Research Assistant Professor, University of Utah, United States
🎓 Fatemeh Shah Mohammadi is a dedicated Research Assistant Professor at the University of Utah’s School of Medicine, specializing in Biomedical Informatics and Clinical Data Science. With a strong foundation in machine learning, she excels in developing innovative solutions for healthcare, particularly in clinical natural language processing (NLP) and predictive analytics. Fatemeh is an active member of professional societies such as the American Medical Informatics Association and has contributed significantly to advancing health informatics through research and teaching.
Publication Profile
Google Scholar
Education
📘 Fatemeh Shah Mohammadi earned her Ph.D. in Engineering with a specialization in Machine Learning from Rochester Institute of Technology (2014–2020), where her dissertation focused on resource allocation in cognitive radio networks under the guidance of Prof. Andres Kwasinski. Prior to this, she completed her Master of Science in Electrical and Communication Engineering from Birjand University of Technology (2008–2011), demonstrating her foundational expertise in communications engineering.
Experience
💼 Fatemeh brings a wealth of experience from her roles as a Research Assistant Professor at the University of Utah, Biostatistician II/NLP Engineer at Mount Sinai Health System, and Postdoctoral Fellow at Icahn School of Medicine. Her earlier work as a Research Assistant at Rochester Institute of Technology laid the groundwork for her career in data science and health informatics.
Research Interests
🔬 Fatemeh’s research focuses on applying machine learning and natural language processing (NLP) in healthcare, with interests spanning clinical decision support, resource optimization, and cross-domain data integration. She is passionate about exploring generative AI’s potential in improving patient outcomes and healthcare delivery.
Awards
🏆 Fatemeh has received numerous accolades, including the Best Conference Paper Award at IEEE ECBIOS 2024 and recognition as the best graduate student presenter at the Wireless Telecommunications Symposium in 2020. She is a proud member of the Honor Society of Phi Kappa Phi and an active contributor to health informatics and machine learning.
Publications
Shah-Mohammadi F, Enaami H. H., Kwasinski A. (2021). Neural network cognitive engine for autonomous and distributed underlay dynamic spectrum access. IEEE Open Journal of the Communications Society, 2, 719-737. Read more
Cited by: 3 articles
Shah-Mohammadi F, Cui W, Finkelstein J. (2021). Entity Extraction for Clinical Notes, a Comparison Between MetaMap and Amazon Comprehend Medical. Stud Health Technol Inform, 281:258-262. Read more
Cited by: 5 articles
Shah-Mohammadi F, Parvanova I, Finkelstein J. (2022). NLP-Assisted Pipeline for COVID-19 Core Outcome Set Identification Using ClinicalTrials.gov. Stud Health Technol Inform, 290:622-626. Read more
Cited by: 4 articles
Shah-Mohammadi F, Finkelstein J. (2024). NLP-Assisted Differential Diagnosis of Chronic Obstructive Pulmonary Disease Exacerbation. Stud Health Technol Inform, 310:589-593. Read more
Cited by: 2 articles
Cui W, Shah-Mohammadi F, Finkelstein J. (2023). Using Electronic Medical Records and Clinical Notes to Predict the Outcome of Opioid Treatment Program. Stud Health Technol Inform, 305:568-571. Read more
Cited by: 1 article