Jie WangJie Wang

Ph.D.(Computer Science) M.S.(Electrical Engineering)
Associate Professor in Computer Information Systems

Department of Computer Information Systems


Teaching interests:

Artificial Intelligence, Machine learning, Data engineering, Programming, Databases, Data Science, Data Mining, Linear algebra

Courses Taught since 2009:

CSCI-A590, CSCI-B565, CSCI-B551, INFO-I421, CSCI-C442, INFO-I400, CSCI-C430, CSCI-C330, CSCI-A340, CSCI-A348, CSCI-A285, CSCI-A106, INFO-I300

Research interests:

Google Scholar Citations】data and computational issues arising from information systems including information management, data mining and data science, data privacy, social media analysis and applied mathematics.

Recent work


Recent publications

The immediate impact of the 2019 novel coronavirus (COVID-19) outbreak on subjective sleep status (Sleep Medicine)
Learning subconcepts in user-generated text from social media sites: a case of exploring food concept (ICBDA2018)
Constrained matrix factorization in financial data analysis (IDA)
Confluent supersymmetric partners of quantum systems emerging from the spheroidal equation (Symmetry)
A study of reliability patterns by simultaneous clustering: a matrix factorization approach (ACM SE'14)
Bound state solutions of the Klein-Gordon equation for the Mathews-Lakshmanan oscillator (Springer)
Discovering the rating pattern of online reviewers through data coclustering (IEEE ISI2013)
Mining online book reviews for sentimental clustering (IEEE AINA2013)
Stock trend extraction via matrix factorization (Springer)
A hierarchical model of e-Government service capability:an empirical analysis (Elsevier)
Customizing privacy protection in data publishing (IEEE Xplore)


  • (Faculty mentor) The Best Award in the Engineering and Applied Technology Division, the virtual poster competition of the IN LSAMP Annual Research Conference. October 2020
  • Indiana University Trustees' Teaching Award. 2020
  • Indiana University Northwest Faculty Grant-in-Aid for Research. 2019
  • Excellent oral presentation at the IEEE 3rd Conference on Big Data Analysis (ICDBA2018). 2018
  • Indiana University Trustees' Teaching Award. 2017
  • Indiana University Trustees' Teaching Award. 2014
  • Indiana University Northwest Research Support Grant. $7,000. 2014-2015
  • Indiana University Northwest Faculty Grant-in-Aid for Research, $1,700. 2014
  • Research seed support from the NVIDIA Corporation as an unrestricted gift (approx. $3500). 2013
  • Indiana University Northwest Faculty Grant-in-Aid for Research, $800. 2013
  • Indiana University Northwest Regional Research Grant-Project Initiation Grant $4,000. 2012-2013
  • Indiana University Summer Faculty Fellowship for Research. $11,000. 2012 and 2013.
  • Richard E. Rosenthal Young Researcher, Institute for Operations Research and the Management Sciences. 2011
  • Online Course Development Grant $4,000. CISTL, Indiana University Northwest. 2011
  • Indiana University Northwest Faculty Grant-in-Aid for Research. $1,500. 2011 and 2012
  • Indiana University Summer Faculty Fellowship for Research. $10,000. 2010 and 2011
  • Finalist of the competitive postdoctoral position for Computation & Informatics in Biology and Medicine at the University of Wisconsin-Madison, with support from the Morgridge Institute for Research. 2009
  • Full travel support from 3nd International Summer School on Logic Programming and Computational Logic in Las Cruces, New Mexico. 2008
  • Thaddeus B. Curtz Memorial Scholarship Award (the best graduate student of the year). College of Engineering, University of Kentucky. 2008
  • Kentucky Opportunity Fellowship, 2007-2008
  • Full travel support from Lawrence Berkeley National Laboratory for the 8th DOE Advanced Computational Software (ACTS) Collection Workshop: Gearing up Scientific Applications for the Petascale Computing Era. Berkeley, CA. 2007.
  • Student travel support from Graduate School Fellowship of University of Kentucky. 2005, 2006 and 2007.
  • University of Kentucky Commonwealth Research Award. 2007


  1. Professional service:
    • Volunteered to serve as a judge for the IU 2021 Women's Research Poster Competition
    • Reviewer: The 26th International Conference on Database Systems for Advanced Applications. 2020
    • Committee: The 6th International Conference on big data analytics. 2020-2021
    • Committee: The 4th IEEE Conference on Big Data Analysis (ICDBA). 2019
  2. Student Advising:


MATLAB, R, Python, SQL, Java, C++
Weka, RapidMiner, Oracle, MySQL
LaTex, R Markdown
HTML, CSS, JavaScript, PHP
Hugo, Jekyll
Windows, Linux, MacOS
Adobe Photoshop, Adobe Premiere Pro
Artisan-bread baking