Georgia Tech, College of Computing
Polo CHAU
Legal name:
Duen Horng Chau
Associate Director, MS in Analytics
Assistant Professor, School of Computational Science & Engineering
Adjunct Assistant Professor, School of Interactive Computing
College of Computing
Georgia Tech
pologatech.edu        www.cc.gatech.edu/~dchau
Office: Klaus 1324        404-385-7682
Google Scholar (h-index: 17)        YouTube videos
View Polo Chau's profile on LinkedIn     

Positions

  1. May 2014 - Associate Director
    MS in Analytics, Georgia Tech
  2. Aug 2012 - Assistant Professor
    School of Computational Science & Engineering, Georgia Tech
  3. Dec 2012 - Adjunct Assistant Professor
    School of Interactive Computing, Georgia Tech

Education

  1. Aug 2012
    Ph.D. Machine Learning Carnegie Mellon University
    Thesis: Data Mining Meets HCI: Making Sense of Large Graphs
    Award: Carnegie Mellon SCS Dissertation Award, Honorable Mention
    Committee: Christos Faloutsos, Jason Hong, Niki Kittur, Jiawei Han (UIUC)
    Watch my defense video on YouTube.
  2. May 2010 M.S. Machine Learning Carnegie Mellon University
  3. Aug 2005 Masters of Human-Computer Interaction Carnegie Mellon University
  4. 2004 B.Eng. Information Engineering (Honors) The Chinese Univ. of Hong Kong
    Online Auction Fraud Detection
    Advisor: Prof. Soung-Chang Liew
  5. 2000 Diocesan Boys' School (high school) Hong Kong

Research Interests

My research bridges data mining and human-computer interaction (HCI) to synthesize scalable, interactive tools that help people understand and interact with big data, e.g., massive networks with billions of nodes and edges
I blend techniques from machine learning (Belief Propagation), data mining (anomaly detection), visualization and user interaction. Notable projects:
Apolo: mixed-initiative system (ML+vis) for making sense of large network data (watch a demo); Apolo helps users incrementally find relevant subgraphs to explore, avoids overwhelming the user
Polonium: malware detection using machine learning, over massive graph with 37 billion machine-file relationships; protects 120 million Symantec machines worldwide; patented.
NetProbe: auction fraud detection (eBay) that fingers bad guys by identifying their suspicious transactions;
appeared in Wall Street Journal, USA Today, and more
PEGASUS: award-winning project that creates graph algorithms for massive graph data

Conference Leadership

Co-chair
ACM Intelligent User Interfaces Conference (IUI) 2015
Publicity Chair
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2014
Publicity Chair
IEEE International Conference on Data Mining (ICDM) 2014
Chair
KDD 2014 workshop on Interactive Data Exploration and Analytics (IDEA)
Chair
KDD 2013 workshop on Interactive Data Exploration and Analytics (IDEA)

Awards & Honors

2014
Yahoo Faculty Research and Engagement Program (FREP) Award by Yahoo! Labs. (GT press releases 1 & 2)
2014-15
Raytheon Faculty Fellowship, with Rahul Basole (IC).
2014
SIAM Data Mining (SDM) 2014 Best Student Paper award
2014
LexisNexis Dean's Excellence Award
Fall 2014
Wearable Computing Center Mentoring Grant for CS undergraduate students Nathan Dass and Samuel Clarke
Spring 2014
Advisor of Mr. Zhiyuan (Jerry) Lin, for Sigma Xi Best Undergraduate Research Award.
Fall 2013
Recipient of "Thank-a-Teacher" where students honor great teachers.
2012
Carnegie Mellon School of Computer Science Dissertation Award, Honorable Mention
2010
Open Source Software World Challenge, Silver Award (3rd place), for the PEGASUS project which mines billion-node graphs. U Kang, Duen Horng Chau, Christos Faloutsos
2009 - 2010
Symantec Research Labs Graduate Fellowship, covers full tuition and stipend (in addition to the previous fellowship). Re-selected, as one of the only three graduate students worldwide to receive the award.
2009
Yahoo! Key Scientific Challenges Award, in Information Retrieval, Algorithms, and Data Mining. Awarded as one of the 20 graduate student nationwide, with a gift of $5,000 unrestricted research fund.
2008 - 2009
Symantec Research Labs Graduate Fellowship, covers full tuition and stipend. Selected as one of the only two graduate students to receive the award. Featured on: The Wall Street Journal, MSN Money, CNNMoney.com, The Pittsburgh Tribune-Review, Fox Business, AOL Money & Finance, MSNBC Business.
2008
Winner, Symantec research competition (internal).
2006
Best Presentation Award, 3rd Place, PKDD'06.
2001, 2002, 2003
Dean's List
2002, 2003
Nominated for university scholarships

Industry Positions & Experiences

Summer 2014
eBay, Search Science   San Jose
Visiting Professor
Summer - Fall 2011
Google, Ads Backend Team   Mountain View, CA
Ph.D. Software Engineer Intern   Mentor: Dr. Arun Swami
Fall 2009
Symantec Research Labs   Los Angeles, CA
Ph.D. Research Intern   Mentor: Mr. Carey Nachenberg
Summer 2008
Symantec Research Labs   Los Angeles, CA
Ph.D. Research Intern   Mentor: Mr. Darren Shou
2005 - 2007
Carnegie Mellon University, Human-Computer Interaction Institute   Pittsburgh, PA
Research Associate   Supervisor: Prof. Brad Myers
Summer 2003
The Chinese University of Hong Kong, Lightwave Communications Lab     Hong Kong
Undergraduate Research Assistant
2002 - 2007
Elfware Company   Hong Kong
System Consultant

