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DMML Group Pictures                        ASU Computer Science Ranking
   
Fall 2009 Orientation DMML Slides        For a prospective student, you can get a sample of me at KDD08 Tutorial

Funded Projects

  • III:Small: Discovering and Characterizing Implicit Links in Graph Data, $495,123, NSF (#1614576), 10/01/2016 - 09/30/2019.
  • II-NEW: GEARS - An Infrastructure for Energy-Efficient Big Data Research on Heterogeneous and Dynamic Data, $750,000, NSF (#1629888), 09/01/2016 - 08/31/2019. PI: Ming Zhao; Co-PIs: Fengbo Ren, Hasan Davulcu, Huan Liu, and K. Selcuk Candan.
  • TweetTracker Interface Adapter Design Support and Evaluation, Progeny Systems Corporation, $124,069, 08/10/2016 - 07/05/2018.
  • CDS&E/Collaborative Research: DataStorm: A Data Enabled System for End-to-End Disaster Planning and Response, $692,774, NSF (#1610282), 08/01/2016 - 07/31/2019. PI: K. Selcuk Candan; Co-PIs: Huan Liu, Ming Zhao, and Pitu Mirchandani.
  • Intelligent Analysis of Big Social Media Data for Crisis Tracking, $450,000, ONR (N00014-16-1-2257), 02/01/2016 - 12/31/2017.
  • Research Area 5.3.3: Sybil-Resilient Influence Measurement in Microblogging Systems, $450,000, ARO (W911NF-15-1-0328), 7/15/2015 - 7/14/2018, Co-PI, 40% (PI: Yanchao Zhang).
  • Social Media Characterization, NSI, $70,000, 04/15/2014 - 07/31/2015.
  • Social Media Analytics for Bots, Charles River/SBIR, $45,000, 7/6/2015 - 11/06/2016.
  • Disaster Preparation and Response via Big Data Analysis and Robust Networking, $300,000, NSF, 3/1/2015 - 2/28/2018, Co-PI, 40% (PI: Guoliang Xue)
  • Developing Novel Auxiliary Technologies for Crisis Tracking, $750,000, ONR (N000141410095), 1/1/2014 - 12/31/2015
  • Computational Exploration of Noise in Social Media, $50,000, ARO-STIR, 8/15/2013 - 5/30/2014, Co-PI, 50% (PI: Guoliang Xue)
  • Multi-Source Assessment of State Stability, $449,070, the Department of Defense under the MINERVA initiative through the ONR N000141310835, 6/1/2013 - 5/31/2018
  • Content Analysis of Social Media, $47,695, FleishmanHillard, 8/1/2013 - 11/30/2013
  • Modeling of Complex Systems: Mining Suspicious Tiny Sub-Networks in a Massive Social Network, $75,000, UIUC, 6/1/2013 - 11/30/2014
  • Multi-Source Assessment of State Stability, $449,070, CMU/Minerva, 6/1/2013 - 5/31/2018
  • REU: III: Small: Transforming Feature Selection to Harness the Power of Social Media, $15,998, associated with NSF (IIS-1217466), 9/1/2012 - 8/31/2015
  • III: Small: Transforming Feature Selection to Harness the Power of Social Media, $410,389, NSF (IIS-1217466), 9/1/2012 - 8/31/2015
  • High-School Apprenticeship Program (HSAP) Research: Information Provenance for Social Media, $6,114, 2013, associated with ARO(\#25071)
  • CASP: Center for Humanitarian and Social Media Data Storage and Processing, $97,980, DURIP, ONR (N000141210808), 2012
  • High-School Apprenticeship Program (HSAP) Research: Information Provenance for Social Media, $9,342, associated with ARO(#25071), 2012.
