Funded Research Projects
- INSPIRE: Not Unbiased: The Implications of Human-Algorithm Interaction on Training Data and Algorithm Performance, PI, National Science Foundation, Division of Information & Intelligent Systems, $813,222, 2015-2018.
- Humanizing Black Box Big Data Predictors with the Power of Explanations, PI, KSEF-3113-RDE-017, $29,776, 2014-2015.
- “Stream Clustering Algorithms in Mixed Domains with Soft Two-way Semi-Supervision”, PI, National Science Foundation – Data Intensive Computing, Division of Information & Intelligent Systems, $450,000, 2009-2013.
- “Architecture Analysis of Peer-to-Peer Data Exchanges”, PI, KY Science & Engineering Foundation, $99,413.00, Jul. 2008-Jun. 2010.
- Research Experience for Undergraduates, PI, National Science Foundation, Division of Information & Intelligent Systems, funding for five undergraduate students, $21,000, summer 2008 – summer 2009.
- “CAREER: New Clustering Algorithms Based on Robust Estimation and Genetic Niches with Applications to Web Usage Mining”, PI, National Science Foundation – Division of Information & Intelligent Systems, $300,080, 2002-2009
- “Solar Loop Mining for the Coronal Heating Problem” PI, NASA – Applied Information Systems Research Program (AISR), $385,000, 2004-2009.
- “Mining Solar Images to Support Astrophysics Research”, PI, National Science Foundation– Science & Engineering Informatics, Division of Information & Intelligent Systems, $200,000, 2004-2009.
- “Leveraging Search and Mining Capabilities on the NST Center Website”, Co-PI, Innovative Productivity Inc. (sub-contract from the US. Navy), $121,000, Jan. 2006-Dec. 2006.
- “Transforming the NSTCenter from Website to Knowledge Portal ”, co-PI, Innovative Productivity Inc. as a sub-contract from the US . Navy, $119,000 , Jan. 2005-Dec. 2005.
- A Scholarship Program for Computer Science, Engineering, and Mathematics Students: An Industry-Academia Partnership Approach, Co-PI, National Science Foundation, $171,869. 2002-2004
Supervised Doctoral Dissertations
- Abdullin, Artur, “An Inter-Domain Supervision Framework for Collaborative Clustering of Data with Mixed Types” (PhD. Dec. 2013), currently at LivingSocial (after two years at Resonate Networks).
- Hawwash, Basheer, “STREAM-DASHBOARD: A Big Data Stream Clustering Framework with Applications to Social Media Streams” (PhD. May. 2013), currently at Quintiles.
- Durak, Nurcan, “ Coronal Loop Detection from Solar Images and Extraction of Salient Contour Groups from Cluttered Images” (PhD. Aug. 2011).
- Currently at RocketFuel (after a postdoc at Sandia National Labs).
- Won second place at Grand Finals of ACM Research Competitions 2011.
- Esin Saka, “Swarm Intelligence for Clustering Dynamic Data Sets for Web Usage Mining and Personalization” (PhD. Dec. 2011), currently at Microsoft Search & Advertising.
- Leyla Zhuhadar, “Automated Discovery, Categorization, and Retrieval of Personalized Semantically Enriched E-Learning Resources” (PhD. 2009), currently an Assistant Professor at Western Kentucky University.
- Carlos Rojas, “Pattern Discovery from Evolving Transactional Data Streams” (PhD. 2009), currently at Nokia Labs (after a postdoc at Oak Ridge National Labs).
- Zhiyong Zhang, “Focused Image Search in the Social Web” (PhD. 2008), currently at Apple Inc. (after four years at Yahoo Inc).
- Elizabeth Leon, “Scalable and Adaptive Evolutionary Clustering for Noisy and Dynamic Data” (PhD. 2005), currently Assistant Professor at National University of Colombia.
Supervised Masters Thesis
- Nick A. Miles, “Architecture Analysis of Peer-To-Peer Network Structure And Data Exchanges For Distribution of Contraband Material”, 2010, currently at Tenable Network Security.
- Derek Reese, “Dynamic Probe Positioning Within Peer-To-Peer Networks For Mining Contraband File Exchanges”, 2010, currently at Humana.
- Heba Elgazzar, “Data Mining Approach To Detect Solar Loops”, 2007, continued to PhD.
- Basheer Hawwesh, “Mining and Tracking Evolving Web User Trends from Very Large Web Server Logs”, 2008, continued to PhD.
- Pavuluri, Mrudula, “A Study of New Intelligent Recommender Systems for Web Personalization”, 2004 (University of Memphis)
- Rojas, Carlos, “Clustering using a Robust Estimator”, 2004 (University of Memphis), continued to PhD.
- Cardona, Cesar, “A New Immune System Model to Cluster Data Streams”, 2004 (University of Memphis), currently at Lexis Nexis. He is currently a National Science Foundation Doctoral Fellow at University of Chicago (after several years at ChoicePoint and LexisNexis).
- Goswami, Suchandra, “A Generalized Framework for Discovering Localized Error Tolerant Frequent Patterns using Dynamic Error Tolerance”, 2004 (University of Memphis), continued to PhD.
- Leon, Elizabeth, “Investigation of New Evolutionary Clustering Models and application to Unsupervised Anomaly Detection”. Spring 2004 (University of Memphis), continued to PhD.
- Petenes, Christopher, “An Intelligent Web Personalization System with a Fuzzy Recommendation Engine”, 2003 (University of Memphis), currently at Mallory Alexander International Logistics.
Supervised Masters Projects
- Cerwinske, Jeff, “Investigation of a Real time Recommender System based on Mining Evolving Web Clickstreams”
- Parupudi, Kiran, “Text Clustering Analysis of Web Snippets from Yahoo Search Results”.
- Noru, Madan, “ Clustering of Nucleotide Gene Sequences using Hierarchical Unsupervised Niche Clustering ”.
- Yarramsetti, Ravi , “An Integrated Tool for Hierarchical Unsupervised Niche Clustering”
- Jammi, Snigdha, “Web Usage Mining with Kohonen’s Self Organizing Feature Maps”.
- Ealla, Vidyasagar, “Java Implementation of Hierarchical Clustering Algorithms for Data and Web Mining”
- Dakuri, Ratna, “Web Usage Mining – Association Rules Discovery from World Wide Web Transactions”
- Dunna, Satish, “Design of an Optimal Classifier for Automatic Web Recommendations”.
- Nibbaragandla, Kiran, “An Intelligent Web Agent for Automatic Taxonomy Generation”.
- Vishnubhatla, Venkat, “Data Mining of the ACT and Enrollment Data at the University of Memphis”.
- Tiruvanallur, Gautam, “Design of a Flexible Web Log Preprocessing System”.
- Valluripari, Chakradar, “VHDL Design of an Artificial Immune System Prototype”.
Supervised Undergraduate Projects
- Shaver, Billy, “Keyword Search in a Text Corpus”
Supervised Undergraduate Research
- Garrett Ridge: “Principal Curve Extraction from Solar Images”
- Honorable Mention by Computing Research Association (CRA) for outstanding undergraduate research.
- Winner: Best poster at Speed School’s Engineering Expo.
- Currently Doctoral fellow at UCLA.
- Roger Mendes: “Feature Extraction for Coronal Loop Mining”
- David Chase Childers: “Web Personalization with Open Source Search and Indexing Software”. He is currently at Amazon after an internship at Apple.
- Gurmit Kaur: “Dynamic Visualization of Swarm-based Clustering”
- Mihir Kotwal: “A Cloud-Based Framework for Web Usage Mining”