Khoi Trinh

PhD Candidate in Data Science and Analytics
University of Oklahoma

Bio

I am currently a PhD Candidate in Data Science and Analytics at the University of Oklahoma, working under the supervision of Dr. Anindya Maiti—Director of SecretLab. My research focuses on using data science to promote the equitable integration of generative AI tools into human-centered workflows. I also examine the impact of AI-generated art on popular online art platforms, with a focus on copyright and ownership concerns. Beyond this, I contribute to two Ethereum Foundation-funded projects that explore security analysis within the Web3 ecosystem.

Alongside my research, I serve as a Graduate Teaching Assistant and Instructor for First-Year Learning & Engagement, where I help develop the curriculum and teach a section of the Foundations: Academic Support Math course.

In addition to my academic roles, I am the Backend Systems Developer for ScooterLab, a National Science Foundation (NSF) funded community research infrastructure initiative currently being developed at the University of Texas at San Antonio (UTSA).

For more details, see the Experience and Publications sections.

If you have any questions, please don't hesitate to reach out to me via email at khoitrinh@ou.edu or through LinkedIn!

Work Experience

See my full CV here for more details!

Graduate Teaching Assistant / Course Instructor
June 2025 – Present
First-Year Learning & Engagement, University of Oklahoma
Backend Systems Developer
Aug 2023 – Present
ScooterLab, University of Texas at San Antonio
Graduate Research Assistant
Jan 2022 – Present
SecretLab, University of Oklahoma
Graduate Assistant
Aug 2019 – Dec 2019
Ronnie K. Irani Center for the Creation of Economic Wealth, University of Oklahoma
Graduate Teaching Assistant
Jan 2018 – Dec 2019
Mewbourne College of Earth and Energy, University of Oklahoma

Research

Published Works

Khoi Trinh, Scott Seidenberger, Joseph Spracklen, Raveen Wijewickrama, Bimal Viswanath, Murtuza Jadliwala, Anindya Maiti.
“Prompt and Circumstances: Evaluating the Efficacy of Human Prompt Inference in AI-Generated Art.”
PaperSlides
International Conference on Artificial Intelligence in Music, Sound, Art and Design (EvoMUSART) — Toulouse, France 2026
Khoi Trinh, Scott Seidenberger, Raveen Wijewickrama, Murtuza Jadliwala, Anindya Maiti.
“A Picture is Worth a Thousand Prompts? Efficacy of Iterative Human-Driven Prompt Refinement in Image Regeneration Tasks.”
PaperSlides
International Joint Conference on Artificial Intelligence (IJCAI) — AI, Arts & Creativity Track; Montreal, Canada 2025
Ubaidullah Khan, Raveen Wijewickrama, Buddhi Ashan M.K., A.H.M. Nazmus Sakib, Khoi Trinh, et al.
“ScooterLab: A Programmable and Participatory Sensing Testbed using Micromobility Vehicles.”
PaperPoster
International Conference on Pervasive Computing and Communications (PerCom) — Demo Session; Washington, DC, USA 2025
Khoi Trinh, Rouzbeh Moghanloo.
“Economic Feasibility Study of Several Utilization Alternatives for a Stranded Offshore Gas Reservoir.”
PaperSlides
Offshore Technology Conference (OTC) — Houston, TX, USA 2020

Other arXiv Preprints & Works Under Revision

Khoi Trinh, Scott Seidenberger, Joseph Spracklen, Raveen Wijewickrama, Bimal Viswanath, Murtuza Jadliwala, Anindya Maiti.
“Promptly Yours? A Human Subject Study on Prompt Inference in AI-Generated Art”
Paper