Elisa Barney SmithElisa Barney Smith
Associate Professor
Department of Electrical and Computer Engineering
Boise State University
Boise, ID 83725

Dr. Elisa Barney Smith received a B.S. in Computer Science from Rensselaer Polytechnic Institute, Troy, NY. She received the M.S. and Ph.D. degrees in Electrical, Computer and Systems Engineering in 1989 and 1998, respectively, also from RPI. From 1989 to 1993 she worked as an engineer at the Naval Undersea Warfare Center in New London, CT. In 1993, she worked at the NATO SACLANT Centre in LaSpezia, Italy. Her work at both NUWC and SACLANT Centre involved designing automatic target classification algorithms and systems that utilize passive acoustic data. She joined the Electrical and Computer Engineering faculty at Boise State University in September 1999.

Elisa's research focuses on image processing and pattern recognition. Much of that work is concerned with modeling and analysis of image degradations introduced during printing and scanning processes. She also has several projects related to image registration of document images as well as of astronomical and biomedical images. In 2003 she was awarded an NSF CAREER grant for her research on Document Image Degradations, and she has served as PI on several other projects related to image processing.

Chris BorickChristopher Borick
Associate Professor
Department of Political Science
Muhlenberg College
Allentown, PA
Daniel LoprestiDaniel Lopresti
Associate Professor
Department of Computer Science and Engineering
Lehigh University
19 Memorial Drive West
Bethlehem, PA 18015

Dan Lopresti received his bachelor's degree from Dartmouth College in 1982 and his Ph.D. in computer science from Princeton University in 1987. He served on the faculty of the Computer Science Department at Brown University, then went on to help found the Matsushita Information Technology Laboratory in Princeton, and later served on the research staff at Bell Labs in Murray Hill, NJ. In 2003, Dan joined the Computer Science and Engineering Department at Lehigh where he leads a group examining fundamental research questions in pattern recognition, bioinformatics, and cybersecurity.

Since 2006, Dan been studying issues concerning electronic voting in Pennsylvania and around the country. He has met with state and local officials, lectured publicly on numerous occasions, and also appeared on radio and TV. Dan serves as an expert witness in a pending state-wide lawsuit challenging the use of paperless electronic voting machines in Pennsylvania. A number of students at Lehigh have worked with him on various aspects of e-voting, including conducting detailed studies of machines they have acquired through government surplus auctions. Dan is co-principal investigator on an National Science Foundation grant funded though their CyberTrust program which is titled “Following the Paper Trail: Reliable Processing of Voting Records for Trustworthy Elections.”
Ziad MunsonZiad Munson
Assistant Professor
Department of Sociology and Anthropology
Lehigh University
681 Taylor Street
Bethlehem, PA 18015

George NagyGeorge Nagy
Department of Electrical, Computer, and Systems Engineering
6020 Johnsson Engineering Center
Rensselaer Polytechnic Institute
Troy, NY 12180-3590

George Nagy received the B.Eng. and M.Eng. degrees from McGill University, and the PhD in Electrical Engineering from Cornell University in 1962 (on neural networks). He was a member of the research staff at the IBM T.J. Watson Research Center in Yorktown Heights. then Professor of Computer Science at the University of Nebraska - Lincoln. Since 1985 he has been Professor of Computer Engineering at Rensselaer Polytechnic Institute. He has held a dozen visiting appointments in six countries, advised twenty-two doctoral students, and published over 300 survey and research papers.

His primary research interest is the development of systems that improve with use for visual pattern recognition, document image analysis, web-based ontologies, and character recognition. As a co-principal investigator of a National Science Foundation CyberTrust grant titled "Following the Paper Trail: Reliable Processing of Voting Records for Trustworthy Elections," he is conducting research on test data generation, whole-ballot mark recognition, bias-free mark classification, and camera-based ballot counting devices.

Anne Miller
Rensselaer Polytechnic Institute
Troy, NY 12180-3590

Anne Miller is a graduate student at Rensselaer Polytechnic Institute. She developed a set of synthesized ballot images for testing mark-reading software. Click here to access the sample ballots Anne created.
Semih Demirbag
Lehigh University
Bethlehem, PA 18015

Semih conducted independent study research during the Fall 2007 semester disassembling a Danaher / Shouptronic 1242 DRE we had obtained at Lehigh through a government surplus auction website. He graduated from Lehigh in May 2008 with a degree in Computer Science. Click here to view Semih's final project poster.
Nicholas Hinnerschitz
Lehigh University
Bethlehem, PA 18015

Nick created the prototype web interface for the ballot generator during the Spring 2008 semester of his senior year. He received his Bachelor’s degree in Computer Engineering from Lehigh in May 2008 and moved on to a full time position with Lockheed Martin Advanced Technology Laboratories. Click here to access Nick's ballot generator interface (a login is required to run the system).
Joe Siefers
Lehigh University
Bethlehem, PA 18015

During the Spring 2008 semester, Joe performed an analysis of the firmware used
in a Danaher / Shouptronic 1242 DRE we had obtained at Lehigh through a government surplus auction website. He received his Bachelor’s degree in Computer Engineering from Lehigh in May 2008 and is planning to begin graduate studies at Lehigh in Fall 2008. Click here to read a draft version of Joe's final project report.

PERFECT is an acronym that stands for "Paper and Electronic Records for Elections: Cultivating Trust." PERFECT is a multidisciplinary research effort aimed at studying the reliable processing of paper ballots and other hardcopy election records. Participating institutions include Lehigh University, Boise State University, Muhlenberg College, and Rensselaer Polytechnic Institute. Click here to return to the PERFECT homepage.

NSF logo
PERFECT is funded in part by the National Science Foundation under award numbers NSF-0716368, NSF-0716393, NSF-0716647, NSF-0716543. Any opinions, findings, and conclusions or recommendations expressed on this website are the investigators' and do not necessarily reflect those of the National Science Foundation.