Lab Director: Jianwu Wang

Associate Professor of Data Science
Department of Information Systems
University of Maryland, Baltimore County
Baltimore, MD, U.S.A.
Email: jianwu _at_
Phone: 410-455-3883
Office: ITE 423
Twitter: @JianwuWang
Curriculum Vitae (CV)
See me at: Google Scholar, ORCID, DBLP, LinkedIn, ScholarWorks

Short Biography

Dr. Jianwu Wang (王建武 in Chinese) is an Associate Professor at the Department of Information Systems, University of Maryland, Baltimore County (UMBC). He leads the Big Data Analytics Lab (BDAL) at UMBC and co-leads the NSF HDR Institute for Harnessing Data and Model Revolution in the Polar Regions (iHARP). He is also an affiliate faculty at the Department of Computer Science and Electrical Engineering and the Joint Center for Earth Systems Technology (JCET), UMBC. He received his Ph.D. degree in Computer Science from Institute of Computing Technology, Chinese Academy of Sciences in 2007. His research interests include Big Data Analytics, Causal AI, Earth Informatics and Distributed Computing. He has published 130+ papers with more than 3000 citations (h-index: 27). He is/was associate editor or editorial board member of four international journals, conference organization committee member of eight conferences and co-chair of eight related workshops. He is also program committee member for over 40 conferences/workshops, and reviewer of over 15 journals or books. Since joining UMBC in 2015, he has received multiple external grants as PI (over $3.7M in total), Co-PI (over $13.7M in total) or Senior Personnel (over $20.3M in total) funded by ARL, NSF, NASA, DOE, State of Maryland, and Industry. He received Early-Career Faculty Excellence award from UMBC in 2019 and NSF CAREER award in 2020. His current research interests include Big Data Analytics, Distributed Computing and Scientific Workflow with application focuses on climate and manufacturing.

Research Topics

  • Big Data Analytics
  • Earth and Climate Informatics
  • Causal Artificial Intelligence
  • Smart Manufacturing
  • Scientific Workflow
  • Distributed Computing (Cluster, Grid, Cloud, IoT)
  • Service-Oriented Computing

    For Prospective Students

    I’m looking for undergraduate, master, Ph.D. students to work on Big Data, workflow and distributed computing related projects through volunteering, independent study, hourly paid position and Research Assistant. I’m also looking for visiting scholars and Ph.D. students. More information is at Resources -> Phd Student Positions tab. Please contact me if you are interested.



  • Awards

    • CAREER Award, National Science Foundation (NSF), 2020.
    • Early-Career Faculty Excellence Award, UMBC, 2019.






    Professional Services