Kunpeng Zhang Directory Page

Kunpeng Zhang

Kunpeng Zhang

Assistant Professor

Ph.D., Northwestern University

  • Decision, Operations and Information Technologies
  • Contact

    4316 Van Munching Hall

    Professor Zhang received his Ph.D. in Computer Science from the McCormick School of Engineering at Northwestern University in 2013.

    Dr. Zhang worked as an assistant professor of information and decision science at University of Illinois, Chicago from 2013 to 2015, prior to moving to the Smith School. His research focuses on applying scalable machine learning, natural language processing, and social network analysis techniques on big data problems in business and healthcare. His work has been published in the business journals and computer science conferences. He has presented papers at the INFORMS conference, ICIS conference, and other CS conferences. He teaches Python program in the undergraduate program and big data analytics in the graduate program.

    News

    Maryland Smith Launches Data Science and Business Analytics Certificate Program
    The University of Maryland’s Robert H. Smith School of Business is launching a nine-month, fully online certificate program designed for…
    Read News Story : Maryland Smith Launches Data Science and Business Analytics Certificate Program
    Deloitte Welcomes Smith Analytics Faculty to Greenhouse

    Deloitte hosted seven faculty affiliates of the Smith Analytics Consortium for a meeting of the minds on Jan. 31, 2019, at the company’s…

    Read News Story : Deloitte Welcomes Smith Analytics Faculty to Greenhouse
    How to Detect Fake Facebook Friends

    SMITH BRAIN TRUST — Company pages on social media sites like Facebook contain real-time information for brand managers hoping to gauge…

    Read News Story : How to Detect Fake Facebook Friends

    Research

    A New Way to Read Between the Lines of Investing

    Read the article : A New Way to Read Between the Lines of Investing
    What Can Firms Learn From Online Consumer Engagement?

    Read the article : What Can Firms Learn From Online Consumer Engagement?
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