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DMML Group Pictures PhD Students at ASU

Fall 2009 Orientation DMML Slides        For a prospective student, you can get a sample of me at KDD08 Tutorial

Some Funded Projects

• DISCOVER: Decision Intelligence System for Causal Exploration and Verification. $449,999, DOD-ARMY (AMC W911NF-24-2-0175), 7/30/2024 - 7/29/2027.
• SaTC: EDU: AI for Cybersecurity Education via an LLM-enabled Security Knowledge Graph. $499,999, NSF SaTC (#2335666), 04/01/2024 - 03/31/2027 (40%). Co-PI: Ying-Chih Chen and Yuli Deng
• Elements: CausalBench: A Cyberinfrastructure for Causal-Learning Benchmarking for Efficacy, Reproducibility, and Scientific Collaboration. $599,905. NSF (#2311716), 07/01/2023 - 06/30/2026. PI: K. Selcuk Candan, Co-PI: Huan Liu (45%)
• III: SMALL: Graph Contrastive Learning for Few-Shot Node Classification. $599,987. NSF (#2229461), 01/01/2023 - 12/31/2025.
• High Performance Computing Cluster for NLP and Deep Learning Approaches to Understanding Social, Psychological, and Rhetorical Dimensions of Influence in Cross-Cultural Contexts. DURIP ONR (N00014-22-1-2291) 4/1/2022 - 3/31/2023. Scott Ruston (PI), Steven Corman (CoI), Huan Liu (CoI 33%) .
• Designing Nature to Enhance Resilience of built infrastructure in Western US Landscapes. $4,499,990. USACE, 9/24/2021 - 9/23/2024 .Xu, T., Pavlic, T., Mascaro, G., Maciejewski, R., Muenich, R., Liu, H. (CoI, 5%), Wutich, A., Candan, K. & Sefair, J.
• CC* Integration-Large: (BLUE) Software-Defined CyberInfrastructure to Enable Data-driven Smart Campus Applications. $500,000. NSF (#2126291), 09/01/2021 - 08/31/2023. PI: Dijiang Huang, Senior Personnel: Huan Liu (13%)
• EAGER: SaTC-EDU: Artificial Intelligence for Cybersecurity Education via a Machine Learning-Enabled Security Knowledge Graph. $300,000. NSF (#2114789), 5/1/2021 - 4/30/2024. PI: Dijiang Huang, Co-PIs: Huan Liu (25%) and Ying-Chih Chen
• Knowing the Unknown: Exploring the Space of Adversarial Attacks via Causal Learning. $300,000. AMC (ARO W911NF2110030 ), 4/1/2021 - 3/31/2024.
• SaTC: CORE: Small: Interdisciplinary Models to Identify and Understand Cyberbullying. $499,999. NSF (#2227488)  (replacing #2036127), 01/01/2021 - 12/31/2024. PI: Yasin N Silva, Co-PIs: Huan Liu and Deborah L. Hall.
• Social Media Research to Combat Disinformation and Foreign Influence. $1,200,000. ONR (N00014-21-1-4002), 12/11/2020 - 12/10/2024.
• Analytical Cognitive Enhancement Research (A-COGER). $350,000. AFRL (FA8650-15-D-6583/FA8650-17-F-6820), 8/14/2020 - 11/14/2022.
• Characterizing and Undstanding of Dynamic Time-Series Information for Decision Making: A Causal Learning Approach. $685,000, AMC (ARL W911NF2020124). 6/1/2020 - 5/31/2025.
• CCF: RAPID: Active Tracking of Disease Spread in COVID-19 Graph Predictive Analytics. $199,499,  NSF (#2029044), 5/1/2020 - 4/30/2021. PI: Gautam Dasarathy; Co-PIs: Douglas Cochran, Huan Liu (17%), and Pavan Turaga. ASU News
• III: Small: pCAR: Discovering and Leveraging Plausibly Causal (p-causal) Relationships to Understand Complex Dynamic Systems, $493,466, NSF (#1909555), 10/1/2019 - 9/30/2024. PI: K. Selcuk Candan, Co-PI: Huan Liu
• III:Small: Discovering and Characterizing Implicit Links in Graph Data, $495,123, NSF (#1614576), 10/01/2016 - 09/30/2020.
• Developing Novel Socio-Computational Methodologies to Analyze Multimedia-based Cyber Propaganda Campaigns, $210,400, UALR, 06/01/2017 - 2/28/2019. ONR N00014-17-1-2605
• 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 - 7/05/2019.
• 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 - 12/14/2018, Co-PI, 40% (PI: Yanchao Zhang).
• 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 (#1461886), 3/1/2015 - 2/28/2019, Co-PI, 40% (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 - 7/30/2018

