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. 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 resume here and my full CV here for more details!

Graduate Teaching Assistant/Course Instructor

First-Year Learning & Engagement, University of Oklahoma
June 2025 - Present

Backend Systems Developer

ScooterLab, University of Texas at San Antonio
Aug 2023 - Present

Graduate Research Assistant

SecretLab, University of Oklahoma
Jan 2022 - Present

Graduate Assistant

Ronnie K. Irani Center for the Creation of Economic Wealth, University of Oklahoma
Aug 2019 - Dec 2019

Graduate Teaching Assistant

Mewbourne College of Earth and Energy, University of Oklahoma
Jan 2018 - Dec 2019

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." To appear at the 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."
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."
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."
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"