I am a Ph.D. student in the Computer Science Department at North Carolina State
University studying artificial intelligence. I graduated from Eastern Washington University
with a B.S in Computer Science and a focus in parallel and cloud computing.
My research interests broadly cover fairness and accountability in machine learning,
multimodal learning analytics, as well as AI tools for education. I am particularly interested
in the design of tools for educators that provide adaptive support in collaborative learning
environments.
Education
Ph.D., Computer Science (currently enrolled)
North Carolina State University
B.S., Computer Science (2019)
Eastern Washington University
Publications
Henderson, Nathan, Halim Acosta, Wookhee Min, Bradford Mott, Trudi Lord, Frieda
Reichsman, Chad Dorsey, Eric Wiebe, and James Lester. “Enhancing Stealth Assessment
in Game-Based Learning Environments with Generative Zero-Shot Learning.” (2022). [pdf]
Halim Acosta, Nathan Henderson, Jonathan Rowe, Wookhee Min, James Minogue, and
James Lester. 2021. What’s Fair is Fair: Detecting and Mitigating Encoded Bias in
Multimodal Models of Museum Visitor Attention. In Proceedings of the 2021 International
Conference on Multimodal Interaction (ICMI ’21). Association for Computing Machinery,
New York, NY, USA, 258–267. [pdf]
Larrick, Gregory, Yun Tian, Uri Rogers, Halim Acosta, and Fangyang Shen. “Interactive
visualization of 3d terrain data stored in the cloud.” In 2020 11th IEEE Annual Ubiquitous
Computing, Electronics & Mobile Communication Conference (UEMCON), pp. 0063-0070.
IEEE, 2020. [pdf]