[Show Completed Projects]

• Developing Novel Auxiliary Technologies for Crisis Tracking, $750,000, ONR (N000141410095), 1/1/2014 - 12/31/2015
• Social Media Characterization, NSI, $70,000, 04/15/2014 - 07/31/2015.
• Computational Exploration of Noise in Social Media, $50,000, ARO-STIR, 8/15/2013 - 5/30/2014, Co-PI, 50% (PI: Guoliang Xue)
• 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 and machine learning (DMML) lab.

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, creative, and competitive 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, Airbnb, Nvidia, Microsoft, LinkedIn, Airbnb, Amazon, Intel, among others), work at leading research institutions or start-ups, or as independent entrepreneurs/consultants. 

If you are seriously considering our research as your research directions at ASU, the best way is to take my CSE472 course as it will prepare you well for starting meaningful research. If you send me email, please include "Data Mining and Machine Learning" in your email subject.

Some useful links:

• Good Writing by Marc H. Raibert
• What I wish I had known early in graduate school but didn't (and hot to prepare for a good job aftward), by Sven Koenig
• Some Modest Advice for Graduate Students, by Stephen C. Stearns
• Ten Simple Rules for Graduate Students, Jenny Gu and Philip E Bourne
• Stephen Jay Gould's Wonderful Life, excerpt on Graduate School
• How to have a bad graduate student career by Patterson
• Dissertation Advice, by Olin Shivers
• You're What You Write, and You're How You Read (bilingual) by Harry Shum
• How to Read a Paper, by S. Keshav

