Albert Hung Chao Hong Scholarship Essays

The Journal of Asian Studies

Description:

For 56 years, The Journal of Asian Studies has been recognized as the most authoritative and prestigious publication in the field of Asian Studies. This quarterly has been published regularly since November 1941, offering Asianists a wealth of information unavailable elsewhere. Each issue contains four to five feature articles on topics involving the history, arts, social sciences, philosophy, and contemporary issues of East, South, and Southeast Asia, as well as a large book review section.

Coverage: 1956-2014 (Vol. 16, No. 1 - Vol. 73, No. 4)

Moving Wall: 3 years (What is the moving wall?)

The "moving wall" represents the time period between the last issue available in JSTOR and the most recently published issue of a journal. Moving walls are generally represented in years. In rare instances, a publisher has elected to have a "zero" moving wall, so their current issues are available in JSTOR shortly after publication.
Note: In calculating the moving wall, the current year is not counted.
For example, if the current year is 2008 and a journal has a 5 year moving wall, articles from the year 2002 are available.

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ISSN: 00219118

EISSN: 17520401

Subjects: Asian Studies, Area Studies

Collections: Arts & Sciences I Collection, Asia Collection, JSTOR Essential Collection

I'm expanding my Polo Club of Data Science research group to work on human-centered AI! Apply to our CS/CSE PhD program. Strong interest and experience in visualization, HCI, deep learning, machine learning, or data mining are big pluses!

Funding & Support
Our research made possible by support and funding from: NSF (CNS1704701, IIS1563816, IIS1551614, TWC1526254, IIS1217559), NIH (1-U54EB020404-01), DARPA, Children's Healthcare of Atlanta, Google, Symantec, Yahoo, Intel, Mircosoft, eBay, Amazon, LogicBlox, LexisNexis Dean's Award, James Edenfield Faculty Fellowship, Raytheon Faculty Fellowship

My research bridgesdata mining and human-computer interaction (HCI) to synthesize scalable, interactive tools that help people understand and interact with billion-scale graph datasets and machine learning models, with a focus on cybersecurity applications (e.g., fraud detection, malware detection, and adversarial machine learning). Notable projects:

Apolo and Facets: mixed-initiative system (ML+vis) for making sense of large network data (watch a demo), by helping users incrementally find relevant and interestingly surprising subgraphs to explore, avoids overwhelming them.

ActiVis: visual exploration of deep neural networks, deployed on Facebook's ML platform (VAST'17).

Visage: interactive visual graph querying, without writing complex code (see Visage in action); won SIGMOD'17 best demo, honorable mention. Vigor summarizes query results (VAST'17).

Polonium and Aesop: malware detection using machine learning, over massive graph with 37 billion machine-file relationships; protects 120 million Symantec machines worldwide; both patented and deployed.

Marco and NetProbe: award-winning fake review detection (SDM'14) and auction fraud detection (eBay) that fingers bad guys by identifying their suspicious transactions (appeared in Wall Street Journal, USA Today, and more

Firebird: award-winning (KDD'16), open-source project, helping Atlanta Fire Rescue Department predict fire risk and prioritize fire inspections.

GLO-STIX: fundamental building blocks for summoning sophisticated graph visualization on demand.

KDD workshop on Interactive Data Exploration and Analytics (IDEA): 2013, 2014, 2015, 2016, 2017

Google Faculty Research Award.

Outstanding Junior Faculty Research Award. College of Computing, Georgia Tech.

Wearable Computing Center Mentoring Grant for CS undergraduate students Nathan Dass and Samuel Clarke

Recipient of "Thank-a-Teacher" where students honor great teachers.

Carnegie Mellon School of Computer Science Dissertation Award, Honorable Mention

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

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.

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.

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.

Winner, Symantec research competition (internal).

Best Presentation Award, 3rd Place, PKDD'06.

