Selected Peer-Reviewed Full Conference or Journal Publications: 'Exploring Object Status Recognition for Recipe Progress Tracking in Non-Visual Cooking' (ASSETS 2025); 'More than One Step at a Time: Designing Procedural Feedback for Non-visual Makeup Routines' (ASSETS 2025); 'VizXpress: Towards Expressive Visual Content by Blind Creators Through AI Support' (ASSETS 2025); 'Understanding How Visually Impaired Players Socialize in Mobile Games' (ASSETS 2025); 'Understanding the Video Content Creation Journey of Creators with Sensory Impairment in Kenya' (ASSETS 2025). Awards: Stuart K. Card Fellowship (Feb 2025).
Research Experience
Sep 2025, Co-organized 'Accessible Cyber-Physical Activities' Workshop at UIST 2025; Aug 2025, Starting as a Co-Instructor for 05332/632 Accessibility and Assistive Technology; Aug 2025, 4 Invited Talks at Google Research; Jul 2025, 5 papers accepted at ASSETS 2025, 1 paper accepted at UIST 2025, 1 paper accepted at CSCW 2025; May 2025, Starting as Research Intern at Google in NYC; Apr 2025, Traveling to CHI 2025 (Yokohama, Japan); Feb 2025, Received Stuart K. Card Fellowship; Jan 2025, Three papers accepted to CHI 2025; Oct 2024, Attending ASSETS 2024 (St John's, Canada); Oct 2024, Attending UIST 2024 (Pittsburgh, USA); Jun 2024, Traveling to HCIC 2024 (Wisconsin, USA); May 2024, Traveling to CHI 2024 (Hawaii, USA); Jan 2024, Four papers accepted to CHI 2024; Oct 2023, Invited Talk at University of Notre Dame (Topic: Building Usable Systems for People with Disabilities in Physical Activities); Oct 2023, Traveling to Ubicomp 2023 (Cancun, Mexico); Jul 2023, One paper and one poster got accepted to ASSETS 2023; Apr 2023, Traveling to CHI 2023 (Hamburg, Germany); Mar 2023, Invited Talk at APEX Lab, HKUST (Topic: Leveraging AI for Accessibility in Physical Space); Feb 2023, Invited Talk at DGP, University of Toronto (Topic: Leveraging AI for Accessibility in Physical Space); Feb 2023, Two papers accepted to CHI 2023; Aug 2022, Google's Research Collabs got accepted!
Education
PhD: Human-Computer Interaction Institute, Carnegie Mellon University, Advisor: Prof. Patrick A. Carrington; MSc: Department of Computer Science, University of Toronto, Advisor: Prof. Khai N. Truong; BEng: Electrical Engineering, University of Toronto.
Background
Research Interests: Human-Computer Interaction (HCI), Assistive Technology, and Ubiquitous Computing (UbiComp). Background: Franklin Mingzhe Li is a PhD candidate at the Human-Computer Interaction Institute at Carnegie Mellon University, advised by Prof. Patrick A. Carrington. His research focuses on exploring, designing, and deploying assistive technologies to support people with disabilities in physical space and activities of daily living. His dissertation aims to support and enable non-visual cooking for people with vision impairments through AI and assistive technologies.
Miscellany
On the academic and industry job market this year!