar, "Numerical and Experimental Analysis of Torsional Vibration and Acoustic Noise of PMSM Coupled with DC Generator," in IEEE Transactions on Industrial Electronics, vol. 69, no. 4, pp. 3345-3356, April 2022.
• M. Sharma, B. S. Rajpurohit, S. Agnihotri, and S. N. Singh, "Data Analytics Based Power Quality Investigations in Emerging Electric Power System Using Sparse Decomposition," in IEEE Transactions on Power Delivery, vol. 37, no. 06, pp. 4838-4847, Dec. 2022.

Ongoing Projects:

• SERB/ANRF-funded project in 2024 on Intelligent Approaches for Incipient Fault Detection and Remaining Life Estimation of PMSM.