Joseph M. Hellerstein

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Contact Information

789 Soda Hall

tel: 510-643-4011
fax: 642-5615

Links

Personal Homepage

Publications

Dissertations

Research Support

Vanessa Lopez
lopezv@berkeley.edu

Biography

Joseph M. Hellerstein

is a Professor of Computer Science at the University of California, Berkeley,
whose work focuses on data-centric systems and the way they drive computing.
He is an
ACM Fellow,

an

Alfred P. Sloan Research Fellow

and the recipient of two

ACM-SIGMOD "Test of Time"

awards for his research.
In 2010, Fortune Magazine included him in their list of 50

smartest people in technology
, and MIT's Technology Review magazine included his work on

Distributed Programming

on their 2010

TR10

list of the 10 technologies "most likely to change our world". Key ideas from his research have been incorporated into commercial and open-source software from IBM, Oracle, and PostgreSQL. He is a past director of Intel Research Berkeley, and currently serves on the technical advisory boards of a number of computing and Internet companies.

Education

1995, Ph.D., Computer Science, University of Wisconsin-Madison

1992, MS, Computer Science, UC Berkeley

1990, AB, Computer Science, Harvard University

Research Areas

Database Management Systems (DBMS)

Operating Systems & Networking (OSNT)

Research Centers

Berkeley Center for Responsible, Decentralized Intelligence (RDI) (RDI)

EPIC Data lab (EPIC)

S. Shankar, R. Garcia, J. M. Hellerstein, and A. Parameswaran, " "We have no idea how models will behave in production until production": How engineers operationalize machine learning," Vol. 8, 2024.
R. Garcia, A. Dandamudi, G. Matute, L. Wan, J. Gonzalez, J. M. Hellerstein, and K. Sen, "FlorDB: Multiversion Hindsight Logging for Continuous Training," March 2024.
R. Garcia, E. Liu, V. Sreekanti, B. Yan, A. Dandamudi, J. Gonzalez, J. M. Hellerstein, and K. Sen, "Hindsight Logging for Model Training," in Proceedings of the VLDB Endowment, Vol. 14, 2021, pp. 682-693.
J. M. Hellerstein, "Quantitative Data Cleaning for Large Databases," Jan. 2008.
J. M. Hellerstein, M. Stonebraker, and J. Hamilton, "Architecture of a Database System," in Foundations and Trends in Databases, J. M. Hellerstein, Ed., Foundations and Trends, Vol. 1, Hanover, MA: now publishers inc., 2007, pp. 141-259.
B. T. Loo, T. Condie, J. M. Hellerstein, P. Maniatis, T. Roscoe, and I. Stoica, "Implementing declarative overlays," ACM SIGOPS Operating Systems Review, vol. 39, no. 5, pp. 75-90, Dec. 2005.
S. R. Madden, M. Franklin, J. M. Hellerstein, and W. Hong, "TinyDB: An acquisitional query processing system for sensor networks," ACM Trans. Database Systems: Special Issue: Best papers of SIGMOD/PODS 2003, vol. 30, no. 1, pp. 122-173, March 2005.
S. R. Madden, M. Franklin, J. M. Hellerstein, and W. Hong, "TAG: A Tiny AGgregation service for ad hoc sensor networks," in Proc. 5th Symp. on Operating Systems Design and Implementation (OSDI '02), Berkeley, CA: USENIX Association, 2002, pp. 131-146.
R. Avnur and J. M. Hellerstein, "Eddies: Continuously adaptive query processing," ACM SIGMOD Record, vol. 29, no. 2, pp. 261-272, June 2000.
P. J. Haas and J. M. Hellerstein, "Ripple joins for online aggregation (Best Paper in Computer Science, IBM Research)," ACM SIGMOD Record, vol. 28, no. 2, pp. 287-298, June 1999.
J. M. Hellerstein, P. J. Haas, and H. J. Wang, "Online aggregation (Winner, 2007 ACM SIGMOD Test of Time Award)," in Proc. 1997 ACM SIGMOD Intl. Conf. on Management of Data (SIGMOD '97), J. M. Peckman, S. Ram, and M. Franklin, Eds., New York, NY: The Association for Computing Machinery, Inc., 1997, pp. 171-182.
J. M. Hellerstein, J. F. Naughton, and A. Pfeffer, "Generalized search trees for database systems," in Proc. 21st Intl. Conf. on Very Large Data Bases, U. Dayal, P. M. D. Gray, and S. Nishio, Eds., San Francisco, CA: Morgan Kaufmann, 1995, pp. 562-573.
H. Pirahesh, J. M. Hellerstein, and W. Hasan, "Extensible/rule-based Query Rewrite optimization in Starburst (Winner, 2002 ACM SIGMOD Test of Time Award)," in Proc. 1992 ACM SIGMOD Intl. Conf. on Management of Data (SIGMOD '92), M. Stonebraker, Ed., New York, NY: The Association for Computing Machinery, Inc., 1992, pp. 39-48.

ACM SIGMOD Edgar F. Codd Innovations Award, 2023
VLDB Test of Time Award, 2023
IEEE VIS Test of Time Award, 2022
Jim and Donna Gray Award for Excellence in Undergraduate Teaching of Computer Science, 2015
ACM SIGMOD Test of Time Award, 2013
MIT Tech Review Top 10 Breakthrough Technologies (TR10), 2010
Association for Computing Machinery (ACM) Fellow, 2009
ACM SIGMOD Test of Time Award, 2007
ACM SIGMOD Test of Time Award, 2002
MIT Tech Review Top 100 Innovators Under 35 (TR100), 1999
IBM Pat Goldberg Memorial Best Paper Award, 1999
Sloan Research Fellow, 1998
Okawa Research Grant, 1997
NSF Faculty Early Career Development Award (CAREER), 1997

Joseph M. Hellerstein: Faculty Home Page