Welcome to Our Lab

Dr. Jun (Luke) Huan is a Professor in the Department of Electrical Engineering and Computer Science at the University of Kansas. He directs the Data Science and Computational Life Sciences Laboratory at KU Information and Telecommunication Technology Center (ITTC). He holds courtesy appointments at the KU Bioinformatics Center, the KU Bioengineering Program, and a visiting professorship from GlaxoSmithKline plc.. Dr. Huan received his Ph.D. in Computer Science from the University of North Carolina.

Dr. Huan works on data science, machine learning, data mining, big data, and interdisciplinary topics including bioinformatics. He has published more than 100 peer-reviewed papers in leading conferences and journals and has graduated more than ten graduate students including seven PhDs. Dr. Huan serves the editorial board of several international journals including the Springer Journal of Big Data, Elsevier Journal of Big Data Research, and the International Journal of Data Mining and Bioinformatics. He regularly serves the program committee of top-tier international conferences on machine learning, data mining, big data, and bioinformatics.

Dr. Huan's research is recognized internationally. He was a recipient of the prestigious National Science Foundation Faculty Early Career Development Award in 2009. His group won the Best Student Paper Award at the IEEE International Conference on Data Mining in 2011 and the Best Paper Award (runner-up) at the ACM International Conference on Information and Knowledge Management in 2009. His work appeared at mass media including Science Daily, R&D magazine, and EurekAlert (sponsored by AAAS). Dr. Huan's research was supported by NSF, NIH, DoD, and the University of Kansas.

Starting January 2016, Dr. Huan serves as a Program Director in NSF/CISE/IIS and is on leave from KU.

Latest News

6/1/17 We are giving a KDD tutorial on Safe Data Science. See tutorial website for details.

5/16/17 We have one TKDE and two KDD papers accepted this year. Congratualtions to Chao, Xiaoli, and Joe.