Teaching

Courses

Kansas State University

ECE 685 — Power Systems Design

Follow the lecture slides through generation planning, AC circuits, transformers, transmission lines, and power flow.

Microgrids · Distribution systems

Physics-informed GNN for microgrid N-1 security prediction

Interactive power-flow lessons and code experiments, extending toward physics-informed graph neural networks.

IBR dynamics · Modeling · Physics-informed learning

IBR Dynamics and Physics-Informed Learning

Three core courses connect GFL, GFM, and hybrid modeling, stability and reduction, and physics-informed Neural ODEs. Two advanced topics extend the path to identification and multi-IBR network dynamics.

Student Mentoring

I have mentored or co-mentored undergraduate and graduate interns on topics spanning power systems, AI, and cybersecurity.

Name Level University / Program Topic
Taha Graduate University of Massachusetts (UMass) Amherst Carbon-aware LLM Training
Boqiang Li Graduate Clemson University Economical Training of LLM
Junjie Yin Graduate The University of Tennessee, Knoxville (UTK) Virtual inertia scheduling
Brian Chen Undergraduate / Graduate The University of California, Riverside LLM for Power Engineering
Nabina Niraula Undergraduate Science Undergraduate Laboratory Internship (SULI) Program LLM for DLR benefit Visualization