Hossein Amini

Hossein Amini

---

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.

Area of Expertise

---

Decision Analysis, Information Technology, Innovation and Growth, Simulation Modeling

Education

---

• Ph D 2019, Kansas State University
• MS 2015, Kansas State University
• BS 2007, Khaje Nasir Toosi University of Technology (KNTU)

Teaching Interests

---

- SQL and Database management
- Big Data and Cloud Computing
- Predictive analytics in Healthcare

Research Interests

---

Applying 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.

Personal Interests

---

Ping-Pong, Badminton, Adventure, Traveling, Reviewing electronic gadgets, reading novel and history books

Selected Publications

---

• "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