Teaching
undergraduate courses
ELET 3307 - Electrical Machines and Controls, 2019 - 2024 Fall
ELET 3312 - Programmable Logic Controllers & Motor Control Systems, 2020 - 2024 Spring,
ELET 4319 - Electrical Power Systems and Industry Practices, 2021 - 2024 Spring,
ELET 2301 - Poly-phase Circuits and Transformers, 2021 - 2024 Fall
Library
Electricity Market Courses:
Fundarmentals of Power System Economics, Professor Daniel S. Kirschen, UW Seattle
Electricity Market Analytics, Professor Antonio J. Conejo, OSU
Restructured Electricity Markets: Locational Marginal Pricing, Professor Ross Baldick, UT Austin
Power System Operations Courses:
Power Systems – Analysis & Operations, Professor Antonio J. Conejo, OSU
Electric Power System Analysis Method, Professor Thomas Overbye, TAMU
Power System Analysis, Professor Steven H. Low, Caltech
Power Systems: Fundamental Concepts and the Transition to Sustainability, slides and simulations, Professor Daniel S. Kirschen, UW Seattle
Energy and Optimization:
DTU CEE Summer School
Quantum Mechanics:
Quantum Mechanics I, Professor Barton Zwiebach, MIT
Quantum Mechanics I, Professor Allan Adam, MIT
Quantum Mechanics II, Professor Barton Zwiebach, MIT
Quantum Mechanics III, Professor Barton Zwiebach, MIT
The Theoretical Minimum, Professor Leonard Susskind, Stanford
Quantum Computing Courses:
Quantum Computation, Professor John Preskill, Caltech
Quantum Computation, Professor Steven Herbert
Quantum Networking Courses:
Quantum Communications, Professor Rod Van Meter
Data Structure and Algorithm:
Data Structures and Algorithm Analysis in Java / C++, Mark Allen Weiss
Data Structures & Other Objects Using C++, Michael Main, Walter J. Savitch
Algorithms, Robert Sedgewick, Kevin Wayne
Algorithm Design, Jon Kleinberg, Éva Tardos
Optimization Theory and Algorithm:
Nonlinear Programming Theory and Algorithms, Mokhtar S. Bazaraa, Hanif D. Sherali, C. M. Shetty
Integer Programming, Michele Conforti, Gérard Cornuéjols, Giacomo Zambelli
Integer Programming, Laurence A. Wolsey
Nonlinear Programming, Dimitri P. Bertsekas
Convex Optimization Theory, Dimitri P. Bertsekas
Convex Optimization Algorithms, Dimitri P. Bertsekas
Machine Learning:
Deep Learning, Ian Goodfellow, Yoshua Bengio, Aaron Courville
Reinforcement Learning: An Introduction, Richard S. Sutton, Andrew G. Barto
Writing:
F. Ecarnot, M.-F. Seronde, R. Chopard, F. Schiele, N. Meneveau, Writing a scientific article: A step-by-step guide for beginners, European Geriatric Medicine, Volume 6, Issue 6, 2015, Pages 573-579