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Dr. David Maier
maier at pdx dot edu (503)
725 2406 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
Science
Portland State University
Joint appointments:
Visiting Professor, Medical Informatics & Clinical Epidemiology, School of Medicine, OHSU
Recent Courses:
CS 486/586 Introduction to Database Management Systems Fall 2018
CS 410/510 Cloud and Cluster Data Management Fall 2021
CS 669 Scholarship Skills Winter 2022
Contribute to the Richard Kieburtz Memorial Graduate Fellowship.
Research:
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
·
The
Three C’s of Big Data Applications
·
Toward
a Common Programming Model for Big Data
Slides for tutorial on
Dataspaces (with Alon Halevy) from VLDB 2008
·
Day 1
·
Day 2
Ph.D., Electrical Engineering and Computer Science,
Publication List:
My list of publications
from Michael Ley's
DBLP bibliography server at
Citation list at Google Scholar.
Co-author graph at Microsoft Research (requires Silverlight).
My Advice to Mid-Career Researchers: Deciding What Not to Do.
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 Relational Databases.
Winning CIDR Jeopardy
(January 2007), Jim Gray, scorekeeper. [Photo courtesy of Hamid Pirahesh]
Fun Stuff
Last updated 18 March 2024