-
About
Marist's Fall Open House
Experience all that Marist has to offer at our Fall Open House.
• October 13
• November 9About
-
Academics
Marist's Fall Open House
Experience all that Marist has to offer at our Fall Open House.
• October 13
• November 9Academics
-
Admission & Financial Aid
Marist's Fall Open House
Experience all that Marist has to offer at our Fall Open House.
• October 13
• November 9Admission & Financial Aid
-
Student Life
Marist's Fall Open House
Experience all that Marist has to offer at our Fall Open House.
• October 13
• November 9Student Life
- Athletics
Reza Sadeghi
Assistant Professor of Computer Science
Bio
Dr. Reza Sadeghi is an Assistant Professor of Computer Science at Marist College. He loves to research and teach on both artificial intelligence and statistical analysis. His main research interest revolves around facilitating decision making processes and discovering causal relationships in the fields of health care, learning analytics, and Web using novel Business Intelligence and Analytics Systems. He contributes to the Institute of Electrical and Electronics Engineers (IEEE), the IEEE Engineering in Medicine and Biology Society (EMBS), and the American Thoracic Society (ATS). Please refer to his personal website in order to explore his peer-reviewed publications, current research, and probable research opportunities to work under his supervision.
Prior to Marist College, Dr. Sadeghi lectured various computer science and data analytics courses at four higher education institutes of Sacred Heart University, University of New Haven, Bay Path University, and Providence College. Throughout his Ph.D. at Wright State University, he worked as a graduate research assistant in the Data Science for Healthcare Lab to predict subjective sleep quality in older adults using objective measurements. He also carried out a research trainee appointment with Brigham and Women's Hospital, Harvard Medical School, during his Ph.D. dissertation research projects.
Education
PhD, Computer Science, Wright State University, 2020
MS, Computer Engineering, Software, Imam Reza International University, 2015
BS, Computer Engineering, Isfahan University of Technology, Software, 2012
Research Interests
- Creating clinical decision support systems by data analytics and machine learning techniques.
- Modeling complex systems using probabilistic graphical models, deep learning, and Fuzzy Logic.
- Design and implementation of expert systems to predict abnormalities.
- Provide credible diagnosis and predictions using the limited data.
- Information retrieval from online medical literatures and social media.