Divya Ramesh
Assistant Professor of Human Computer Interaction
Research Interests
Professor Ramesh's teaching and research interests span human-computer interaction, applied AI, science and technology studies, and public policy.
Email
Prior to joining MBZUAI, Professor Ramesh was an Assistant Professor of Human-Centered Computing at the University of North Carolina (UNC) at Charlotte. Professor Ramesh was also a Mirzayan Science and Technology Policy Fellow at the National Academies of Sciences, Engineering and Medicine. She obtained her Ph.D. in Computer Science from the University of Michigan, Ann Arbor. Professor Ramesh has spent research stints at Google Research and Microsoft Research, and was a deep learning engineer/R & D lead at a California-based computer vision startup called CloudSight Inc.
- Ph.D. in Computer Science, University of Michigan – Ann Arbor, USA
- Graduate Certificate, Science, Technology, and Public Policy, University of Michigan – Ann Arbor, USA
- M.Sc. in Electrical Engineering, University of Southern California, USA
- B.Eng. in Electronics and Communication, Ramaiah Institute of Technology, India
- Mozilla Responsible Computing Challenge Award (Co – PI), 2026
- NASEM Christine Mirzayan Science and Technology Policy Fellow, 2025
- Barbour Scholar of the University of Michigan, 2024
- Consortium of the Science of Sociotechnical Systems Scholar, 2024
- Quad Fellow, 2023
- Pragnesh Jay Modi Paper Award, AAMAS 2020
- Patent: Ramesh, D. and Folkens, B., CloudSight Inc, 2020. Content based image management and selection. U.S. Patent 10,831,820
- Divya Ramesh, Shobita Parthasarathy, and Nikola Banovic: "The Paradox of 'Algorithmic' Accountability and its Implications for Design", ACM FAccT, 2026.
- Madison Cutler, Molly Kleinman, Marita Ky, Yvonne Navarrete, Kaci Pellar, Divya Ramesh, Eric Welsby, and Erin Keith: "Community partnerships playbook: how to create equitable partnerships between technical and community experts", 2024.
- Kori Inkpen, Shreya Chappidi, Keri Mallari, Besmira Nushi, Divya Ramesh, Pietro Michelucci, Vani Mandava, Libuse Vepřek and Gabrielle Quinn: "Advancing Human-AI Complementarity: The Impact of User Expertise and Algorithmic Tuning on Joint Decision Making", ACM TOCHI, 2023.
- Divya Ramesh, Caitlin Henning, Nel Escher, Haiyi Zhu, Min Kyung Lee, and Nikola Banovic: "Ludification as a Lens for Algorithmic Management: A Case Study of Gig Workers' Experiences of Ambiguity in Instacart Work", in DIS, 2023.
- Divya Ramesh, Vaishnav Kameswaran, Ding Wang, and Nithya Sambasivan: "How Platform-User Power Relations Shape Algorithmic Accountability: A Case Study of Instant Loan Platforms and Financially Stressed Users in India", in FAccT 2022.