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Master of Science in
Information Science

Faculty

H.D.R., University of Lyon
Ph.D., Computer Science, National Institute of Applied Sciences (INSA-Lyon)
M.S., Mathematical Modeling and Scientific Software Engineering, Francophone University Agency
M.S., Computer Science, Lebanese University
B.S., Computer Science, Lebanese University

Dr. Youakim Badr, associate professor of data analytics, teaches courses in analytics programming, analytics systems design, data mining and predictive analytics. His research interests include smart service computing, IoT, information security, big data, machine learning, and built-in analytics. Dr. Badr is a professional member of IEEE, a lifetime member of ACM, and associate member of the ACM special interest group on knowledge discovery and data mining (SIGKDD).

Ph.D., Computer Science, University of Missouri
MBA, Finance and Management Information Systems, University of Missouri
B.S., Industrial Engineering, University of Bucharest

Dr. Adrian S. Barb, associate professor of information science, teaches databases, data mining, and big data courses. He has worked as a database programmer analyst as well as a web developer at University of Missouri. His research interests include data mining, knowledge discovery in databases, knowledge representation and exchange in content-based retrieval systems, semantic modeling and retrieval, conceptual change, ontology integration, and expert-in-the-loop knowledge generation and exchange.

Ph.D., Computer and Information Science, New Jersey Institute of Technology
M.S., Computer Engineering, Villanova University
B.S., Electrical Engineering and Math, Penn State

Dr. Joanna F. DeFranco is an assistant professor of software engineering. She has worked as an electronics engineer for the Navy and as a software engineer at Motorola. Her research interests include software engineering teams, effective teamwork, Internet of Things, and software-intensive critical systems.

Ph.D., Computer Science, Stevens Institute of Technology
M.B.A., University of Colorado
M.Eng., Electrical Engineering, Stevens Institute of Technology
B.S., Systems Planning and Management, Stevens Institute of Technology

Dr. Phillip A. Laplante is a professor of software and systems engineering. He has an extensive list of publications and deep practical experience in requirements engineering, development, testing, and project management for a variety of complex systems, including safety critical and embedded ones. He is widely recognized for work in real-time systems, real-time imaging, and applications in the Internet of Things. He is also a pioneer in licensing of software engineers, having led the development and acceptance of the first licensure exam for software engineers in the United States.

Ph.D., Information and Technology, Penn State
M.S., Computer Science, University of Tulsa
M.Tech., Computer Science, Indian Statistical Institute
B.Eng., Mechanical Engineering, Jadavpur University

Dr. Partha Mukherjee, assistant professor of data analytics, teaches courses in analytics programming, data mining, predictive analytics, and analytics systems design. He is a member of ACM, ACEEE, AIS, AiR, and ASE, and has published papers in peer-reviewed IEEE, Elsevier, and ACM Journals and conferences. Dr. Mukherjee’s research interests include social computing, web analytics, data mining, e-commerce, and natural language processing with a focus on text simplification.

Ph.D., Software and Systems Engineering, University of Wales Swansea
M.Sc., Communications Systems, University of Wales Swansea
B.Eng., Electrical Engineering, University of Wales Swansea

Dr. Colin Neill is an associate professor of software engineering and systems engineering. He teaches many courses in software and systems engineering and project management. He is the author of more than 80 articles on the development and evolution of complex software and systems and their management and governance. Dr. Neill is a senior member of the IEEE and a member of INCOSE, and he serves as associate editor-in-chief of Innovations in Systems and Software Engineering.

Ph.D., Industrial Engineering, Penn State
Ph.D., (Minor), Computer Science, Penn State
M.S., Numerical Control, Beijing Institute of Technology, China
B.S., Mechanical Engineering, Beijing Institute of Technology, China

Dr. Robin G. Qiu is a professor of information science at Penn State. He teaches courses on data analytics, information science, software engineering, and cyber security. Dr. Qiu's research includes smart service systems, IoT, big data, data/business analytics, information systems and integration, supply chain and industrial systems, and analytics. He served as the editor-in-chief of INFORMS Service Science. He is an associate editor of IEEE Transactions on Systems, Man, and Cybernetics and IEEE Transactions on Industrial Informatics, and has more than 160 publications.

Ph.D., Computer and Information Sciences, CST, Temple University
M.Sc. and B.Sc., Electrical Engineering - Systems Control, University of Belgrade, Serbia

Dr. Dusan Ramljak, assistant teaching professor of information science, teaches courses on information science, data science, storage systems, and emerging technologies. He has been applying data science on storage systems in NSF IUCRC projects with HPE, Dell, Huawei, and other companies and has more than 20 years of system administration experience facilitating business and research in the U.S., Portugal, and Serbia. His research interests include solving challenging storage systems, provenance, and caching problems, and developing and integrating distributed and parallel data mining and statistical learning technology for an efficient knowledge discovery at large sequence and temporal databases.

Ph.D., Computer and Information Sciences, Temple University
M.S., Computer Science, West Chester University
B.S., Genetics and Plant Breeding, Haryana Agricultural University

Dr. Raghvinder S. Sangwan is an associate professor of software engineering. His teaching and research involve analysis, design, and development of software-intensive systems and their architecture, and automatic/semi-automatic approaches to assessment of their design and code complexity. He actively consults for Siemens Corporate Technology in Princeton, New Jersey, and holds a visiting scientist appointment at the Software Engineering Institute at Carnegie Mellon University in Pittsburgh, Pennsylvania. He is a senior member of the IEEE and ACM.

Ph.D., Information Technology, University of Nebraska at Omaha
M.S., Industrial Engineering and Management, Indian Institute of Technology, Kharagpur
B.S., Information Technology, Bharathidasan University

Dr. Satish Srinivasan is an assistant professor of information science in the engineering division at Penn State Great Valley. He teaches courses related to database design, data mining, data collection and cleaning, design and implementation of predictive analytics system, network and web securities, and business process management. His research interests include social network analysis, data mining, machine learning, big data and predictive analytics and bioinformatics.

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