Hossein Amini

Hossein Amini is a Lecturer in Data Analytics at Olin Business School, Washington University in St. Louis. He holds a Ph.D. in Data Science from Kansas State University (2019), an MS (2015), and a BS in Computer Engineering from Khaje Nasir Toosi University of Technology (2007). His research focuses on applying machine learning to healthcare and manufacturing, including predictive analytics for diseases like breast cancer and adverse drug reactions, as well as process monitoring in additive and semiconductor manufacturing.

Education:

• Ph.D. in Data Science, Kansas State University, 2019
• MS in Data Science, Kansas State University, 2015
• BS in Computer Engineering, Khaje Nasir Toosi University of Technology, 2007

Research Interests: Hossein’s work spans machine learning applications in multistage industrial processes (e.g., 3D metal printing), medical decision support systems, and predictive modeling for healthcare and manufacturing. He emphasizes data-driven solutions for resource optimization, sustainability, and crisis management.

Teaching: He instructs graduate courses in SQL (DAT560G) and Big Data Analytics (DAT560M) at Olin Business School.

Publications Trends: His publications address emergency response systems, sustainable architecture design, industrial process monitoring frameworks (e.g., MLCPM), medical decision-making under uncertainty, and knowledge management failure analysis using fuzzy logic. Recent work emphasizes real-world applications of machine learning in critical sectors.

Professional Activities: No grants or awards explicitly listed. He actively reviews electronic gadgets and engages in academic reviewing.