Database and Information Technology

Sharma Chakravarthy
Professor Sharma Chakravarthy received his Ph.D. from the University of Maryland at College Park in 1985 and his M.S. from that university in 1981. He obtained his M.Tech. from IIT, Bombay, India in 1975 and his B.E. in electrical engineering from the Indian Institute of Science, Bangalore, India, in 1973. He is the director of the Information Technology Laboratory and the Distributed and Parallel Computing Cluster at UTA. His current research interests include enabling technologies for advanced information systems, mining and knowledge discovery (conventional, graph, and text), active capability, web technologies, stream data processing and information security. Prior to joining UTA, Dr. Chakravarthy was with the CISE Department at the University of Florida, Gainesville. He worked as a computer scientist at the Computer Corporation of America in Cambridge, Mass., and as a member of technical staff at Xerox Advanced Information Technology in Cambridge. He has published over 100 papers in refereed international journals and conference proceedings. He has consulted for MCC, BBN, SRA Systems (India), Enigmatec, London, and RTI Inc. He has given tutorials on a number of database topics, such as active, real-time, distributed, object-oriented, and heterogeneous databases in North America, Europe, and Asia. He has given several invited and keynote addresses at universities and International conferences. He is listed in Who's Who Among South Asian Americans and Who's Who Among America's Teachers.

Gautam Das
Associate Professor Gautam Das joined the CSE faculty of UT-Arlington in Fall 2004. Prior to joining UTA, Dr. Das was a Researcher in the Data Management, Exploration and Mining (DMX) Group at Microsoft Research for five years. He has also held positions at Compaq Corporation and the University of Memphis. Dr Das graduated with a B.Tech in computer science from IIT Kanpur, India, and with a Ph.D in computer science from the University of Wisconsin, Madison. Dr. Das's research interests span data mining, information retrieval, databases, approximate query processing, heterogeneous data sources, applied graph and network algorithms, and computational geometry. While at Microsoft Research he was extensively involved in the design and implementation of association mining algorithms, sampling based approximate query processing, and research in database/IR integration. Prior to Microsoft, he has worked in clustering of categorical data and time series similarity, and also in the classical algorithms areas of shortest paths, spanning networks and geometric visibility. He has published over 60 papers, many of which have appeared in premier data mining, database and algorithms conferences (e.g., SIGMOD, VLDB, ICDE, KDD, STOC, SODA, SoCG) as well as in several leading journals and invited book chapters. Dr. Das has served as the Program Chair of CIT 2004 and SIGMOD-DMKD 2004, as well as in program committees of premier conferences such as SIGMOD, ICDE, KDD, and ICML.

Ramez Elmasri
Professor Ramez Elmasri received his Ph.D. in computer science from Stanford University in 1980, and also received his M.S. from Stanford. He received his B.S. in electrical engineering from Alexandria University, Egypt, in 1972. His current research interests are in applying database techniques to new technologies such as bioinformatics, mobile systems, and sensor networks. His research has covered ontologies, distributed object computing, systems integration, temporal databases, conceptual modeling, object-oriented databases, database models and languages, DBMS system implementation, indexing techniques, operating systems and programming languages.

Leonidas Fegaras
Leonidas Fegaras received the Ph.D. degree in computer science from the University of Massachusetts at Amherst in 1993. He was previously a senior research scientist at the OGI School of Science and Engineering at the Oregon Health and Science University.

Chengkai Li
Dr. Chengkai Li is an Assistant Professor in the Department of Computer Science and Engineering at the University of Texas at Arlington. His research interests are in the areas of databases, Web data management, data mining, and information retrieval. He works on ranking and top-k queries, Web search/mining/integration, database exploration, query processing and optimization, social networks and user-generated content, OLAP and data warehousing. His current focus is on both bringing novel retrieval and mining facilities into database systems and providing query functionality on top of Web data and information. He received his Ph.D. degree in Computer Science from the University of Illinois at Urbana-Champaign, and a M.E. and a B.S. degree in Computer Science from Nanjing University.

Kyungseo Park
Kyungseo Park is teaching CSE3330 (database I) in Fall 2008 at the University of Texas at Arlington. He received MS and PhD degrees in the Department of Computer Science and Engineering at The University of Texas at Arlington in 2003 and 2008 respectively. He received BE degree in Electronic Engineering from Hong-ik University (Seoul, Korea) in 1995. He worked at Samsung Semiconductor (Kiheung, Korea) from 1995 to 2000 as an engineer of Photolithographic Equipment.