Li-Chiou Chen, Professor and Chair, Department of Information Technology.
Dr. Chen conducts research in the areas of web application security, usability and security compliance. Her current research has been focused on the impact of policy and managerial decisions on countering computer attacks on the Internet. Specific topics include: web application vulnerability testing, web security usability, and security regulatory compliance. She has taught numerous courses on the theory and practice of information security, and developed hands-on information security laboratory modules. Dr. Chen is the principal investigator and program director of two cybersecurity scholarship programs at Pace – the National Science Foundation CyberCorps: Scholarship for Service Program and the Department of Defense Information Assurance Scholarship Program. These programs educate Pace students to become trusted cybersecurity professionals for the government.
Dr. Chen earned a PhD in Engineering and Public Policy from Carnegie Mellon University (CMU).
Prior to working at Pace, Dr. Chen was affiliated with the Center for Computational Analysis of Social and Organizational Systems (CASOS) at CMU. While at CMU, she built a computational simulation tool to investigate policy decisions in countering distributed denial-of-service attacks. In addition, she participated in a DARPA-funded research project, BioWar, where she analyzed policy decisions to respond against the spread of biological agents.
Dr. Chen has published papers in top academic journals, including Computer & Security, Decision Support Systems and IEEE Transactions.
Lixin Tao, Professor and Chair, Department of Computer Science.
Dr. Tao has a track record for quality sponsored research. He has consulted for MITRE Corporation (mitre.org, federal funded IT research centers on defense, aviation, IRS, homeland security and U.S. courts); Bell Atlantic (now Verizon); and Fleet Boston (now Bank of America) on CORBA and Application-Service-Provider model of computing, a predecessor of today’s utility computing and cloud computing. As an international pioneer on cloud computing, Dr. Tao consulted for USAA on the use of cloud technology to deliver financial services to soldiers on aircraft carriers and in foreign territories.
Dr. Tao earned a PhD in Computer Science from the University of Pennsylvania.
Before he joined Pace in 2001, he was Associate Professor of Computer Science with Concordia University in Montreal for eight years. Dr. Tao was PI for the Environment for Portable Parallel Programming project sponsored by Strategic Technology Program of Industry, Science and Technology Canada, Digital, and IBM, with a budget of $4.2 million per year.
Dr. Tao is an IEEE senior member, and an ABET national program evaluator for computer science. Dr. Tao has published over 200 papers in refereed international journals, and conference proceedings in areas such as Internet and web computing, cloud and utility computing, XML and semantic web, operations research and combinatorial optimization, parallel and distributed computing, functional simulation, and computing education.
Charles C. Tappert, Clinical Professor, Department of Computer Science.
Dr. Tappert has three main areas of research: pattern recognition/data mining, natural language processing, and security. Within pattern recognition/data mining, he is particularly interested in machine learning, biometrics, and interactive visual image studies. Within security, he is especially interested in forensics studies and information assurance education, as well as biometrics.
Dr. Tappert is the Associate Program Chair of the Doctor of Professional Studies (DPS) in Computing program at Seidenberg. Students work on real-world projects for actual customers involving both external organizations and internal university schools/departments. In recent years, many of these internal projects have been designed to create the necessary infrastructure for doctoral students to conduct their research.
Dr. Tappert earned a PhD in Electrical Engineering from Cornell University.
Prior to Pace, Dr. Tappert worked on speech and handwriting recognition at IBM for over two decades, where he was the principal investigator on six government contracts in speech recognition. He spearheaded development of the ThinkWrite handwriting recognizer in IBM's ThinkPad product and holds nine patents. After IBM, he taught at the U.S. Military Academy at West Point for seven years, where he was the director of a projects course in which the cadets built computer information systems for various departments at the academy. For several summers, he was the principal investigator on projects investigating wearable computing equipment at the Aberdeen Army Research Laboratory. Dr. Tappert has over 150 publications in peer reviewed publications in prestigious international journals and conferences.
