Hosseininasab, Amin
Bio
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.
Education All years
- PhD - Operations Research, Carnegie Mellon University, 2020
- MSc - Management Sciences, University of Waterloo, 2015
- BSc - Industrial Engineering, Amirkabir University of Technology, 2012
Courses Taught Last 3 years
- Machine Learning in Business (MAR6930)
- Marketing Analytics 1 (MAR6668)
Phd Students Advised Last 3 years
- Vincent Zhao — 2022 — Current
- Weiran Lin — 2024 — Current
- Zhiyu Zhang — 2023 — Current
- Xiang Wan — 2021 — 2022
Journal Article Publications Last 5 years
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Exact Multiple Sequence Alignment by Synchronized Decision Diagrams
Status: PublishedJournal: INFORMS Journal on ComputingAccepted Year: 2021Authors: Amin Hosseininasab, Willem-Jan van Hoeve
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Seq2Pat: Sequence-to-Pattern Generation for Constraint-based Sequential Pattern Mining
Status: PublishedJournal: Proceedings of the AAAI Conference on Artificial IntelligencePublished Year: 2021Authors: Xin Wang, Amin Hosseininasab, Pablo Colunga, Serdar Kadioglu, Willem-Jan van Hoeve
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Effects of feasibility cuts in Lagrangian relaxation for a two-stage stochastic facility location and network flow problem
Status: PublishedJournal: Optimization LettersPublished Year: 2020Authors: Amin Hosseininasab, Fatma Gzara
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Constraint-Based Sequential Pattern Mining with Decision Diagrams
Status: PublishedJournal: Proceedings of the AAAI Conference on Artificial IntelligencePublished Year: 2019Authors: Amin Hosseininasab, Andre Cire, Willem-Jan van Hoeve
Contact And Other Resources
University of Florida
Warrington College of Business
Marketing Department
Stuzin Hall 256
(352) 273-3288