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Saeed Piri

Assistant Professor of Operations and Business Analytics

Affiliations: Operations and Business Analytics, Undergraduate Programs
spiri@uoregon.edu
Phone: 541-346-7314
Office: Lillis 434
Research Website
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About

Biography:

Saeed Piri is an assistant professor in the Department of Operations and Business Analytics at the Lundquist College of Business. His expertise includes data and business analytics, healthcare analytics, and operations analytics.

Piri's research contributes to both data mining methodologies, such as imbalanced data learning, ensemble modeling, and association analysis and also data analytics applications, such as developing clinical decision support systems and personalized medicine. In addition, he has been studying value-based payment systems in healthcare, online retail platforms, and electronic medical records systems. In Piri's work, he employs advanced machine learning techniques and also classical empirical methods.

Piri received his PhD in industrial engineering and management from Oklahoma State University and MS and BS in industrial engineering from Sharif University and Amirkabir University.

Degree History:
  • PhD, Industrial Engineering and Management, Oklahoma State University, 2017
  • MS, Industrial Engineering, Sharif University of Technology, Iran, 2011
  • BS, Industrial and systems Engineering, Amirkabir University of Technology (Tehran Polytechnic), Iran, 2008
Previous Positions:
  • Visiting Assistant Professor, Spears School of Business, Oklahoma State University, 2017–2018

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Areas of Expertise

  • Business and data analytics
  • Machine learning
  • Healthcare analytics
  • Operations analytics
  • Decision support systems

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Publications

Journal Articles:

Piri, Saeed. "Missing Care: A Framework to Address the Issue of Frequent Missing Values; The Case of a Clinical Decision Support System for Parkinson's Disease." Decision Support Systems 136: 113339. https://doi.org/10.1016/j.dss.2020.113339.

September 2020

Piri, Saeed, Dusun Delen, and Tieming Liu. "A Synthetic Informative Minority Over-Sampling (SIMO) Algorithm Embedded into Support Vector Machine to Learn from Imbalanced Datasets." Decision Support Systems 106: 15-29. https://doi.org/10.1016/j.dss.2017.11.006.

February 2018

Piri, Saeed, Dursun Delen, Tieming Liu, and Hamed M. Zolbanin. "A Data Analytics Approach to Building a Clinical Decision Support System for Diabetic Retinopathy: Developing and Deploying a Model Ensemble." Decision Support Systems 101: 12-27. https://doi.org/10.1016/j.dss.2017.05.012.

September 2017

Piri, Saeed, Dursun Delen, Tieming Liu, and William Paiva. "Development of a New Metric to Identify Rare Patterns in Association Analysis: The Case of Analyzing Diabetes Complications." Expert Systems with Applications 94: 112-125. https://doi.org/10.1016/j.eswa.2017.09.061.

March 2018

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In the News

Welcome New Faculty and Staff
The Lundquist College of Business is happy to welcome the new faculty and staff members joining us this fall term.

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