Google, Ads Backend Team   Mountain View, CA
Ph.D. Software Engineer Intern   Mentor: Dr. Arun Swami

Symantec Research Labs   Los Angeles, CA
Ph.D. Research Intern   Mentor: Mr. Carey Nachenberg

Symantec Research Labs   Los Angeles, CA
Ph.D. Research Intern   Mentor: Mr. Darren Shou

Carnegie Mellon University, Human-Computer Interaction Institute   Pittsburgh, PA
Research Associate   Supervisor: Prof. Brad Myers

The Chinese University of Hong Kong, Lightwave Communications Lab     Hong Kong
Undergraduate Research Assistant

Data and Visual Analytics. CSE 6242 A, Q / CX 4242 A, Spring 2017. Georgia Tech. 214 students (29 UG)

Bee-Snap, an undergraduate cross-semester VIP project course (Vertically Integrated Projects). ECE-2811-VV4, ECE-3811-VV4, ECE-3812-VV4, ECE-4811-VV4, ECE-4812-VV4. Fall'16. Georgia Tech. 14 students. Analyzes bee-flower interactions data at Georgia Tech and Atlanta for pollinator health. Co-taught with Jennifer Leavey, Bistra Dilkina, Jason Reidy.

Data and Visual Analytics. CSE 6242 A, Q / CX 4242 A, Spring 2016. Georgia Tech. 187 students (32 UG)

Bee-Snap, an undergraduate VIP project course. ECE-2811-VV4, ECE-3811-VV4, ECE-3812-VV4, ECE-4811-VV4, ECE-4812-VV4. Spring'16. Georgia Tech. 18 students. Co-taught with Jennifer Leavey, Bistra Dilkina, Jason Reidy.

Data and Visual Analytics. CSE 6242 A, Q, Q3 / CX 4242 A, Fall 2015. Georgia Tech. 146 students (32 UG)

Bee-Snap, an undergraduate VIP project course. ECE-2811-VV4, ECE-3811-VV4, ECE-3812-VV4, ECE-4811-VV4, ECE-4812-VV4. Fall'15. Georgia Tech. 10 students. Co-taught with Jennifer Leavey, Bistra Dilkina, Jason Reidy.

Data and Visual Analytics. CSE 6242 A, Q, Q3 / CX 4242 A, Spring 2015. Georgia Tech. 113 students (17 UG)

Data and Visual Analytics. CSE 6242 A, Q, Q3 / CX 4242 A, Fall 2014. Georgia Tech. 118 students (17 UG)

Data and Visual Analytics, CSE 6242 A, Q3 / CX 4242 A, Spring 2014. Georgia Tech. 96 students (19 UG).

Introduction to Computational Science and Engineering. CSE 6001, Fall 2013, Georgia Tech. Co-taught with Rich Vuduc.

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.

Information Visualization (CS7450). Instructor: Prof. Alex Endert. Fall 2014. Georgia Tech.

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.

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.

The Internet of Things (IoT) Joins the Enterprise: Strategies for Managing & Using All That Data. All Analytics Academy.

Catching Bad Guys with Graph Mining and Visualization. Center of Academic Excellence (NSA)

Graph Mining meets Human-Computer Interaction. DIMACS REU Tutorial. Rutgers University.

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.

Latest & Greatest
selected from full list below

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ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models. Minsuk Kahng, Pierre Andrews, Aditya Kalro, Duen Horng (Polo) Chau. IEEE Transactions on Visualization and Computer Graphics (Proc. VAST'17), Jan 2018. . [21% acceptance rate]

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VIGOR: Interactive Visual Exploration of Graph Query Results. Robert Pienta, Fred Hohman, Alex Endert, Acar Tamersoy, Kevin Roundy, Chris Gates, Shamkant Navathe, Duen Horng (Polo) Chau. IEEE Transactions on Visualization and Computer Graphics (Proc. VAST'17), Jan 2018. [21% acceptance rate]

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Predicting Cyber Threats with Virtual Security Products. Shang-Tse Chen, Yufei Han, Duen Horng (Polo) Chau, Christopher Gates, Michael Hart, Kevin A. Roundy. Annual Computer Security Applications Conference (ACSAC) 2017.

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3D Exploration of Graph Layers via Vertex Cloning. James Abello, Fred Hohman, Duen Horng (Polo) Chau. Poster Abstract, IEEE VIS 2017.

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Visual Graph Query Construction and Refinement. Robert Pienta, Fred Hohman, Acar Tamersoy, Alex Endert, Shamkant Navathe, Hanghang Tong, Duen Horng Chau. SIGMOD 2017. May 14-19, 2017. Chicago, IL, USA.

Best Demo, Honorable Mention

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mHealth Visual Discovery Dashboard. Dezhi Fang, Fred Hohman, Peter Polack, Hillol Sarker, Minsuk Kahng, Moushumi Sharmin, Mustafa al'Absi, Duen Horng (Polo) Chau. Demo, ACM International Joint Conference on Pervasive and Ubiquitous Computing (UBICOMP) Sept 11-15, 2017. Maui, USA.

