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 to Now, Northeastern University.
Level: Undergraduate.
Class size: 20-40 students.
Evaluation (aggregated): mean 4.5/5, median 5/5.
Comments from Students
Always willing to help during and outside of class. Answer questions rapidly on Microsoft Teams (2024).
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 (2024).
The instructor was prepared extremely well for the topic at hand. I was able to grasp more information from him than from most others (2024).
I loved everything about this course, and Professor Yue did a great job teaching us (2025).
Xubo does an excellent job at restructuring the class around feedback and learning from the students to improve this class (2025).
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 (2025).
Professor Yue was a phenomenal professor who gave us al the resources to succeed (2025).
The instructor was very passionate and knowledgeable on the topics taught in class. He was very prepared for each lecture and the labs were very helpful in collaborating and learning concepts (2026).
Professor Yue is well prepared for every class. He is really kind and always open to receive any kind of feedback from us. And I am really appreciated that he was able to bringing us the most cutting–edge knowledge about AI. Although some of them are even difficult for PhD level student, Professor Yue will still try to introduce these contents to us in a way that we can understand (2026).
Very interesting class and you can tell the instructor was very knowledgable about the content as well (2026).
Prof Yue is a great teacher! He shows a lot of enthusiasm for the class and is really good at explaining simulation concepts with real world examples so they are easy to understand. You can tell that he cares a lot about his students and wants them to learn the course material (2026).
The course covered a lot of different simulation types which were beneficial to know about. The instructor was very good at breaking down complex concepts into simple terms using analogies (2026).