Skip to main content
Skip to main menu

Slideshow

Jaewoo Lee

Blurred image of the arch used as background for stylistic purposes.
Assistant Professor, Department of Computer Science

I am an assistant professor in the computer science department at the University of Georgia. Before joining UGA, I was a postdoctoral research associate working in Prof. Daniel Kifer's machine learning lab at PennState University. I received my Ph.D. in computer science in 2014 from Purdue University, where I studied privacy-preserving data analysis techniques under the supervision of Prof. Chris Clifton. Before joining Purdue, I was a member of the database group at Yonsei university where I obtained my master's and bachelor's degrees in Computer Science. During my master's study, I did research on developing efficient stream mining algorithms for high-dimensional data streams under the supervision of Prof. Won Suk Lee.

Education:

PhD, Computer Science, Purdue University 2014

MSc, Computer Science, Yonesi University

BSc, Computer Science, Yonesi University

Research Interests:

My research interests lie at the intersections of data mining, machine learning, data privacy, and security. My primary interest is on data privacy --- providing strong privacy guarantees while making accurate computations on sensitive datasets possible. I work on developing new methodologies for performing machine learning and data mining tasks on sensitive data. The research topics of my interests are listed below, but not limited to:

  • Data privacy
  • Machine learning
  • Convex optimization
  • Security analytics
Selected Publications:
Of note:

I am looking for hard-working and self-motivated graduate students. If you are interested in machine learning or data privacy research, please contact me with your CV.

Support us

We appreciate your financial support. Your gift is important to us and helps support critical opportunities for students and faculty alike, including lectures, travel support, and any number of educational events that augment the classroom experience. Click here to learn more about giving.

Every dollar given has a direct impact upon our students and faculty.