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Chronodes: Interactive Multi-focus Exploration of Event Sequences. Peter J. Polack, Shang-Tse Chen, Minsuk Kahng, Kaya De Barbaro, Rahul Basole, Moushumi Sharmin, Duen Horng (Polo) Chau. ACM Transactions on Interactive Intelligent Systems (TiiS) Special Issue on Interactive Visual Analysis of Human and Crowd Behaviors. 2018.

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YouTube
GitHub

ShapeShop: Towards Understanding Deep Learning Representations via Interactive Experimentation. Fred Hohman, Nathan Hodas, Duen Horng (Polo) Chau. Extended Abstracts, CHI 2017 May 6-11, 2017. Denver, CO, USA.

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Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression. Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Li Chen, Michael E. Kounavis, Duen Horng Chau. arXiv.

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Carina: Interactive Million-Node Graph Visualization using Web Browser Technologies. Dezhi (Andy) Fang, MaŠhew Keezer, Jacob Williams, Kshitij Kulkarni, Robert Pienta, Duen Horng (Polo) Chau. 26th International World Wide Web Conference (WWW) 2017 Companion. April 3-7, 2017. Perth, Australia.

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Facets: Adaptive Local Exploration of Large Graphs. Robert Pienta, Minsuk (Brian) Kahng, Zhiyuan Lin, Jilles Vreeken, Partha Talukdar, James Abello, Ganesh Parameswaran, Duen Horng (Polo) Chau. SIAM International Conference on Data Mining (SDM) 2017. April 27-29, 2017. Houston, Texas.

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Presentation
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Firebird: Predicting Fire Risk and Prioritizing Fire Inspections in Atlanta. Michael Madaio, Shang-Tse Chen, Oliver Haimson, Wenwen Zhang, Xiang Cheng, Matthew Hinds-Aldrich, Duen Horng (Polo) Chau, Bistra Dilkina. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2016. San Francisco, CA. Aug 13-17, 2016.

Won Best Student Paper award, runner up.

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[ETable] Interactive Browsing and Navigation in Relational Databases. Minsuk Kahng, Shamkant B. Navathe, John T. Stasko, Duen Horng (Polo) Chau. VLDB 2016. New Delhi, India. Sept 5-9, 2016.

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VISAGE: Interactive Visual Graph Querying. Robert Pienta, Acar Tamersoy, Alex Endert, Shamkant B. Navathe, Hanghang Tong, Duen Horng (Polo) Chau International Working Conference on Advanced Visual Interfaces (AVI 2016). June 7-10, 2016. Bari, Italy.

Book Chapters

Exploratory Visual Analytics of Mobile Health Data: Sensemaking Challenges and Opportunities. Peter J Polack Jr, Moushumi Sharmin, Kaya de Barbaro, Minsuk Kahng, Shang-Tse Chen, and Duen Horng Chau. Mobile Health: Sensors, Analytic Methods, and Applications. Springer. 2017.

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.

Journal

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Chronodes: Interactive Multi-focus Exploration of Event Sequences. Peter J. Polack, Shang-Tse Chen, Minsuk Kahng, Kaya De Barbaro, Rahul Basole, Moushumi Sharmin, Duen Horng (Polo) Chau. ACM Transactions on Interactive Intelligent Systems (TiiS) Special Issue on Interactive Visual Analysis of Human and Crowd Behaviors. 2018.

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ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models. Minsuk Kahng, Pierre Andrews, Aditya Kalro, Duen Horng (Polo) Chau. IEEE Transactions on Visualization and Computer Graphics (Proc. VAST'17), Jan 2018. . [21% acceptance rate]

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VIGOR: Interactive Visual Exploration of Graph Query Results. Robert Pienta, Fred Hohman, Alex Endert, Acar Tamersoy, Kevin Roundy, Chris Gates, Shamkant Navathe, Duen Horng (Polo) Chau. IEEE Transactions on Visualization and Computer Graphics (Proc. VAST'17), Jan 2018. . [21% acceptance rate]

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Search Rank Fraud and Malware Detection in Google Play. Mahmudur Rahman, Mizanur Rahman, Bogdan Carbunar, Duen Horng Chau. IEEE Transactions on Knowledge and Data Engineering (TKDE) 29(6), 1329. 2017