Teaching

Courses
Data and Visual Analytics. CSE 6242 A, Q, Q3 / CX 4242 A, Fall 2014. Georgia Tech. 120 students (19 UG).
Computing for Data Analytics: Methods and Tools, CSE 6040, Fall 2014. Georgia Tech. Co-taught with Dr. Da Kuang.
Introduction to Computational Science and Engineering. CSE 6001, Fall 2013, Georgia Tech. Co-taught with Rich Vuduc.
Data and Visual Analytics, CSE 6242 A, Q3 / CX 4242 A, Spring 2014. Georgia Tech. 96 students (19 UG).
Data and Visual Analytics, CSE 6242 A / CS 4803 DVA, Spring 2013. Georgia Tech. 35 students.
Tutorials
HCI Meets Data Mining: Principles and Tools for Big Data Analytics. Polo Chau. ACM Conference on Human Factors in Computing Systems (CHI) 2014. Toronto, Canada. April 24-May 1, 2014.
Big Graph Mining for the Web and Social Media. U Kang, Leman Akoglu, Polo Chau. The 7th ACM International Conference on Web Search and Data Mining (WSDM2014). New York City. February 24, 2014.
Big Graph Mining: Algorithms, Anomaly Detection, and Applications. U Kang, Leman Akoglu, Polo Chau. The 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). Niagra Falls, Canada, Aug 25-28, 2013.
PhD Consortium Mentor
IEEE International Conference on Big Data (IEEE BigData 2014)
Guest lectures
Data Mining for Malware Detection and Fraud Detection. Computing and Society (CS 4001). Instructor: Prof. Jimeng Sun. Spring 2014. Georgia Tech.
Web-scale malware detection & fraud detection, and Interactive graph exploration & mining for Massive Graph Analytics (CSE 8803 MGA). Instructor: Prof. David Bader. Fall 2012. Georgia Tech.
Data Warehousing and Data Mining for Database Applications (15-415).
Instructor: Prof. Christos Faloutsos. Spring 2012. Carnegie Mellon University.
Web Search for Science of the Web (15-396).
Instructor: Prof. Luis von Ahn, Brendan Meeder. Fall 2011. Carnegie Mellon University.
Making Sense of Large Networks for Sensemaking: Cognitive, Social, and Technical Perspectives (05-899).
Instructor: Prof. Niki Kittur. Spring 2011. Carnegie Mellon University.
Teaching Assistant
Science of the Web (15-396).
Instructor: Prof. Luis von Ahn, Brendan Meeder. Fall 2011. Carnegie Mellon University.
Multimedia Databases and Data Mining (15-826).
Instructor: Prof. Christos Faloutsos. Spring 2010. Carnegie Mellon University.

Outreach Invited Talks & Tutorials

June 13, 2014
Graph Mining meets Human-Computer Interaction. Polo Chau. DIMACS REU Tutorial. Rutgers University.
Jun 20, 2013
Making sense of big data: combining data mining and visualization Teachers Workshop (CS Principles - Big Ideas), organized by Institute for Computing Education (ICE), a partnership between the Georgia Department of Education and the College of Computing at Georgia Tech.

