Kaustubh Beedkar

Assistant Professor

Indian Institute of Technology Delhi

Welcome

I am an Assistant Professor in the Department of Computer Science & Engineering at the Indian Insitute of Technology, Delhi. Prior to joining IIT Delhi, I spent close to six years at the Technische Universität (TU) Berlin, where I worked as a Senior Researcher with Prof. Volker Markl in the Database Systems and Information Management (DIMA) Group and at the Berlin Institute for the Foundations of Learning and Data(BIFOLD).

I received my PhD in Computer Science from the University of Mannheim, Germany, where I worked with Prof. Rainer Gemulla in the Data and Web Science Group. Previously, I was a researcher in the Databases and Information Systems group at the Max Planck Institute for Informatics in Saarbrücken, Germany.

Research Interests

Compliant Query Processing
Cross-platform Data Processing
Geo-distributed Data Management
Data Systems

Education

PhD in Computer Science, 2012 -- 2016

Univeristy of Mannheim, Mannheim, Germany

Max-Planck-Institute for Informatics, Saarbrücken, Germany
MS in Computer Science, 2007 -- 2008

Georgia Institute of Technology, Atlanta, USA
B.Tech. in Information Technology, 2003 -- 2007

Amrita School of Engineering, Coimbatore, India

Latest News

[Mar 2025] Serving on the Review Board for PVLDB Volume 19; Intl. Conference on Very Large Data Bases (VLDB 2026)

[Mar 2025] Serving on the program committee of Intl. Workshop on Tabular Data Analysis (TaDA) 2025; co-located with VLDB 2025

[Feb 2025] Serving on the program committee of Intl. Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA) 2025; co-located with ACM SIGMOD/PODS 2025

[Feb 2025] Paper Fast and Scalable Data Transfer across Data Systems has been accepted for publication in ACM SIGMOD 2025 to be held in Berlin, Germany.

[Jan 2025] Serving on the program committee of ACM SIGMOD 2026

[Dec 2024] Demo Popper: A Dataflow System for In-Flight Error Handling in Machine Learning Workflows has been accepted for publication in IEEE ICDE 2025 to be held in Hong Kong.

[Dec 2024] I have accepted to be a reviewer for ACM India Pingala Interactions in Computing 2025.

[Nov 2024] Paper Incremental Stream Query Placement in Massively Distributed and Volatile Infrastructures has been accepted for publication in ICDE 2025 to be held in Hong Kong.

[Nov 2024] I have joined the Yardi School of Artificial Intelligence as an associate faculty.

[Nov 2024] I am organizing a Winter School on Data Systems from December 2 – 6.

[Nov 2024] Serving on the program committee of ICDE 2025 Demo Track.

[Oct 2024] I am serving as Web Co-chair for ACM SIGMOD 2026 to be held in Bangalore, India.

[Sept 2024] I have joined The Amar Nath and Shashi Khosla School of Information Technology as an associate faculty.

[Aug 2024] Paper Disclosure-compliant Query Answering has been accepted for publication in SIGMOD 2025 to be held in Berlin, Germany.

[July 2024] Delivered a talk on Compliance-aware Data Access and Processing at Microsoft in Bangalore, India

[July 2024] Serving on the program committee of ICDE 2025

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Recent Publications

Haralampos Gavriilidis, Kaustubh Beedkar, Matthias Boehm, Volker Markl (2025). Fast and Scalable Data Transfer across Data Systems. In SIGMOD 2025 (to appear).

Ankit Chaudhary, Kaustubh Beedkar, Jeyhun Karimov, Felix Lang, Steffen Zeuch, Volker Markl (2024). Incremental Stream Query Placement in Massively Distributed and Volatile Infrastructures. In ICDE 2025 (to appear).

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Rudi Poepsel-Lemaitre, Kaustubh Beedkar, Volker Markl (2024). Disclosure-compliant Query Answering. In SIGMOD 2025.

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Lennart Behme, Sainyam Galhotra, Kaustubh Beedkar, Volker Markl (2024). Fainder: A Fast and Accurate Index for Distribution-Aware Dataset Search. In VLDB 2024.

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Adeel Aslam, Kaustubh Beedkar, Giovanni Simonini (2024). SPO-Join: Efficient Stream Inequality Join. In EDBT 2025.

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Abhilash Jindal, Kaustubh Beedkar, Vishal Singh, Nausheen Mohammed, Tushar Singla, Aman Gupta, Keerti Choudhary (2024). Reactive Dataflow for Inflight Error Handling in ML Workflows. In DEEM@SIGMOD.

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Kaustubh Beedkar, Bertty Contreras-Rojas, Haralampos Gavriilidis, Zoi Kaoudi, Volker Markl, Rodrigo Pardo-Meza, Jorge-Arnulfo Quiané-Ruiz (2023). Apache Wayang: A Unified Data Analytics Framework. In SIGMOD Record.

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Teaching

COL362/632 Introduction to Data Management Systems

📆 Holi Semester 2025

🕰 Tue, Wed, & Fri 10:00 – 11:00

📍 LH 308

See past course offering

Contact

<firstname>[dot]<lastname>[at]cse[dot]iitd[dot]ac[dot]in
+91 (11) 2659 1321
IIA-431 Bharti Building
Department of Computer Science & Engineering
Indian Institute of Technology Delhi
Hauz Khas, New Delhi 110016