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Constraint based temporal event sequence mining for Glioblastoma survival prediction. Kunal Malhotra, Shamkant Navathe, Duen Horng Chau, Costas Hadjipanayis and Jimeng Sun. Journal of biomedical informatics, 16, 267-275. 2016

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Center of excellence for mobile sensor Data-to-Knowledge (MD2K). Santosh Kumar, Gregory D. Abowd, William T. Abraham, Mustafa al’Absi, J. Gayle Beck, Duen Horng Chau, Tyson Condie, David E. Conroy, Emre Ertin, Deborah Estrin, Deepak Ganesan, Cho Lam, Benjamin Marlin, Clay B. Marsh, Susan A. Murphy, Inbal Nahum-Shani, Kevin Patrick, James M. Rehg, Moushumi Sharmin, Vivek Shetty, Ida Sim, Bonnie Spring, Mani Srivastava and David W. Wetter. Journal of the American Medical Informatics Association (JAMIA) Jul 2015. DOI: 10.1093/jamia/ocv056

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Node Immunization on Large Graphs: Theory and Algorithms. Chen, C. and Tong, H. and Prakash, B.A. and Tsourakakis, C. and Eliassi-Rad, T. and Faloutsos, C. and Chau, D.H. IEEE Transactions on Knowledge and Data Engineering (TKDE), 28(1), 113-126. 2015

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To Catch a Fake: Curbing Deceptive Yelp Ratings and Venues. Mahmudur Rahman, Bogdan Carbunar, Jaime Ballesteros, Duen Horng (Polo) Chau. Statistical Analysis and Data Mining: The ASA Data Science Journal, 8(3), 147-161. 2015.

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Understanding variations in pediatric asthma care processes in the emergency department using visual analytics. Rahul C. Basole, Mark L. Braunstein, Vikas Kumar, Hyunwoo Park, Minsuk Kahng, Duen Horng (Polo) Chau, Acar Tamersoy, Daniel A. Hirsh, Nicoleta Serban, James Bost, Burton Lesnick, Beth L. Schissel, Michael Thompson. Journal of the American Medical Informatics Association (JAMIA) 2015. DOI: 10.1093/jamia/ocu016

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GitHub

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, 20(12), 2320-2328. 2014.

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SharkFin: Spatio-temporal mining of software adoption and penetration. Evangelos E. Papalexakis, Tudor Dumitras, Duen Horng Chau, B. Aditya Prakash, Christos Faloutsos. Social Network Analysis and Mining (SNAM), 4(1), 1-15. 2014.

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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.

Conference

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Predicting Cyber Threats with Virtual Security Products. Shang-Tse Chen, Yufei Han, Duen Horng (Polo) Chau, Christopher Gates, Michael Hart, Kevin A. Roundy. Annual Computer Security Applications Conference (ACSAC) 2017.

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Analysis of Smoking and Drinking Relapse in an Online Community. Acar Tamersoy, Munmun De Choudhury, Duen Horng Chau. 7th International conference on Digital Health 2017. July 2-5, 2017. London.

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Facets: Adaptive Local Exploration of Large Graphs. Robert Pienta, Minsuk (Brian) Kahng, Zhiyuan Lin, Jilles Vreeken, Partha Talukdar, James Abello, Ganesh Parameswaran, Duen Horng (Polo) Chau. SIAM International Conference on Data Mining (SDM) 2017. April 27-29, 2017. Houston, Texas.

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Presentation
Citation

Firebird: Predicting Fire Risk and Prioritizing Fire Inspections in Atlanta. Michael Madaio, Shang-Tse Chen, Oliver Haimson, Wenwen Zhang, Xiang Cheng, Matthew Hinds-Aldrich, Duen Horng (Polo) Chau, Bistra Dilkina. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2016. San Francisco, CA. Aug 13-17, 2016.

Won Best Student Paper award, runner up.

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Citation

[ETable] Interactive Browsing and Navigation in Relational Databases. Minsuk Kahng, Shamkant B. Navathe, John T. Stasko, Duen Horng (Polo) Chau. VLDB 2016. New Delhi, India. Sept 5-9, 2016.

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M-Flash Fast Billion-scale Graph Computation Using a Bimodal Block Processing Model. Hugo Gualdron, Robson Cordeiro, Jose Rodrigues, Duen Horng (Polo) Chau, Minsuk Kahng, U Kang. PKDD 2016. Sept 19–23, 2016. Riva del Garda, Italy.