Publications

Conference
GLO-STIX: Graph-Level Operations for Specifying Techniques and Interactive eXploration. Charles D. Stolper, Minsuk Kahng, Zhiyuan Lin, Florian Foerster, Aakash Goel, John Stasko, and Duen Horng Chau. IEEE InfoVis 2014, November 9-14, Paris, France. [23% acceptance rate]
MMap: Fast Billion-Scale Graph Computation on a PC via Memory Mapping. Zhiyuan Lin, Minsuk Kahng, Kaeser Md. Sabrin, Duen Horng Chau, Ho Lee, and U Kang. Proceedings of IEEE BigData 2014 conference. Oct 27-30, Washington DC, USA.
MAGE: Matching Approximate Patterns in Richly-Attributed Graphs. Robert Pienta, Acar Tamersoy, Hanghang Tong, and Duen Horng Chau. Proceedings of IEEE BigData 2014 conference. Oct 27-30, Washington DC, USA.
Guilt by Association: Large Scale Malware Detection by Mining File-relation Graphs Acar Tamersoy, Kevin Roundy, Duen Horng (Polo) Chau. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2014. New York City, NY, USA. Aug 24-27, 2014.
Turning the Tide: Curbing Deceptive Yelp Behaviors. Mahmudur Rahman, Bogdan Carbunar, Jaime Ballesteros, George Burri, Duen Horng (Polo) Chau. Proceedings of SIAM International Conference on Data Mining (SDM) 2014. April 24-26, 2014. Philadelphia, PA, USA.
Won Best Student Paper award.
"Best of SDM 2014" paper. Invited to Statistical Analysis and Data Mining (SAM) Journal.
LatentGesture: Active User Authentication Through Background Touch Analysis. Premkumar Saravana, Samuel Clarke, Duen Horng Chau, Hongyuan Zha. The Second International Symposium of Chinese CHI (Chinese CHI 2014). Apr 26-27, 2014. Toronto, Canada.
Featured in popular press: engadget, gizmodo, Yahoo!, business chronicle, GT press release, and many more...
Detecting Insider Threats in a Real Corporate Database of Computer Usage Activity. Ted E. Senator, Henry G. Goldberg, Alex Memory, William Y. Young, Brad Rees, Robert Pierce, Daniel Huang, Matthew Reardon, David A. Bader, Edmond Chow, Irfan Essa, Joshua Jones, Vinay Bettadapura, Duen Horng Chau, Oded Gree, Oguz Kaya, Anita Zakrzewska, Erica Briscoe, Rudolph L. Mappus IV, Robert McColl, Lora Weiss, Thomas G. Dietterich, Alan Fern, Weng-Keen Wong, Shubhomoy Das, Andrew Emmott, Jed Irvine, Jay-Yoon Lee, Danai Koutra, Christos Faloutsos, Daniel Corkill, Lisa Friedland, Amanda Gentzel, David Jensen. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2013. Chicago, Illinois, USA. Aug 11-14, 2013.
Inside Insider Trading: Patterns & Discoveries from a Large Scale Exploratory Analysis. Acar Tamersoy, Bo Xie, Stephen L. Lenkey, Bryan R. Routledge. Duen Horng Chau, Shamkant B. Navathe. IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) 2013. Niagara Falls, Canada. August 25-28, 2013.
Invited to Social Network Analysis and Mining journal (SNAM).
Spatio-temporal Mining of Software Adoption & Penetration. Evangelos E. Papalexakis, Tudor Dumitras, Duen Horng (Polo) Chau, B. Aditya Prakash, Christos Faloutsos. IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) 2013. Niagara Falls, Canada. August 25-28, 2013.
Invited to Social Network Analysis and Mining journal (SNAM).
Inference-assisted Choosing by Advantages. John Haymaker, Duen Horng Chau, Bo Xie. 21th Conference of the International Group for Lean Construction (IGLC). Fortaleza, Brazil. Jul 29 - Aug 2, 2013.
Mining Connection Pathways for Marked Nodes in Large Graphs. Leman Akoglu, Jilles Vreeken, Hanghang Tong, Duen Horng Chau, Nikolaj Tatti, and Christos Faloutsos. Proceedings of SIAM International Conference on Data Mining (SDM) 2013. May 2-4, 2013. Austin, Texas. [25% accept]
  1. PEGASUS: Mining Billion-Scale Graphs in the Cloud. U Kang, Duen Horng Chau, and Christos Faloutsos. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2012. Mar 25-30, 2012. Kyoto, Japan
  2. Unifying Guilt-by-Association Approaches: Theorems and Fast Algorithms. Danai Koutra, Tai-You Ke, U Kang, Duen Horng (Polo) Chau, Hsing-Kuo Kenneth Pao, and Christos Faloutsos. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (PKDD) 2011. Sept 5-9, 2011. Athens, Greece. [20% acceptance rate]
  3. Mining Large Graphs: Algorithms, Inference, and Discoveries. U Kang, Duen Horng (Polo) Chau, Christos Faloutsos. IEEE International Conference of Data Engineering (ICDE) 2011. April 11-16. Hannover, Germany. [20% acceptance rate]
  4. Apolo: Making Sense of Large Network Data by Combining Rich User Interaction and Machine Learning. Duen Horng (Polo) Chau, Aniket Kittur, Jason I. Hong, Christos Faloutsos. ACM Conference on Human Factors in Computing Systems (CHI) 2011. May 7-12, 2011. Vancouver, BC, Canada. [26% acceptance rate]
  5. Polonium: Tera-Scale Graph Mining and Inference for Malware Detection. Duen Horng (Polo) Chau, Carey Nachenberg, Jeffrey Wilhelm, Adam Wright, Christos Faloutsos. Proceedings of SIAM International Conference on Data Mining (SDM) 2011. April 28-30, 2011. Mesa, Arizona. [25% acceptance rate]
  6. On the Vulnerability of Large Graphs. Hanghang Tong, B. Aditya Prakash, Charalampos Tsourakakis, Tina Eliassi-Rad, Christos Faloutsos, Duen Horng (Polo) Chau. IEEE International Conference on Data Mining (ICDM) 2010. Dec 14-17, 2010. Sydney, Australia. [19% acceptance rate]
  7. What to Do When Search Fails: Finding Information by Association. Duen Horng (Polo) Chau, Brad Myers, and Andrew Faulring. ACM Conference on Human Factors in Computing Systems (CHI) 2008. April 5-10, 2008. Florence, Italy. New York: ACM Press, Pages 999-1008. [22% acceptance rate]
  8. The eBay Graph: How Do Online Auction Users Interact? Yordanos Beyene, Michalis Faloutsos, Duen Horng (Polo) Chau, Christos Faloutsos. Computer Communications Workshops, 2008. INFOCOM. April 13-18, 2008. Phoenix, AZ.
  9. NetProbe: A Fast and Scalable System for Fraud Detection in Online Auction Networks. Shashank Pandit, Duen Horng (Polo) Chau, Samuel Wang, Christos Faloutsos. International Conference on World Wide Web (WWW) 2007. May 8-12, 2007. Banff, Alberta, Canada. Pages 201-210. [15% acceptance rate]
  10. Eyes on the Road, Hands on the Wheel: Thumb-based Interaction Techniques for Input on Steering Wheels. Ivan E. Gonzalez, Jacob O. Wobbrock, Duen Horng (Polo) Chau, Andrew Faulring, Brad A. Myers. Graphics Interface (GI) 2007. May 28-30, 2007. Montreal, Quebec, Canada. Pages 95-102. [48% acceptance rate]
  11. Demonstrating the Viability of Automatically Generated User Interfaces. Jeffrey Nichols, Duen Horng (Polo) Chau, Brad A. Myers. ACM Conference on Human Factors in Computing Systems (CHI) 2007. April 28-May 3, 2007. San Jose, CA. Pages 1283-1292. [25% acceptance rate]
  12. An Alternative to Push, Press, and Tap-tap-tap: Gesturing on an Isometric Joystick for Mobile Phone Text Entry. Jacob O. Wobbrock, Duen Horng (Polo) Chau and Brad A. Myers. ACM Conference on Human Factors in Computing Systems (CHI) 2007. April 28-May 3, 2007. San Jose, CA. Pages 667-676. [25% acceptance rate]
  13. Huddle: Automatically Generating Interfaces for Systems of Multiple Connected Appliances. Jeffrey Nichols, Brandon Rothrock, Duen Horng (Polo) Chau, Brad A. Myers. ACM Symposium on User Interface Software and Technology (UIST) 2006. October 15-18, 2006. Montreux, Switzerland. Pages 279-288. [23% acceptance rate]
  14. In-stroke Word Completion. Jacob O. Wobbrock, Brad A. Myers, and Duen Horng (Polo) Chau. ACM Symposium on User Interface Software and Technology (UIST) 2006. October 15-18, 2006. Montreux, Switzerland. Pages 333-336. [23% acceptance rate]
  15. Detecting Fraudulent Personalities in Networks of Online Auctioneers. Duen Horng (Polo) Chau, Shashank Pandit, and Christos Faloutsos. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (PKDD) 2006. Sept 18-22, 2006. Berlin, Germany. Pages 103-114. [15% acceptance rate]
    Best Presentation Award, 3rd place
  16. A Linguistic Analysis of How People Describe Software Problems. Andrew J. Ko, Brad A. Myers, and Duen Horng (Polo) Chau. Proceedings of VL/HCC 2006. September 4-8, 2006, Brighton, UK. Pages 127-134. [28% acceptance rate]
