Adrian S. Barb

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.

Nathaniel Bastian

Ph.D., Industrial Engineering and Operations Research, Penn State
M.Eng., Industrial Engineering, Penn State
M.S., Econometrics and Operations Research, Maastricht University
B.S., Engineering Management (Electrical Engineering) with Honors, U.S. Military Academy at West Point

Dr. Nathan Bastian is an instructor of supply chain and information systems. His expertise lies in the discovery and translation of data-driven, actionable insights into effective decisions using mathematics, statistics, engineering, economics, and computational science to develop decision-support models for descriptive, predictive, and prescriptive analytics. His teaching interests lie in the areas of decision analytics, data science, and applied econometrics. His research interests lie in the areas of multiple objective optimization and sequential decision-making under uncertainty.

Mohamad Darayi

Ph.D., Industrial and Systems Engineering, University of Oklahoma
M.S., Industrial Engineering, Tarbiat Modares University
B.S., Industrial Engineering, University of Tabriz

Dr. Mohamad Darayi, assistant professor of systems engineering, focuses his principal research and key publications on infrastructure network resilience and simulation modeling applications in health care, manufacturing, and supply chain management. He teaches courses in system simulation, risk analysis, network modeling, and data analytics.

Ashkan Negahban

Ph.D., Industrial and Systems Engineering, Auburn University
M.E., Industrial and Systems Engineering, Auburn University
B.S., Industrial and Systems Engineering, University of Tehran

Dr. Ashkan Negahban is an assistant professor of engineering management. Prior to joining Penn State, he was an instructor at Auburn University where he taught courses in simulation, probability theory, and statistics. His research interests include the application of different types of simulation (discrete event, agent-based, and Monte Carlo) in design and operation of complex systems. He has developed several e-learning modules that have received worldwide publicity and are used by faculty from leading institutions around the world.

Colin Neill

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, a member of INCOSE, and serves as associate editor-in-chief of Innovations in Systems and Software Engineering.

Robin G. Qiu

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 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.

Raghvinder S. Sangwan

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 involves analysis, design and development of software-intensive systems, 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.

Satish Srinivasan  

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. Dr. Srinivasan 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.

Xi Zhang

Ph.D., Physics, Stevens Institute of Technology
M.S., Electrical Engineering, Shandong University
B.S., Electrical Engineering, Shandong University

Dr. Xi Zhang, assistant professor of data analytics, teaches data mining and foundations of predictive analytics.