Teaching

Instructor

Undergraduate Courses:

• • ISE 2404: Deterministic Operations Research I, Spring 2018, Spring 2020

    •  Introduce linear optimization including modeling, formulation, solution techniques, and also extend it to network optimization

  • ISyE 3133: Engineering Optimization, Georgia Institute of Technology, Summer 2016, Spring 2023

    •  Introduce linear and integer programming, explain modeling techniques and basic principles and demonstrate practical applications

Graduate Courses:

• ISyE 6661: Linear Optimization, Georgia Institute of Technology, Fall 2022

  • Introduces theoretical linear optimization including modeling, formulation, and solution techniques

  • Introduces network optimization, complexity, and advanced algorithms

• ISyE 8813: Stochastic Programming, Georgia Institute of Technology, Fall 2023

  • Introduces the fundamental theory and algorithmic aspects of large-scale stochastic optimization, risk-averse optimization, distributionally robust optimization 

• ISE 5104: Operations Research, Virginia Tech, Fall 2020

  • Introduce linear optimization including modeling, formulation, solution techniques, and also extend it to network optimization, integer optimization, nonlinear programming, and dynamic programming

• ISE 5405: Optimization I, Virginia Tech, Fall 2021

  • Introduces theoretical linear optimization including modeling, formulation, and solution techniques

  • Introduces network optimization, integer optimization modeling, formulation, and solution algorithms

• ISE 5984: Data Analytics and Stochastic Optimization, Virginia Tech, Spring 2019, Spring 2022 [Lecture Notes]

  • Introduce the fundamental theory and algorithmic aspects of large-scale stochastic optimization and machine learning, and their applications to address optimization problems for large-scale (e.g., high dimensional, massive) datasets

  • It covers Gradient Descent, ODE Interpretation of Gradient Descent, Frank-Wolfe, Level Method, Large Deviation, SAA, DRO=Coherent Risk, Chance Constraint

  • The notes are now under construction if you would like to have access to the notes. Please email me.

• ISE 6414: Integer Programming, Virginia Tech, Spring 2022 (Prepared)

  •  Introduce polyhedral theory, cutting plane, complexity theory, matriod, submodularity, and modern concepts of integer programming

• ISE 6514: Advanced Math Program, Virginia Tech, Fall 2017, Fall 2018, Spring 2021 [Lecture Notes]

  • Introduce linear optimization, conic program and stochastic program and their applications to transportation network design, finance, machine learning

  • It covers LP, Benders Decomposition, Dantzig Wolfe = Lagrangian Relaxation, Conic Duality, Conic Representation, S-Lemma, SDPs, Robust Optimization

  • The notes are now under construction if you would like to have access to the notes. Please email me.

Others:

• BEE/TechGirls/C-Tech^2 Summer Program: [slides], [excel template], Virginia Tech, Summer 2019, Summer 2020, Summer 2022

• Mission Possible Summer Program: [slides], [excel template], Georgia Tech, Summer 2023

• iExperience Summer Program: [slides], [excel template], Georgia Tech, Summer 2024

• Interdiction Game

Teaching Assistant

• • ISyE 6673: Financial Optimization, Georgia Institute of Technology, Fall 2014

  • ISyE 2027: Probability With Applications, Georgia Institute of Technology, Summer 2014

  • ISyE 3232: Stochastic Manufacturing & Service System, Georgia Institute of Technology, Spring 2014

  • ISyE 3133: Engineering Optimization, Georgia Institute of Technology, Fall 2013