  17. Answering Why and Why Not Questions in User Interfaces. Brad Myers, David A. Weitzman, Andrew J. Ko, and Duen Horng (Polo) Chau. ACM Conference on Human Factors in Computing Systems (CHI) 2006. April 22-27, 2006. Montreal, Canada. Pages 397-406. [23% acceptance rate]
Journal
GLO-STIX: Graph-Level Operations for Specifying Techniques and Interactive eXploration. Charles D. Stolper, Minsuk Kahng, Zhiyuan Lin, Florian Foerster, Aakash Goel, John Stasko, and Duen Horng Chau. IEEE Transactions on Visualization and Computer Graphics.
Large Scale Insider Trading Analysis: Patterns and Discoveries. Acar Tamersoy, Elias Khalil, Bo Xie, Stephen L. Lenkey, Bryan R. Routledge. Duen Horng Chau, Shamkant B. Navathe. Social Network Analysis and Mining (SNAM), 4(1), 1-17. 2014.
Edited Volumes
Catching Bad Guys with Graph Mining. Polo Chau. Crossroads: The ACM Magazine for Students - The Fate of Money. Volume 17 Issue 3, Spring 2011. Pages 16-18.
Book Chapters
Case study on fraud detection using social-network analysis. Duen Horng (Polo) Chau and Christos Faloutsos. Encyclopedia of Social Network Analysis and Mining. Springer. 2014.
Workshop
Towards Scalable Graph Computation on Mobile Devices. Yiqi Chen, Zhiyuan Lin, Robert Pienta, Minsuk Kahng, Duen Horng (Polo) Chau. IEEE BigData 2014 Workshop on Scalable Machine Learning: Theory and Applications. Oct 27, 2014. Washington DC, USA.
Bicentric Visualization of Pediatric Asthma Care Process Activities. Rahul C. Basole, Hyunwoo Park, Vikas Kumar, Mark L. Braunstein, James Bost, Duen Horng (Polo) Chau, Minsuk Kahng. IEEE VIS 2014 Workshop on Visualizing Electronic Health Record Data (EHRVis). Nov 9, 2014. Paris, France.
Exploring Clinical Care Processes Using Visual and Data Analytics: Challenges and Opportunities. Vikas Kumar, Hyunwoo Park, Rahul C. Basole, Mark Braunstein, Minsuk Kahng, Duen Horng Chau, Acar Tamersoy, Daniel A. Hirsh, Nicoleta Serban, James Bost, Burton Lesnick, Beth Schissel, Michael Thompson. ACM KDD'14 Data Mining for Social Good Workshop. Aug 24, 2014, New York City, NY.
Temporal Event Sequence Mining for Glioblastoma Survival Prediction. Kunal Malhotra, Duen Horng (Polo) Chau, Jimeng Sun, Costas Hadjipanayis, Shamkant B. Navathe. KDD 2014 Workshop on Health Informatics (HI-KDD 2014). Aug 24, 2014. New York City, NY. USA.
Leveraging Memory Mapping for Fast and Scalable Graph Computation on a PC. Zhiyuan (Jerry) Lin, Duen Horng (Polo) Chau, U Kang. IEEE BigData'13 Scalable Machine Learning: Theory and Applications. Oct 6, Santa Clara, CA.
Exploring Large Scale Insider Trading Data: Network Patterns & Discoveries. Acar Tamersoy, Bo Xie, Stephen Lenkey, Bryan R. Routledge, Duen Horng (Polo) Chau, Shamkant B. Navathe. Workshop on Information in Networks (WIN 2013). Oct 4-5, New York, NY.
Scalable, Minimalist Graph Computation on a PC via Memory Mapping. Zhiyuan (Jerry) Lin, Duen Horng (Polo) Chau, U Kang. Workshop on Information in Networks (WIN 2013). Oct 4-5, New York, NY.
Augmenting MATLAB with Semantic Objects for an Interactive Visual Environment. Changhyun Lee, Jaegul Choo, Duen Horng (Polo) Chau, Haesun Park. KDD 2013 Workshop on Interactive Data Exploration and Analytics (IDEA 2013). Aug 11, 2013. Chicago, Illinois.
Polonium: Tera-Scale Graph Mining for Malware Detection. Duen Horng (Polo) Chau, Carey Nachenberg, Jeffrey Wilhelm, Adam Wright, Christos Faloutsos. The 2nd Workshop on Large-scale Data Mining: Theory and Applications (LDMTA 2010). July 25, 2010. Washington, DC.
IBM Student Travel Fellowship
Inference of Beliefs on Billion-Scale Graphs. U Kang, Duen Horng (Polo) Chau, Christos Faloutsos. The 2nd Workshop on Large-scale Data Mining: Theory and Applications (LDMTA 2010). July 25-28, 2010. Washington, DC.
Supporting Ad Hoc Sensemaking: Integrating Cognitive, HCI, and Data Mining Approaches. Aniket Kittur, Duen Horng (Polo) Chau, Christos Faloutsos, Jason I. Hong. Sensemaking Workshop at CHI 2009. April 4-5, 2009. Boston, MA.
Feldspar: A System for Finding Information by Association. Duen Horng (Polo) Chau, Brad Myers, and Andrew Faulring. PIM 2008: CHI 2008 Workshop on Personal Information Management. April 5-6, 2008. Florence, Italy.
Fraud Detection in Electronic Auction. Duen Horng (Polo) Chau and Christos Faloutsos. Proceedings of EWMF'05: European Web Mining Forum, at ECML/PKDD'05. October 3-7, 2005. Porto, Portugal.
Poster Papers
GLOs: Graph-Level Operations for Exploratory Network Visualization. Charles D. Stolper, Florian Foerster, Minsuk Kahng, Zhiyuan Lin, Aakash Goel, John Stasko, Duen Horng (Polo) Chau. Extended Abstracts, CHI 2014. Apr 26 - May 1, 2014. Toronto, Canada.
Interactive Multi-resolution Exploration of Million Node Graphs. Zhiyuan (Jerry) Lin, Duen Horng (Polo) Chau. Poster Abstract, IEEE VIS 2013 Oct 13 - 18, 2013. Atlanta, GA, USA.
Fast Interactive Visualization for Multivariate Data Exploration. Changhyun Lee, Wei Zhuo, Jaegul Choo, Duen Horng (Polo) Chau. Extended Abstracts, CHI 2013 Apr 27- May 2, 2013. Paris, France.
TopicViz: Semantic Navigation of Document Collections. Jacob Eisenstein, Duen Horng (Polo) Chau, Aniket Kittur, Eric P. Xing. Extended Abstracts, CHI 2012. May 5-10, 2012. Austin, TX, USA.
Parallel Crawling for Online Social Networks. Duen Horng (Polo) Chau, Shashank Pandit, Samuel Wang, and Christos Faloutsos. International Conference on World Wide Web (WWW) 2007. May 8-12, 2007. Banff, Alberta, Canada. Pages 201-210.
Integrating Isometric Joysticks into Mobile Phones for Text Entry. Duen Horng (Polo) Chau, Jacob O. Wobbrock, Brad A. Myers, Brandon Rothrock. Extended Abstracts, CHI 2006. April 22-27, 2006. Montreal, Canada. Pages 640-645.
Demos
Demonstrating Interactive Multi-resolution Large Graph Exploration. Zhiyuan (Jerry) Lin, Nan Cao, Hanghang Tong, Fei Wang, U Kang, and Duen Horng (Polo) Chau. ICDM 2013. Dec 7 - 10, 2013. Dallas, Texas, USA.
Interactive Data Analysis Tool by Augmenting MATLAB with Semantic Objects. Changhyun Lee, Jaegul Choo, Duen Horng (Polo) Chau, and Haesun Park. ICDM 2013. Dec 7 - 10, 2013. Dallas, Texas, USA.
Interactively and Visually Exploring Tours of Marked Nodes in Large Graphs. Duen Horng (Polo) Chau, Leman Akoglu, Jilles Vreeken, Hanghang Tong, Christos Faloutsos. ASONAM 2012. Aug, 2012. Istanbul, Turkey
TourViz: Interactive Visualization of Connection Pathways in Large Graphs. Duen Horng (Polo) Chau, Leman Akoglu, Jilles Vreeken, Hanghang Tong, Christos Faloutsos. KDD 2012. Aug, 2012. Beijing, China
Large Graph Mining System for Patterns, Anomalies & Visualization. Leman Akoglu, Duen Horng (Polo) Chau, U Kang, Danai Koutra, Christos Faloutsos. Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2012. May 29-Jun 1, 2012. Kuala Lumpur, Malaysia
OPAvion: Mining and visualization in large graphs. Leman Akoglu, Duen Horng (Polo) Chau, U Kang, Danai Koutra, Christos Faloutsos. ACM SIGMOD Conference 2012. May 20-24, 2012. Scottsdale, Arizona, USA
Apolo: Interactive Large Graph Sensemaking by Combining Machine Learning and Visualization. Duen Horng (Polo) Chau, Aniket Kittur, Jason I. Hong, Christos Faloutsos. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2011. Aug 21-21, 2011. San Diego, California, USA.
SHIFTR: A Fast and Scalable System for Ad Hoc Sensemaking of Large Graphs. Duen Horng (Polo) Chau, Aniket Kittur, Christos Faloutsos, Hanghang Tong, Jason I. Hong. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2009. June 28-July 1, 2009. Paris, France.
GRAPHITE: A Visual Query System for Large Graphs. Duen Horng (Polo) Chau, Christos Faloutsos, Hanghang Tong, Jason I. Hong, Brian Gallagher, Tina Eliassi-Rad. International Conference on Data Mining (ICDM) 2008. Dec 15-19, 2008. Pisa, Italy.
Video
SHIFTR: a user-directed, link-based system for ad hoc sensemaking of large heterogeneous data collections. Duen Horng (Polo) Chau, Aniket Kittur, Christos Faloutsos, Jason I. Hong. Extended Abstracts of CHI 2009. Apr 4-9, 2009. Boston, MA.