Undergraduate Students at ASU

1. Nivedh Mudiam, FURI, Fall 2024 (Alimohammad Beigi)
2. Aryan Vinod Keluskar, FURI, Fall 2024 (Amrita Bhattacharjee)
3. Punit Sai Arani, Honors Contract CSE472, Fall 2023 (Amrita Bhattacharjee)
4. Shubh Khandelwal, Undergraudate Research Experience, Summer 2023 - Spring 2024, project assistant (Raha Moraffah)
5. Nivedh Mudiam, Undergraduate Research Experience, Spring 2023 (Zhen Tan)
6. Ishna Barwey, Honors Credit CSE 472, Fall 2022 (Bohan Jiang)
7. Jessica Hays, Honors Credit CSE472, Fall 2022 (Bohan Jiang)
8. Kiran Gershenfeld, Honors Directed Study CSE499, Fall 2022 (Ujun Jeong)
9. Aditya Rajeshbhai Boghara, Undergraduate Research Experience, Fall 2022 (Zhen Tan)
10. Colin Finnegan, Honors, ``An Exploration of Echo Chambers" Spring 2022 (Faisal Alatawi)
11. Mertay Dayanc, FURI, Spring 2021, ``Understanding Machine vs Human Generated Text in News Articles", (David A Mosallanezhad)
12. David Zhou, FURI, Spring 2021, ``A Systematic Study of COVID-19 Pooled Tests", (Kaize Ding)
13. Ariz Chang, Honors, ``Using Machine Learning Models to Detect Fake News, Bots, and Rumors on Social Media", Spring 2021 (Anique Tahir)
14. David Syms, November 2020 - (Tharindu Kumarage)
15. Mohit Doshi, ASU/NASA Space Grant Program, ``Exoplanet Classification using Data Mining to Detect Habitable Worlds", Fall 2020 (Kaize Ding). ASU FSE 2021 Impact Award Winner, Computer Science
16. Suyu Ge, Summer Intern from Tsinghua U, Summer 2020 (Lu Cheng)
17. Raphael David, FURI, REU Summer 2020 (Paras Sheth, Kai Shu)
18. Ryan Schwartz, NSF REU, Summer 2020 (Raha Moraffah)
19. Qiang Fu, FURI, Summer 2020 (Raha Moraffah)
20. Connor Aitken, Honors, Fall 2018 - Spring 2019 (Isaac Jones)
21. Matthew Davis, Honors, Spring 2018 - Fall 2018 (Tahora Nazer); NSF REU, Fall 2018; FURI, Summer and Fall 2018;
22. Jennifer Berumen, NSF REU, Fall 2017 - Spring 2018; FURI, Fall 2018 - Spring 2019;
23. Marcus Stilwell, FURI, Fall 2018;
24. Alex Nou, Summer 2017 - ; FURI, Spring 2018; Honors, Fall 2018 - Spring 2019 (Ghazaleh Beigi)
25. Sarah Smallwood, Aerospace Engineering, Honor's Theis (2nd Reader). Fall, 2017 - Spring 2018
26. Lilian Ngweta, Honors, Fall 2017 - Spring 2018 (Liang Wu)
27. Daniel Baird, research preparation for FURI, Fall 2016; Honors Thesis, Fall 2017 - Spring 2018 (Suhang Wang)
28. Christina Wilmot, Honors Thesis, Fall 2016 - Spring 2017
29. Lewis Ruskin, Honors Thesis, Spring 2016 - Spring 2017
30. Andrew Dudley, Fall 2016
31. Kian Fakhri, Honors Thesis, Spring 2016 - Fall 2016
32. Grant Marshall, REU Student December 2011 - Spring 2015; Honors Thesis, Fall 2014 - Spring 2015
33. Daniel Howe, REU Student Summer 2013 - Summer 2015
34. Mark Karlsrud, Honors Thesis, Fall 2014 - Spring 2015
35. Lisa Baer, Fall 2013 - Spring 2014
36. Aaron Mattson, Fall 2012 - Spring 2013 (Honor's Thesis, 2nd Reader)
37. Garret Walliman, Fall 2012 - Spring 2013 (Honor's Thesis, 2nd Reader)
38. Luke Pirtle, Summer 2012 - January 2013
39. Shantanu Bala, January 2012 - August 2012
40. Lin Yang, Fall 2011 - Spring 2012
41. Patrick Mcinerney, Honors, Intelligent Data Collection with iPad, Fall 2010 - Spring 2011
42. Fred Morstatter, Feature Selection, Fall 2009 - Spring 2011
43. Patrick Krecker, Honors, Social Media Data Crawling, Fall 2009 - Spring 2010
44. David Weber, Honors, co-supervised with Professor Violet R. Syrotiuk, Social Network Analysis Fall 2008-Spring 2009

PhD Students at ASU

1. Brian Vincent, Ph.D., Fall 2019
2. Weidong Zhang, Ph.D., co-advisor with Dr. Yingzhen Yang, Fall 2019
3. Amrita Bhattacharjee, Ph.D., Fall 2020
4. Tharindu Kumarage, Ph.D., Fall 2020
5. Paras Sheth, Ph.D., Fall 2020
6. Anique Tahir, Ph.D., Fall 2020
7. Ujun Jeong, Ph.D., Spring 2021
8. Zhen Tan, Ph.D., Spring 2021
9. Nayoung Kim, Ph.D., Spring 2021
10. Bohan Jiang, Ph.D., Spring 2021
11. Kritshekhar Jha, Ph.D., co-advisor with Dr. Ming Zhao, Spring 2022
12. Zeyad Alghamdi, Ph.D., Spring 2022
13. Alimohammad Beigi, Ph.D., Fall 2022
14. Shu Wan, Ph.D., Summer 2023
15. Chengshuai Zhao, Ph.D., Spring 2024
16. Dawei Li, Ph.D. Fall 2024

