Teaching
Mechanical and Industrial Engineering, Northeastern University
IE 7275: Data Mining in Engineering, F16, S18, F18, F20, F21, F22, S23, F23 (Evaluation 5.0/5.0), S24
The learning goal is to understand and solve classification, clustering, recommendation, and feature selection problems.
Python is majorly used in this course.
IE 5400: Healthcare Systems Modeling and Analysis, S17, F17, S19, S20, S21, S22, S23 (Evaluation 5.0/5.0), S24
The learning goal is to understand and solve healthcare operations problems using data analytics, optimization modeling, and simulation techniques.
Excel Solver, Python, Gurobi, and Arena are optionally used for course projects including, but not limited to:
Predictive and descriptive analytics for critical care operations
ED volume forecasting and ED patient flow simulation
EMS resource allocation
Facility utilization optimization in radiology department
IE Dialogue Program: Systems thinking for Advanced Delivery Systems in Chinese Environment, 2019 (Evaluation = 4.65/5)
MIE Summer Master Class Series
From Data to Decision: How it works?, 2020
Computational Optimization for Data Analytics, 2021
The lecture slides and code are available.
Systems Science & Industrial Engineering, Binghamton University, SUNY
SSIE 637: Advanced Topics in Healthcare (Healthcare Analytics and Decision Models), S13, F14, F15
SSIE 520: Modeling and Simulation, S14, S15, S16
ISE 421: Modeling and Simulation, F13, F14, F15
SSIE 505: Applied Probability & Statistics, F12
Industrial & Systems Engineering, Rutgers University (Instructor/Teaching Assistant)
ISE 16:540:213: Industrial Engineering Lab (instructed the class with a full responsibility)
ISE 16:540:311: Deterministic Models in Operations Research
ISE 16:540:399: Design of Engineering System I