Teaching & Mentorship

Courses and research supervision in AI, robotics, graphics, and multimodal systems.

At UW Tacoma, I teach courses that connect core computer science foundations with current advances in AI, robotics, computer graphics, and multimodal systems. My teaching emphasizes technical depth, hands-on implementation, empirical evaluation, reproducible experimentation, and open-ended project work.

I develop and refine my courses through student feedback, peer input, curriculum-level review, and faculty development activities, including the Student Experience Project and Teaching@UW.

Current UW students across Seattle, Tacoma, and Bothell can enroll through UW cross-campus registration, subject to course capacity, prerequisites, registration periods, and home-campus requirements. Undergraduate students must satisfy UW home-campus credit and registration-period requirements for cross-campus registration; graduate students have no cross-campus registration restrictions.

Official course descriptions are available through the UW Course Descriptions.

Current UW Courses

Foundations & AI

TCSS 455

Introduction to Machine Learning

Machine learning foundations, model evaluation, and practice.

TCSS 543

Advanced Algorithms

Algorithm design, analysis, complexity, and problem solving.

Robotics & Visual Computing

TCSS 437

Mobile Robotics

Robot perception, localization, planning, control, and embodied AI.

TCSS 458

Computer Graphics

Rendering, geometry, image synthesis, and visual computing.

Multimodal AI

TCSS 590

Special Topics: Vision-Language Models and Multimodal AI

Vision-language modeling and multimodal foundation models.

Selected special topics may vary by quarter. Students should consult the UW Time Schedule for official registration information.

Student Research & Supervision

I also mentor undergraduate and M.S. students through the Multimodal Intelligence Lab (MILab), independent study, supervised research, thesis projects, and capstone projects. My mentoring philosophy emphasizes rigorous scientific thinking, reproducible research, technical communication, collaborative problem solving, and the development of deployable AI systems with real-world impact.

Current UW students across Seattle, Tacoma, and Bothell can pursue research credit through the appropriate TCSS pathway, such as TCSS 499, TCSS 600, TCSS 700, or TCSS 702, depending on student level, project type, and degree requirements. Students interested in research supervision should contact me before registration to discuss research fit, project scope, supervision capacity, expected deliverables, quarter timeline, and credit pathway. Individualized research credits require instructor approval and may require a faculty number or departmental registration support.

Research Supervision Pathways

TCSS 499