PhD Students graduated at ASU (Mathematics Genealogy Project)

1. 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.
2. 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.
3. 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.
4. Zheng Alan  Zhao, PhD, Spectral Feature Selection, SAS, July, 2010 (co-chair with Jieping Ye); Outstanding Ph.D. Student in CSE, ASU, 2008
5. Lei Tang, PhD, Learning with Large-Scale Social Media Networks, Yahoo! Labs, August 2010
6. Geoffrey Barbier, PhD, Provenance Data in Social Media, AFRL, November 2011
7. Xufei Wang, PhD, Connecting Users with Similar Interests for Group Understanding, LinkedIn, April 2013
8. Salem Alelyani, PhD, On Feature Selection Stability - A Data Perspective, King Khalid University, Abha, Asir, Saudi Arabia, Assistant Professor, April 2013
9. Ali Abbasi, Ph.D. Understanding Social Media Users vis Attributes and Links, November, 2014. Quid, January 2015
10. Huiji Gao, Ph.D. Personalized POI Recommendation on Location-Based  Social Networks, November 2014, 2014. LinkedIn, January 2015
11. 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.
12. Pritam Gundecha, Ph.D., Managing User's Vulnerability on a Social Networking Site, March 2015. IBM Research Almaden
13. 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.
14. 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.
15. Reza Zafarani, Ph.D., Making Thin Data Thick: User Behavior Analysis with Minimum Information, May 2015. Tenure Track, Assistant Professor, Syracuse University.
16. Magdiel Galan, PhD, Leveraging Collective Wisdom in A MultiLabeled Blog Categorization Environment, July 2015. Intel.  
17. Yunzhong Liu, Ph.D., Patient-Centered and Experience-Aware Mining for Effective Information Discovery in Health Forums. June, 2016.  co-supervised with Professor Yi Chen. LeEco US.
18. Robert (Rob) Trevino, Ph.D., Big Data Analysis of Bacterial Inhibitors in Parallelized Cellomics - A Machine Learning Approach,  August 2016. AFRL.
19. Somnath Shahapurkar, PhD, Crossing the Chasm: Deploying Machine Learning Analytics in Dynamic Real-World Scenarios, October 2016. FICO.
20. Fred Morstatter, Ph.D., Discovering and Mitigating Social Data Bias, June 2017. USC ISI.
21. Philippe Christophe Faucon, Ph.D., Gene Network Inference via Sequence Alignment and Rectification, August, 2017. Norconsult informasjonssystemer AS, Norway.
22. Suhas Ranganath, Ph.D., Facilitating Efficient Information Seeking in Social Media, October 2017. co-supervised with Professor Ying-Cheng Lai. Walmart Labs, Sunnyvale, CA.
23. Suhang Wang, Ph.D., Network Representation Learning in Social Media, August 2018. Tenure Track, Assistant Professor, College of Information Science and Technology, Pennsylvania State University. Fulton Schools of Engineering 2018 Dean's Dissertation Award.
24. Liang Wu, Ph.D., Misinformation Detection in Social Media, March 2019. Airbnb. School of CIDSE 2018 CS Outstanding PhD Student Award.
25. Jundong Li, Ph.D., Learning with Attributed Networks: Algorithms and Applications, Summer 2019. Tenure Track, Assistant Professor, ECE/CS/Data Science, University of Virginia. Nominted by the Dean of Graduate College at ASU for the CGS/ProQuest Distinguished Dissertation Award
