Students (Current)

• Mark Dilsizian (PhD)
• Cibin George (MS)
• Christopher Janneck (PhD)
• Shenzhi Li (PhD)
• Nikita Lytkin (PhD)
• Vikas Menon (MS)
• Aleksandar Nikolov (PhD)
• Jason Perry (PhD)

Students (Graduated)

• Fabien Bouskila (MS) The Role of Semantic Locality in Hierarchical Distributed Dynamic Indexing and Information Retrieval
• Jeff Eynon (MS) A Generic Learning Method for Information Extraction from the World Wide Web
• Murat Ganiz (PhD) Higher-Order Path Analysis for Supervised Machine Learning
• David Gevry (MS) Detection of Emerging Trends: Automation of Domain Expert Practices
• Yumi Jin (MS) Graphical User Interface and Information Visualization Techniques for Detecting Emerging Concepts
• Faisal Khan (MS) Hardware-Based Support Vector Machine Classification in Logarithmic Number Systems
• Yong-bin Kim (MS) The Role of Hierarchical Models in Hierarchical Distributed Dynamic Indexing
• April Kontostathis (PhD) A Term Co-occurrence Based Framework for Understanding LSI: Theory and Practice
• Jirada Kuntraruk (PhD) Application Resource Requirement Estimation in a Parallel-Pipeline Model of Execution on a Computational Grid
• Soma Roy (MS) A Multimedia Interface for Emerging Trend Detection in Inquiry-based Learning
• Ting-hao Yang (MS) Detecting Emerging Conceptual Contexts in Textual Collections
• Steve Zanias (MS) Quasi-Identifier Discovery
• Limei Zhou (MS) Machine Learning Classification for Detecting Trends in Textual Collections