Amin Hosseininasab

Amin Hosseininasab

  • Assistant Professor

Location

  • Warrington College of Business
  • Marketing Department
  • Master of Science – Business Analytics
  • Stuzin Hall 256

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.

Expertise and interest areas

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

News

Courses taught

  • Marketing Analytics 1 (MAR6668)
  • Special Topics in Marketing (MAR6930)

Education

    • Ph.D, Operations Research., Carnegie Mellon, 2020
    • MS, Operations Research., Carnegie Mellon, 2017

Conference proceeding publications

  • Seq2Pat: Sequence-To-Pattern Generation For Constraint-Based Sequential Pattern Mining
    • Journal:
    • Status: Published
    • Date: 2022
    • Authors: Xin Wang, Pablo Colunga, Amin Hosseininasab, Willem-Jan Van Hoeve, Serdar Kadioglu

Journal article publications

  • Learning Product Improvement From Consumer Evaluations
    • Journal: Management Science
    • Status: Published
    • Date: 2026
    • Authors: Amin Hosseininasab
  • Learning Product Improvement From Consumer Evaluations
    • Journal: Management Science
    • Status: Accepted/In Press
    • Date: 2026
    • Authors:
  • Memory Efficient Sequential Pattern Mining With Hybrid Tries
    • Journal: Journal of Machine Learning Research
    • Status: Published
    • Date: 2024
    • Authors: Willem-Jan Van Hoeve, Andre Cire, Amin Hosseininasab
  • Seq2Pat: Sequence‐To‐Pattern Generation To Bridge Pattern Mining With Machine Learning
    • Journal: AI Magazine
    • Status: Published
    • Date: 2023
    • Authors: Serdar Kadıoğlu, Xin Wang, Amin Hosseininasab, Willem-Jan Van Hoeve
  • Seq2Pat: Sequence-To-Pattern Generation For Constraint-Based Sequential Pattern Mining
    • Journal: Proceedings of the AAAI Conference on Artificial Intelligence
    • Status: Published
    • Date: 2022
    • Authors: Xin Wang, Amin Hosseininasab, Pablo Colunga, Serdar Kadıoğlu, Willem-Jan Van Hoeve