  • ARO SBP 12-13 Sponsorship for International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction, $13,600,  Grant No.: W911NF-12-1-0119. 3/13/2012 - 11/12/2013.
  • Assessing Trustworthiness in Social Media: A Social Computing Approach, ARO (#025071), 11/01/2011 - 10/31/2014.
  • CPS:Medium: GoingEasy with Crowdsourcing - Building Cyber-Physical Systems for People with Visual Impairment, NSF (#1135616), Co-PI (PI: Baoxin Li), 10/01/2011 - 09/30/2015.
  • NIH SBP 11-14 Sponsorships - International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction, $94,073, Award No.: R13 GM097967, 03/04/2011 - 02/28/2015.
  • The Role of Social Media in Trusted Collaboration for Disaster Relief, ONR (N000141110527), 03/01/2011 - 2/26/2014.
  • Developing a Cultural Analysis and Sociological Network Theory for Understanding Virtual Communities and Their Intrinsic Relationships on the Web, UH/AFOSR (FA9550-09-1-0261), 02/15/2009 - 11/30/2011.
  • Online Social Behaviors and Prediction of Their Implication for the Physical World - A Comparative Study, UH/ONR (N00014-09-1-0805), 06/01/2009 - 11/30/2011
  • BlogTrackers: Analyzing Social Media for Cultural Modeling, ONR (N000141010091), 05/01/2010 - 12/30/2013.
  • III-Medium: A Machine Learning Approach to Computational Understanding of Skill Criteria in Surgical Training, NSF (#001319), 07/15/2009 - 06/30/2013, co-PI, (PI: Baoxin Li).
  • SBP09 Workshop Sponsorships: NIH (R13GM087995), NSF (0908506), ONR (N00014-09-1-0450), 2009
  • A Collective-Computation Approach to Prognostics Health Management, NASA (NNX08AY51A), 9/2008 - 8/2009
  • III-COR-Small: Beyond Feature Selection and Extraction - An Integrated Framework for High-Dimensional Data of Small Labeled Samples, NSF (#0812551),  PI (50%), Co-PI: Jieping Ye, 9/2008 - 8/2012.
  • DHS COE in Border Security and Immigration - Effective Reduction of High False Alarm Rates, (UA/DHS), 7/1/2008 - 6/30/2011 
  • Modeling Group Interaction via Open Data Sources, AFOSR (FA95500810132) , 3/2008 - 2/2011
  • BlogTrackers: Combining Domain Knowledge and Novel Search Capabilities for Assessing Political Risks, ONR (N000140810477), 1/2008 - 11/2008
  • Link Mining of Textual Data, MITRE, 9/2007-9/2008
  • DeepSearch for for Modeling Group Interaction Using Open Data Sources, Air Force Research Labs, 8/2007 - 12/2007
  • Enhanced Data Accessibility Using Web Services Technology, Arizona Water Institute, 1/2007 - 12/2007, Co-PI
  • Environmental and Economic Impacts of Material Used in Future Urban Development,  Arizona Science Foundation,
    1/2007 - 12/2007, Co-PI
  • Enabling the Study of Long-Term Human and Social Dynamics, 9/2004 - 8/2005, NSF (BTS 0022), Co-PI
  • Modeling Driving Data, Motorola, 5/2004 - 8/2004.
  • Streaming Data Extraction, CEINT, 1/1/2004
  • Intelligent Driving Data Analysis, Motorola, 1/1/2003
  • A Collaborative Project: Development of An Undergraduate Data Mining Course, NSF (DUE: 0231448), 1/1/2003
  • Intelligent Data Extraction in an Automobile Environment, IMES/FORD, 9/15/2002
  • Feature Selection Taxonomy, NSF (IIS: 0127815), 8/1/2001
  • Image Mining - Detecting Egeria, SFSU, 1/1/2001

