Contact
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Email
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Primary Office
- S224 Pappajohn Business Building (PBB)
- (319) 335-3831
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Department
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Fax
Websites
Positions
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Associate Professor of Business Analytics
Tippie College of Business
Education
- PhD in Information Sciences and Technology, The Pennsylvania State University, 2012
- MS in Computer Science, Eastern Michigan University, 2006
- BE in Electrical and Information Engineering, Beijing Institute of Technology, 2003
Areas of Interest
- Data mining for social networks and social media, Data Science, Business Analytics, Supply-chain networks, Agent-based models.
Selected Awards & Honors
- Best Paper Award, INFORMS Data Science Workshop, 2017
- Early Career Research Award, Tippie College of Business, 2016
- R.W. Graham Endowed Graduate Fellowship, Penn State University, 2007
- Outstanding College Graduate, Beijing Municipal Commission of Education, 2003
Selected Publications
- , , & (2020). Predicting User Posting Activities in Online Health Communities with Deep Learning. ACM Transactions on Management Information Systems 11 (3) Article 12. DOI: 10.1145/3383780.
- , & (2019). Keeping It 100: Social Media and Self-presentation in College Football Recruiting. Big Data 7 (1) 3-20. DOI: https://doi.org/10.1089/big.2018.0094.
- , , , , , , & (2019). Mining User-Generated Content in an Online Smoking Cessation Community to Identify Smoking Status: A Machine Learning Approach. Decision Support Systems 116 26-34. DOI: https://doi.org/10.1016/j.dss.2018.10.005.
- , & (2019). Modeling Supply Chain Adaptation for Supply Chain Disruptions: An Empirically Grounded Complex Adaptive Systems Approach. Journal of Operations Management 65 (2) 190-212. DOI: https://doi.org/10.1002/joom.1009.
- , , , & (2019). Multi-Relational Link Prediction for an Online Health Community
. Seattle, WA: INFORMS Workshop on Data Science. - , & (2019). The Turf is Always Greener: Predicting Decommitments in College Football Recruiting Using Twitter Data. Decision Support Systems 116 1-12. DOI: https://doi.org/10.1016/j.dss.2018.10.003.
- & (2019). Understanding and Predicting Future Research Impact-A Social Capital Perspective. Seattle, WA: INFORMS Workshop on Data Science.
- , & (2018). Predicting Stock Price Movements via Multi-relational Inter-firm Networks. Phoenix, AZ: INFORMS Data Science Workshop.
- & (2018). The More Multidisciplinary the Better?--The Prevalence and Interdisciplinarity of Research Collaborations in Multidisciplinary Institutions. Journal of Informetrics 12 (3) 736-756. DOI: 10.1016/j.joi.2018.06.006.
- , & (2017). Analyzing and predicting user participations in online health communities—A social support perspective. Journal of Medical Internet Research 19 (4) e130. DOI: 10.2196/jmir.6834.
Selected Presentations
- & (2018, December) Social Dynamics of Substance Use in Online Social Networks for Smoking Cessation. Seminar Washington, District of Columbia.
- (2018, January) Online and Off the Web--Analyzing User Behaviors and Health Outcome in Online Health Communities. Conference Presentation presented at The 6th International Conference on Smart Health (ICSH'18), Wuhan, China.
- (2016, March) Concurrent Diffusions of Information and Behaviors in Online Social Networks. Oral presented at 2016 Winter Conference on Business Intelligence, Utah.
- & (2015, March) Predicting User Engagement in Online Health Communities Based on Social Support Analysis. Oral presented at 2015 Winter Conference on Business Intelligence, Utah.
- & (2015, January) Social Dynamics of Substance Use in Online Social Networks for Smoking Cessation. Lecture presented at VA Innovations in Healthcare Informatics Cyberseminar.
- , & (2014, August) Users' roles and involvement in online health communities--a social support perspective. presented at 16th International Conference on Electronic Commerce (ICEC 2014), Philadelphia, Pennsylvania.
- & (2014, June) Users’ Roles and Involvement in Online Health Communities —a Social Support Perspective. Oral presented at The 8th China Summer Workshop on Information Management (CSWIM 2014), Chengdu, China.
- & (2014, March) Understanding Social Support and User Behaviors in Online Health Communities. Oral presented at Winter Conference on Business Intelligence, Snowbird, Utah.
- (2013, July) Sentiment influence and influential users in online health communities. Oral presented at 3M Computaonal Intelligence colloquium, St Paul, Minnesota.
- (2013, May) Role Identification - Influential users and community leadership. Oral presented at International Conference on Social Intelligence and Technology, University Park, Pennsylvania.
Selected Grants & Contracts
- Zhao, Kang (Co-Principal), Graham, Amanda L (Co-Principal) Social Dynamics of Substance Use in Online Social Networks for Smoking Cessation. Sponsored by National Cancer Institute, NIH. Funded. September 1, 2014 - August 1, 2017.
- Zhao, Kang (Principal Investigator) Old Gold Summer Fellowship. Sponsored by The University of Iowa. January 1, 2012.
- Zhao, Kang (Principal Investigator) Network Science Exploration Research Grant. Sponsored by Penn State University. Funded. January 1, 2010 - January 1, 2011.
Professional Service
- INFORMS Data Science Workshop, Co-Chair, January 2020.
- INFORMS Data Science Workshop, Program Committee, Program Co-chair, January 2019.
- INFORMS College on Artificial Intelligence, Chair, November 2016 - October 2016.
- IEEE International Conference on Healthcare Informatics 2016, Chair of the Doctoral Consortium, January 2016.
- INFORMS College on Artificial Intelligence, Cluster Chair, January 2013.
Editorial & Review Activities
- ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Referee.
- Decision Support Systems, Referee.
- Electronic Commerce Research and Applications, Associate Editor.
- Information and Management, Referee.
- Information Systems Research, Referee.
- INFORMS Journal on Computing, Referee.
- Journal of Management Information Systems, Referee.
- Journal of Operations Management, Referee.
- Journal of the American Medical Informatics Association, Referee.
- Journal of the Association for Information Science and Technology, Editor.