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Dr. Shimei Pan

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Short Bio:

Dr. Shimei Pan received a Ph.D. in Computer Science from Columbia University. Before joining UMBC, Dr. Pan was a research scientist at IBM Watson Research Center in New York. Her primary research interests are Large-Scale Social Media Analytics, Text Mining and their application in Human Behavior Modeling. She is also interested in human-centered text mining and intelligent interactive systems. Dr. Pan has authored more than 70 peer-reviewed papers in major international conferences and journals. She has also served on various technical program committees for major international conferences (e.g.,  she was the program co-chair of 2015 ACM International Conference on Intelligent User Interfaces). Currently, she is an associate editor of ACM Transactions on Interactive Intelligent Systems (TIIS).


  • Our paper on “Analyzing and Preventing Bias in Text-based Personal Trait Prediction Algorithms” won the IEEE ICTAI 2016 C.V. Ramamoorthy Best Paper Award (Nov. 2016).
  • Gave a talk at National Institute on Drug Abuse (NIDA) on “Social Media-based User Behavior and Trait Analysis for Drug Abuse Research” (September. 2016)
  • Our paper on “Personalized Emphasis Framing for Persuasive Message Generation” was accepted by EMNLP 2016 (August, 2016)
  • Gave a talk at Bloomberg LP Data Science Seminar (July 2016)
  • Gave a talk at the CS department of Columbia University (July 2016)
  • My former student Yi Yang presented our paper at the IJCAI Sister Conference Best Paper Track (July 2016)
  • Presented an invited paper at AAAI 2016 on “What’s Hot in Intelligent User Interfaces” (Feb 2016).
  • Our paper on “Using Personal Traits for Brand Preference Prediction” was accepted by EMNLP 2015 (August 2015)
  • Our paper on “An Uncertainty-Aware Approach for Exploratory Microblog Retrieval” was accepted by IEEE VAST 2015 (TVCG track) (July 2015)
  • Our paper on “Expertise Signals for Public and Enterprise Social Q&A” was accepted by ICWSM 2015 (March 2015)
  • Our paper on “User-Directed Non-Disruptive Topic Model Update for Effective Exploration of Dynamic Content” won “best paper honorable mention” at IUI 2015! (March 2015)
  • Gave a keynote at the 4th Interactive Visual Text Analytics workshop in Atlanta (March 2015).
  • Our paper “User-Directed Non-Disruptive Topic Model Update for Effective Exploration of Dynamic Content” was accepted by IUI’2015.
  • Phd student Tao Ding received UMBC GSA student research grant. Congratulations! (Nov. 2014)
  • Gave a keynote speech at the ACM CIKM’14 workshop on Interactive Mining of Big Data. (Nov. 2014)