26. Isaac Jones, Ph.D., Assessing Influential Users in Live Streaming Social Networks, Fall 2019.  Google
27. Tahora Hossein Nazer, Ph.D., Understanding Bots on Social Media: An Application in Disaster Response, Fall 2019. Spotify
28. Nur Shazwani Kamrudin, Ph.D., A Study of User Behaviors and Activities on Online Mental Health Communities, Fall 2019. Senior Lecturer, Universiti Malaysia Pahang.
29. Gennaro De Luca, Ph.D., (Principal Advisor: Dr. Yinong Chen), Explainable AI in Workflow Development and Verification using Pi-Calculus, Spring 2020. Information Technology Program, The Polytechnic School, ASU.
30. Ghazaleh Beigi, Ph.D., Protecting User Privacy with Social Media Data and Mining, Spring 2020. Google.
31. Kai Shu, Ph.D., Understanding Disinformation: Learning with Weak Social Supervision, Summer 2020. Tenure Track, Gladwin Development Chair Assistant Professor, CS, Illinois Institute of Technology. (1) ASU Fulton Schools of Engineering 2020 Dean's Dissertation Award; (2) Finalist of the 2021 BenchCouncil Distinguished Doctoral Dissertation Award
32. Ruocheng Guo, Ph.D., Spring 2021; Learning Causality with Networked Observational Data. Assistant Professor, City University of Hong Kong. ASU School of CIDSE CS PhD Outstanding Student Award (2021)
33. Lu Cheng, Ph.D., Spring 2022; Algorithmic Solutions for Socially Responsible AI; the 2020-2021 ASU GPSA Outstanding Research Award; Fulton Schools of Engineering 2021-2022 Dean's Dissertation Award; ASU School of SCAI CS PhD Outstanding Student Award (2022), the  2022 International Neural Network Society Doctoral Dissertation Award (Runner-up); University of Illinois at Chicago, Tenure Track, August, 2022.
34. Walaa Abdulaziz M Alnasser, Ph.D., Summer 2022, Measuring and Enhancing Users' Privacy in Machine Learning, Senior R&D Lead, LEAN (Business Services: Towards a smart health eco system), Saudi Arabia
35. Kaize Ding, Ph.D., Data Efficient Graph Learning, Feburary 2023; the 2021-2022 ASU GPSA Outstanding Research Award; Fall 2022 Graduate College Completion Fellowship;  SCAI Computer Science PhD Outstanding Student Award Spring 2023. Northwestern University, Tenure Track Assistant Professor, September 2023.
36. David Ahmadreza Mosallanezhad, Ph.D., co-advisor with Dr. Michelle (Mickey) Mancenido, Representation Learning for Trustworthy AI, Spring 2023. Nvidia
37. Mansooreh Karami, Ph.D.,  Investigating the Role of Silent Users on Social Media, Fall 2023. Microsoft
38. Raha Moraffah, Ph.D., Responsible Machine Learning: Security, Robustness, and Causality, Spring 2024. 2023-24 Dean's Dissertation Award in Fulton Schools of Engineering. Worcester Polytechnic Institute, Tenure Track Assistant Professor, July 1, 2024
39. Bing Hu, Ph.D., Workload Mining with Machine Learning, (Principal Advisor, Dr. Karl G. Kempf), Intel, Fall 2024
40. Faisal Alatawi, Ph.D., Quantifying and Profiling Echo Chambers on Social Media, Fall 2024. King Saud University, Assistant Professor, Spring 2025
41. Garima Agrawa, Ph.D., Knowledge-Aware AI for Domain-Specific Question-Answering Systems, Fall 2024. Minerva CQ, Senior Research Scientist, Nov. 2024

