Adrian S. Barb, Ph.D.
Adrian S. Barb, associate professor of information science, received his BS in industrial engineering from the University of Bucharest. He earned his Ph.D. in computer science and MBA from the University of Missouri, where he also worked as a database programmer-analyst and web system coordinator. Dr. Barb teaches database management and information retrieval. His research interests include database management systems, knowledge discovery in databases, database indexing, knowledge representation and exchange in content-based retrieval systems, semantic modeling and retrieval, conceptual change in knowledge-based systems, ontology integration, and expert-in-the-loop knowledge exchange. His research interests include data mining, software estimation, database management systems, knowledge discovery in databases, database indexing, knowledge representation and exchange in content-based retrieval systems, semantic modeling and retrieval, conceptual change in knowledge-base systems, ontology integration, and expert-in-the-loop knowledge exchange.
Joanna F. DeFranco, Ph.D.
Joanna F. DeFranco, assistant professor of software engineering, earned her doctorate in computer and information sciences from New Jersey Institute of Technology, a master of science in computer engineering from Villanova University, and a bachelor of science in electrical engineering from Penn State University. She has worked as an Electronics Engineer for the Navy as well as a Software Engineer at Motorola. Her research interests include software engineering teams, effective teamwork, internet of things, and software-intensive critical systems.
Mohamad Kassab, Ph.D.
Mohamad Kassab, assistant professor of software engineering, received his Ph.D. and MS degrees in computer science from Concordia University in Montreal, Canada. He holds a BS in computer science from the University of Windsor in Canada and BEng. in computer engineering from Lebanon American University. He was an adjunct assistant professor in the department of computer science and software engineering at Concordia University and a postdoctoral researcher in software engineering at Université du Quebec. Dr. Kassab has published extensively in software engineering books and journals. Previously, he worked as a senior quality engineer at SAP, senior associate at Morgan Stanley, senior quality assurance specialist at Nokia and as a senior software developer at Positron Systems. In Canada. Dr. Kassab’s research includes requirements engineering, software/system architecture, software measurements, aspect-orientation, and The Internet of Things (IoT). He teaches courses in requirements engineering, software testing, software architecture and software system design.
Phillip A. Laplante, Ph.D.
Phillip A. Laplante, professor of software and systems engineering and registered professional engineer (PE), earned his Ph.D. in computer science, MEng. in electrical engineering, and BS in systems planning and management all from Stevens Institute of Technology. He also earned an M.B.A. from the University of Colorado. Dr. Laplante teaches courses in software and systems engineering including project management, software testing, and requirements engineering. Prior to arriving at Penn State he was a software engineer, entrepreneur, and senior academic administrator (dean and president). His career accomplishments include leading the effort to create the exam to license professional software engineers in the US, defining the hybrid discipline of real-time image processing, and writing the first text on real-time systems engineering. His research currently focuses on safety-critical software engineering and the Internet of Things and is a visiting scientist at the US National Institute of Standards and Technology (NIST). He has published more than 250 articles and 32 books.
Colin J. Neill, Ph.D.
Colin Neill, associate professor of software engineering and systems engineering and Director of engineering programs, earned his doctorate in software and systems engineering, M.Sc. in communication systems, and BEng in electrical engineering from the University of Wales, Swansea, United Kingdom. He teaches many courses in software and systems engineering, project management, and systems thinking. Prior to joining Penn State, Dr. Neill worked on time and mission-critical system modeling and design manufacturing systems and production management with the University of Wales, Swansea; Oxford University; the Rover Car Company; and British Aerospace. He is the author of over 80 articles on the development and evolution of complex software and systems and the management and governance thereof. Dr. Neill is a Senior Member of the IEEE, a member of INCOSE, and serves as associate editor-in-chief of Innovations in Systems and Software Engineering. As Director of Engineering Programs, Dr. Neill oversees the Division’s portfolio of graduate degree programs delivered both in residence and online.
Robin Guanghua Qiu, Ph.D.
Robin G. Qiu, professor of information science, earned his Ph.D. in industrial engineering from Penn State and his MS and BS from Beijing Institute of Technology, China. He teaches courses on data analytics, information science, software engineering, computer security, and enterprise service computing. Dr. Qiu’s research includes Service Science, Smart Service Systems, Big Data, Data/Business Analytics, Service Operations and Management, Information Systems and Integration, Supply Chain Management, and Control and Management of Manufacturing Systems. Dr. Qiu 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.
Sally Sue Richmond,senior lecturer in information science, earned her MS in information science at Penn State Great Valley and her BA in art at Penn State University. She teaches courses in human- computer interaction, computer organization, embedded systems, telecommunications, networking, software development life cycle, and IS architecture. Richmond acquired extensive industry experience in a broad range of IS positions, such as systems analyst, network analyst, project manager, and manager of network operations. Her research interests include human–computer interaction, teamwork and collaboration, and engineering education.
Raghvinder S. Sangwan, Ph.D.
Raghvinder S. Sangwan, associate professor of software engineering, holds a doctorate in computer and information sciences from Temple University. He joined Penn State in 2003 after more than seven-years in industry, where he worked mostly with large software-intensive systems in the domains of health care, automation, transportation, and mining. His teaching and research involve analysis, design, and development of software systems, their architecture, and automatic and semi-automatic approaches to assessment of their design and code quality, and he has several peer-reviewed publications in these areas.Dr. Sangwan actively consults for Siemens Corporate Research in Princeton, New Jersey, and also holds a visiting scientist appointment at the Software Engineering Institute at Carnegie Mellon University in Pittsburgh, Pennsylvania. He is also a senior member of the IEEE and the Association for Computing Machinery (ACM).
Satish Srinivasan, Ph.D.
Satish M. Srinivasan, assistant professor of information science, received his BE in Information Technology from Bharathidasan University, India and M.S. in Industrial Engineering and Management from the Indian Institute of Technology Kharagpur, India. He earned his Ph.D. in Information Technology from the University of Nebraska at Omaha. Prior to joining Penn State Great Valley, he worked as a postdoctoral research associate at University of Nebraska Medical Center, Omaha. Dr. Srinivasan teaches courses related to database design, data mining, data collection and cleaning, computer, network and web securities, and business process management. His research interests include data aggregation in partially connected networks, fault- tolerance, software engineering, social network analysis, data mining, machine learning, Big Data and predictive analytics and bioinformatics.