Dr. Osama Aljarrah

Assistant Professor
Dr. Osama Aljarrah - profile photo

Dr. Osama Aljarrah

Assistant Professor

Rayen School of Engineering

Moser Hall 2446

phone: (330) 941-1736



LinkedIn  google scholar icon

Dr. Osama (Sam) Aljarrah is an assistant professor of industrial and systems engineering at Youngstown State University in Youngstown, Ohio, USA. He obtained his undergraduate degree in industrial engineering/manufacturing engineering (2006) from Jordan University of science and technology and his master's degree in business administration (2013) from Yarmouk University. Aljarrah earned his doctoral degree in engineering and applied science and industrial and systems engineering from the University of Massachusetts at Dartmouth in May 2021. After a brief time serving in different industries, Aljarrah was appointed as an assistant professor at Rayen school of engineering. Current research emphasizes the use of surrogate modeling, evolutionary computation, simulation, and informed physics machine learning techniques to: Determine the effect of process parameters variability on the additively manufactured part mechanical properties. Assess the impact of selecting different input arguments on the felid of output instead of a single of multiple-outputs using machine and deep learning techniques. Evaluate the degree to which compensation strategy efforts successfully improve the quality of additively manufactured parts using surrogate modeling. He served as a guest editor for the journal computer and industrial engineering. He published many high-impact factor journals.

  • Research Focus

    My primary research interest is in the area of manufacturing strategy, additive manufacturing, and financial engineering. My research areas are focused on utilizing the following techniques: mathematical modeling, optimization, and machine learning. My recent research focuses on building efficient and effective data-driven surrogate modeling techniques for the prediction, optimization, and simulation of additively manufactured parts.

  • Expertise

    Machine learning, deep learning, finite element simulation, evolutionary computation, discrete event simulation, non-linear optimization, surrogate modeling.

  • List of courses
    • Manufacturing processes
    • Manufacturing processes lab
    • Automation
    • Methods engineering
    • Method engineering lab
    • Advanced statistical engineering