Farid Hashemian

Farid Hashemian Photo

Areas of Expertise:

  • Machine Learning and Data Analytics
  • Statistical Inference
  • Data-Driven Modeling
  • Optimization

Email:  sfhashem@uark.edu 

Curriculum Vitae

Research Interests:

  • Machine Learning and Data Analytics
  • Artificial Neural Networks
  • Deep Reinforcement Learning
  • Statistical Inference
  • Data-Driven Modeling
  • Optimization

Journal Articles and Publications:

Azucena, José & Hashemian, Farid & Liao, Haitao & Pohl, Edward. (2022). Applying Machine Learning Methods to Improve All-Terminal Network Reliability. The 69th Annual Reliability & Maintainability Symposium (RAMS® 2023). Revised.

Hashemian, Seyed Farid & Maleki, Negar & Zeinali, Yasser. (2022). The Effect of Customer’s Behavior on the Subscription Sales: An Insight into an Online eBook Platform. Manufacturing & Service Operations Management. Submitted.

Honors and Awards:

  • Industrial Engineering Department Scholarship, University of Arkansas, 2023
  • Margaret Gerig Martin Graduate Fellowship, University of Arkansas, 2022
  • Industrial Engineering Department Scholarship, University of Arkansas, 2022