Daniel P. Lopresti
Computer Science and Engineering
International Association for
Computing Research Association's
Community Consortium (CCC)
113 Research Drive
Bethlehem, PA 18015 USA
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.
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.
Lopresti currently serves as the President of the
International Association for Pattern Recognition (IAPR). He is also
currently the Vice Chair of the Computing Research
Association’s Computing Community Consortium (CCC). 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
He has co-authored over 150 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
Community Consortium Council
Since 2015, I have served on the Computing
Community Consortium Council of the Computing Research
I assumed the role of Vice
Chair of CCC beginning in July 2020.
CCC is rolling 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,
Check out this CCC
blog posting and see the full list of
whitepapers as they are released here.
Research Challenges in Next Generation
Wireless Networking," Elisa Bertino
(Purdue University), Daniel Bliss (Arizona
State University), Daniel Lopresti (Lehigh
University), Larry Peterson (Princeton
University), and Henning Schulzrinne
(Columbia University), October 2020.
Research Ecosystem for Secure Computing,"
Nadya Bliss (Arizona State University),
Lawrence A. Gordon (University of Maryland),
Daniel Lopresti (Lehigh University), Fred
Schneider (Cornell University), and Suresh
Venkatasubramanian (University of Utah),
Informatics: Preparation, Robustness and
Resilience," Elizabeth Bradley
(University of Colorado Boulder), William
Gropp (University of Illinois at
Urbana–Champaign), Daniel Lopresti (Lehigh
University), Madhav Marathe (University of
Virginia), and Melanie Moses (University of
New Mexico), November 2020. Also
Informatics: Vaccine Distribution,
Logistics, and Prioritization," March
Informatics: Variants of Concern
(VOC)," April 2021.
Intelligence and Cooperation," Elisa
Bertino (Purdue University), Finale
Doshi-Velez (Harvard University), Maria Gini
(University of Minnesota), Daniel Lopresti
(Lehigh University), and David Parkes
(Harvard University), November 2020.
Wave Artificial Intelligence:
Robust, Explainable, Adaptable, Ethical,
and Accountable," Odest Chadwicke
Jenkins (University of Michigan), Daniel
Lopresti (Lehigh University), and Melanie
Mitchell (Portland State University and
Santa Fe Institute), November 2020.
National Research Agenda for Intelligent
Infrastructure: 2021 Update,"
Daniel Lopresti (Lehigh University) and
Shashi Shekhar (University of Minnesota),
National Discovery Cloud: Preparing
the US for Global Competitiveness in the
New Era of 21st Century Digital
Transformation" (CCC Whitepaper), Ian
Foster (Argonne National Laboratory and
University of Chicago), Daniel Lopresti
(Lehigh University), Bill Gropp (University
of Illinois Urbana-Champaign), Mark Hill
(Microsoft and University of Wisconsin,
Madison), and Katie Schuman (Oak Ridge
National Laboratory), April 2021.
Check out our recent work on "A
20-Year Community Roadmap for Artificial
Intelligence Research in the US" (May/June
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.
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 recently announced Computing
Innovation Fellows (CIFellows) Program for
In October 2021, I am helping to organize the CCC
Hybrid Workshop on Best Practices for Hybrid
Workshops with my colleagues Sujata
Banerjee, Maria Gini, and Holly Yanko.
for Pattern Recognition
At the ICPR
2020 conference in Milan (virtual), I was
elected President of IAPR. I had
previously been elected to serve as IAPR
Treasurer at ICPR
2018 in Beijing. I am also serving on the
Executive Committee during this time.
Northeast Big Data
I am happy to have been invited to serve on the
Seed Fund Steering Committee for the Northeast Big
Data Innovation Hub. Click here to see our
first round of awards, and click here
for our next Call for Proposals which are due
October 1, 2021.
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
CODE 8.7 Conference @ UN
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,
See, too, the CCC blog posting "Code
8.7: How We Can Advance Collaborative Problem
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:
Check out "Artificial
Intelligence and the Fight Against Human
Trafficking" to read a Lehigh story about
the work we are doing.
- "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.
And also check out the upcoming panel
session at the AI for Good Global Summit
on February 24, 2021.
Check out the new books I helped edit with
And a recent special issue of IJDAR I co-edited:
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:
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.
Analysis Systems, Vol. 12116, X.
Bai, D. Karatzas, and D. Lopresti (editors),
Springer Nature, 2020.
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.
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.
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
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
Once again I led the Software
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
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
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.
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.
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.
New Paradigm for
Pattern Recognition Research
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.
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.
For other past news on the e-voting issue, click
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, which has been
in progress for several years now.
A recent ruling
by the judge in the case has set the stage
for independent examination of
Pennsylvania's e-voting systems. The details
are now being worked out by parties from
The PERFECT Project
We recently wrapped up 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."
for the PERFECT project website.
For access to an important new collection of
scanned ballot images from a real election,
We have 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:
Lang from Biological Sciences and I led a
team of student researchers in a 2014 Biosystems
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
email address is expressed in image format to make it
more difficult for "bots" to harvest it for spam