I am a researcher in the database group at Microsoft Research. My current focus is mainly on research into stream processing systems, in the context of Microsoft StreamInsight. I am interested in databases and distributed systems, with particular interest in the following research areas:

Stream processing systems
Publish/subscribe systems and continuous queries
Computational advertising, learning, and data mining
Query processing and optimization
Distributed systems and distributed data management
Pervasive access to data and applications
Approximate distributed query processing

Latest News

Our research paper on temporal analytics on big data has won the best paper award at the ICDE 2012 conference! I will upload the slides shortly.

A demo on recent work on "Cloud-Edge" will appear at SIGMOD 2012.

Badrish Chandramouli, Joris Claessens, Suman Nath, Ivo Santos, and Wenchao Zhou. RACE: Real-time Applications over Cloud-Edge. In Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data (SIGMOD '12), Scottsdale, Arizona, USA, May 2012. [pdf]
Acceptance rate: n/a

Two research papers will appear at ICDE 2012!

Badrish Chandramouli, Jonathan Goldstein, and Songyun Duan. Temporal Analytics on Big Data for Web Advertising. In Proceedings of the 28th International Conference on Data Engineering (ICDE '12), Washington DC, USA, April 2012 (to appear). [pdf] [tech-report]
Badrish Chandramouli, David Maier, and Jonathan Goldstein. Physically Independent Stream Merging. In Proceedings of the 28th International Conference on Data Engineering (ICDE '12), Washington DC, USA, April 2012 (to appear). [pdf] [tech-report]

Click here for a full list of my publications.

Work Experience

2008-present: Researcher, Microsoft Research, Redmond, WA.
Summer 2005: Research Intern, IBM T. J. Watson Research Center, NY.
Summer 2004: Research Intern, IBM T. J. Watson Research Center, NY.
2000-2002: Software Design Engineer, Texas Instruments Research and Development Center (India).

Education

Ph.D. Computer Science, Duke University (2008)
Topic: Unifying Databases and Internet-Scale Publish/Subscribe
Advisor: Dr. Jun Yang
Nominated for SIGMOD best dissertation award.
M.S. Computer Science, Duke University (2004)
Topic: Distributed network querying: reducing costs by providing approximate answers
Advisors: Dr. Jun Yang and Dr. Amin Vahdat
Outstanding Research Initiation Project Award, Duke University.
B.E. Computer Science, VJTI, Mumbai, India (2000)
Distinction with overall rank among top three.