Amin Abbasi-Pooya

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Assistant Professor of Information Systems and Business Analytics

Arkansas State University

Also affiliated: University of Kansas (2024); Tarbiat Modares University (2016–2021)

4 h-index 8 pubs 64 cited

Research Areas

Links

ORCID

OverviewAI-generated summary

Amin Abbasi-Pooya's research focuses on developing and applying mathematical models and algorithms to solve complex optimization and scheduling problems. His work addresses areas such as helicopter routing and crew management, parallel machine scheduling, and freight management within third-party logistics. He has investigated deep reinforcement learning approaches for freight management and formulated rig-based models for offshore transportation logistics.

His research also extends to financial optimization, including stochastic multi-period portfolio optimization. Furthermore, Abbasi-Pooya has explored the development of multi-objective-multicriteria models for physical asset management, considering factors like maintenance and procurement. He has also examined industry expectations for entry-level artificial intelligence skills and their implications for business curriculum design.

Metrics

h-index: 4
Publications: 8
Citations: 64

Positions

Assistant Professor of Information Systems and Business Analytics 2024–present

Arkansas State University Neil Griffin College of Business ORCID
PhD of Analytics, Information, and Operations Management 2019–2024

University of Kansas School of Business ORCID
Logistics Expert 2017–2019

Sazeh Gostar Saipa (SGS Co.) Transportation ORCID
Software Developer and Data Analyzer 2016–2017

Institue of Reliability and Asset Management (i-REAM) ORCID