Assistant Professor
Computer Science

1148 Kelley Engineering Center
Corvallis, OR 97331-5501
Phone: 
(541) 737-3617
Fax: 
(541) 737-1300
E-mail: 
 

Education

  • Ph.D. in Computer Science, Georgia Institute of Technology, Atlanta, GA, 2019
  • M.S. in Computer Science and Engineering, Seoul National University, South Korea, 2011
  • B.S. in Electrical and Computer Engineering, Seoul National University, South Korea, 2009

Biography

Minsuk Kahng is an assistant professor of computer science at Oregon State University. His research focuses on human-centered AI, specifically on building novel interactive and visual tools for people to easily explore, interpret, and interact with machine learning systems and large datasets. His work spans multiple areas, including data visualization, data mining, human-computer interaction, databases, and machine learning.

Kahng's research led to deployed systems by Facebook (e.g., on visualization of deep learning models) and open-sourced tools developed with Google Brain (e.g., GAN Lab on deep learning education). His research has been supported by Google, Facebook, and NSF.

Teaching

Research Interests

The goal of my research program is to make AI more accessible and interpretable, or broadly human-centered. To achieve this, my research combines data-driven scalable techniques and human-centered interactive approaches for the design and development of new tools for people to explore and understand machine learning models and large datasets. For example, I am interested in helping non-expert users, including those without CS background, to build machine learning models, by developing usable, intelligent tools for them to interactively create models easily and appropriately. Also, I am interested in assisting data scientists and machine learning practitioners in interpreting and analyzing their machine learning models by visualizing their inner-workings and enabling them to incorporate domain knowledge and feedback into them. Please check out my website (https://minsuk.com) for up-to-date research topics.