UTM Computer Science students present at the Microsoft Headquarters
On August 28th, several upper-year computer science students presented at the Microsoft Headquarters as a part of a project showcase for Prof. Rutwa Engineer's offering of CSC392/CSC492: Building Real World AI/ML Software Systems Solutions.
Group 1: Identities for AI (Group members: Stephen Le, Babur Nawyan, Ahmed Mohamed, Mark Noge, Zayd Shams Naqvi, and Sani Suljanovic).
The AI for Identities group developed a method to identify LLM models using only their responses to promote transparency in the LLM development space.
Group 2: Computer Architecture and Organization, AI-powered learning platform (Group members: Abigail Yanku, Haris Faisal, Zi Qing Xiong, Richard Wei, and Eric Xia)
Instructli (https://www.instructli.app/) is an AI learning platform designed for Computer Architecture and Organization courses, specifically for understanding a single-cycled and pipelined processor.
Group 3: AutoDocs (Group members: Dan Nguygen, Kush Surendrakumar Patel, Muneeb ur Rehman, Qi Wen Wei, and Shiqi Tian)
AutoDocs aims to intelligently annotate user terminal interactions live by converting them into a tree where nodes correspond to goals/sub-goals, and have an annotation. By representing a user's terminal interactions in a hierarchical tree structure, the user's original goal can be preserved.
Group 4: OurPATHS (Group members: Omar El Malak, Vaidik Patel, Lujain Radwan, Mahdi Alani, and Usha Sophea Janardhan)
OurPATHS (Observational, Usable & Real-Time Predictive Analytics Toolkit for Healthcare Strategy) was in collaboration with Prof. Dennis Fernandes from the Department of Chemical and Physical Sciences at UTM. OurPATHS is a pharmaceutical market access tool that combines a dashboard with a conversational chatbot assistant powered by RAG. The platform reduces information retrieval times from hours of manual work to seconds, making market access more efficient and less error-prone.
Group 5: Exploring traces of Vibe Coding Practices in Computer Science Education Literature (Group members: Aarav Pradhan, Julius Henriques, Sissy Pan)
This group's research aimed to define vibe coding in how students and educators understand this phenomenon by conducting a systematic literature.
Group 6: Comparing Topics Taught in Year 1-2 AI Courses with Skills Desired in Internships (Group members: Michael Chininea, Aidan McKiernan, Dora Onuorah; Supervisor: Prof. Lisa Zhang)
This project compares the topics taught in first- and second-year AI courses with the skills employers are looking for in AI internships, in a Canadian context.
