Parikshit Pareek
Scholar

Parikshit Pareek

Google Scholar ID: LIWKqnYAAAAJ
Assistant Professor at Indian Institute of Technology, Roorkee
Machine LearningPower SystemsQuantum Computing for Grid
Citations & Impact
All-time
Citations
410
 
H-index
11
 
i10-index
12
 
Publications
20
 
Co-authors
11
list available
Resume (English only)
Academic Achievements
  • Published paper 'Degradation-Infused Energy Portfolio Allocation Framework: Risk-Averse Fair Storage Participation Energy' accepted in Energy; Brief paper accepted for poster at NeurIPS 2024 Workshop on Bayesian Decision-making and Uncertainty; Awarded PM Early Career Research Grant for a project titled 'Secure EV-Rich Distribution Grid Operations via Prior-data Fitted Networks'.
Research Experience
  • Former Postdoctoral Research Associate at Advanced Network Science Initiative (ANSI) and Applied Mathematics Division (T-5), Los Alamos National Laboratory, USA, collaborating with Sidhant Misra and Deepjyoti Deka on developing applied machine learning tools for power grids and networked systems.
Education
  • Ph.D. from the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, advised by Hung D. Nguyen; M.Tech in Energy Studies from the Department of Energy Science and Engineering at Indian Institute of Technology Delhi, advised by Ashu Verma.
Background
  • Research interests include addressing probabilistic challenges in electrical energy grids using AI + Optimization + Physics, and exploring the potential of quantum computing for power grid and broader engineering applications. Currently an Assistant Professor in the Department of Electrical Engineering at Indian Institute of Technology Roorkee.
Miscellany
  • Personal interests not specifically mentioned.