Georgia Tech, College of Computing
Polo CHAU
Legal name:
Duen Horng Chau
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
404-385-7682
Office: Klaus 1324

Positions

  1. Aug 2012 - Assistant Professor
    School of Computational Science & Engineering, Georgia Tech
  2. 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
    6.

Research Interests

  1. My research bridges Data Mining and Human-Computer Interaction to synthesize systems and tools that help people understand and interact with Big Data. My thesis focuses on massive networks with billions of nodes and edges.
  2. 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

Academic Honors & Awards

  1. 2012Carnegie Mellon School of Computer Science Dissertation Award, Honorable Mention
  2. 2010Open Source Software World Challenge, Silver Award (3rd place), for the PEGASUS project which mines billion-node graphs. U Kang, Duen Horng Chau, Christos Faloutsos
  3. 2009-2010Symantec 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.
  4. 2009Yahoo! 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.
  5. 2008-2009Symantec 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.
  6. 2008Winner, Symantec research competition (internal).
  7. 2006Best Presentation Award, 3rd Place, PKDD'06.
  8. 2001, 2002, 2003Dean's List
  9. 2002, 2003Nominated for university scholarships

Employment

  1. Summer-Fall 2011Google, Ads Backend Team Mountain View, CA
    Ph.D. Software Engineer Intern Mentor: Dr. Arun Swami
  2. Fall 2009Symantec Research Labs Los Angeles, CA
    Ph.D. Research Intern Mentor: Mr. Carey Nachenberg
  3. Summer 2008Symantec Research Labs Los Angeles, CA
    Ph.D. Research Intern Mentor: Mr. Darren Shou
  4. 2005-2007Carnegie Mellon University, Human-Computer Interaction Institute Pittsburgh, PA
    Research Associate Supervisor: Prof. Brad Myers
  5. Summer 2003The Chinese University of Hong Kong, Lightwave Communications Lab Hong Kong
    Undergraduate Research Assistant
  6. 2002-2007Elfware Company Hong Kong
    System Consultant

Teaching

Courses
Data and Visual Analytics, CSE 6242 A / CS 4803 DVA, Spring 2013. Georgia Tech. 35 students.
Guest lectures
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.

Publications (Google h-index: 15)

Conference
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.
PDF
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.
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.
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.
PDF
Mining Connection Pathways for Marked Nodes in Large Graphs. Leman Akoglu, Jilles Vreeken, Hanghang Tong, Duen Horng Chau, Nikolaj Tatti, and Christos Faloutsos. Proccedings 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. PDF
    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. PDF
    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. PDF
    YouTube
    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. PDF
    Polonium: Tera-Scale Graph Mining and Inference for Malware Detection. Duen Horng (Polo) Chau, Carey Nachenberg, Jeffrey Wilhelm, Adam Wright, Christos Faloutsos. Proccedings of SIAM International Conference on Data Mining (SDM) 2011. April 28-30, 2011. Mesa, Arizona. [25% acceptance rate]
  6. PDF
    Code
    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. PDF
    YouTube
    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. PDF
    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. PDF
    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. PDF
    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. PDF
    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. PDF
    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. PDF
    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. PDF
    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. PDF
    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. PDF
    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. PDF
    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]
  18. PDF
    Invited ArticlesCatching 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.
  19. Case study on fraud detection using social-network analysis. Duen Horng (Polo) Chau and Christos Faloutsos. Encyclopedia of Social Networks and Mining. In preparation.
  20. Workshop Papers
    PDF
    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
  21. PDF
    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.
  22. 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.
  23. PDF
    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.
  24. PDF
    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.
  25. Poster Papers
    PDF
    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.
  26. 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.
  27. 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.
  28. PDF
    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.
  29. Demos 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
  30. Poster
    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
  31. 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
  32. PDF
    Poster
    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
  33. PDF
    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.
  34. PDF
    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.
  35. PDF
    YouTube
    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.
  36. 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.

Design Awards & Leadership

  1. 2006Winner, Carnegie Mellon ID card design contest. My design has been in use since then.
  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).