Graduate Students

Highly motivated and qualified PhD students are always welcome to join our data mining research group.

Preferences are given to the students who are taking or have taken my courses because of the needed training.

We strive to make impact by performing persistent and innovative research and by working on challenging real-world problems. All students are expected to be self-motivated, hard-working, and creative team-players who produce quality work and publish their work in highly ranked conferences and journals. The former graduated students are now professors in research universities, employed by IT companies (Google, Honeywell, Microsoft, Yahoo, Amazon, among others) , work at research institutions, or as independent entrepreneurs/consultants. 

If you are seriously considering data mining and machine learning as your research directions, please send me email to make an appointment for interview. Please include "Data Mining and Machine Learning" in your email subject to warrant a  reply to your email inquiry.

Some useful links:

Undergraduate Students at ASU

  • Christina Wilmot, Honors Thesis, Fall 2016 -
  • Andrew Dudley, Fall 2016
  • Daniel Baird, research preparation for FURI, Fall 2016 -
  • Kian Fakhri, Honors Thesis, Spring 2016 -
  • Lewis Ruskin, Honors Thesis, Spring 2016 -
  • Grant Marshall, REU Student December 2011 - Spring 2015; Honors Thesis, Fall 2014 - Spring 2015
  • Daniel Howe, REU Student Summer 2013 - Summer 2015
  • Mark Karlsrud, Honors Thesis, Fall 2014 - Spring 2015
  • Lisa Baer, Fall 2013 - Spring 2014
  • Aaron Mattson, Fall 2012 - Spring 2013 (Honor's Thesis, 2nd Reader)
  • Garret Walliman, Fall 2012 - Spring 2013 (Honor's Thesis, 2nd Reader)
  • Luke Pirtle, Summer 2012 - January 2013
  • Shantanu Bala, January 2012 - August 2012
  • Lin Yang, Fall 2011 - Spring 2012
  • Patrick Mcinerney, Honors, Intelligent Data Collection with iPad, Fall 2010 - Spring 2011
  • Fred Morstatter, Feature Selection, Fall 2009 - Spring 2011
  • Patrick Krecker, Honors, Social Media Data Crawling, Fall 2009 - Spring 2010
  • David Weber, Honors, co-supervised with Professor Violet R. Syrotiuk, Social Network Analysis Fall 2008-Spring 2009

Graduate Students at ASU

  • Fred Morstatter, Ph.D., Fall 2011
  • Philippe Christophe Faucon, Ph.D., Fall 2011
  • Isaac Jones, Ph.D., Fall 2012
  • Suhas Ranganath, Ph.D., Spring 2013
  • Suhang Wang, Ph.D., Spring 2014
  • Tahora Hossein Nazer, Ph.D., Spring 2014
  • Jundong Li, Ph.D., Fall 2014
  • Liang Wu, Ph.D., Fall 2014
  • Ghazaleh Beigi, Ph.D., Fall 2014
  • Kai Shu, Ph.D., Fall 2015
  • Justin Sampson, Ph.D., Spring 2016

PhD Students graduated at ASU (Mathematics Genealogy Project)

