Dr. David Maier
maier at pdx dot edu
Dept. of Computer Science
Portland State University
PO Box 751
Portland, OR 97207-0751
1900 SW 4th
Avenue, Suite 115-09
Portland, OR 97201
Current Travel Schedule:
- Out of country, 5–14 December 2023
Maseeh Professor Emeritus
of Emerging Technologies
Department of Computer Science
Maseeh College of Engineering & Computer
Portland State University
Visiting Professor, Medical Informatics
& Clinical Epidemiology, School of Medicine,
Introduction to Database Management Systems Fall 2018
CS 410/510 Cloud and Cluster
Data Management Fall 2021
CS 669 Scholarship Skills
Contribute to the Richard Kieburtz Memorial
I was a General Chair for the 2020
SIGMOD/PODS Conference, in (virtual) Portland, Oregon.
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 35 years, first at OGI
and now at PSU. We have suspended meetings during the COVID-19 pandemic. (The
group has been on hiatus during the pandemic, but might resume in winter of
2023, perhaps on a semi-weekly basis.)
Research areas I work in include:
- I have started collaborating with a new professor at
PDX, Primal Pappachan in the area of database privacy.
- I am investigating various topics with Banafsheh Rekabdar
at the juncture of ML and database systems, such as data productivity and
detection of colluding actors.
- Computational Photography. I am working with Atul Ingle and others in the Computational Imaging Lab on
the EDPHi Project
(Equi-Depth Photon Histograms, pronounced “edify”). We are looking at
bandwidth- and energy-efficient distance imaging with single-photon
cameras. Our approach uses equi-depth histograms and race logic. Our paper on the topic got the
Best Paper award at ICCP 23.
- I collaborate with Arash Termehchy’s IDEA Lab group at Oregon
State. We recently had a paper presented at VLDB 2023: Effective Entity
Augmentation by Querying External Data Sources.
- Data Streams. My work with data streams began with
the NiagaraST 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 joint research 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 was 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
My list of
publications from Michael
Ley's DBLP bibliography server at University
of Trier, Germany. Last I checked, I have 402 co-authors.
at Google Scholar.
graph at Microsoft Research (requires Silverlight).
Check out: Datalog: Concepts, History
and Outlook, David Maier, Tunkay Tekle, Michael Kifer, David S. Warren
The best paper I never published.
Online scanned version of The Theory of
Winning CIDR Jeopardy
(January 2007), Jim Gray, scorekeeper. [Photo courtesy of Hamid Pirahesh]
Last updated 13 November 2023