> For the complete documentation index, see [llms.txt](https://x.ancorasir.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://x.ancorasir.com/bionicdl/teaching.md). # Teaching ## Mohamed bin Zayed University of Artificial Intelligence ### \[2026 Autumn] ROB7103/8103 Embodied AI Systems (Lead Instructor in Charge of Course Development) * Autumn 2026. ### Other Courses Involved #### \[ROB803] Advanced Humanoid Robots (Co-Instructor for the 2nd half of the semester, with Prof. Yoshihiro Nakamura as the Lead Instructor) * Spring 2026. #### \[AI7101] Machine Learning with Python (Co-Instructor for 1 week, with Prof. Yoshihiro Nakamura as the Lead Instructor) * Spring 2026. ## Southern University of Science and Technology ### Teaching Highlights ### [\[ME303\] Introduction to Mechanical Design](https://me311.ancorasir.com/) (Updated to ME311 Mechanical Design in 2023) (Lead Instructor in Charge of Course Development) * Autumn 2023, Enrollment: 55 (ME311, 16 Weeks, 48 Lecture Hours, 3 Credit Units) * Autumn 2022, Enrollment: 27 (16 Weeks, 64 Lecture Hours, 3 Credit Units) * Autumn 2021, Enrollment: 28 (16 Weeks, 64 Lecture Hours, 3 Credit Units) * Autumn 2020, Enrollment: 68 (16 Weeks, 96 Lecture Hours, 3 Credit Units) * Autumn 2019, Enrollment: 38 (16 Weeks, 64 Lecture Hours, 3 Credit Units) * Autumn 2018, Enrollment: 22 (16 Weeks, 48 Lecture Hours, 3 Credit Units) ### [\[ME336\] Collaborative Robot Learning](https://me336.ancorasir.com/) (Lead Instructor in Charge of Course Development) * Spring 2023, Enrollment: 44 (16 Weeks, 60 Lecture Hours, 3 Credit Units) * Spring 2022, Enrollment: 35 (16 Weeks, 60 Lecture Hours, 3 Credit Units) * Spring 2021, Enrollment: 34 (16 Weeks, 60 Lecture Hours, 3 Credit Units) * Spring 2020, Enrollment: 8 (16 Weeks, 64 Lecture Hours, 3 Credit Units) * Spring 2019, Enrollment: 9 (16 Weeks, 60 Lecture Hours, 3 Credit Units) ### \[ME491] Engineering Practice (Lead Instructor in Charge of Course Development) * Spring 2023, Enrollment: 1 (ME491), 6 (ME492), 4 (ME493), 6 (ME494), 6 (ME495) * Spring 2022, Enrollment: 1 (ME491), 8 (ME492), 4 (ME493), 6 (ME494), 6 (ME495) * Autumn 2021, Enrollment: 1 (ME492) * Spring 2021, Enrollment: 1 (ME492), 5 (ME493), 3 (ME494), 6 (ME495), 2 (Others) * Autumn 2020, Enrollment: 10 (ME492) * Summer 2020, Enrollment: 2 (ME494) * Summer 2019, Enrollment: 1 ### Other Courses Involved #### Innovation Project for Undergraduate Students * Spring 2020, Enrollment: 8 #### \[COE492] Capstone Project (Equivalent to Undergraduate Thesis) * Autumn 2023, Enrollment: 3 (Two Semesters at Year 4) * Autumn 2022, Enrollment: 5 (Two Semesters at Year 4) * Autumn 2021, Enrollment: 5 (Two Semesters at Year 4) * Autumn 2020, Enrollment: 6 (Two Semesters at Year 4) * Autumn 2019, Enrollment: 5 (Two Semesters at Year 4) #### \[COE100] Introduction to Engineering * Spring 2023, Enrollment: 38 (1 Lecture) ## Monash University ### Teaching Highlights ### [\[ENG5002/6002\] Engineering Entrepreneurship](https://ancorasir.com/?page_id=567) (Lead Instructor in Charge of Course Development, with [Prof. Terry Turney](https://scholar.google.com.au/citations?user=4YAmvcgAAAAJ\&hl=en) as Co-Instructor) * Autumn 2017, Enrollment: 330 (12 Weeks, 36 Lecture Hours, 3 Credit Units) * Autumn 2016, Enrollment: 120 (12 Weeks, 36 Lecture Hours, 3 Credit Units) ### Other Courses Involved #### \[MEC3458] Experimental Project (With [Prof. Sunita Chauhan](https://scholar.google.com/citations?user=ZKTBOwYAAAAJ\&hl=en)) * Autumn 2016 #### \[MEC5882] Instrumentation, Sensing and Monitoring (With [Prof. Sunita Chauhan](https://scholar.google.com/citations?user=ZKTBOwYAAAAJ\&hl=en)) * Spring 2016 --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://x.ancorasir.com/bionicdl/teaching.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.