Lecturer in Data Analytics
Application of machine learning in process monitoring of multistage processes (Additive Manufacturing & Semiconductor Manufacturing Industries). Predictive analysis in diseases such as breast cancer and developing drug recommender systems. Predictive analysis in adverse drug reaction models using machine learning methods.
- "Selecting Building Designs with Consideration of Sustainability and Resiliency", Journal of Architectural Engineering, Issue 1, with B. Zhang, S. Chang, 2018
- "MLCPM: A Process Monitoring Framework for 3D Metal Printing in Industrial Scale", Journal of Computers & Industrial Engineering, 322-330, with S. Chang, 2018
- "A Medical Decision Support System for Disease Diagnosis under Uncertainty", Fuzzy Expert Systems with Application, Issue 1, 95-108, with B. Malmir, S. Chang, 2017
- "A Fuzzy Consensus Oriented Average (COA) Operator Based Approach for Knowledge Management Failure Analysis", International Journal of Research and Reviews in Information Sciences, Issue 4, with M. Haghighi, M. Zowghi, 2011
Ping-Pong, Badminton, Adventure, Traveling, Reviewing electronic gadgets, reading novel and history books
Mohammadhossein (Hossein) Amini is a data scientist and data analyst with extensive experience in Data Science, Machine learning, Big Data Analytics, Natural Language Processing, and Data Visualization. Hossein is a graduate researcher with a Doctor of Philosophy (Ph.D.) from Kansas State University working on the application of machine learning in the healthcare and manufacturing industries. Hossein currently teaches SQL (DAT560G) and Big Data Analytics (DAT560M) to graduate students at Olin Business School.
Phone: (314) 935-9108
PhD 2019, Kansas State University
MS 2015, Kansas State University
BS 2007, Khaje Nasir Toosi University of Technology (KNTU)