Ph.D. Students

Advisor
Acar Tamersoy. CS. Co-adv: Sham Navathe. Spring, 2013 - present.
Received Symantec Research Labs (SRL) Graduate Fellowship, 2014-2015
Robert Pienta. CSE. Spring, 2013 - present.
Brian Minsuk Kahng. CS. Fall, 2013 - present.
Received NSF Graduate Fellowship, 2014
Kaeser Puryear Sabrin. CS. Co-adv: Santiago Grijalva. Fall, 2013.
Bo Xie. IC. Fall 2012 - Spring 2013.
Co-advisor
Shang-Tse Chen. CS. Co-adv: Nina Balcan. Fall 2014 - present.
Chad Stolper. CS. Adv: John Stasko. Spring 2014 - present.
Kunal Malhotra. CS. Adv: Sham Navathe. Spring 2013 - present.
PhD Special Problem
Can Hantas. Co-adv: Sham Navathe. Spring 2014 - present.
Collaborators
Dr. Jaegul Choo. CSE. Adv: Haesun Park. Spring 2013 - present.
Wei (Tina) Zhou. IC. Adv: Jarek Rossignac. Spring 2013 - Fall 2013.

Masters Students

MS Thesis Advisor
Elias Khalil. CSE. Spring 2013 - Spring 2014.
Thesis: Optimizing the Structure of Diffusion Networks: Theory and Algorithms
Marshall D. Williamson Fellowship, for well-rounded second-year Masters' students, Spring 2014
Donald V. Jackson Fellowship, for well-rounded first year Masters' students, Spring 2013
Now: CSE/CoC PhD student
Research Advisor
Mayank Gupta. Co-adv: Rahul Basole. MS CS. Fall 2014 - present. Foerster. HCI. Spring 2014 - present.
Florian Foerster. HCI. Spring 2014 - present.
Ganesh Parameswaran. CSE. Fall 2013.
Placed: Yahoo! software engineer
Changhyun Lee. CSE. Adv: Haesun Park. Fall 2012 - Spring 2013.
Placed: Google software engineer
Neha Reddy. M.S. Info Networking, CMU. 2009.
Placed: Cvent software engineer
Karthik Thiyagarajan. M.S. Info Networking, CMU. 2009.
Placed: QuantFind software engineer
Masters Project
Shan Li. HCI. Fall 2014 - present.
Project: A Course/Major Recommendation System for Georgia Tech Students
Srishti Gupta. CS. Spring 2014 - present.
Project: A Study of Venture Capitalists through Graph Analysis
Aakash Goel. CSE. Spring, Fall 2013.
Project: Improvements to Apolo (a Machine Learning Based Graph Visualization and Analysis System for Large Network Data)
Placed: Google software engineer
MS Special Problem
Vivek Nahbi. CS. Spring 2014 - present.
Project: Systematic Integration of Large Data Sets for Improved Decision-Making.
Jon Greg. CSE. Fall 2012.
Project: Anomaly detection for graphs
Zhen (Henry) Wang. CSE. Fall 2012.
Project: Large graph decomposition
Ziaohui Luo. IC. Fall 2012.
Project: Graph visualization on mobile devices

