Professor,
Computer Science and Engineering Chair,
Computing Research Association's
Computing
Community Consortium (CCC)
Past-President,
International Association for
Pattern
Recognition (IAPR)
Lehigh University
113 Research Drive
Bethlehem, PA 18015 USA
Phone:
(610)
758-5782
Email*:
Office:
Mountaintop
Building
C 337
Daniel
Lopresti received his bachelor's degree from Dartmouth
in 1982 and his Ph.D. in computer science from
Princeton in 1987. After completing his doctorate, he
joined the Department of Computer Science at Brown and
taught courses ranging from VLSI design to
computational aspects of molecular biology and
conducted research in parallel computing and VLSI CAD.
He went on to help found the Matsushita Information
Technology Laboratory in Princeton, and later also
served on the research staff at Bell Labs where his
work turned to document analysis, handwriting
recognition, and biometric security.
In
2003, Dr. Lopresti joined the Department of
Computer Science and Engineering at Lehigh where
his research examines fundamental algorithmic and
systems-related questions in pattern recognition,
bioinformatics, and security. On July 1, 2009, he
became Chair of the CSE Department and occupied the
position for 10 years through several reappointments
ending on June 30, 2019. Beginning on July 1, 2014, he
served as Interim Dean of the P. C.
Rossin College of Engineering and Applied Science
for a year. On July 1, 2015, he was named Director of
the Data X
strategic initiative, a role he held until June 2020.
Dr.
Lopresti is also currently Chair of the Computing
Research Association’s Computing Community Consortium
(CCC). He served as
President of the International Association for Pattern
Recognition (IAPR)
from 2021-22, and now holds the formal role of
Past-President. He is an Editor-in-Chief of the
International Journal of Document Analysis and
Recognition (IJDAR),
and as an Area Editor for Computer Vision and Image
Understanding (CVIU).
He has co-authored over 175 peer-reviewed
publications, and is a named co-inventor on 24 U.S.
patents. Over his career, Dr. Lopresti has mentored
more than 70 undergraduate and graduate students and
postdocs, and personally facilitated professional
networking connections for hundreds more.
CCC rolled out a series of over a dozen
policy-oriented whitepapers (which we call "quad
papers") in October and November of 2020
incorporating contributions from a large number
of computing research leaders from around the
country. I helped write several of them,
including:
"A
Research Ecosystem for Secure Computing,"
N. Bliss (Arizona State University), L. A.
Gordon (University of Maryland), D. Lopresti
(Lehigh University), F. Schneider (Cornell
University), and S. Venkatasubramanian
(University of Utah), November 2020.
"Artificial
Intelligence and Cooperation," E.
Bertino (Purdue University), F. Doshi-Velez
(Harvard University), M. Gini (University of
Minnesota), D. Lopresti (Lehigh University),
and D. Parkes (Harvard University), November
2020.
"Response
to RFI on Public and Private Sector Uses
of Biometric Technologies" (CCC RFI
Response), D. Danks (University of
California San Diego), M. Gini (University
of Minnesota), O. C. Jenkins (University of
Michigan), D. Lopresti (Lehigh University),
M. Mitchell (Santa Fe Institute), and K.
Siek (Indiana University, Bloomington),
January 2022.
"Response
to RFI to the Update of the National
Artificial Intelligence Research and
Development Strategic Plan" (CCC RFI
Response), D. Danks (University of
California San Diego), M. Gini (University
of Minnesota), O. C. Jenkins (University of
Michigan), S. Koenig (University of Southern
California), D. Lopresti (Lehigh
University), M. Mitchell (Santa Fe
Institute), K. Siek (Indiana University,
Bloomington), U. Topcu (University of Texas
at Austin), H. Yanco (University of
Massachusetts Lowell), and M. Hunter
(Computing Community Consortium), March
2022.
"Response
to RFI on AI Accountability Policy"
(CCC RFI Response), N. Bliss (Arizona State
University), D. Danks (University of
California San Diego), M. Gini (University
of Minnesota), J. Gorman (Arizona State
University), W. Gropp (University of
Illinois Urbana-Champaign), M. Hunter
(Computing Community Consortium), O. C.
Jenkins (University of Michigan), D. Jensen
(University of Massachusetts Amherst), D.
Lopresti (Lehigh University), B.
Selman (Cornell University), U. Topcu
(University of Texas at Austin), T. Toscos
(Parkview Health), and P. Wisniewski
(Vanderbilt University), June 2023.
