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Faculty Profiles

Babak Zafari

  • Assistant Professor
Academic Division: Math & Science

Bio

Dr. Zafari is an Assistant Professor of Statistics and Analytics in the Math & Science Division. His area of interests are Healthcare Fraud Analytics, Bayesian Modeling, Statistical Models for Natural Language Processing, Predictive Modeling and Machine Learning Methods for Business Applications, and Online Auctions. Prior to joining Babson College, he was a Visiting Assistant Professor at The George Washington University School of Business teaching courses in Data Analysis and Decisions, Business Analytics and Data Mining. He was also a senior statistician consultant at Integrity Management Services where he was responsible for developing statistical models for fraud and abuse detection in Medicare and Medicaid programs. He received his B.S. in Applied Mathematics from Sharif University of Technology, M.S. in Operations Research/Computer Science from Bowling Green State University and Ph.D. in Decision Sciences from The George Washington University School of Business.

Academic Degrees

  • Ph D, The George Washington University
  • MS, Bowling Green State University
  • BS, Sharif University of Technology

Academic Interest / Expertise

Healthcare Fraud Analytics, Bayesian Modeling, Statistical Models for Natural Language Processing, Predictive Modeling and Machine Learning Methods for Business Applications, Online Auctions

Courses

  • Degree Courses 2020

    • QTM 7800 BUSINESS ANALYTICS
    • QTM 2000 CASE STUDIES IN BUSINESS ANALYTICS
  • Degree Courses 2019

    • QTM 7800 BOS BUSINESS ANALYTICS
    • QTM 7800 BUSINESS ANALYTICS
    • QTM 2000 CASE STUDIES IN BUSINESS ANALYTICS
    • QTM 3620 OPERATIONS RESEARCH

Publications

Journal Articles

  • Zafari, B., Soyer, R. (2020). Assessment of Uncertainty in Bid Arrival Times: A Bayesian Mixture Model. Journal of the Operational Research Society. link
  • Zafari, B., Soyer, R. (2019). Modeling First Bid in Retail Secondary Market Online Auctions: A Bayesian Approach. Applied Stochastic Models in Business and Industry. link
  • Zafari, B., Ekin, T. (2019). Topic Modelling for Medical Prescription Fraud and Abuse Detection. Journal of the Royal Statistical Society (Series C: Applied Statistics). link
  • Carey, J.C., Kroeger, K., Zafari, B., Tang, J.J. (2018). Passive experimental warming decouples air and sediment temperatures in a salt marsh. . Limnology and Oceanography Methods. link

Book Chapters

  • Zafari, B., Kettunen, J. (2017). Bayesian Methods in Project Management. Wiley StatsRef: Statistics Reference Online. link

Conference Proceedings

  • Macedo, P., Zafari, B., Araia, S. (2016). Medicare Fraud Analytics using Cluster Analysis. SAS Global Forum. link

Presentations

  • Natural Language Processing Models for Anomaly Detection – A Case of Medical Data Zafari, B. INFORMS Annual Meeting, Seattle, Washington (2019)
  • Using Natural Language Processing Models for Analyzing Healthcare Data Zafari, B. Annual Conference of European Network for Business and Industrial Statistics (ENBIS) , Budapest, Hungary (2019)
  • Using Natural Language Processing Models for Analyzing Healthcare Data Zafari, B. The sixth symposium on Games and Decisions in Reliability and Risk (GDRR), Washington, DC (2019)
  • Topic Modeling for Medical Prescription Fraud and Abuse Detection Zafari, B. Babson Research Day, Babson College (2019)
  • Topic Modelling for Prescription Fraud and Abuse Detection Zafari, B. , . 13th INFORMS Data Mining and Decision Analytics Workshop, Phoenix, AZ (2018)
  • A Bayesian Forecasting Model of Electric Outages - Zafari, B. Novoa, L. Vojvodic, G. Soyer, R. INFORMS Annual Meeting, Phoenix, AZ (2018)
  • Topic Modelling for Prescription Fraud and Abuse Detection - Zafari, B. Ekin, T. University of New Hampshire Paul College of Business and Economics - Bayesian Data Science Seminar Series, Durham, NH (2018)
  • The Accidental Chill: A ‘warming’ experiment that cooled a salt marsh. Carey, J. Kroeger, K. Zafari, B. Tang, J. Babson Research Day, Babson College (2018)
  • Structural Topic Model for Prescription Fraud and Abuse Detection - Zafari, B. Ekin, T. INFORMS Annual Meeting 2017, Houston, TX (2017)
  • Modeling First Bid in Retail Secondary Market Online Auctions - Zafari, B. Soyer, R. The 34th Quality and Productivity Research Conference, Storrs, CT (2017)
  • Medicare Fraud Analytics using Cluster Analysis - Zafari, B. Macedo, P. Araia, S. SAS Global Forum, Las Vegas, NV (2016)
  • Time of the First Bid: A Bayesian Mixture Modeling Approach - Zafari, B. 4th Symposium on Games and Decisions in Reliability and Risk, Istanbul, Turkey (2015)
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