Data Analytics student working outdoors
Master of Professional Studies in
Data Analytics - Marketing Analytics Option

Faculty

  • Adrian S. Barb
    • Degree
      Ph.D., Computer Science, University of Missouri
    • Degree
      MBA, Finance and Management Information Systems, University of Missouri
    • Degree
      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.

  • Mohamad Darayi
    • Degree
      Ph.D., Industrial and Systems Engineering, University of Oklahoma
    • Degree
      M.S., Industrial Engineering, Tarbiat Modares University
    • Degree
      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.

  • Chelsea Hammond
    • Degree
      Ph.D., Communication Science, University of Connecticut
    • Degree
      M.L.S., Southern Connecticut State University
    • Degree
      B.A., English, Philosophy, University of Connecticut

    Dr. Chelsea Hammond is an assistant clinical professor of marketing and program director of the online marketing analytics certificate. Prior to joining the Penn State 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
    • Degree
      Ph.D., Industrial and Systems Engineering, Auburn University
    • Degree
      M.E., Industrial and Systems Engineering, Auburn University
    • Degree
      B.S., Industrial and Systems Engineering, University of Tehran

    Dr. Ashkan Negahban is an associate 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
    • Degree
      Ph.D., Software and Systems Engineering, University of Wales Swansea
    • Degree
      M.Sc., Communications Systems, University of Wales Swansea
    • Degree
      B.Eng., Electrical Engineering, University of Wales Swansea

    Dr. Colin Neill is a 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.

  • J. Andrew Petersen
    • Degree
      Ph.D., Business Administration (Marketing), University of Connecticut
    • Degree
      B.A., Economics, University of North Carolina at Chapel Hill

    Dr. J. Andrew Petersen is an associate professor of marketing in the Smeal College of Business and program director of the online marketing analytics and insights master’s degree. 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 MarketingJournal of Marketing ResearchHarvard Business ReviewMIT Sloan Management Review, and The Wall Street Journal.

  • Robin G. Qiu
    • Degree
      Ph.D., Industrial Engineering, Penn State
    • Degree
      Ph.D., (Minor), Computer Science, Penn State
    • Degree
      M.S., Numerical Control, Beijing Institute of Technology, China
    • Degree
      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.

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

    Dr. Raghvinder S. Sangwan is a 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.

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

    Dr. Satish Srinivasan is an associate 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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