"Response
to RFI on National Priorities for
Artificial Intelligence" (CCC RFI
Response), J. Biddle (Georgia Institute of
Technology), E. Bradley (University of
Colorado Boulder), D. Danks (University of
California San Diego), M. Gini (University
of Minnesota), A.K. Goel (Georgia Institute
of Technology), A. Guha (Northeastern
University), M. Hunter (Computing Community
Consortium), D. Jensen (University of
Massachusetts Amherst), S. Koenig
(University of Southern California), C.
Krintz (University of California-Santa
Barbara), D. Lopresti (Lehigh University),
A. McGovern (University of Oklahoma), D.
Molzahn (Georgia Institute of Technology),
R. Rajaraman (Northeastern University), A.
Singh (Carnegie Mellon University), M. Turk
(Toyota Technological Institute at Chicago),
and H. Yanco (University of Massachusetts
Lowell), July 2023.
"Response
to PCAST Working Group on Generative AI
Invites Public Input" (CCC RFI
Response), Maria Gini (University of
Minnesota), Madeline Hunter (Computing
Community Consortium), Sven Koenig
(University of Southern California), Daniel
Lopresti (Lehigh University), Rajmohan
Rajaraman (Northeastern University), Ufuk
Topcu (The University of Texas at Austin),
Matthew Turk (Toyota Technological Institute
at Chicago), and Holly Yanco (University of
Massachusetts Lowell), July 2023.
"Response
to RFI on Developing a Roadmap for the
Directorate for Technology, Innovation,
and Partnerships at the National Science
Foundation" (CCC and GAC RFI
Response), Alex Aiken (Stanford University),
Nadya Bliss (Arizona State University),
Elizabeth Bradley (University of Colorado,
Boulder), Kevin Butler (University of
Florida), Tracy Camp (Computing Research
Association), David Danks (University of
California, San Diego), Catherine Gill
(Computing Community Consortium), William
Gropp (University of Illinois,
Urbana-Champaign), Peter Harsha (Computing
Research Association), Chandra Krintz
(University of California, Santa Barbara),
Brian LaMacchia (Farcaster Consulting Group,
LLC), Daniel Lopresti (Lehigh University),
Brian Mosley (Computing Research
Association), Ann Schwartz (Computing
Community Consortium), Katie Siek (Indiana
University), Michela Taufer (University of
Tennessee, Knoxville), Ufuk Topcu
(University of Texas, Austin), Pamela
Wisniewski (Vanderbilt University), and
Holly Yanco (University of Massachusetts,
Lowell), July 2023.
CCC presented during a number of panels at AAAS
2020 in Seattle -- click here
for details. A nice Lehigh story about my
involvement can be found here.
And here
is a link to a CCC blog posting about the AI
Roadmap panel I was involved in.
At the ICPR
2020 conference in Milan (virtual), I was
elected President of IAPR and
served in that role for two years after having
previously been elected to serve as Treasurer at
ICPR
2018 in Beijing. I now serve in the role
of Past President. I am also serving on the IAPR Executive
Committee during this time.
Artificial
Intelligence
I was interviewed by Priscilla Liguori for a
four-part series on the impact of AI which
appeared on 69 News (WFMZ-TV) on July 25-28,
2023. Click here
to watch the video.
On September 25, 2023, I appeared as a guest
panelist to discuss generative AI on WFMZ-Ch. 69
Business Matters hosted by Tony Iannelli.
Click here
to watch the segment.
I was interviewed by Priscilla Liguori for a
story on generative AI (“AI experts warn about
fake images being shared amid Israel - Hamas
war”) which appeared on 69 News (WFMZ-TV) on
October 23, 2023. Click here
to watch the video.
Effective January 1, 2020, I have been appointed
as a member of the Northampton
County Election Commission. This is an
incredibly important civic responsibility, at a
time when concerns about the trustworthiness and
the security of our voting systems has never
been higher.
"CCC / Code 8.7
Applying AI in the Fight Against Modern
Slavery" (CCC Whitepaper), Daniel
Lopresti (Lehigh University), Nadya Bliss
(Arizona State University), Mark Briers
(Turing Institute), Alice Eckstein
(UNU-CPR), James Goulding (University of
Nottingham), Anjali Mazumder (Turing
Institute), and Gavin Smith (University of
Nottingham), June 2021.
One of my first papers, co-authored with
colleagues in 1991*, was recently voted into the
TCFPGA Hall of Fame (ACM/SIGDA Technical
Committee on FPGAs). The award presentation took
place at the IEEE
Symposium on Field-Programmable Custom
Computing Machines in April 2018.
* “SPLASH – Experience Building and Programming
a Highly Parallel Programmable Logic Array,” M.
Gokhale, W. Holmes, A. Kopser, S. Lucas, R.
