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.
Shanti Greene
Master of Information and Data Science, University of California, Berkeley
B.A., Psychology, University of Hartford
B.S., Computer Science, Case Western Reserve University
Shanti Greene, a marketing instructor, leads the data science and engineering efforts for a research and development group within Deloitte Risk and Financial Advisory. His team is developing a Platform as a Service (PaaS), Software as a Service (SaaS), and Managed Services product suite that provides businesses insights into key performance metrics. Shanti has shared his marketing analytics expertise consulting for Sears Roebuck and GEICO Direct and instructing at the University of Connecticut and Elon University.
Chelsea Hammond
Ph.D., Communication Science, University of Connecticut
M.L.S., Southern Connecticut State University
B.A., English, Philosophy (Double major), University of Connecticut
Dr. Chelsea Hammond is a clinical assistant professor of marketing and program director of the online Marketing Analytics Certificate. Prior to joining Penn State's Smeal College of Business, she spent more than a decade in the market research and marketing analytics industry where she helped the world's most iconic and well-known brands leverage data to drive business success.
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.
J. Andrew Petersen
Ph.D., Business Administration (Marketing), University of Connecticut
B.A., (with Honors), Economics, University of North Carolina at Chapel Hill
Dr. J. Andrew Petersen is an associate professor of marketing in the Smeal College of Business. His research interests include measuring and maximizing customer/donor lifetime value (CLV/DLV) and customer/donor equity, managing customer product return behavior, measuring the value of word-of- mouth, selling and sales management, and linking marketing metrics to financial performance. His research has been published in many top academic journals including Journal of Marketing, Journal of Marketing Research, Harvard Business Review, MIT Sloan Management Review, and The Wall Street Journal.
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.
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. 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.