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.
Congratulations to Faezeh Ghaderi for successfully defending her Master Thesis “ApproxML: Efficient Approximate Ad-Hoc ML Models Through Materialization and Reuse”
Congratulations to Suraj Shetiya, Abolfazl Asudeh and Sadia Ahmed on their VLDB 2020 paper, “A Unified Optimization Algorithm For Solving ‘Regret-Minimizing Representative’ Problems”. VLDB 2020
Congratulations to Shohedul Hasan, Saravanan Thirumuruganathan and Nick Koudas on their ICDE 2020 paper, “Approximate Query Processing using Deep Generative Models”. ICDE 2020
Congratulations to Sona Hasani, Faezeh Ghaderi, Shohedul Hasan, Saravanan Thirumuruganathan, Abolfazl Asudeh and Nick Koudas on their VLDB 2019 paper [Demo], “ApproxML: Efficient Approximate Ad-Hoc ML Models Through Materialization and Reuse”. VLDB 2019
Congratulations to Faezeh Ghaderi for aezeh for successfully defending her Master Thesis “ApproxML: Efficient Approximate Ad-Hoc ML Models Through Materialization and Reuse”
Congratulations to Abolfazl Asudeh, Jees Augustine and Azade Nazi on getting their work, “Scalable algorithms for signal reconstruction by leveraging similarity joins” invited to the special issue of VLDB Journal on the best from VLDB’18, awarded in 2019.
Congratulations to Abolfazl Asudeh, Jees Augustine and Azade Nazi on accepting their 2018 ACM SIGMOD Research Highlight Award for their work “Leveraging Similarity Joins for Signal Reconstruction”, awarded in 2019 SIGMOD.
Congratulations to Abolfazl Asudeh, Jees Augustine and Azade Nazi on getting their work, “Leveraging Similarity Joins for Signal Reconstruction” invited to the special issue of VLDB Journal on the best from VLDB’18 in July 2019.
Congratulations to Jees Augustine, Abolfazl Asudeh and Azade Nazi on getting their work, “Leveraging Similarity Joins for Signal Reconstruction” recognized as reproducible research by pVLDB Reproducibility Committee. It will be highlighted at VLDB 2019.
Congratulations to Md. Abdus Salam, M. Koone, Senjuti Basu Roy and Saravanan Thirumuruganathan on their TheWebConf (formerly WWW) 2019 paper.
Congratulations to Abolfazl Asudeh and Azade Nazi on their SIGMOD 2019 paper.
Dr. Das is the general co-chair of SIGMOD 2018.
Dr. Das was recently featured in the SIGMOD SIGMOD blog.
Congratulations to Abolfazl Asudeh, Azade Nazi, Jees Augustine and Saravanan Thirumuruganathan on their VLDB 2018 paper.
Congratulations to Sadia Ahmed, Sona Hasani and Mary Elizabeth Koone on their EMBC 2018 paper.
Congratulations to Yeshwanth Durairaj Gunasekaran, Abolfazl Asudeh and Sona Hasani on their ICDE-Demo 2018 paper.
Congratulations to Sona Hasani on her ICDE 2018 paper.
Congratulations to Yeshwanth Durairaj Gunasekaran, Farhadur Rahman and Sona Hasani on their SIGMOD-Demo 2018 paper.
We gratefully acknowledge the support of our research sponsors.
© 2019 dbxlab.uta.edu