Minnich, D. Sweely, and D. Lopresti, IEEE
Computer, January 1991, pp. 81-89.
Intelligent
Infrastructure
On behalf of the Computing
Reseach Association, I moderated a
Congressional briefing for the House Committee
on Science, Space and Technology on Jan. 30,
2018. Panelists included Henning Schulzrinne
(Columbia University), Matthew Wansley
(nuTonomy), Nadya Bliss (Arizona Statue
University), and Elizabeth Mynatt (Georgia
Tech). Click here
for more details, and here
to read a CRA blog posting about the panel
session.
I also moderated a panel session titled
"Rethinking Approaches to Disaster Management
and Public Safety With Intelligent
Infrastructure" at the Annual
Meeting of the American Association for the
Advancement of Science in Austin, TX on
Feb. 16, 2018. Panelists included Michael
Dunaway (University of Louisiana, Lafayette),
Robin Murphy (Texas A&M University), and
Nalini Venkatasubramanian (University of
California, Irvine). Click here
for more details, and here
to read a CCC blog posting about the panel
session
I am a co-leader of Lehigh's Nano/Human
Interfaces Presidential Engineering Research
Initiative along with Martin Harmer and Jeffrey
Rickman from Materials Science, Anand Jagota
from Bioengineering, and Kate Arrington from
Psychology. Click here
to read the announcement and click here for
the NHI website.
Data X Strategic
Initiative
Data X is a major university-wide strategic
initiative in the area of computing and data
analytics. Among other efforts, the initiative
included new faculty positions in CSE and other
key interdisciplinary areas across the
institution. I served as the Founding Director
of Data X from 2015 through 2020. For the
announcement, click here.
For the Data X homepage, click here.
Lehigh
Mountaintop Building C
For photos of Building C, once part of Bethlehem
Steel's Homer Research Laboratories, click here. After a
major renovation project, the CSE Department
moved into its new home in Building C in January
2018. My office is no longer located in Packard
Lab, it is now BC 215.
I have had significant involvement in the
development of Lehigh's new Mountaintop Project.
For coverage of this activity, which began in
Summer 2013 and continues to grow in size and
scope, click here.
New Paradigm for
Pattern Recognition Research
We are
investigating a fundamentally new approach to
conducting experimental pattern recognition
research. Based on advances made possible by Web
2.0 technologies, our vision addresses a number
of serious issues with the status quo, including
over-reliance on small standard datasets,
implicit bias in testing, and irreproducibility
of experimental results. For more details on
this idea which we call "DARE," click here.
Document Analysis
and Exploitation
We have
had an active research effort in the area of
document analysis and exploitation for several
years now. Much of this work has been conducted
in collaboration with colleagues at BBN
Technologies with funding from DARPA, the
Defense Advanced Research Projects Agency. Henry
Baird and I were principal investigators, but
congressional funding we received expanded the
project to include other colleagues, including
Hank Korth. To read a news article about the
award, click here.
Electronic Voting
I served
as an independent expert in the Banfield v.
Cortés lawsuit challenging the use of
certain electronic voting machines in the
Commonwealth of Pennsylvania. Click here
to learn more about the case.
Click here
for an excellent CCC-led whitepaper titled
"Research Opportunities in Evidence-Based
Elections" by Josh Benaloh, Philip Stark,
Vanessa Teague, Melanie Volkamer, and Dan
Wallach.
The PERFECT Project
A number of years ago we had a modest NSF
CyberTrust grant to study issues surrounding
the reliable processing of voting records,
including paper ballots. Investigators on
the project included George Nagy from RPI,
Elisa Barney Smith from Boise State, Chris
Borick from Muhlenberg, and Ziad Munson and
myself from Lehigh. PERFECT is an acronym
that stands for "Paper and Electronic
Records For Elections: Cultivating Trust."
Click here
for the PERFECT project website.
For access to an important collection of
scanned ballot images from a real election,
click here.
We acquired examples of two full-face
electronic voting systems manufactured by
Danaher and Sequoia. These systems match
those used in several PA counties, and were
purchased from government surplus auctions
on the web. For more information and media
coverage, click below:
For other past news on the e-voting issue, click
here.
Bioinformatics
Greg
Lang from Biological Sciences and I led a
team of student researchers in a 2014 Biosystems
Dynamics
Summer
Institute project. The topic of the
project was "Identification of Driver Mutations
in Experimental Evolution" and derives from
Greg's ongoing research. The Lehigh BDSI is
funded by the Howard Hughes Medical Institute
(HHMI).
* My
email address is expressed in image format to make it
more difficult for "bots" to harvest it for spam
purposes.
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