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Nariman Ammar

Assistant Professor
School Information Technology
Williams Hall - WIH 17E
  • About
  • Education
  • Awards & Honors
  • Research

Current Courses

426.001Advanced Software Engineering

400.001Independent Study

168.013Structured Problem Solving Using The Computer

168.016Structured Problem Solving Using The Computer

426.002Advanced Software Engineering

168.010Structured Problem Solving Using The Computer

168.016Structured Problem Solving Using The Computer

Teaching Interests & Areas

Software Programming
Software Design
Software Engineering
Advanced Web Programming
Data Science and data analysis

Research Interests & Areas

Health Informatics
Explainable AI
Knowledge Representation
Applied Machine Learning
Privacy Management

PhD Computer Science

Wayne State University
Detroit, Michigan, United States

Summer Research Grant (SRG)

School of Information Technology, Illinois State University

University Research Grant (URG)

College of Science and Applied Technolog, Illinois State University

Impact Award

Illinois State University

Best Paper Award

IEEE Computing Society

Graduate Professional Scholarship

Wayne State University Graduate School

Journal Article

Reese, J., Blau, H., Casiraghi, E., Bergquist, T., Loomba, J., Callahan, T., Laraway, B., Antonescu, C., Coleman, B., Gargano, M., Wilkins, K., Cappelletti, L., Fontana, T., Ammar , N., Antony, B., Murali, T., Caufield, J., Karlebach, G., McMurry, J., Williams, A., Moffitt, R., Banerjee, J., Solomonides, A., Davis, H., Kostka, K., Valentini, G., Sahner, D., Chute, C., Madlock-Brown, C., Haendel, M., & Robinson, P. Generalisable long COVID subtypes: findings from the NIH N3C and RECOVER programmes.. EBioMedicine 87 (2023): 104413.
Brakefield, W., Ammar , N., & Shaban-Nejad, A. An Urban Population Health Observatory for Disease Causal Pathway Analysis and Decision Support: Underlying Explainable Artificial Intelligence Model.. JMIR formative research 6.7 (2022): e36055.
Cushing, A., Khan, M., Kysh, L., Brakefield, W., Ammar , N., Liberman, D., Wilson, J., Shaban-Nejad, A., & Espinoza, J. Geospatial data in pediatric asthma in the United States: a scoping review protocol.. JBI evidence synthesis 20.11 (2022): 2790-2798.
Gaudio, E., Ammar , N., Gunturkun, F., Akkus, C., Brakefield, W., Wakefield, D., Pisu, M., Davis, R., Shaban-Nejad, A., & Schwartz, D. Defining Radiation Treatment Interruption Rates During the COVID-19 Pandemic: Findings From an Academic Center in an Underserved Urban Setting.. International journal of radiation oncology, biology, physics (2022)
Hamilton, H., West, A., Ammar , N., Chinthala, L., Gunturkun, F., Jones, T., Shaban-Nejad, A., & Shah, S. Analyzing Relationships Between Economic and Neighborhood-Related Social Determinants of Health and Intensive Care Unit Length of Stay for Critically Ill Children With Medical Complexity Presenting With Severe Sepsis.. Frontiers in public health 10 (2022): 789999.


An approach for AI Explainability with Applications in Healthcare. Minnesota State University's Biological Sciences Friday Seminar. (2023)

Grants & Contracts

School Research Grant (SRG): Privacy-Preserving Framework using Prognostic ML Models for Applications in Precision Medicine.. School of Information Technology, Illinois State University. Illinois State University. (2023)
University Research Grant (URG): Machine Learning Powered Knowledge Discovery for Precision Maternal Fetal Medicine. College of Science and Applied Technolog. Illinois State University. (2023)