  • Lei Yu, PhD, Redundancy-based Feature Selection for High-Dimensional Data and Application in Bioinformatcis; SUNY Binghamton, Tenure Track, July 2005; Outstanding Ph.D. Student in CSE, ASU, April 2005.
  • Nitin Agarwal, PhD, Social Computing in Blogosphere, July 2009; UALR, Tenure Track, August 2009; Outstanding Ph.D. Student Finalist in SCI, ASU in April 2009.
  • Sai Moturu, PhD, Quantifying the Trustworthiness of User-Generated Social Media Content, July 2009; Post Doc jointly funded by DMML, ASU and Media Lab, MIT, August 2009; Best Student Paper Award at HealthInfo2008.
  • Zheng Alan  Zhao, PhD, Spectral Feature Selection, SAS, July, 2010 (co-chair with Jieping Ye); Outstanding Ph.D. Student in CSE, ASU, 2008
  • Lei Tang, PhD, Learning with Large-Scale Social Media Networks, Yahoo! Labs, August 2010
  • Geoffrey Barbier, PhD, Provenance Data in Social Media, AFRL, November 2011
  • Xufei Wang, PhD, Connecting Users with Similar Interests for Group Understanding, LinkedIn, April 2013
  • Salem Alelyani, PhD, On Feature Selection Stability - A Data Perspective, King Khalid University, Abha, Asir, Saudi Arabia, Assistant Professor, April 2013
  • Ali Abbasi, Ph.D. Understanding Social Media Users vis Attributes and Links, November, 2014. Quid, January 2015
  • Huiji Gao, Ph.D. Personalized POI Recommendation on Location-Based  Social Networks, November 2014, 2014. LinkedIn, January 2015
  • Jiliang Tang, Ph.D., Computing Distrust in Social Media, Feb 2015. Yahoo Labs. (i) Outstanding Computer Science PhD Student in CIDSE Award (May 1, 2015), (ii) Fulton Schools of Engineering Dean's Disseration Award (May 13, 2015), and (iii) ACM SIGKDD2015 Doctoral Dissertation Award Runner Up.
  • Pritam Gundecha, Ph.D., Managing User's Vulnerability on a Social Networking Site, March 2015. IBM Research Almaden
  • Shamanth Kumar, Ph.D., Social Media Analytics for Crisis Response, April 2015. Castlight Health. Shamanth's dissertation featured by IEEE Signal Processing society eNews in the Year 2015.
  • Xia Ben Hu, Ph.D., Mining Content and Relations for Social Spammer Detection, April 2015. Outstanding Graduate Student Award in Fulton Scuools of Engineering (May 13, 2015). Tenure Track, Assistant Professor, Texas A&M University.
  • Reza Zafarani, Ph.D., Making Thin Data Thick: User Behavior Analysis with Minimum Information, May 2015. Tenure Track, Assistant Professor, Syracuse University.
  • Magdiel Galan, PhD, Leveraging Collective Wisdom in A MultiLabeled Blog Categorization Environment, July 2015. Intel.  
  • Yunzhong Liu, Ph.D., Patient-Centered and Experience-Aware Mining for Effective Information Discovery in Health Forums, co-supervised with Professor Yi Chen. June, 2016. LeEco US.
  • Robert (Rob) Trevino, Ph.D., Big Data Analysis of Bacterial Inhibitors in Paralleized Cellomics - A Machine Learning Approach,  August 2016. AFRL.
  • Somnath Shahapurkar, PhD, Crossing the Chasm: Deploying Machine Learning Analytics in Dynamic Real-World Scenarios, October 2016. FICO.

MS Students graduated at ASU

  • Reshma Suvarna, MS, Meta Data and Namespaces Spring 2001, co-supervised with Professor Selcuk Candan, graduated Spring 2003. Honeywell.
  • Jianhua Han, MCS, Automatic RDF Metadata Generation for Relational Databases, graduated in Spring 2002.
  • Deepak Kolippakkam, MS, View Validation for Image Mining, Spring 2002, graduated Fall 2003. The Fred Hutchinson Cancer Research Center and the Seattle Cancer Care Alliance.
  • Amit Mandvikar, MS, Active Learning for Image Mining, Spring 2002, graduated Fall 2003. Microsoft, Redmond.
  • Snehal Kundalkar, MCS, Intelligent Data Extraction, Fall 2002, graduated Fall 2003
  • Jigar Mody, MS, Selective Voting for Ensemble Methods, Spring 2003, graduated Spring 2004. Microsoft, Redmond.
  • Ehtesham Haque, MS, Subspace Search for Web Mining Applications, Summer 2003, graduated Fall 2004
  • Srihari Venkatesan, MS, Intelligent Driving Data Analysis, Spring 2003, graduated Fall 2004. Yahoo.
  • Magdiel Galan, MCS, Instance Selection for Stream Data , Summer, 2004, graduated Spring 2005.
  • Surendra Singhi, MS,  Selection Bias in Machine Learning, Summer 2004, graduated May 2006. Independent consultant.
  • Lance Parson, MS, Spring 2003, Integrated Learning from Microarrays - Discovering Subtypes of Glioblastoma, graduated Fall 2006. ASU.
  • Niyati Parikh, MS, Spring 2005,Sensor Networks: Decentralized Monitoring and Subspace Classification of Events, Fall 2006. Google.
  • Ashutosh Tiwari, MCS, Fall 2004, A Case Study of HRC Databases and Applications, Spring 2007
  • Payam Refaeilzadeh MS , Spring 2006, Evaluation Methodology for Comparing Feature Selection, Spring 2007, Microsoft, Redmond .
  • Sanjay Sundararajan, MCS, Spring 2007, Online Group Interaction Study. Graduated in Spring 2008. Progressive.
  • Shankar Bhargav Subramanya, MS, Fall 2006, View Completion and Collaborative Tagging in Blogosphere, co-supervised with Professor Baoxin Li. Graduated in July 2008. Amazon.com. 
  • Quan Nguyen, MCS, Fall 2006, Web Analytics and Mining.
  • Shashvata Sharma, MCS, Spring 2010, Feature Selection, Microsoft
  • Gayathri Varadarajan, MS, Fall 2010, A Data-Driven Framework for Prognostics.
  • William Cole, MS, Summer 2011, Sentiment Propagation in Social Media.
  • Aneeth Anand, MS, Spring 2012, Expanding Data Mining Theories for Industrial Applications.
  • Ashwin Rajadesingan, MS, Fall 2014, Detecting Sarcasm on Twitter: A Behavior Modling Approach
  • Ran Wang, MS, April 2015, Toward Small Community Discovery in Social Networks
  • Harsh Dani, MS, January 2017, Sentiment Informed Cyberbullying Detection in Social Media
  • Kewei Chen, MS, Spring 2017 -

