Teaching is a passion of mine and is one of the key reasons I chose to work in academia. I consistently endeavor to create a supportive, active, practical, and diverse environment for all students.
Teaching Experiences
IOE 366: Introduction to Engineering Data Analytics, Fall 2022, University of Michigan.
Level: Undergraduate.
Class size: 91 students.
Evaluation: mean 4.5/5, median 5/5.
IE 7275: Data Mining in Engineering, Spring 2024, Northeastern University.
Level: Graduate.
Class size: 42 students.
Evaluation: mean 4.6/5, median 5/5.
IE 4510: Simulation Modeling and Analysis, Fall, 2024, Northeastern University.
Level: Undergraduate.
Class size: 23 students.
Evaluation: mean 4.4/5, median 4.5/5.
Other Terms: Spring, 2025 (TBA), Fall, 2025 (TBA).
Comments from Students
Always willing to help during and outside of class. Answer questions rapidly on Microsoft Teams.
The professor is a simple and a humble person. He knew what he had to teach from the beginning and he came prepared for the lectures. He graded everyone fairly and was approachable.
The instructor was prepared extremely well for the topic at hand. I was able to grasp more information from him than from most others.
I loved everything about this course, and Professor Yue did a great job teaching us.Â
Xubo does an excellent job at restructuring the class around feedback and learning from the students to improve this class.
In terms of facilitating inclusive learning, This class really has been very good. Xubo constantly asks for input, feedback, an gives Students choices when possible when it comes to tooling and projects, allowing this class to also be as effective as the students want to make it.
Professor Yue was a phenomenal professor who gave us al the resources to succeed.