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Daniel P. Lopresti
Professor,
Computer Science and Engineering
Chair
Emeritus, Computing Research
Association's
Computing Community
Consortium
(CCC)
Past-President,
International Association for
Pattern
Recognition (IAPR)
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Lehigh University
113 Research Drive
Bethlehem, PA 18015 USA
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Phone:
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(610)
758-5782
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Email*:
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Office:
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Mountaintop
Building
C 337
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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.
| Recent News of Note |
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CRA Computing
Community Consortium Council
Since 2015, I have served on the Computing
Community Consortium Council of the Computing Research
Association.
I assumed the role of Vice
Chair of CCC beginning in July 2020, and
the Chair
of CCC beginning in July 2022. By virtue
of serving as CCC Chair, I was also a member of
the CRA
Board of Directors. Effective July 2024, I
transitioned to the role of Chair
Emeritus.
Over the past several years, I have assisted in
co-authoring a large number of CCC whitepapers
and RFI responses working with many computing
research leaders from around the country,
including:
- "Computing
Research Challenges in Next Generation
Wireless Networking," E. Bertino
(Purdue University), D. Bliss (Arizona State
University), D. Lopresti (Lehigh
University), L. Peterson (Princeton
University), and H. Schulzrinne (Columbia
University), October 2020.
- "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.
- "Pandemic
Informatics: Preparation, Robustness and
Resilience," E. Bradley (University of
Colorado Boulder), W. Gropp (University of
Illinois at Urbana–Champaign), D. Lopresti
(Lehigh University), M. Marathe (University
of Virginia), and M. Moses (University of
New Mexico), November 2020. Also
addenda: "Pandemic
Informatics: Vaccine Distribution,
Logistics, and Prioritization," March
2021; "Pandemic
Informatics: Variants of Concern
(VOC)," April 2021.
- "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.
- "Next
Wave Artificial Intelligence:
Robust, Explainable, Adaptable, Ethical,
and Accountable," O. C. Jenkins
(University of Michigan), D. Lopresti
(Lehigh University), and M. Mitchell
(Portland State University and Santa Fe
Institute), November 2020.
- "A
National Research Agenda for Intelligent
Infrastructure: 2021 Update," D.
Lopresti (Lehigh University) and S. Shekhar
(University of Minnesota), December 2020.
- "A
National Discovery Cloud: Preparing
the US for Global Competitiveness in the
New Era of 21st Century Digital
Transformation" (CCC Whitepaper), I.
Foster (Argonne National Laboratory and
University of Chicago), D. Lopresti (Lehigh
University), W. Gropp (University of
Illinois Urbana-Champaign), M. Hill
(Microsoft and University of Wisconsin,
Madison), and K. Schuman (Oak Ridge National
Laboratory), April 2021.
- "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.
- "Response
to White House National Cyber Director
Requests Feedback on Open-source Software
Security" (CCC RFI Response), Kevin
Butler (University of Florida), David Danks
(University of California, San Diego),
Daniel Lopresti (Lehigh University), and
Madeline Hunter (Computing Community
Consortium), October 2023.
- "Response
to the Office of Management and Budget's
Request for Comments on Advancing
Governance, Innovation, and Risk
Management for Agency Use of Artificial
Intelligence Draft Memorandum" (CCC
RFI Response), David Danks (University of
California, San Diego), Haley Griffin
(Computing Community Consortium), David
Jensen (University of Massachusetts
Amherst), Chandra Krintz (University of
California Santa Barbara), Daniel Lopresti
(Lehigh University), Rajmohan
Rajaraman (Northeastern University), Matthew
Turk (Toyota Technological Institute at
Chicago), and Holly Yanco (University of
Massachusetts, Lowell), December 2023.
