At Database Exploration Lab (DBXLab), we seek to investigate fundamental research issues arising in Big Data. Our research encompasses diverse areas such as data mining, information retrieval, data uncertainty and probabilistic methods, approximate query processing, data summarization, data analytics and data exploration of hidden web databases, social and collaborative media.
DBXLab is headed by Dr. Gautam Das and a part of the Department of Computer Science and Engineering at the University of Texas at Arlington.
ACM Fellow Congratulations to Dr. Gautam Das for becoming an ACM FellowACM Fellow
Congratulations to Suraj Shetiya and Abolfazl Asudeh on their ICDE 2022 paper, “Fairness-Aware Range Queries for Selecting Unbiased Data;. ICDE 2022
Congratulations to Sona Hasani and Saravanan Thirumuruganathan on their ACM SIGMOD 2021 paper, “Shahin: Faster Algorithms for Generating Explanations for Multiple Predictions”.ACM SIGMOD 2021
Congratulations to Jees Augustine and Suraj Shetiya on their ACM SIGMOD 2021 paper, “A Generalized Approach for Reducing Expensive Distance Calls for A Broad Class of Proximity Problems”.ACM SIGMOD 2021
Invited Paper  Congratulations to Abolfazl Asudeh, Jees Augustine, Saravanan Thirumuruganathan, Azade Nazi, on their VLDB 2021 paper, “Scalable Signal Reconstruction for a Broad Range of Applications”.Communications of the ACM Research Highlights, 2020
Congratulations to Suraj Shetiya and Saravanan Thirumuruganathan on their VLDB 2021 paper, “Astrid: accurate selectivity estimation for string predicates using deep learning”.VLDB 2021
Congratulations to Jees Augustine, Suraj Shetiya, Abolfazl Asudeh, Saravanan Thirumuruganathan and Azade Nazi on their VLDB 2020 Demo, “Orca-SR: a real-time traffic engineering framework leveraging similarity joins”.VLDB 2020
Congratulations to Jees Augustine for successfully defending his Ph.D. Thesis “Generalized Algorithmic Frameworks for Optimizing Distance Calls in Generalized Metric Space Proximity Problems and Methods for Realizing Efficient Signal Reconstruction”Ph.D. Defense December 2020.
Congratulations to Sona Hasani for successfully defending her Ph.D. Thesis “Efficient Construction and Explanation of Machine Learning Models through Database Techniques”Ph.D. Defense September 2020.
IEEE Fellow Congratulations to Dr. Gautam Das for becoming an IEEE FellowIEEE Fellow