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IBM Research

Work with Universities

Computer Science


Overview

Our research extends beyond the boundaries of our labs. We work with our colleagues in university labs and regularly publish papers with them. We also foster collaborative relationships through Fellowships, grants, and shared research programs.

Collaborations

Tracking Database Disclosures: A Comparative Study (2006)
Alexandre Evfimievski and Jerry Kiernan and Syracuse University
Numerous widely publicized cases of theft and misuse of private information underscore the need for auditing technology to determine sources of unauthorized disclosure. Prior work on auditing merely identifies the subset of queries that have disclosed the information specified by the auditor. We propose a novel auditing methodology that ranks potential disclosure sources to prioritize their subsequent investigation. Our collaboration with Syracuse University facilitates the invention and comparative study of several conceptually different ranking algorithms.

Probabilistic OLAP (2006)
Avatar research group and University of Wisconsin-Madison
Raghu Ramakrishnan at University of Wisconsin on Probabilisitc OLAP. This work has resulted in a paper in VLDB 2005, an invited paper to VLDB journal and a submission. Collaboration through Doug Burdick a Ph.D. student at Wisconsin.

Adaptive Query Processing (2006)
Vijayshankar Raman and University of Maryland and UC Berkeley
We collaborate with Prof. Amol Deshpande (U. Maryland) and Prof Joe Hellerstein (UC Berkeley) on problems in adaptive query processing and optimization. This includes analysing and comparing existing adaptive query processing techniques, and further research into adaptive tuple routing strategies.

More Collaborations

University Faculty at IBM

  • Professor Alvaro, University of Manchester (2006)
  • Professor Norman Paton, University of Manchester (2005)
  • Professor K. Selcuk Candan, Arizona State University (2004)

IBM Researchers at Universities

Peter Haas at Stanford University (2006)
Peter Haas is currently a Consulting Associate Professor in the Department of Management Science and Engineering at Stanford. He has been teaching an annual graduate course on Computer Simulation for the past eight years. He also pursues joint research with Prof. Peter Glynn on modeling and simulation of discrete-event stochastic systems, as well as on methods for failure prediction in complex software systems.

Peter Haas at University of Wisconsin-Madison (1993)
During the 1992-93 academic year, Peter Haas was an Honorary Fellow at the Center for Math Sciences at the University of Wisconsin-Madison, where he pursued research on both database sampling and discrete-event stochastic processes.

 
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