Curriculum Vitae

Academic and Professional Background

Education

Doctor of Philosophy (PhD) in Electrical Engineering
Indian Institute of Technology Bombay (IIT Bombay)
2021
Dissertation Focus: Smart grids and battery storage management for renewable energy integration

Master of Technology (MTech) in Control and Computing
Indian Institute of Technology Bombay (IIT Bombay)
Electrical Engineering Department

Bachelor of Technology (BTech) in Electronics and Communication Engineering
Visvesvaraya National Institute of Technology (VNIT), Nagpur

Professional Experience

Assistant Professor
Plaksha University
Current Position
- Conducting research on sustainable energy systems and AI applications - Teaching courses in electrical engineering and machine learning - Contributing to the Indorama Ventures Center for Clean Energy - Guiding student career development

Postdoctoral Researcher
Manning College of Information and Computer Sciences, University of Massachusetts Amherst
- Developed AI-driven solutions for enhancing sustainability of energy systems - Researched renewable energy integration and battery storage optimization - Quantified decarbonization potential of flexible loads in residential buildings - Analyzed electricity market dynamics and optimization

Research Grants

Plaksha University Startup Research Grant
Principal Investigator

Publications

Journal Articles

  • “Sizing storage for reliable renewable integration.” Journal of Energy Storage, 2020.
  • “Sizing storage for reliable renewable integration: A large deviations approach.” Journal of Energy Storage, 2020.
  • “Statistical economies of scale in battery sharing.” Journal of Energy Storage, 2021.

Conference Proceedings

  • “Optimal Cycling of a Heterogenous Battery Bank via Reinforcement Learning.” IEEE International Conference on Communications, Control, and Computing, 2021.
  • “Pareto-optimal energy sharing between battery-equipped renewable generators.” Eleventh ACM International Conference on Future Energy, 2020.
  • “Quantifying the Decarbonization Potential of Flexible Loads in Residential Buildings.” The 10th ACM International Conference on Systems for Energy, 2023.
  • “Low cost hardware-in-loop for automotive application.” International Conference on Industrial Instrumentation and Control, 2015.
  • “Hardware in the loop for electronic speed limiter.” IEEE International Transportation Electrification Conference (ITEC), 2015.

Teaching Experience

  • Signals and Systems, Plaksha University, Spring 2024
  • Advanced Topics in Machine Learning for Energy Systems, PhD Program

Technical Skills

  • Programming Languages: Python, MATLAB, R
  • Machine Learning Frameworks: TensorFlow, PyTorch, Scikit-learn
  • Energy Simulation Tools: HOMER, OpenDSS
  • Mathematical Modeling: Stochastic modeling, Optimization, Control theory

Research Expertise

  • Renewable energy integration
  • Battery storage optimization
  • Reinforcement learning and machine learning applications
  • Smart grid technologies
  • Energy arbitrage and market optimization
  • Classical electromagnetics and Weber’s electrodynamics

Languages

  • English (Professional)
  • Hindi (Native)

References

Available upon request