Dr. David Maier
maier at cs dot pdx dot edu
Dept. of Computer Science
Portland State University
PO Box 751
Portland, OR 97207-0751
1900 SW 4th
Avenue, Suite 115-14
Portland, OR 97201
Current Travel Schedule:
- San Francisco, 10 – 11 April
- Committee on Data Analytics for DoD
Personnel & Readiness, Washington, DC 3 – 5 May
- Board on Mathematical Sciences and their
Applications, Washington, DC, 7 – 9 May
- XLDB, 19 – 21 May (tentative)
- SIGMOD, 31 May – 4 June (tentative)
- National University of Singapore, 3 July – 17 August,
Professor of Emerging Technologies
Department of Computer Science
Maseeh College of
Engineering & Computer Science
Portland State University
Visiting Professor, Medical Informatics
& Clinical Epidemiolgy, School of Medicine,
CS 410/510DS Data
Streams Winter 2012
CS 410/510 Information
Retrieval and the Internet Spring 2010
CS 410/584 Algorithm Design
& Analysis Spring 2011
CS 589 Principles of
Database Systems Spring 2014
Introduction to Database Management Systems Fall 2014
Cloud and Cluster Data Management Spring 2015
CS 569 Scholarship
Skills Winter 2015
Contribute to the Richard
Kieburtz Memorial Graduate Fellowship.
I am part of the Data and Information
Management Laboratory (Datalab) at PSU.
The Database Reading
Group has been meeting more or less weekly for about 25 years, first at OGI
and now at PSU. We currently meet Fridays at 10:00-11:30am, and welcome
participation by anyone on a regular or occasional basis. Instructions for
signing up are on the group web page.
Research areas I work in include:
- Data Streams. My work with data streams began with
project, which was conducted jointly with University of Wisconsin (Niagara page at UW). That work
has been continued in the latte
project looking at streamed and archived data, in collaboration with the Intelligent Transportation Systems
Laboratory at PSU. A second aspect of this work is Mutant Query Plans, an
alternative to conventional distributed query processing. I have also
participated in research in data streams at Microsoft Research, in
connection with StreamInsight.
- Superimposed Information Management. Superimposed
information (SI) is information placed over existing base sources in order
annotate, link, reorganize, classify or otherwise enhance those sources.
There have been a number of projects over the years developing or
using SI, all in collaboration with Lois
Delcambre. Most recently we have been
looking at its use in the context of digital libraries, as part of the Ensemble project, which we call
Canonical Structures. Past projects include are Sidewalk (joint with
Virginia Tech and Villanova, Overcast
and SPARCE (Superimposed
Pluggable Architecture for Contexts and Excerpts).
- Scientific Information Management. I participate on
the Cyber-Infrastructure team the Science and Technology Center for Coastal Margin Observation & Prediction
(CMOP) at OHSU. Data Near
Here is the main project I’m pursuing with CMOP. I have been involved
with the SciDB
array database project since its inception, and am currently involved in a
project with Brown, MIT, Wisconsin and Washington. My main activity
there is AGRIOS (A Generalized R Interface Over SciDB). SciDB is also a key
component of the Intel Science and Technology Center for Big Data in which I participate. Together with researchers at Washington
and Michigan, I am contributing to the SciFlex
project, which seeks to provide “Database as a Service” for the long-tail
of science. The main conduit for deployment of SciFlex
results is SQLShare.
Another area of work in scientific data management focused on forest canopy research, in
collaboration with Judy
Cushing at The Evergreen State College.
- Declarative Programming: I participate in the
resurgence of Datalog, mainly through
collaborating on temporal and spatial extensions for distributed systems
with Joe Hellerstein’s BOOM group.
Portland State is a
participant in the Intel Science and Technology Center for Big Data
Three C’s of Big Data Applications
a Common Programming Model for Big Data
Slides for tutorial on
Dataspaces (with Alon Halevy) from VLDB 2008
Ph.D., Electrical Engineering and Computer Science, Princeton
of publications from Michael
Ley's DBLP bibliography server at University
of Trier, Germany. Last I checked, I have 344 co-authors.
list at Google Scholar.
graph at Microsoft Research (requires Silverlight).
The best paper I never published.
Online scanned version of The Theory of
Jeopardy (January 2007), Jim Gray, scorekeeper. [Photo courtesy of Hamid Pirahesh]
Last updated 31 March 2015