Present
Hi! I am Anupam. I am currently working as an Assistant Professor at the Department of Computer Science and Engineering, IIT Hyderabad. My research interests lie in and around database systems. My current research focuses on the Testing and Benchmarking of Database Systems and AI for Data Engineering.
Experience
Assistant Professor Oct 2025 - PresentCSE Dept., IIT Hyderabad. |
Postdoctoral Researcher May 2024 - Aug 2025TU Darmstadt, Germany.Host: Prof. Carsten Binnig |
Research Scientist Aug 2022 - Feb 2024IBM Research, Bengaluru. |
Technical Project Leader Aug 2016 - Aug 2017Huawei Technologies, Bengaluru. |
Education
Ph.D. - Computer Science and Engineering 2017 - 2022Indian Institute of Science, Bangalore.Advisor: Prof. Jayant Haritsa Thesis: Hydra: A Dynamic Approach to Database Regeneration. |
M.E. - Computer Science and Engineering 2014 - 2016Indian Institute of Science, Bangalore. |
B.Tech. - Information Technology 2010 - 2014Jaypee Institute of Information Technology, NOIDA. |
Publications
Unveiling Challenges for LLMs in Enterprise Data Engineering |
| J. Bodensohn, U. Brackmann, L. Vogel, A. Sanghi, and C. Binnig to be presented in 52nd Intl. Conf. on Very Large Data Bases (VLDB), Boston, MA, USA, 2026 [in press] |
Beyond Row Counts: Enhancing Workload-Aware Data Synthesis |
| A. Sanghi EDBT Workshop: 27th Intl. Workshop on Design, Optimization, Languages and Analytical Processing of Big Data (DOLAP), Barcelona, Spain, March 2025. |
LLMs for Enterprise Data Engineering |
| J. Bodensohn, L. Vogel, A. Sanghi, and C. Binnig ELLIS Workshop on Representation Learning and Generative Models for Structured Data, Amsterdam, Netherlands, February 2025 |
Automating Enterprise Data Engineering with LLMs |
| J. Bodensohn, U. Brackmann, L. Vogel, A. Sanghi, and C. Binnig NeurIPS Workshop: Table Representation Learning Workshop (TRL), Vancouver, Canada, December 2024. |
LLMs for Data Engineering on Enterprise Data |
| J. Bodensohn, U. Brackmann, L. Vogel, M. Urban, A. Sanghi, and C. Binnig VLDB Workshop: Tabular Data Analysis Workshop (TaDA), Guangzhou, China, September 2024. |
Surprise Benchmarking: The Why, What, and How |
| L. Benson, C. Binnig, J. Bodensohn, F. Lorenzi, J. Luo, D. Porobic, T. Rabl, A. Sanghi, R. Sears, P. Tözün, and T. Ziegler (alphabetically sorted) SIGMOD Workshop: 10th Intl. Workshop on Testing Database Systems (DBTest), Santiago, Chile, June 2024. |
Tabular Data Synthesis with GANs for Adaptive AI Models |
| S. Hans*, A. Sanghi*, and D. Saha Proc. of 7th Joint Intl. Conf. on Data Science & Management of Data (CODS-COMAD), Bangalore, India, January 2024. * (equal contribution) |
Synthetic Data Generation for Enterprise DBMS (tutorial) |
| A. Sanghi, and J. Haritsa Proc. of 39th IEEE Intl. Conf. on Data Engineering (ICDE), Anaheim, California, USA, April 2023. |
Semantic Automation for Data Discovery (tutorial) |
| Rajmohan C, R. Chaudhuri, B. Ganesan, A. Sanghi, A. Agarwal, and S. Mehta Proc. of 6th Joint Intl. Conf. on Data Science & Management of Data (CODS-COMAD), January 2023. |
Projection-Compliant Database Generation |
| A. Sanghi, S. Ahmed, and J. Haritsa PVLDB Journal, 15(5), January 2022, pgs. 998-1010 presented in 48th Intl. Conf. on Very Large Data Bases (VLDB), Sydney, Australia, September 2022 |
Towards Generating HiFi Databases |
| A. Sanghi, Rajkumar S., and J. Haritsa Proc. of 26th Intl. Conf. on Database Systems for Advanced Applications (DASFAA), Taipei, Taiwan ROC, April 2021 |
HYDRA: A Dynamic Big Data Regenerator (demo) |
| A. Sanghi, R. Sood, D. Singh, J. Haritsa, and S. Tirthapura PVLDB Journal, 11(12), August 2018, pgs. 1974-1977 presented in 44th Intl. Conf. on Very Large Data Bases (VLDB), Rio de Janeiro, Brazil, August 2018 |
Scalable and Dynamic Regeneration of Big Data Volumes |
| A. Sanghi, R. Sood, J. Haritsa, and S. Tirthapura
Proc. of 21st Intl. Conf. on Extending DataBase Technology (EDBT), Vienna, Austria, March 2018 |
Achievements
- Our paper received the Best Short Paper Award at VLDB Workshop on Tabular Data Analysis (TaDA), Aug. 2024.
- Received Distinguished Reviewer Award for Applied Data Science Research Track, CODS-COMAD, 2024.
- Awarded IBM PhD Fellowship 2019. Thanks IBM!
- Received Microsoft Research Travel Grant and VLDB Travel Fellowship to visit VLDB 2018, Rio de Janeiro, Brazil, and VLDB 2022, Sydney, Australia.
- Received Best Poster Award at the Young Researchers' Symposium, CoDS-COMAD 2018.
- Received the Future Star Award 2017 at Huawei Technologies India Pvt. Ltd.
Service
- Proceedings co-chair for SIGMOD 2026.
- Program committee member in SIGMOD 2026, VLDB 2026, EDBT 2026 (demo track), DBTest 2024, CODS-COMAD 2024 (Jan. edition), CODS-COMAD 2024 (Dec. edition).
- Participant of the Dagstuhl Seminar on Challenges and Opportunities of Table Representation Learning, 2025.
- Participant of the Dagstuhl Seminar on Ensuring Reliability and Robustness of Database Management Systems, in 2021 and 2023.
- Member of the Diversity Council at IBM Research, India, 2023-24.
- Session Chair for Benchmarking, Performance Modeling, Tuning, and Testing at ICDE 2023.
- Member of the Student Welfare Committee at CSA Dept, IISc during 2020-2022.