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VISAGE: Interactive Visual Graph Querying. Robert Pienta, Acar Tamersoy, Alex Endert, Shamkant B. Navathe, Hanghang Tong, Duen Horng (Polo) Chau International Working Conference on Advanced Visual Interfaces (AVI 2016). June 7-10, 2016. Bari, Italy.

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FairPlay: Fraud and Malware Detection in Google Play. Mahmudur Rahman, Mizanur Rahman, Bogdan Carbunar, Duen Horng Chau. SIAM International Conference on Data Mining (SDM) 2016. May 5-7, 2016. Miami, Florida.

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Communication Efficient Distributed Agnostic Boosting. Shang-Tse Chen, Maria-Florina Balcan, Duen Horng Chau. 19th International Conference on Artificial Intelligence and Statistics (AISTATS 2016). May 9-11, 2016. Cadiz, Spain.

What’s Hot in Intelligent User Interfaces 2015 . Shimei Pan, Oliver Brdiczka, Giuseppe Carenini, Duen Horng Chau, Per Ola Kristensson. 13th AAAI Conference on Artificial Intelligence (AAAI) 2016. Feb 12–17, 2016. Phoenix, Arizona, USA.

Invited

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Characterizing Smoking and Drinking Abstinence from Social Media. Acar Tamersoy, Munmun De Choudhury and Duen Horng Chau. Proceedings of ACM Conference on Hypertext and Social Media (HT). September 1-5, 2015.

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explICU: A Web-based Visualization and Predictive Modeling Toolkit for Mortality in Intensive Care Patients. Robert Chen, Vikas Kumar, Natalie Fitch, Jitesh Jagadish, Lifan Zhang, William Dunn, Duen Horng Chau. 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Milano, Italy, August 25-29, 2015.

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Aurigo: an Interactive Tour Planner for Personalized Itineraries. Alexandre Yahi, Antoine Chassang, Louis Raynaud, Hugo Duthil, Duen Horng (Polo) Chau. ACM Conference on Intelligent User Interfaces (IUI). Atlanta, GA, USA. March 29 - April 1, 2015.

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Scalable Graph Exploration and Visualization: Sensemaking Challenges and Opportunities. Robert Pienta, James Abello, Minsuk Kahng, Duen Horng Chau. International Conference on Big Data and Smart Computing (BigComp). Jeju Island, Korea. February 9-12, 2015.

Invited

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GitHub

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]

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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.

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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.

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[AESOP] 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.

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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.

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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: Wired, engadget, gizmodo, Yahoo!, business chronicle, GT press release, and many more...

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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.

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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).

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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.

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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]

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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

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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]

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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]

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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]

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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]

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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]

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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]

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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.

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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]

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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]

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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]

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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]

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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]

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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]

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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

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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]

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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]

Edited Volumes

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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.

Workshop

Designing a Visual Analytics System for Industry-Scale Deep Neural Network Models. Minsuk Kahng, Pierre Y. Andrews, Aditya Kalro, Duen Horng (Polo) Chau. IEEE VIS'17 Workshop on Visual Analytics for Deep Learning.

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Scalable Architecture for Anomaly Detection and Visualization in Power Generating Assets. Paras Jain, Chirag Tailor, Sam Ford, Liexiao Ding, Michael Phillips, Fang Liu, Nagi Gebraeel, Duen Horng Chau. The 3rd IEEE International Workshop on High-Performance Big Data Computing (HPBDC, at IPDPS 2017). May 29, 2017. Orlando, Florida.

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[MLCube] Visual Exploration of Machine Learning Results using Data Cube Analysis. Minsuk Kahng, Dezhi Fang, Duen Horng (Polo) Chau. SIGMOD 2016 Workshop on Human-In-the-Loop Data Analytics (HILDA). Jun 26, 2016. San Francisco, USA.

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Building a Research Data Science Platform from Industrial Machines. Fang (Cherry) Liu, Fu Shen, Duen Horng Chau, Neil Bright and Mehmet Belgin. IEEE Big Data 2016 Workshop on Advances in Software and Hardware for Big Data to Knowledge Discovery (ASH). Dec 5-8, 2016. Washington D.C.

Building a Data Science Platform from Scratch. Fang (Cherry) Liu, Fu Shen, Duen Horng (Polo) Chau, Paras Jain. Women in HPC Workshop at Super Computing (SC) 2016. Nov 13, 2016. Salt Lake City, USA.

