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Amin Hosseininasab

Assistant Professor

(352) 273-3288



Professor Hosseininasab’s primary research focuses on the design and analysis of machine learning algorithms and optimization models under a marketing and management science lens. In particular, he is interested in developing interpretable learning algorithms and decision support systems for applications in E-commerce, healthcare markets, financial markets, and operations.


  • PhD - Operations Research, Carnegie Mellon University, 2020
  • MSc - Management Sciences, University of Waterloo, 2015
  • BSc - Industrial Engineering, Amirkabir University of Technology, 2012

Research Interests

  • Interpretable Machine Learning
  • Data-Driven Decision Making
  • Scalable Algorithms
  • Mathematical Programming
  • E-Commerce
  • Healthcare Markets
  • Financial Markets
Last 3 years

Courses Taught

  • Machine Learning for Bus App (MAR6930)
  • Machine Learning in Business (MAR6930)
  • Marketing Analytics (MAR6930)
  • Marketing Analytics 1 (MAR6668)
Last 3 years

Phd Students Advised

  • Xiang Wan — 2022
Last 5 years

Conference Proceeding Publications

  • Seq2Pat: Sequence-to-Pattern Generation for Constraint-based Sequential Pattern Mining
    Status: Published
    Accepted Year: 2021
    Authors: Xin Wang, Amin Hosseininasab, Pablo Colunga, Serdar Kadioglu, Willem-Jan van Hoeve
  • Constraint-Based Sequential Pattern Mining with Decision Diagrams
    Status: Published
    Accepted Year: 2019
    Authors: Amin Hosseininasab, Andre Cire, Willem-Jan van Hoeve
Last 5 years

Journal Article Publications

Contact Details

University of Florida
Warrington College of Business
Marketing Department
Stuzin Hall 256

(352) 273-3288


Other Resources