Saravanan Thirumuruganathan
Associate Professor of Practice
Research Interests
Professor Thirumuruganathan's research program tries to cross pollinate ideas between data management and machine/deep learning. He is interested in revisiting fundamental challenges in data management through the lens of machine learning and how techniques from databases can be used to accelerate machine learning primitives. He has significant expertise in applying machine learning in a wide variety of fields such as cyber security, knowledge graphs, data integration, fairness, and social networks.
Prior to joining MBZUAI, Professor Thirumuruganathan co-founded a startup and served as a Visiting Professor at IIT Palakkad. Before that, he was a Scientist at the Qatar Computing Research Institute (QCRI), where he conducted applied research at the intersection of databases and machine learning.
Professor Thirumuruganathan has authored over 80 peer-reviewed publications and actively contributes to the research community as a Program Committee member for leading conferences in databases and machine learning. His work spans a broad range of topics, including data management, data quality, and scalable learning systems.
- Ph.D. in Computer Science from the University of Texas At Arlington
- M.S. in Computer Science & Engineering from the University of Texas At Arlington
- B.E. in Computer Science Engineering from the Anna Univeristy
- Recipient of Distinguished Reviewer award at CODS-COMAD 2024, SIGMOD 2022, VLDB 2021.
- Edited Special Issue on Deep Learning for Data Quality in ACM Journal of Data and Information Quality in 2022.
- Leveraging Similarity Joins for Signal Reconstruction was invited for publication at Communications of the ACM, SIGMOD record and won SIGMOD Research Highlights award.
- Best Demonstration award for "ExplainER: Entity Resolution Explanations" at ICDE 2019