Talks

Making sense of big data: combining data mining and visualization
Jun 20, 2013
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
Exploiting Network Effects for Fraud and Malware Detection
Aug 2, 2013
The Third EITA Young Investigator Conference (EITA-YIC 2013), MIT. Invited
Data Mining Meets HCI: Making Sense of Large Graphs
Jun 28, 2013
Goodreads. Host: Jeff Wong. Invited
Mar 15, 2013
Stanford HCI seminar. Host: Prof. Jeff Heer. Invited
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. Invited.
June 11, 2012
Huawei Noah Ark Research Lab, Hong Kong. Host: Prof. Qiang Yang. Invited.
June 11, 2012
Huawei Noah Ark Research Lab, Hong Kong. Host: Prof. Qiang Yang. Invited.
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. Invited.
Apr 6, 2012
Georgia Tech, School of Computational Science & Engineering. Atlanta, Georgia, USA. Invited.
Apr 2, 2012
Virginia Tech, Computer Science Department. Blacksburg, Virginia, USA. Invited.
Mar 26, 2012
University of Rochester, Computer Science Department. Rochester, New York, USA. Invited.
Mar 20, 2012
Stony Brook University, Computer Science Department. Stony Brook, New York, USA. Invited.
Mar 13, 2012
Brown University, Computer Science Department. Providence, Rhode Island, USA. Invited.
Mar 7, 2012
University of Michigan, School of Information. Ann Arbor, Michigan, USA. Invited.
Feb 27, 2012
Pennsylvania State University, College of Information Sciences and Technology. State College, Pennsylvania, USA. Invited.
Feb 24, 2012
Carnegie Mellon University, Tepper School of Business. Pittsburgh, Pennsylvania, USA. 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

Chair
Apr 15, 2013
Center for Data Analytics workshop
Invited Panelist
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.
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

"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.

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
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.
Helped in creating an NSF proposal HCI meets Data Mining — Attention Routing, Visualization and Sense-making of Large Graphs. $500,000. Funded.
Miscellaneous
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

Ph.D. Students

Advisor
Acar Tamersoy. CS. Spring, 2013 - present.
Robert Pienta. CSE. Spring, 2013 - present.
Collaborators
Jaegul Choo. CSE. Adv: Haesun Park. Spring 2013 - present.
Kunal Malhotra. CS. Adv: Sham Navathe. Spring 2013 - present.
Wei (Tina) Zhou. IC. Adv: Jarek Rossignac. Spring 2013 - present.
Bo Xie. IC. Fall 2012 - present.

Masters Students

Advisor
Elias Khalil. CSE. Spring 2013 - present.
Received the Donald V. Jackson Fellowship (for well-rounded first year Masters' students)
Aakash Goel. CSE. Spring 2013 - present.
Neha Reddy. M.S. Info Networking, CMU. 2009.
Now: Cvent software engineer
Karthik Thiyagarajan. M.S. Info Networking, CMU. 2009.
Now: QuantFind software engineer
Co-advisor
Changhyun Lee. CSE. Adv: Haesun Park. Fall 2012 - present
Special Project
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

Zhiyuan (Jerry) Lin. CS. Spring 2013 - present.
Samuel Clarke. CS. Co-advised with Hongyuan Zha. Spring 2013 - present.
Samarth Agarwal. CS. Spring 2013.
Sahil Jolly. CS, CMU. 2010.
Now: Amazon
Sam Wang. CS, CMU. 2006 - 07.
Project: eBay fraud detection
Now: PhD student at MIT

Professtional Activities

Workshop Organizer
KDD 2013 workshop on Interactive Data Exploration and Analytics (IDEA)
Symposium Org.
The First Student Research Symposium. CMU/Machine Learning Department. 2009.
Program Committee
KDD 2013
KDD 2013 workshop on Outlier Detection and Description (ODD)
PKDD/ECML 2013
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)
Journal Reviewer
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
KDD 2013
ECML/PKDD 2013
NIPS 2013
International Cross Domain Conference and Workshop (CD-ARES 2013)
ICDM 2012
CHI 2007 - 2013
UIST 2007 - 2010
IUI 2012 - 2013
WWW 2008 - 2010
ECML/PKDD 2008 - 2009
VLDB 2008 - 2009
HICSS 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
Graduate Admissions Committee, 2012–2013, 2013–2014 AY
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
PhD Thesis
Zhaoming Yin. GT/CSE. Adv: David Bader. Proposal: 4/26/2013.
Oded Green. GT/CSE. Adv: David Bader. Proposal: 3/26/2013.
Ke Zhou. GT/CSE. Adv: Hongyuan Zha. Proposal: 1/24/2013.
Soumitry Ray. GT/Civil Eng. Adv: Jochen Teizer. Proposal: 11/21/2012.
PhD Qualifying Exam
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.
Other
Created State of CSE info graphics
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 1, 2013