| Professor and Chair, Department
Computer Science and Engineering
| Director, Data X
19 Memorial Drive West
Bethlehem, PA 18015-3084 USA
|Packard Lab 350
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
on to help found the Matsushita Information Technology Laboratory in
and later also served on the research staff at Bell Labs where his work
turned to document analysis, handwriting recognition, and biometric
In 2003, Dr.
Lopresti joined the Department of
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.
Effective July 1, 2014,
he assumed the role of Interim Dean of the P. C. Rossin College of
Engineering and Applied Science at Lehigh. On July 1, 2015, he
returned to Chair the CSE Department, as
well as to serve as Director of the Data X strategic initiative.
News of Note
Data X Strategic Initiative
Lehigh has announced Data X, a major university-wide strategic
initiative in the area of computing and data analytics. Among other
things, the initiative will include new faculty positions in CSE and
other key thrust areas across the institution. I will be serving as the
Director of Data X. For the announcement, click here. For
the Data X homepage, click here.
CRA Computing Community Consortium Council
Effective July 1, 2015, I will be serving a three year term on the Computing Community Consortium
Council of the Computing Research
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.
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 overreliance 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.
For other past
on the e-voting issue, click here.
I serve 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
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 both sides.
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." Click here
for the PERFECT project website.
For access to an important new collection of scanned ballot images from
a real election, click here
We have acquired examples of two full-face electronic voting systems
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 will be leading a team of
student researchers in a 2014 Biosystems
Summer Institute project. The topic of the project is
"Identification of Driver Mutations in Experimental Evolution" and
derives from Greg's ongoing reseaerch. The Lehigh BDSI is funded
by the Howard Hughes Medical
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