Graduated Students

31 graduate dissertation/thesis and 8 MS practicum student committees (as Committee Chair). The dissertation/these titles are noted below in reverse chronological order.

  1. Hatwib Mugasa, Adaptive Feature Engineering Modeling for Ultrasound Image Classification for Decision Support, Doctorate in Computational Analysis and Modeling, 2019. 
  2. Ayesha Akter, Feature Space Modeling for Accurate and Efficient Learning from Non-Stationary Data, Doctorate in Computational Analysis and Modeling, 2019. 
  3. John Mapes, Multidimensional Feature Engineering for Post-Translational Modification Prediction Problems, Doctorate in Engineering, 2018.
  4. Richard Appiah, Spatiotemporal Subspace Feature Tracking by Mining Discriminatory Characteristics, Doctorate in Computational Analysis and Modeling, 2017.
  5. Mihir Karnik, Metagenome Analysis using Expectation Maximization, Master’s in computer science Thesis, 2014.
  6. Kankana Shukla, Development of a Clique-based Dimensionality Reduction Technique and its Applications to Gene Expression, Masters in Computer Science Thesis, 2014.
  7. Sulaimon Ibrahim, Classification of Diabetes Maculopathy Images based on Data-adaptive Neuro-Fuzzy Inference Classifier, Masters in Computer Science Practicum, 2013
  8. Joshua Hitchins, Agent-based Social Network Data Generation Using Semantic Tagging and Tag-based Social-link Algorithms, Masters in Computer Science Thesis, 2013
  9. Sheetal Saini, Adaptive Grid-Based Localized Learning for Multidimensional Data, Doctorate in Computational Analysis and Modeling Dissertation, 2012.
  10. Vasanth Raghu Nair, Folksonomy based Ad hoc Community Detection in Online Social Networks, Masters in Computer Science Thesis, 2012.
  11. Mohit Jain, Data Adaptive Rule-Based Classification System, Masters in Computer Science Thesis, 2012.
  12. Michael P. Dessauer, Data Mining Based Learning Algorithms for Semi-Supervised Object Identification and Tracking, D. in Computational Analysis and Modeling Dissertation, 2011.
  13. Harpreet Singh, Associative Pattern Mining for Supervised Learning, Doctorate in Computational Analysis and Modeling Dissertation, 2010.
  14. Afolabi Olomola, Unsupervised Similarity Mining in High Dimensional Data, Masters in Computer Science Thesis, 2010.
  15. Preet K. Sekhon, Automated Valuation Models Using Data Mining Techniques-An Application to Real Estate Valuation, Masters in Computer Science Practicum, 2009.
  16. Alan E. Alex, An Integrated Approach for Identification of Cell-Cyclic Genes in the Saccharomyces Cerevisiae, Masters in Computer Science Thesis, 2009.
  17. Pradeep Chowriappa, Integrated Mining of Feature Spaces for Bioinformatics Domain Discovery, Doctorate in Computational Analysis and Modeling Dissertation, 2008.
  18. Kameshwari Palepu, Gene Ontology-based Gene Expression Mining, Masters in Computer Science Practicum, 2008.
  19. Priti Srinivasan, Wavelet-Based Approach for Detecting Cognitive States in fMRI Images, MS-Biomedical Engineering, 2008.
  20. Feifei Xu, Unsupervised Feature Selection Filter Method based on Information Gain, Masters in Computer Science Thesis, 2007.
  21. Robert W. Clowers, A Simplistic Approach to Face Detection over the Access Grid Medium, Masters in Computer Science Thesis, 2007.
  22. Shirin A. Lakhani, Protein Structural Classification using Mining of Frequent Patterns in Concave Protein Surfaces, Masters in Computer Science Thesis, 2007.
  23. Manish K. Gupta, A Framework or Studying the Efficacy of Parameters Accounting towards Solutions in Data Mining, Masters in Computer Science Thesis, 2006.
  24. Padma P. Korimilli, Quad-Tree Based Approach for Bi-Clustering of Gene Expression Data, Masters in Computer Science Thesis, 2006.
  25. Ankur Rajopadhye, Optimized Greedy Algorithm-Based Sensor Placement for Distributed Sensor Network, Masters in Computer Science Thesis, 2006.
  26. Sireesha Krishna Guntaka, A Computational Framework for Autonomous Comparison of Protein Classification Schemas, Masters in Computer Science Practicum, 2006.
  27. Sridhar Reddy Alluri, Fractal-Based Method for Dimensionality Reduction of Gene Expression Data, Masters in Computer Science Thesis, 2006.
  28. Praveen C. Kidambi, A Computational Framework for Structural Classification of Proteins Using Orthogonal Transformation and Class-Association Rules, Masters in Computer Science Thesis, 2006.
  29. Sree Harsha Pothireddy, Discovery of Active Metabolic Paths using Association Rules, Masters in Computer Science Practicum, 2006.
  30. Shraddha Pathak, Enhancement of Instructional Technology by Using Feedback Support System for Access Grid Framework, Masters in Computer Science Thesis, 2005.
  31. Venkat Praveen Medikonda, Web-Based Online Appointment Manager with Data Mining Capabilities, Masters in Computer Science Practicum, 2005.
  32. Naveen Kandiraju, Dihedral Angle-Based Dimensionality Reduction and Accurate Classification of Protein Structures, Masters in Computer Science Thesis, 2005.
  33. Ravi Kanth Meka, Fast Protein Structure Classification using Spatial Aggregation of Orthonormal Coefficients, Masters in Computer Science Thesis, 2005.
  34. Vijay Raj Kukkala, Relevant Feature Extraction using Gene Ontology for Cancer Classification, Masters in Computer Science Thesis, 2005.
  35. Kaustubh Sabnis, Computational Identification of Tumor Gene Markers using Novel Dimensionality Reduction and Unsupervised Classification Techniques, Masters in Computer Science Thesis, 2004.
  36. Sunil Gokak, A Visual Data Mining Framework for Similarity Search in Large Sequential Databases, Masters in Computer Science Practicum, 2004.
  37. Yifei Long, Efficient and Flexible Update of Association Rules in Growing Databases, Masters in Computer Science Thesis, 2004.
  38. Suyang Zhang, Fast Web Usage Mining for Automatic Web Personalization, Masters in Computer Science Thesis, 2004.
  39. Vinay Manava, Integrating Image and Text for Heterogeneous Data Mining in Biomedical Informatics, Masters in Computer Science Practicum, 2003.

Service as Graduate Committee Member (non-chair)

Served over 25 Ph.D., 20 M.S. Thesis and 10 M.S. Practicum students.