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