Polo Chau

Associate Professor
Research Areas: 
Data mining, human-computer interaction, cybersecurity, visualization, machine learning, deep learning

Duen Horng (Polo) Chau is an Assistant Professor at Georgia Tech, in the School of Computational Science and Engineering. He co-directs the MS Analytics program.   

His research bridges data mining and human-computer interaction (HCI) to create scalable interactive tools for making sense of massive datasets and solving real world problems. His Ph.D. in Machine Learning from Carnegie Mellon University won CMU's Computer Science Dissertation Award, Honorable Mention.   

He received faculty awards from Google, Yahoo, LexisNexis; Raytheon Faculty Fellowship; Edenfield Faculty Fellowship; Outstanding Junior Faculty Award; Symantec fellowship (twice); Best Student Paper Awards at SDM’14 and KDD’16 (runner-up). He published over 100 refereed articles.    He is a steering committee member of ACM IUI conference, IUI’15 co-chair, and IUI’19 program co-chair.   

His research led to deployed technologies by Facebook, Symantec (protects 120M people from malware), and Atlanta Fire Rescue Department; he holds 3 patents. His security and fraud detection research made headlines.