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ISPARK: Interactive Visual Analytics for Fire Incidents and Station Placement. Subhajit Das, Andrea McCarter, Joe Minieri, Nandita Damaraju, Sriram Padmanabhan and Duen Horng Chau. KDD 2015 Workshop on Interactive Data Exploration and Analytics (IDEA) Aug 10, 2015. Sydney, Australia.

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A Visual Analytics Approach to Understanding Care Process Variation and Conformance. Rahul C. Basole, Hyunwoo Park, Mayank Gupta, Mark L. Braunstein, Polo Chau, Michael Thompson, Vikas Kumar, Robert Pienta, Minsuk Kahng. 2015 Workshop on Visual Analytics in Healthcare. Oct 25, 2015. Chicago IL, USA.

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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.

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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.

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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.

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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.

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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

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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.

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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.

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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

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YouTube

3D Exploration of Graph Layers via Vertex Cloning. James Abello, Fred Hohman, Duen Horng (Polo) Chau. Poster Abstract, IEEE VIS 2017.

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Vimeo

Atomic Operations for Specifying Graph Visualization Techniques. Charles D. Stolper, Will Price, Matt Sanford, Duen Horng (Polo) Chau, John Stasko. Poster Abstract, IEEE VIS 2017.

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YouTube
GitHub

ShapeShop: Towards Understanding Deep Learning Representations via Interactive Experimentation. Fred Hohman, Nathan Hodas, Duen Horng (Polo) Chau. Extended Abstracts, CHI 2017 May 6-11, 2017. Denver, CO, USA.

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Carina: Interactive Million-Node Graph Visualization using Web Browser Technologies. Dezhi (Andy) Fang, MaŠhew Keezer, Jacob Williams, Kshitij Kulkarni, Robert Pienta, Duen Horng (Polo) Chau. 26th International World Wide Web Conference (WWW) 2017 Companion. April 3-7, 2017. Perth, Australia.

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Vimeo

Making Sense of Graph Query Results: Interactive Summarization and Exploration. Robert Pienta, Alex Endert, Shamkant Navathe, Duen Horng Chau. Poster Abstract, IEEE VIS 2016. Oct 23 - 28, 2016. Baltimore, Maryland, USA.

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Vimeo

NaturalMotion: Exploring Gesture Controls for Visualizing Time-Evolving Graphs. Samuel Clarke, Nathan Dass, Duen Horng Chau. Poster Abstract, IEEE VIS 2016. Oct 23 - 28, 2016. Baltimore, Maryland, USA.

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arXiv

M3: Scaling Up Machine Learning via Memory Mapping. Dezhi Fang, Duen Horng (Polo) Chau. SIGMOD/PODS’16.

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Generating Graph Snapshots from Streaming Edge Data. Sucheta Soundarajan, Acar Tamersoy, Elias Khalil, Tina Eliassi-Rad, Duen Horng Chau, Brian Gallagher and Kevin Roundy 25th International World Wide Web Conference 2016. Apr 11-15, 2016. Montreal, Canada

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Poster

STEPS: A Spatio-temporal Electric Power Systems Visualization. Robert Pienta, Leilei Xiong, Santiago Grijalva, Duen Horng Chau, Minsuk Kahng. ACM Conference on Intelligent User Interfaces (IUI). March 7-10, 2016. Sonoma, GA, USA.

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Effort-based Detection of Comment Spammers. Acar Tamersoy, Hua Ouyang and Duen Horng Chau 36th IEEE Symposium on Security and Privacy 2015. May 18-20, 2015. San Jose, CA, USA.

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Spotting Suspicious Reviews via (Quasi-)clique Extraction. Paras Jain, Shang-Tse Chen, Mozhgan Azimpourkivi, Duen Horng Chau and Bogdan Carbunar 36th IEEE Symposium on Security and Privacy 2015. May 18-20, 2015. San Jose, CA, USA.

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TimeStitch: Interactive Multi-focus Cohort Discovery and Comparison. Peter J. Polack, Jr., Shang-Tse Chen, Minsuk Kahng, Moushumi Sharmin, Duen Horng (Polo) Chau. Poster Abstract, IEEE VIS 2015. Oct 25 - 30, 2015. Chicago, IL, USA.

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AdaptiveNav: Adaptive Discovery of Interesting and Surprising Nodes in Large Graphs. Robert Pienta, Zhiyuan Lin, Minsuk Kahng, Jilles Vreeken, Partha P. Talukdar, James Abello, Ganesh Parameswaran, Duen Horng (Polo) Chau. Poster Abstract, IEEE VIS 2015. Oct 25 - 30, 2015. Chicago, IL, USA.