PostDoc Scholars

  • Dr. Xia Ben Hu, May 2015 - August 2015
  • Dr. Uraz Yavanoglu, May 2015 - April 2016
  • Dr. Shamanth Kumar, May 2015 - June 2015
  • Dr. Zigang Huang (PPI Ying-Cheng Lai), June 2014 - July 2015
  • Dr. Zhuo Feng, May 2012 - Spring 2013
  • Dr. Peng Zhang (PI Baoxin Li), Spring 2012 - December 2013
  • Dr. Sai Moturu, Fall 2009 - Summer 2010
  • Dr. Gabriel Fung, Spring 2010 - Fall 2010

High School Students visiting or visited ASU(2016, 2013, 2012)

  • Ricky Hsu; Soumya Kambhamparti, Terry Wen, Daria Bazzi

Visiting Scholars at ASU

  • Xuying Meng, PhD student, Institute of Computing Technology, Chinese Academy of Sciences, September 2016 - March 2017
  • Dr. Uraz Yavanoglu, Gazi University, Turkey, May 2015 - April 2016
  • Augusto Andrade, PhD Candidate, Spring, Summer, and Fall 2011, University of São Paulo -- USP, Feature Selection for Clustering.
  • Zhuo Feng, PhD Candidate, Fall 2011 - Spring 2012, University of Arizona, Web Search.

Visiting Professors at ASU

  • Dr. Yinglong Zhang, East China Jiaotong University, Nanchang, Jiangxi, September, 2016- August, 2017
  • Dr. Tanatorn Tanantong, Rangsit University, Pathum Tani, Thailand, January - May 2016
  • Professor Ling Jian, China University of Petroleum, Qingdao, Shandong, September, 2015 - Augus,t 2016
  • Professor Jongwon Seok, Changwon National University, September 2014 - August 2015
  • Porfessor Zhen Yang, Beijing University of Technology, Feburary 2014 - March 2015
  • Professor Ying Wang, Jilin University, September 2013 - September 2014
  • Professor Guoyong Cai, Guilin University of Electronic Technology, January 2013 - July 2013
  • Professor Shijin Li, HoHai University, May 2012 - May 2013
  • Professor Yingzhou Bi, Guangxi Teacher Education University, Spring 2012 - Febuary 2013
  • Professor Yimin Wen, Guilin University of Electronic Technology, Spring 2012

Graduate Students at NUS