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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

426.001Advanced Software Engineering

400.001Independent Study

168.001Structured Problem Solving Using The Computer

168.004Structured Problem Solving Using The Computer

168.013Structured 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

Best Paper Award

IEEE Computing Society

Graduate Professional Scholarship

Wayne State University Graduate School

Journal Article

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.
Melton, C., Olusanya, O., Ammar , N., & Shaban-Nejad, A. Sentiment Analysis of the Covid-19 Vaccines on Social Media.. Studies in health technology and informatics 290 (2022): 1056-1057.


Hill, E., Mehta, H., Sharma, S., Mane, K., Xie, C., Cathey, E., Loomba, J., Russell, S., Spratt, H., DeWitt, P., Ammar , N., Madlock-Brown, C., Brown, D., McMurry, J., Chute, C., Haendel, M., Moffitt, R., Pfaff, E., & Bennett, T. Risk Factors Associated with Post-Acute Sequelae of SARS-CoV-2 in an EHR Cohort: A National COVID Cohort Collaborative (N3C) Analysis as part of the NIH RECOVER program.. medRxiv : the preprint server for health sciences (2022)
Reese, J., Blau, H., Bergquist, T., Loomba, J., Callahan, T., Laraway, B., Antonescu, C., Casiraghi, E., Coleman, B., Gargano, M., Wilkins, K., Cappelletti, L., Fontana, T., Ammar , N., Antony, B., Murali, T., 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. Generalizable Long COVID Subtypes: Findings from the NIH N3C and RECOVER Programs.. medRxiv : the preprint server for health sciences (2022)