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Interactive Querying over Large Network Data: Scalability, Visualization, and Interaction Design. Robert Pienta, Acar Tamersoy, Hanghang Tong, Alex Endert, Duen Horng (Polo) Chau. ACM Conference on Intelligent User Interfaces (IUI). Atlanta, GA, USA. March 29 - April 1, 2015.

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Identifying Successful Investors in the Startup Ecosystem. Srishti Gupta, Robert Pienta, Acar Tamersoy, Duen Horng Chau, Rahul C. Basole. International Conference on World Wide Web (WWW) 2015, May 18 -22, 2015. Florence, Italy

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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.

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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.

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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.

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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.

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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.

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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

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YouTube

mHealth Visual Discovery Dashboard. Dezhi Fang, Fred Hohman, Peter Polack, Hillol Sarker, Minsuk Kahng, Moushumi Sharmin, Mustafa al'Absi, Duen Horng (Polo) Chau. Demo, ACM International Joint Conference on Pervasive and Ubiquitous Computing (UBICOMP) Sept 11-15, 2017. Maui, USA.

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YouTube

Visual Graph Query Construction and Refinement. Robert Pienta, Fred Hohman, Acar Tamersoy, Alex Endert, Shamkant Navathe, Hanghang Tong, Duen Horng Chau. SIGMOD 2017. May 14-19, 2017. Chicago, IL, USA.

Best Demo, Honorable Mention

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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

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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

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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

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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.

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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.

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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.

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.

Robert Pienta. CSE.
Spring 2013 - present.
Thesis: Adaptive Visual Network Analytics: Algorithms, Interfaces, and Systems for Exploration and Querying
Proposal: 4/6/16. Defense: 6/27/17

Abhijit Suprem. CS. Fall 2017.

Oliver Haimson. Ph.D. Informatics Department. UC Irvine. Co-adv: Bistra Dilkina, Matt Hinds-Aldrich. Summer 2015.

Wenwen Chang. Ph.D. City and Regional Planning. Co-adv: Bistra Dilkina, Matt Hinds-Aldrich. Summer 2015.

Can Hantas. Co-adv: Sham Navathe. Spring 2014

Kaeser Puryear Sabrin. CS. Fall, 2013.

Wei (Tina) Zhou. IC. Adv: Jarek Rossignac. Spring 2013 - Fall 2013.

Bo Xie. CSE. Fall 2012 - Spring 2013.

Nilaksh Das. MS CSE. Spring 2017

Chirag Tailor. MS CS. Summer 2016 - Spring 2017.

Michael Phillips. MS Analytics. Fall 2016.

Apurv Verma. MS CS. Spring 2016.

Antoine Chassang. MS CS. Summer 2014 - Spring 2015

Ergin John (EJ) Ozyazgan, Walton high school. Spring 2015 - Summer 2015.

Yili Hui. CS. Fall 2017 - present.

Joseph Spall. CS. Fall'17.

Michael Aki. CS. Fall'17.

D'arcy (Quintin) W Roper. CS. Fall'17.

Jake Williams. CS. Spring 2016 - Spring 2017.

Fu Shen. CS. Summer 2016. Co-adv: Fang (Cherry) Liu.

Neil Goel. CS. Fall 2015.

Mika Munch. CS. Fall 2015.

Sam Ford. CS. Summer 2015 - Fall 2017.

Ryan Birmingham. CS. Summer - Fall 2015.

Rupert Wu. CS. Summer 2015 - Fall.

Arman Rye. ISyE. Fall 2014 - Spring 2015.

Gustavo Oliver. ISyE. Fall 2014 - Spring 2015.

Samarth Agarwal. CS. Spring 2013.

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

Undergraduate Research Kaleidoscope. Jointly hosted by Georgia Tech Library and the Undergraduate Research Opportunities Program.

Rutgers University. Host: James Abello

Southern Data Science Conference, Atlanta.

Machine Learning meets Visualization: Human-machine Sensemaking of Large Network Data

Centers for Disease Control and Prevention (CDC), Atlanta. Host: Robin Wagner.

Machine Learning Data Analysis Webminar. South Big Data Hub.

Carnegie Mellon University, Human-computer Interaction Institute (HCII) Seminar Series. Host: Brad Myers, Queenie Kravitz

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