- "Response
to the Request for Information (RFI)
Related to NIST’s Assignments Under
Sections 4.1, 4.5 and 11 of the Executive
Order Concerning Artificial Intelligence
(Sections 4.1, 4.5, and 11)" (CCC RFI
Response), David Danks (University of
California, San Diego), Catherine Gill
(Computing Community
Consortium), Daniel Lopresti (Lehigh
University), Rajmohan Rajaraman
(Northeastern University), Michela Taufer
(University of Tennessee, Knoxville), Ufuk
Topcu (University of Texas, Austin), Matthew
Turk (Toyota Technological Institute at
Chicago), and Holly Yanco (University of
Massachusetts, Lowell), February 2024.
- "Response
to the National Telecommunications and
Information Administration (NTIA) Request
for Information: Dual Use Foundation
Artificial Intelligence Models With Widely
Available Model Weights" (CCC RFI
Response), Markus Buehler (Massachusetts
Institute of Technology), David Danks
(University of California, San Diego), Casey
Fiesler (University of Colorado, Boulder),
Catherine Gill (Computing Community
Consortium), Daniel Lopresti (Lehigh
University), and Duncan Watson-Parris
(University of California, San Diego), April
2024.
- "Response
to the National Institute of Justice's
Request for Input on Section 7.1(b) of
Executive Order 14110, "Safe, Secure, and
Trustworthy Development and Use of
Artificial Intelligence"" (CCC RFI
Response), Nadya Bliss (Arizona State
University), Kevin Butler (University of
Florida), David Danks (University of
California, San Diego), Stephanie Forrest
(Arizona State University), Catherine Gill
(Computing Community Consortium), Daniel
Lopresti (Lehigh University), Mary Lou Maher
(Computing Community Consortium), Helena
Mentis
(University of Maryland, Baltimore County),
Cris Moore (Santa Fe Institute), Shashi
Shekhar (University of Minnesota), Amanda
Stent (Colby College), and Matthew Turk
(Toyota Technological Institute at Chicago),
May 2024.
- "Response
to the Defense Industrial Base Adoption of
Artificial Intelligence for Defense
Applications; Notice of Availability"
(CCC RFI Response), Alex Aiken (Stanford
University), Nadya Bliss (Arizona State
University), David Danks (University of
California, San Diego), Catherine Gill
(Computing Community Consortium), David
Jensen (University of Massachusetts
Amherst), Daniel Lopresti (Lehigh
University), Mary Lou Maher (Computing
Community Consortium), Cristopher Moore
(Santa Fe Institute), William Regli
(University of Maryland), and Matthew Turk
(Toyota Technological Institute at Chicago),
July 2024.
- "Response
to the Networking and Information
Technology Research and Development
Request for Information on Digital Twins
Research and Development" (CCC RFI
Response), David Danks (University of
California, San Diego), Catherine Gill
(Computing Community Consortium), Chandra
Krintz (University of California, Santa
Barbara), Brian LaMacchia (Farcaster
Consulting Group), Daniel Lopresti (Lehigh
University), Mary Lou Maher (Computing
Community Consortium), Pamela Wisniewski
(Vanderbilt University), July 2024.
Check out CCC's seminal work on "A
20-Year Community Roadmap for Artificial
Intelligence Research in the US" (May/June
2019).
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.
Check out the CCC
Catalyzing Computing Podcast series!
And also the very important Computing
Innovation Fellows (CIFellows) Program for
2021.
In October 2021, I helped to organize the CCC
Hybrid Workshop on Best Practices for Hybrid
Workshops with my colleagues Sujata
Banerjee, Maria Gini, and Holly Yanko. Here is a
link to the workshop report: “‘Meta
Hybrid’ Visioning Activity Report Out”.
I was co-organizer of a panel session we
presented at AAAS 2022
entitled "Intelligent
Infrastructure for All: Challenges and
Opportunities."
In July 2024, I assisted in organizing the CCC
Workshop on the Future of Information
Retrieval Research in the Age of Generative AI
which was co-chaired by James Allen, Eunsol
Choi, and Hamed Zamani in Washington, DC.
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International Association
for Pattern Recognition
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. |
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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.
