Funded Projects
- Modeling Group Interaction via
Open Data Sources, AFOSR, 3/2008 - 2/2011
- BlogTrackers: Combining Domain
Knowledge and Novel Search Capabilities for Assessing Political Risks, ONR,
1/2008 - 11/2008
- Link Mining of Textual Data,
MITRE, 9/2007-8/2008
- 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 high-tech IT companies (Google, Honeywell, Microsoft, and Yahoo, among
others) , and 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:
Graduate Students at ASU
-
Nitin
Agarwal, PhD, Spring 2004, Web Mining on Blogosphere and Social Computing
- Steven Day, PhD, Fall 2004,
Web-based e-Learning
- Lei Tang, PhD, Fall 2004,
Text Mining and Knowledge in Learning,
- Zheng
Alan Zhao, PhD, Fall 2004, Spectral Feature Selection and
Bioinformatics, Outstanding Ph.D. Student in CSE, ASU, 2008
- Somnath
Shahapurkar, PhD, Spring 2005, Unsupervised
Feature Selection and Clustering
-
Sai
Moturu, PhD, Fall 2005, Data Integration and
Mining in Healthcare and Biomedical Informatics,
Best Student
Paper Award at HealthInfo2008.
- Magdiel
Galan, PhD, Spring 2006, Social Computing and Visualization
- Shankar Bhargav,
MS, Fall 2006, Data Fusion and Information Integration, co-supervised with
Baoxin Li
- Sanjay Sundararajan, MCS, Spring
2007, Online Group Interaction Study
-
Lei Yu, PhD, Redundancy-based
Feature Selection for High-Dimensional Data and Application in
Bioinformatcis
SUNY Binghamton, Tenure
Track, (Fall 2000, July 2005) , Outstanding Ph.D. Student in CSE, ASU 2005
-
Reshma Suvarna,
MS, Meta Data and Namespaces
Spring 2001, co-supervised with 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.
- Quan
Nguyen, MCS, Fall 2006, Web Analytics and Mining, in progress