MS Students graduated at ASU

1. Reshma Suvarna, MS, Meta Data and Namespaces Spring 2001, co-supervised with Professor Selcuk Candan, graduated Spring 2003. Honeywell.
2. Jianhua Han, MCS, Automatic RDF Metadata Generation for Relational Databases, graduated in Spring 2002.
3. 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.
4. Amit Mandvikar, MS, Active Learning for Image Mining, Spring 2002, graduated Fall 2003. Microsoft, Redmond.
5. Snehal Kundalkar, MCS, Intelligent Data Extraction, Fall 2002, graduated Fall 2003
6. Jigar Mody, MS, Selective Voting for Ensemble Methods, Spring 2003, graduated Spring 2004. Microsoft, Redmond.
7. Ehtesham Haque, MS, Subspace Search for Web Mining Applications, Summer 2003, graduated Fall 2004
8. Srihari Venkatesan, MS, Intelligent Driving Data Analysis, Spring 2003, graduated Fall 2004. Yahoo.
9. Magdiel Galan, MCS, Instance Selection for Stream Data , Summer, 2004, graduated Spring 2005.
10. Surendra Singhi, MS,  Selection Bias in Machine Learning, Summer 2004, graduated May 2006. Independent consultant.
11. Lance Parson, MS, Spring 2003, Integrated Learning from Microarrays - Discovering Subtypes of Glioblastoma, graduated Fall 2006. ASU.
12. Niyati Parikh, MS, Spring 2005,Sensor Networks: Decentralized Monitoring and Subspace Classification of Events, Fall 2006. Google.
13. Ashutosh Tiwari, MCS, Fall 2004, A Case Study of HRC Databases and Applications, Spring 2007
14. Payam Refaeilzadeh MS , Spring 2006, Evaluation Methodology for Comparing Feature Selection, Spring 2007, Microsoft, Redmond .
15. Sanjay Sundararajan, MCS, Spring 2007, Online Group Interaction Study. Graduated in Spring 2008. Progressive.
16. 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. 
17. Quan Nguyen, MCS, Fall 2006, Web Analytics and Mining.
18. Shashvata Sharma, MCS, Spring 2010, Feature Selection, Microsoft
19. Gayathri Varadarajan, MS, Fall 2010, A Data-Driven Framework for Prognostics.
20. William Cole, MS, Summer 2011, Sentiment Propagation in Social Media.
21. Aneeth Anand, MS, Spring 2012, Expanding Data Mining Theories for Industrial Applications.
22. Ashwin Rajadesingan, MS, Fall 2014, Detecting Sarcasm on Twitter: A Behavior Modling Approach
23. Ran Wang, MS, April 2015, Toward Small Community Discovery in Social Networks
24. Harsh Dani, MS, January 2017, Sentiment Informed Cyberbullying Detection in Social Media
25. Kewei Cheng, MS, February 2017, Mining Signed Social networks Using Unsupervised Learning Algorithms
26. Justin Sampson, MS, Spring 2016, Assessing Veracity in Streaming Social Media Data for Crisis Response
27. Shobhit Sharma, MCS, TweetTracker, Spring 2017 - Fall 2017, Spring 2018 (project assistant)
28. Kunal Bansal, MCS, TweetTracker+Bot Detection, Spring 2017 - Fall 2017 (project assistant)
29. Chetan Gupta, MS, Fall 2017 - Spring 2018 (project assistant)
30. Venkatesh Magham, MS, Fall 2017 - Spring 2018 (project assistant), - Spring 2019, Data Poisoning Attacks on Linked Data with Graph Regularization (Liang Wu)
31. Deepak Mahudeswaran, MCS, Spring 2018 -  Summer 2019 (project assistant)
32. Rohit Bhanushali, MCS, Spring 2018 - Fall 2018 (project assistant)
33. Abhay Joshi, MCS, Spring 2018 - Fall 2018 (project assistant)
34. Matthew Davis, MS, Types of Bots: Categorization of Accounts Using Unsupervised Machine Learning, Fall 2019. Intel
35. Yichuan Li, MCS, Fall 2019 - Summer 2020 (project assistant)
36. Aditya Deotale, MS, Using Event Logs and Rapid Ethnography to Mine Clinical Pathways. Co-chaired with Dr. Adela Grando, College of Health Solutions. Spring 2020. Amazon
37. Bohan Jiang, MCS, Spring 2020 - Fall 2020
38. Ravi Karumuri, MS, Interpretable Features for Distinguishing Machine Generated News Articles. Spring 2022. Amazon
39. Snigdha Reddy Mudireddy, MCS, Fall 2022 (project assistant with Ujun and Bohan)
40. Suraj Jyothi Unni, MS, Towards Robust VQA: Evaluations and Methods (Raha Moraffah). Fall 2023
41. Hirthik Mathavan, MS, Multi-Modal Tumor Survival Prediction via Graph-Guided Mixture of Experts (Zhen Tan), Spring 2024
42. Ayushi Nirmal, MS,Interpretable Hate Speech Detection via Large Language Model-extracted Rationales (Bohan Jiang, Amrita Bhattacharjee), Spring 2024
43. Saketh Vishnubhatla, MS, Fall 2023 (Raha Moraffah)
44. Saurabh Zinjad, MS, Spring 2024 (Amrita Bhattacharjee)