Undergraduate Students

Research Advisor
Arman Rye. ISyE. Fall 2014 - present.
Gustavo Oliver. ISyE. Fall 2014 - present.
Nathan Dass. CS. Fall 2014 - present.
Wearable Computing Center Engagement Grant ($4000 requested, Fall'14)
Paras Jain. CS. Fall 2014 - present.
Yiqi (Victor) Chen. CS. Fall 2013 - present.
Awarded President's Undergraduate Research Travel Award (PURA) ($1000, Spring'15)
Zhiyuan (Jerry) Lin. CS. Spring 2013 - present.
Awarded President's Undergraduate Research Travel Award (PURA) ($1000, Fall'14)
1st place, 9th Undergraduate Research Kaleidoscope (URK). Oct 2014.
Awarded Sigma Xi Best Undergraduate Research Award ($200, plaque, certificate, Spring 2014)
2nd Place, 9th Annual Undergraduate Research Symposium at Georgia Tech's College of Computing, Spring 2014
Awarded President's Undergraduate Research Salary Award (PURA) ($1500, Fall'13)
Funded by Faculty Materials, Supplies and Travel Grants for Undergraduate Research ($1000, Summer'13)
Awarded to attend the prestigious SC13 (SuperComputing) Experiencing HPC for Undergraduates program. 25 total awardees worldwide.
Samuel Clarke. CS. Co-adv: Hongyuan Zha. Spring 2013 - present.
LatentGesture research featured in popular press
Wearable Computing Center Engagement Grant ($4000 requested, Fall'14)
Premkumar (Prem) Saravanan. CS. Co-adv: Hongyuan Zha. Summer 2013 - present.
Awarded President's Undergraduate Research Salary Award (PURA) ($1500, Spring'14)
LatentGesture research featured in popular press
Samarth Agarwal. CS. Spring 2013.
Sahil Jolly. CS, CMU. 2010.
Placed: Amazon
Sam Wang. CS, CMU. 2006 - 07.
Project: eBay fraud detection
Now: PhD student at MIT

Visiting Scholars

Hugo Armando Gualdron Colmenares, visiting from Universidade de São Paulo. Oct 2014 - Mar 2015.

Keynotes

Scalable, Interactive Tools for Large Graph Analytics
Oct 27, 2014
Scalable Machine Learning: Theory and Applications workshop at IEEE International Conference on Big Data (IEEE BigData 2014)
Oct 2, 2014
Undergraduate Research Kaleidoscope. Jointly hosted by Georgia Tech Library and the Undergraduate Research Opportunities Program.

Invited Talks

Data Mining Meets HCI: Scalable, Interactive and Comprehensible Tools for Data Analytics
Jun 24, 2014
PARC (Palo Alto Research Center Incorporated). Hosts: Oliver Brdiczka, David Gunning.
Jun 6, 2014
Search Technology Forum, eBay.
Apr 26, 2014
2014 SIAM Data Mining (SDM) Workshop on Exploratory Data Analysis.
Mar 13, 2014
Data Science ATL. Host: Dr. Raj Bandyopadhyay. SOLD-OUT! 200 attendees. 5-star reviews.
Jan 16, 2014
Big Data Chalk & Talk/Brown Bag. Georgia Tech.
Data Mining Meets HCI: Scalable, Interactive Tools for Large Graphs
Nov 5, 2013
Rutgers University. Host: Prof. Tina Eliassi-Rad.
Nov 4, 2013
Bell Labs. Host: Chun-Nam (John) Yu.
Data Mining Meets HCI: Making Sense of Large Graphs
Jun 28, 2013
Goodreads. Host: Jeff Wong.
Mar 15, 2013
Stanford HCI seminar. Host: Prof. Jeff Heer.
Feb 11, 2013
LogicBlox. Host: Nikolaos (Nick) Vasiloglou II.
Nov 28, 2012
UC Berkeley iSchool Dean's Lecture. Host: Prof. Marti Hearst
Oct 25, 2012
Linkedin. Host: Dr. Daniel Tunkelang, Dr. Monica Rogati
Sept 26, 2012
Hong Kong University, School of Business. Host: Prof. Michael Chau
Oct 11, 2012
IBM (T.J. Watson Research Center). Host: Dr. Hanghang Tong.
June 11, 2012
Huawei Noah Ark Research Lab, Hong Kong. Host: Prof. Qiang Yang.
May 28, 2012
Hong Kong University of Science and Technology. Host: Lionel Li
Apr 16, 2012
University of Pittsburgh, School of Information. Pittsburgh, PA, USA. Host: Prof. Peter Brusilovsky.
Apr 6, 2012
Georgia Tech, School of Computational Science & Engineering. Atlanta, Georgia, USA.
Apr 2, 2012
Virginia Tech, Computer Science Department. Blacksburg, Virginia, USA.
Mar 26, 2012
University of Rochester, Computer Science Department. Rochester, New York, USA.
Mar 20, 2012
Stony Brook University, Computer Science Department. Stony Brook, New York, USA.
Mar 13, 2012
Brown University, Computer Science Department. Providence, Rhode Island, USA.
Mar 7, 2012
University of Michigan, School of Information. Ann Arbor, Michigan, USA.
Feb 27, 2012
Pennsylvania State University, College of Information Sciences and Technology. State College, Pennsylvania, USA.
Feb 24, 2012
Carnegie Mellon University, Tepper School of Business. Pittsburgh, Pennsylvania, USA.
Exploiting Network Effects for Fraud and Malware Detection
Aug 2, 2013
The Third EITA Young Investigator Conference (EITA-YIC 2013), MIT. Invited

Large Graph Analytics: Anomaly Detection & Visualization
Mar 24, 2013
SIAM SEAS mini symposium on Anomaly Detection Methods and Applications. Invited by Dr. Blair Sullivan, Dr. Robert Bridges.
June 4, 2012
Singapore Management University. Host: Kyriakos Mouratidis

Mining Billion-Node Graphs: Ideas & Tools
May 28, 2012
Carnegie Mellon University, Tepper School of Business. Pittsburgh, Pennsylvania, USA. Invited.

Mining Massive Graphs: Visualization and Anomaly Detection
May 13, 2011
Google. Mountain View, CA, USA
May 10, 2011
Simon Fraser University. Vancouver, Canada. Host: Prof. Jian Pei. Invited.

Detecting Fraudulent Personalities in Networks of Online Auctioneers
Feb 16, 2007
eBay. Palo Alto, CA, USA. Invited.

Panels

Invited Panel Chair
Apr 15, 2013
Center for Data Analytics workshop, Georgia Tech
Invited Panelist
Oct 16, 2013
IEEE Vis'2013 Workshop on Using Visual Analytics to Foster Lateral Thinking About Business Problems. Host: Chandan Gokhale (Infosys)
Apr 30, 2013
PACE Town Hall panel, on HPC, visualization
Dec 11, 2012
SAMSI-FODAVA Workshop on Interactive Visualization and Analysis of Massive Data
Nov 13, 2012
Big Data Meets Social Media at Georgia Tech's Institute for People and Technology (iPaT)'s annual People & Technology Forum

Patents

Inferring File and Website Reputations by Belief Propagation Leveraging Machine Reputation. Adam Wright (Symantec), Duen Horng Chau. U.S. Patent No. 8,341,745. 25 Dec. 2012.
System and Method for Identifying Related and Synonymous Phrases in Ad Creatives. Arun Swami (Google), Duen Horng Chau. Pending.
System and Method for Identifying Contextually Relevant Phrases in Ad Creatives. Arun Swami (Google), Duen Horng Chau. Pending.

