Kuo-Wei Lai

A PhD Student in the School of Electrical and Computer Engineering (ECE) at Georgia Institute of Technology

Email: klai36ļ¼ gatech.edu
Office: Coda 11th Floor S1125J

About Me

Hello, my name is Kuo-Wei, and I am currently a third-year PhD student in the Department of Electrical and Computer Engineering (ECE) at Georgia Tech. I have the privilege of being advised by Prof. Vidya Muthukumar. Prior to joining Georgia Tech, I worked as a Research Assistant in the Department of Biomedical Engineering at Johns Hopkins University (JHU), under the guidance of Prof. Jeremias Sulam. At JHU, I earned my Master's degree in Robotics after completing my Bachelor's degree in the Department of Mechanical Engineering at National Taiwan University (NTU).

My research interests revolve around optimization problems within the fields of Machine Learning and Deep Learning. Lately, my focus has been particularly drawn to Implicit Bias and Out-of-Distribution (OOD) topics within learning theories.


  • April 2023: I am honored to receive the 2023 Outstanding ECE Graduate Teaching Assistant Award.



  • Kuo-Wei Lai and Vidya Muthukumar: General loss functions lead to (approximate) interpolation in high dimensions. arXiv preprint [link].

Conference Papers

  • Kuo-Wei Lai, Manisha Aggarwal, Peter van Zijl, Xu Li and Jeremias Sulam: Learned proximal networks for quantitative susceptibility mapping. MICCAI 2020 [link] [github].

Journal Articles

  • Zhenghan Fang, Kuo-Wei Lai, Peter van Zijl., Xu Li and Jeremias Sulam: DeepSTI: Towards tensor reconstruction using fewer orientations in susceptibility tensor imaging. Medical image analysis [link].