PostDoc Scholars

• Dr. Ali Senol, July 2024 -
• Dr. Raha Moraffah, May - June 2024
• Dr. Jim Yoonhyuk Choi, Nov. 2023 - Sept. 2024 (PI Selcuk Candan)
• Dr. Kaize Ding, Feb 2023 - August 2023 (PI Selcuk Candan)
• Dr. Lu Cheng, June 2022 - August 2022 (PI Selcuk Candan)
• Dr. Vineeth Rakesh Mohan, August 2017 - July 2018
• Dr. Tanatorn Tanatong, January - May 2016
• Dr. Uraz Yavanoglu, May 2015 - April 2016
• Dr. Xia Ben Hu, May 2015 - August 2015
• 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 Kambhampati, Terry Wen, Daria Bazzi

Visiting Scholars at ASU

• Lo Pang-Yun (Teila) Ting, PhD student, National Cheng Kung University (Professor Kun-Ta Chuang), Taiwan, August 2023 - August 2024
• Qianru Wang, PhD Student, Northwestern Polytechnical University (Professor Bin Guo), November 2019 - March 2021
• Qun Zhao, PhD Student, HoHai University (Professor Yufeng Yu), September 2019  - September 2020
• Gang Wei, Graduate Student, Xian Jiaotong University, Xian, November 2018 - May 2019
• Saul Solorio Ferbabdez, PhD Student, National Institute of Astrophysics, Optics, and Electronics, Puebla, Mexico, September 2018 - April 2019
• Shuo Yang, PhD Student, Shanghai Jiaotong University, Shanghai, September 2017 - September 2018
• Shan-Yun Sharon Teng, PhD Student, National Cheng Kung University (Professor Kun-Ta Chuang), Taiwan, August 2017 - July 2018
• 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 Sao Paulo -- USP, Feature Selection for Clustering.
• Zhuo Feng, PhD Candidate, Fall 2011 - Spring 2012, University of Arizona, Web Search.

Visiting Professors at ASU

• Professor Hai Huang, Beijing University of Post  and Telecommunications, October, 2018 - October, 2019
• Professor Yufeng Yu, HoHai University, August 2018 - August 2019
• Professor Min Gao, Chong Qing University, December 2017 - January 2019
• Professor Chen Chen, Nankai University, August, 2017 - September, 2018
• Mr. Fang Chen, Library of Chinese Academy of Sciences, November, 2017 - April, 2018
• Professor Zhipeng Liu, NanJing University of Post and Telecommunications (NJUPT), January 2018 - March 2018
• Professor 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, Febrary 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