Press

Yahoo Faculty Research and Engagement Program (FREP) Award by Yahoo! Labs. (GT press releases 1 & 2)
"Fraudsters on Internet Auction Sites Often Leave Trail Leading to Crimes", Lee Gomes, The Wall Street Journal, December 6, 2006.
"Researchers: Software Can Nip eBay Fraud in The Bud", Bob Sullivan, MSNBC, December 8, 2006.
KQV Radio live interview, Host: Frank Gottlieb, December 10, 2006.
"Researchers Developing Anti-Fraud Tool", Joe Mandak, The Associated Press, December 11, 2006. Also appeared in over 100 newspapers around the world, including USA Today, Los Angeles Times, The Washington Post.
"CMU Develops Program To Online Auction Fraud", Keith Jones, KDKA-TV News, originally aired December 12, 2006.
BizRadio live interview, Host: Brent Clenton, December 13, 2006
"Online Auction Frauds Not As Clever As They Think, Researchers Say", Alpha Doggs, Network World, December 5, 2006.

Design Awards & Leadership

  1. 2006Winner, Carnegie Mellon ID card design contest.
  2. Winner, Graduate Student Assembly logo design contest. Carnegie Mellon University.
  3. Winner, Language Technologies Institute T-shirt design contest. Carnegie Mellon University.
  4. 2005Design lead, HCI Masters capstone project. Client: Office of Naval Research.
  5. 2004Winner, webpage design contest for the New Asia College homepage. The Chinese University of Hong Kong.
  6. Lead graphics designer, The Chinese University of Hong Kong 40th Anniversary Concert.
  7. 1999-2000Art Director of school yearbook. Diocesan Boys' School (Hong Kong).

Art Installations

Butterflies
Installed at the Pittsburgh Children’s Museum on March 5, 2009
Team: Jesse Chorng, Joanna Ricou, Polo Chau
The Curator
Installed at the Pittsburgh Children's Museum on April 25, 2009
Team: Polo Chau François Chu, Sue Ann Hong, Patrick Gage Kelley

Grants

Co-PI
Proactive Detection of Insider Threats with Graph Analysis at Multiple Scales
PIs: T. Senator (SAIC) and D.A. Bader (GTRI)
Defense Advanced Research Projects Agency
Anomaly Detection at Multiple Scales (ADAMS) Program
Funded: $2,927,976 (GT portion), 5/1/2011 - 4/30/2013
CGV: Small: Making Sense out of Large Graphs - Bridging HCI with Data Mining
NSF IIS-1217559
PI: Christos Faloutsos
Co-PI: Duen Horng Chau, Aniket Kittur
Funded. $528,578.00, 8/25/2012 - 8/31/2015
Discovery, Analysis, and Visualization of Pediatric Careflow Processes
Raytheon Faculty Fellowship, with Rahul Basole (IC). One half-time GRA for the academic year (Fall 2014 & Spring 2015) co-advised by two College Faculty.
Gift
LogicBlox. Fall 2013 - Spring 2014: $12,500.
Symantec. Summer 2013: $10,000. April 2014: $26,000
eBay. Summer 2014: $15,000.
Yahoo Faculty Research Engagement (FREP) award. 2014 - 2015: $10,000.
Yahoo sponsoring student seminars and distinguished lectures. 2014 - 2015: $13,500.
MS&T
Faculty Materials, Supplies and Travel Grants for Undergraduate Research, advising Mr. Zhiyuan (Jerry) Lin. Awarded: $1000, summer 2013
Faculty Materials, Supplies and Travel Grants for Undergraduate Research, advising Mr. Yiqi (Victor) Chen. Awarded: $800, summer 2014
Fellowship
Research proposals led to two full years of research funding from Symantec. Awarded:$140,000.
Co-author
$35 million DARPA proposal on Anomaly Detection at Multiple Scales (ADAMS). CMU funded ~$500,000. Co-authored the winning proposal, represented CMU and led research efforts.
Miscellaneous
Amazon Web Services (AWS) Teaching Grant
$10000 credits to students of my class Data and Visual Analytics, CSE 6242 / CX 4242, Spring 2014
Amazon Web Services (AWS) Teaching Grant
$4000 credits to students of my class Data and Visual Analytics, CSE 6242 A / CS 4803 DVA, Spring 2013
Unfunded
Helped in creating an NEC proposal for University Awards from NEC Labs Data Management. $75,000

