Polo Chau

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

Duen Horng (Polo) Chau is an Associate Professor of Computing at Georgia Tech. He co-directs Tech's Analytics MS program.

His research bridges data mining and human-computer interaction (HCI) to synthesize 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 awards and grants from Intel, Google, Yahoo, eBay, Microsoft, Amazon, LexisNexis; Raytheon Faculty Fellowship; Edenfield Faculty Fellowship; Outstanding Junior Faculty Award; Symantec fellowship (twice); Best student papers at SDM'14 and KDD'16 (runner-up); Best demo at SIGMOD'17 (runner-up). His students received fellowships from NSF, NASA, Google, IBM, and Symantec.

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

He is a steering committee member of ACM IUI conference, IUI’15 co-chair, and IUI’19 program co-chair.



GVU Center
Institute for Data Engineering and Science (IDEaS)
Institute for Information Security and Privacy (IISP)
Institute for People and Technology (IPaT)
Machine Learning (ML@GT)