// Who I Am
Research Scholar. Engineer.
PhD candidate in Electrical & Computer Engineering at Michigan State University with a research focus on the grid impacts of AI data centers and hyperscale compute infrastructure, power-system reliability, resilience, energy storage, and grid readiness for the AI era. My work develops probabilistic, optimization-based, and data-driven models to quantify resilience, assess adequacy risk, and support energy storage coordination under extreme events and emerging large-load conditions. My current research on spatially correlated load behavior in AI data-center-dominated power systems addresses a critical gap in traditional reliability and resource adequacy modeling, where large electronic loads can no longer be treated as independent or conventional demand. This work connects reliability theory, power-system dynamics, resilience assessment, and the operational challenges introduced by hyperscale digital infrastructure. I am an active contributor to the IEEE PES Task Force on Resilience Metrics and the IEEE PES Large Electronic Load Modeling Task Force, an R&D intern at Sandia National Laboratories, and open to research collaborations in power systems, grid modernization, AI data centers, resilience, cyber-physical systems, and energy storage.
// Formal Training
Education
Michigan State University — College of Engineering
Coursework: Power System Analysis, Reliability & Stability, Genetic-Algorithm-Based Optimization & Decision Making, Operation of Modern Electric Grids, Linear & Nonlinear Systems, Data-Driven Science & Engineering, Bayesian Statistics
Kathmandu University — School of Engineering
Coursework: Electrical Machines, Power Systems, Power Electronics, Control Systems & Engineering, Power System Planning & Operation, Industrial Electrification & Control, Engineering Capstone Projects
// Professional Record
Experience
ERiSe Research Laboratory, Michigan State University
- Lead research on Reliability Foundations for Operating Strategies for Long Duration Storage, contributing to a technical report deliverable for the project sponsor.
- Investigate emerging grid challenges from concentrated large loads (AI compute clusters and hyperscale data centers), including spatial load correlation, resource adequacy risk, and sub-hourly volatility; contributed multiple publications on data center load modeling and grid impact.
- Serve as contributing member of the IEEE PES Task Force for Resilience Metrics; maintain technical documentation and lead working group contributions.
- Contribute to the IEEE PES Large Electronic Load Modeling Task Force (Power System Dynamic Performance Committee), addressing modeling challenges introduced by hyperscale AI data centers and large electronic loads at the grid interface.
- Developed probabilistic and Bayesian outage models integrating Eagle-I data (2014–2023) with NWS weather metadata across 50 US states.
- Built a SCIP/Gurobi/CPLEX-based resilience optimization model for networked microgrids with rolling-horizon recovery, black-start support, and critical load prioritization.
- Authored and co-authored peer-reviewed publications and reports; presented at IEEE PESGM, PMAPS, NAPS, ICPS, KPEC, CIGRE Grid of the Future, Resilience Week, and other conferences.
Electrical & Computer Engineering Department, Michigan State University
- Instructed and supervised two laboratory sections per week for undergraduate power systems coursework.
- Evaluated lab reports and delivered structured, actionable feedback to improve student performance.
- Collaborated with faculty on course logistics, grading rubrics, and instructional material development.
Sandia National Laboratories
- Surveyed and synthesized reliability assessment methodologies for energy storage systems, producing an internal technical review used by the research group.
- Developed analytical and Deep Reinforcement Learning models for ESS reliability evaluation within bulk power systems, including two-price Markov models and SOC-based transition matrices.
- Collaborated with Sandia researchers on active R&D tasks in grid reliability and data center review and modeling.
Dept. of Electrical & Electronics Engineering, Kathmandu University
- Revitalized the departmental laboratory: audited existing equipment, coordinated repairs, and proposed acquisition of new instruments.
- Prepared laboratory manuals and facilitated academic sessions for undergraduate students.
- Guided final-year students on capstone projects involving circuit design, power systems, and instrumentation.
Green Hydrogen Lab, Kathmandu University
- Executed key deliverables for the Nepal Hydrogen Initiative Program, a nationally funded project targeting green hydrogen adoption.
- Prepared and submitted a successful grant proposal to WWF Nepal — approved and funded at NPR 500,000 — for feasibility analysis of an Intelligent Power Management System for EV charging stations in Nepal.
- Redesigned and updated the Hydrogen Technologies Course curriculum for undergraduate engineering students.
- Organized knowledge dissemination workshops: Green Hydrogen for Nepal: Media Perspective and Business Development from Renewable Energy.
Green Hydrogen Lab, Kathmandu University
- Designed and validated electrical systems for the green hydrogen laboratory, covering instrumentation selection, sensor integration, and system commissioning.
- Performed simulations and circuit designs for power management in EVs and hybrid vehicles.
- Conducted research in hydrogen production and end-use applications; contributed to two IOP conference publications.
// Tools & Technologies
Technical Skills
Programming
Simulation
Optimization
ML / Data
Tools
Hardware
// Recognition
Awards & Achievements
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3× Jetson Orin Nano Developer Kits from NVIDIA Corporation — awarded for introducing and prototyping next-generation AI-based projects.
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5× Zima Board Developer Kits from Icewhale Technology — awarded for enhancing research and project activities among students at Kathmandu University.
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Direct Employment via KU Employment Promotion Program (one-year position) — secured upon achieving the highest academic standing in the Class of 2018, Electrical & Electronics Engineering, Kathmandu University.
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Academic Scholarships for Semesters I, II, III, IV, and VII at Kathmandu University, Nepal.
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Partial Scholarship for Intermediate Science at Prasadi Academy, Lalitpur, Nepal.
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Merit Certificates and Student of the Month recognition from Prasadi Academy, Lalitpur, Nepal.
// Open to Collaboration
Let's work together
Open to research collaborations, speaking invitations, and discussions on power systems, grid resilience, and AI data center infrastructure challenges.