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Surajit Chaudhuri
Distinguished Scientist
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D-Core
Research Interests
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ACM_Citations
USA-2005
For contributions to database query processing and optimization.
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Bio
I am a Distinguished Scientist at Microsoft Research, Redmond. My technical work is done in collaboration with members of the Data Management, Exploration and Mining group. Prior to joining Microsoft Research in Jan 1996, I worked at HP Labs, Palo Alto. I received my Ph.D. from Stanford University and my B.Tech. from IIT, Kharagpur.
Research Interests
Auto-Tuning for Cloud Database Systems
Multi-Tenant Cloud Database Systems
Data Transformation/Wrangling
Approximate Query Processing
Enterprise Search over Structured Data
Research Interests
Auto-Tuning for Cloud Database Systems
Multi-Tenant Cloud Database Systems
Data Transformation/Wrangling
Approximate Query Processing
Enterprise Search over Structured Data
Papers394 papers
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SIGMOD/PODS '20: International Conference on Management of Data
Portland
OR
..., pp.411-414, (2020)
very large data bases, no. 12 (2020): 2215-2228
Proc. VLDB Endow., no. 11 (2020): 2215-2228
Proc. VLDB Endow., no. 11 (2020): 2368-2381
Daniel Abadi,Anastasia Ailamaki, David Andersen,Peter Bailis,Magdalena Balazinska,Philip Bernstein, Peter Boncz,Surajit Chaudhuri, Alvin Cheung,AnHai Doan, Luna Dong,Michael J. Franklin
Sigmod Record, no. 4 (2020): 44-53
SIGMOD/PODS '20: International Conference on Management of Data
Portland
OR
..., pp.2011-2026, (2020)
very large data bases, no. 12 (2020): 2368-2381
Sudipto Das, Miroslav Grbic, Igor Ilic, Isidora Jovandic, Andrija Jovanovic,Vivek R. Narasayya, Miodrag Radulovic, Maja Stikic, Gaoxiang Xu,Surajit Chaudhuri
Proceedings of the 2019 International Conference on Management of Data, pp.666-679, (2019)
Proceedings of the 2019 International Conference on Management of Data, pp.2072-2072, (2019)
Commun. ACM, no. 2 (2019): 107-107
Proceedings of the 2019 International Conference on Management of Data, pp.1241-1258, (2019)
Proceedings of The Vldb Endowment, (2019): 252-265
national conference on artificial intelligence, (2019)
Daniel Abadi,Anastasia Ailamaki, David Andersen,Peter Bailis,Magdalena Balazinska,Philip Bernstein, Peter Boncz,Surajit Chaudhuri, Alvin Cheung,AnHai Doan, Luna Dong,Michael J. Franklin
Special Interest Group on Management of Data, no. 4 (2019): 44-53
Proceedings of the VLDB Endowment, no. 9 (2019): 1044-1057
very large data bases, no. 12 (2019): 2131-2142
PVLDB, no. 12 (2019): 2106-2117
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