Join Us!
For Prospective Students: I am currently seeking PhD candidates for Autumn Semester 2025 (July Intake) through the Electrical Engineering admission process at IIT Roorkee. Please refer to the application guidelines available here.
I encourage applicants with backgrounds in electrical engineering, operations research, and applied machine learning to apply. I am particularly interested in students who are eager to develop expertise to address complex challenges in power engineering via \(\large Power+AI\) route. In my experience, it is often more effective to teach the specifics of power engineering to individuals with strong mathematical, computational, or operational research backgrounds than vice versa.
Please feel free to email me at here with the subject line “Propective Masters/Doctoral Student Application Autumn 2025 - [Your Name]”, including a brief overview of your interests and how you would contribute to our research group. Try and review a few of the resources given below before writing to me. Attach your CV and any other relevant documents. If you do not receive a response, please do not hesitate to follow up.
Existing IITR UG & PG: If you are a current IIT Roorkee undergraduate or postgraduate student, write to me here. You can also visit me at my office: 214A, East Wing, EE Building, preferably with prior appointment. I have exciting opportunities to work on projects related to machine learning and quantum computing applications for power system analysis, optimization and other engineering projects.
Internship Opportunities for External Students: I have limited opportunities for summer internships in the upcoming summer for projects related to machine learning applications in power system analysis, optimization, and other engineering domains. Students from outside IIT Roorkee can reach out to me at here for more details. Early movers get priority consideration!
Some Relevent Resources:
-
Seminar Series : enOPTIMAL, DTU PES Summer School, …
-
Some Papers : Optimal Power Flow, Gaussian Process for Power Flow, Power System Optimization under Uncertainty, End-to-End Learning, …
Contact Details
Office: Room 214A, 1st Floor, East Block, Department of Electrical Engineering, IIT Roorkee, Uttarakhand, India - 247667
Email: [mylastname] [at] [ee] [dot] [iitr dot ac dot in]
Website: https://psquare-lab.github.io