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Cybersecurity
I was interviewed by Rob Manch for a story on
cyberattacks on physical infrastructure which
appeared on 69 News (WFMZ-TV) on November 28,
2023. Click here
to watch the video. |
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Northeast Big Data
Innovation Hub
I am happy to was invited to serve on the
Seed Fund Steering Committee for the Northeast Big
Data Innovation Hub. We provided two
rounds of awards to some amazing projects in
2020 and 2021. Click here
to read about the awardees.
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Northampton County
Election Commission
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.
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CODE 8.7 Conference @ UN
Headquarters
Along with colleagues from the Computing Research
Association's CCC, as well as UN University
Delta 8.7, The Alan
Turing Institute, Tech
Against Trafficking, and others, I helped
organize the CODE 8.7 Conference on Using
Computational Science and Artificial
Intelligence to End Modern Slavery. This took
place in February 2019 at UN Headquarters in New
York City. Click here
for more details. To access a 30-minute CCC
podcast we recorded right after the conference,
click here.
See, too, the CCC blog posting "Code
8.7: How We Can Advance Collaborative Problem
Solving."
I also helped organize a followup workshop in
Washington, DC, in March 2020: CCC
/ Code 8.7 Workshop on Applying AI in the
Fight Against Modern Slavery.
Here is the final report from that workshop:
- "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.
Check out "Artificial
Intelligence and the Fight Against Human
Trafficking" to read a Lehigh story about
the work we are doing.
And also check out the upcoming panel
session at the AI for Good Global Summit
on February 24, 2021.
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New Publications!
Check out the new books I helped edit with
colleagues:
- Reproducible
Research in Pattern Recognition:
Fourth International Workshop,
Lecture Notes in Computer Science Vol.
14068, B. Kerautret, M. Colom, A.
Krähenbühl, D. Lopresti, P. Monasse, and B.
Perret (editors), Springer Nature, 2023.
- Proceedings
of the Sixteenth International
Conference on Document Analysis and
Recognition, Lecture Notes in
Computer Science Vols. 12821-12824, J.
Lladós, D. Lopresti, and S. Uchida
(editors), Springer Nature, 2021.
Or directly accessing the four volumes:
- Reproducible
Research in Pattern Recognition:
Third International Workshop,
Lecture Notes in Computer Science Vol.
12636, B. Kerautret, M. Colom, A.
Krähenbühl, D. Lopresti, P. Monasse, and H.
Talbot (editors), Springer Nature, 2021.
- Document
Analysis Systems, Vol. 12116, X.
Bai, D. Karatzas, and D. Lopresti (editors),
Springer Nature, 2020.
- Reproducible
Research in Pattern Recognition:
Second International Workshop,
Lecture Notes in Computer Science Vol.
11455, B. Kerautret, M. Colom, D. Lopresti,
P. Monasse, and H. Talbot (editors),
Springer Nature, 2019.
And a recent special issue of IJDAR I co-edited:
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TCFPGA Hall of
Fame Class of 2018
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.
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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 |
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Lehigh Silicon
Valley
Once again I led the Software
Engineering
Track for the highly successful Lehigh
Silicon Valley Program (LSV++). I created
the track in 2017 in collaboration with the
leaders of the innovative Baker
Institute. For 2018, we visited Lawrence
Livermore National Laboratory, OSIsoft, Adobe, Cisco, Google, Plug
and Play Tech Center, and Bracket Computing.
And in 2019, we visited OhmniLabs /
Kambria, OSIsoft, Cisco, Adobe, Google, and
Facebook.
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Nano/Human
Interfaces
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.
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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.
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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 was honored to play a role in the renovation
of Building C. To view the slides for a talk I
was invited to give, click here
(this is a big PDF file). Here's a recent
article about the project in Tradeline: From
Steel to Software: Repurposing an Industrial
Building for Education.
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Mountaintop
Experiential Learning Environment
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.
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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. |
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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.
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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.
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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).
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* 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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