Paul Benjamin, Professor, Department of Computer Science.
Dr. Benjamin has been the Principal Investigator on a number of grants from the NSF, AFOSR, ARO, DOE and DARPA. These projects include development of the CSISM cybersecurity agent in collaboration with BBN Technologies. He holds patents in database security and intrusion detection. His research focuses on issues of problem solving and representation in cognitive architectures, especially on reformulation to improve problem solving. He edited the first book in this area, Change of Representation and Inductive Bias. Dr. Benjamin and his research group at Pace are developing cognitive agents in cybersecurity and robotics. Dr. Benjamin also serves as the Director of the Robotics Lab in NYC.
Dr. Benjamin earned a PhD in Computer Science from New York University.
Prior to working in academia, Dr. Benjamin worked in industry as project leader in artificial intelligence and machine learning.
Sung-Hyuk Cha, Professor, Department of Computer Science.
Dr. Cha’s main interests include biometrics, computer vision, data mining, and pattern matching and recognition. “Distance between Distributions with Special Topologies of Cost Matrices” in the Journal of Pattern Recognition Research is an example of one of his over 100 publications in pattern recognition and related fields.
Dr. Cha earned a PhD in Computer Science from the State University of New York at Buffalo.
During his PhD years at the Center of Excellence for Document Analysis and Recognition (CEDAR), his major contributions included a dichotomy model to establish the individuality of handwriting, distance measures on histograms and strings, and a nearest neighbor search algorithm. He is a member of AAAI, IEEE and its Computer Society, and IS&T.
Belgacem Raggad, Professor, Department of Information Technology.
Dr Raggad has received several internal and external grants to conduct scholarly research. His research interest is in intelligent decision support and information security.
Dr. Raggad earned a PhD in Information Management from Pennsylvania State University.
He has written several books in the area of information assurance, including Information security management: Concepts and practice, published by CRC Press. He has published primarily in refereed journals, including the Journal of CIS, Managerial Decision, Journal of Management and Information Processing, Managerial Finance, and the Journal of Data and Industrial Systems. “CRM Information Assurance by Adding Specificity” was published in the International Journal of Computer Science and Network Security.
James Gabberty, Professor, Department of Information Technology.
Dr. Gabberty’s professional specialties include strategic business systems planning and IT competitiveness development, and InfoSec policy & planning development. He is currently active in the information security industry, where he serves a consultant to industry at large, both in the capacity of advisor to senior executives as well as serving as an expert witness in litigation cases.
Dr. Gabberty earned a DPS in International Business and Information Systems from Pace University.
Prior to Pace, he helped build large-scale systems in the banking & brokerage industry in New York City’s financial community.
He holds the following certifications from SANS & ISACA: CISA, CISM, CRISC, GISP, GSEC, GCIH, GLEG, GSLC.
Dr. Gabberty is a Senior Member of ACM, as well as a member of ISSA, BTCIA, Infragard, and MS-ISAC. An avid author of many IT and Telecommunication publications, Dr. Gabberty has been featured in American Banker, CSO Magazine, BusinessWeek, The Economist, Wired magazine, as well as numerous other academic and professional journals such as the Multinational Business Review and Journal of Economics & Business Research.
Richard Nemes, Associate Professor, Department of Computer Science.
Dr. Nemes has 40 years of experience in computer science, which includes industrial and academic research, design of software architectures and algorithms, development of commercial software products, development of patentable inventions, and teaching university level graduate and undergraduate courses.
Dr. Nemes earned a PhD in Computer Science from City University of New York.
He has held faculty positions at Brooklyn College of the City University of New York, Rutgers University. In addition, he was a member of the technical staff at Bell Communications Research, an arm of Bell Labs, a mathematician at the U.S. Geological Survey, and an engineer at NASA-Ames Research Center in California.
Dr. Nemes holds eight software patents, with an additional two that are currently pending.