Professional Activities

Conference Leadership
ACM Intelligent User Interfaces Conference (IUI) 2015 Co-chair
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2014 Publicity Chair
IEEE International Conference on Data Mining (ICDM) 2014 Publicity Chair
NSF Review Panelist
Information and Intelligent Systems (IIS) Division in 2014
Workshop Organizer
KDD 2014 workshop on Interactive Data Exploration and Analytics (IDEA)
WWW 2014 workshop on Big Graph Mining (BGM)
KDD 2013 workshop on Interactive Data Exploration and Analytics (IDEA)
Session Chair
KDD 2014: Scaling-up Graph Algorithms
Conf Associate Chair
AVI 2014
Conf Program Committee
KDD 2013, 2014
SDM 2014, 2015 (SIAM International Conference on Data Mining)
WSDM 2015
SC14 (SuperComputing 2014) - Data Analytics, Visualization and Storage
ECML/PKDD 2013, 2014
Chinese CHI 2014
Workshop Program Committee
IEEE International Conference on Data Mining (ICDM 2014) workshop on Scalable Machine Learning: Theory and Applications
IEEE International Conference on Big Data (IEEE BigData 2014) workshop on Scalable Machine Learning: Theory and Applications
Reliability and Security Data Analysis (RSDA 2014)
ICDM workshop on Scalable Data Analytics: Theory and Applications
WWW 2014 workshop on Mining Big Data in Social Media and the Web (MSM)
ACM SAC 2014 (Symposium On Applied Computing)
KDD 2013 workshop on Outlier Detection and Description (ODD)
KDD 2014 workshop on Outlier Detection & Description under Data Diversity (ODD^2)
ICDM 2012 (Demo Session)
ECML PKDD 2012 Workshop on Instant Interactive Data Mining
NIPS 2011 workshop on parallel and large-scale machine learning (Big Learning)
CSCW 2012 workshop on Personal Information Management (PIM)
ASIST 2009 workshop on Personal Information Management (PIM)
Symposium Org.
The First Student Research Symposium. CMU/Machine Learning Department. 2009.
Journal Reviewer
IEEE’s Transactions on Knowledge and Data Engineering (TKDE), 2014
ACM Computing Surveys, 2014
Statistical Analysis and Data Mining journal Special Issue of "Best of SDM 2014"
International Journal on Human-Computer Interaction (2014)
Data & Knowledge Engineering (DKE) Journal (2013)
IEEE Journal of Biomedical and Health Informatics (2013)
Software: Practice and Experience (2013)
IEEE Intelligent Systems (2012)
Parallel Computing (2011)
IBM Systems Journal (2007)
Conference Reviewer
SDM 2014, 2015
KDD 2013, 2014
ICDM 2012
WSDM 2015
WWW 2008, 2009, 2010
ECML/PKDD 2008, 2009, 2013
IEEE BigData 2014
CHI 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015
UIST 2007, 2008, 2009, 2010, 2014
IUI 2012, 2013, 2014
AVI 2014
SuperComputing (SC) 2014
NIPS 2013
VLDB 2008, 2009
HICSS 2013
International Cross Domain Conference and Workshop (CD-ARES 2013)
Seminar Organizer
Machine Learning Lunch Seminar. CMU/Machine Learning Department. 2008-2011.
CSE Seminar Co-organizer. GT/CSE. 2012–2013 AY.
Member
Association for Computing Machinery (ACM). Since 2006.
The Institute of Electrical and Electronics Engineers (IEEE). Since 2006.
HCIC (Human Computer Interaction Consortium)
Machine Learning Department (CMU) website committee

Services At Georgia Tech

CSE
Associate Director, Masters in Analytics program
School Advisory Committee (SAC), 2013-2014 AY, 2014-2015 AY
Graduate Admissions Committee (CS, CSE programs), 2012–2013, 2013–2014 AY (Chair of CSE)
PhD Recruiting Committee (Chair of CSE), 2012–2013, 2013–2014 AY
CSE Chair Search Committee Member, 2012–2013 AY
CSE Seminar Co-organizer, 2012–2013 AY
Space Planning Committee, 2012–2013 AY
Created State of CSE info graphics
PhD Thesis
Long Tran. GT/CSE. Adv: Hongyuan Zha, Alex Gray. Proposal: 9/10/2014. Defense: TBD, GT/CSE
Saeideh Bakhshi, GT/IC. Adv: Eric Gilbert. Defense: 7/1/2014
Da Kuang, GT/CSE. Adv: Haesun Park. Defense: 6/12/2014
Albert Brzeczko, GT/ECE. Adv: John Copeland. Defense: 4/2/2014
Liangda Li, GT/CSE. Adv: Hongyuan Zha. Proposal: 4/9/2014
Mengdie Hu. GT/IC. Adv: John Stasko. Proposal: 12/11/2013.
Zhaoming Yin. GT/CSE. Adv: David Bader. Proposal: 4/26/2013.
Oded Green. GT/CSE. Adv: David Bader. Proposal: 3/26/2013. Defense: 3/14/2014.
Ke Zhou. GT/CSE. Adv: Hongyuan Zha. Proposal: 1/24/2013.
Soumitry Ray. GT/Civil Eng. Adv: Jochen Teizer. Proposal: 11/21/2012. Defense: 3/24/2014
PhD Qualifying Exam
Mehrdad Farajtabar. GT/CSE. Adv: Edmond Chow.
Jiajia Li. GT/CSE.
Lluis Miquel Munguia. GT/CSE. Adv: David Bader. 11/8/13.
James Fairbanks. GT/CSE. Adv: David Bader. 10/9/13.
Bo Xie. GT/CS. Adv: Haesun Park, Le Song. 11/5/2014
Kunal Malhotra. GT/CS. Adv: Sham Navathe. 4/22/2013.
Ramakrishnan (Ramki) Kannan. GT/CSE. Adv: Haesun Park. 3/29/2013.
Chad Stolper. GT/IC. Adv: John Stasko. 3/27/2013.
Anita Zakrzewska. GT/CSE. Adv: David Bader. 12/6/2012.
Robert Pienta. GT/CSE. Adv: Richard Fujimoto. 10/5/2012.
Masters Thesis
Adam Coulon. GT/CSE (Aerospace Eng). Scott Duncan (Chair), Dimitri Mavris. Proposal: 4/2/2014. Defense: 11/10/2014.
Misc
Mascot Task Force committee member. Carnegie Mellon University. 2006.
The Chinese University of Hong Kong 40th Anniversary Concert committee. 2004.

Skills

  1. HCI
    • Contextual inquiry
    • Think-aloud protocol
    • Cognitive walkthrough
    • Heuristic evaluation
    • GOMS
    • Persona
    • Focus groups
    • Rapid paper prototyping
  2. Programming
    • Java
    • C++
    • C
    • SQL
    • VB
    • Assembly
    • JavaScript
    • ActionScript
    • CSS
    • PHP
    • ASP
    • XML
    • HTML
  3. Design
    • Photoshop
    • Illustrator
    • Premiere
    • InDesign
    • Flash
    • Lightwave 3D
    • 3D Studio MAX
  4. Music
    • Pianist (20+ years)
    • Cellist (20+ years)
    • High school string orchestra conductor
    • Chamber music group member
    • Choir member
  5. Languages
    • English
    • Mandarin
    • Cantonese (native)

References

Christos Faloutsos
Professor, Computer Science Department, Carnegie Mellon University
Jason I. Hong
Associate Professor, Human-Computer Interaction Institute, Carnegie Mellon University
Aniket Kittur
Assistant Professor, Human-Computer Interaction Institute, Carnegie Mellon University
Brad Myers
Professor, Human-Computer Interaction Institute, Carnegie Mellon University
Jacob O. Wobbrock
Associate Professor, The Information School, University of Washington
Carey Nachenberg
Vice President and Symantec Fellow, Symantec Corporation
Adjunct Professor of Computer Science, UCLA Computer Science Department
Dr. Arun Swami
Member of Technical Staff, Google
Last modified: July 3, 2013