Dr. Firas Muin Al-Hindawi
Assistant Professor
- Office: 22-350
- Phone: 966-13-860-2894
- Email: firas.hindawi@kfupm.edu.sa
- Google Scholar: Link
- Pure Profile: Link
- Research Projects: Link
Affiliation: Interdisciplinary Research Center for Smart Mobility and Logistics
Education
- PhD, Data Science, Analytics and Engineering, Arizona State University, 2024
- MSc, Industrial Engineering, Arizona State University, 2021
- BSc, Industrial Engineering, University of Jordan, 2013
Teaching
- ISE 291: Introduction to Data Science
- ISE 315: Engineering Statistics
- ISE 411: Senior Design Project I
- ISE 412: Senior Design Project II
Research Interests
- AI for Healthcare and Cognitive Assessment
- Domain Adaptation in Computer Vision
- AI for Industry and Thermal Engineering
- Biomedical Time Series
Selected Publications
- Al-Hindawi, F., Siddiquee, M. M. R., Patharkar, A., et al. (2026). "SequenceSync-GAN: sequence-aware domain translation for generalizable boiling crisis detection." Signal, Image and Video Processing.
- Al-Hindawi, F., Wu, T., Wen, Y., et al. (2026). "Leveraging Naturalistic Driving Digital Biomarkers for Early Mild Cognitive Impairment Detection: Deep Learning Strategies." JMIR Medical Informatics.
- Al-Hindawi, F., Serhan, P., Geda, Y. E., et al. (2025). "LiveDrive AI: A pilot study of a machine learning-powered diagnostic system for real-time, non-invasive detection of mild cognitive impairment." Bioengineering.
- Patharkar, A., Al-Hindawi, F., and Wu, T. (2025). "Healthy bio-core: A framework for selection of homogeneous healthy biomedical multivariate time series employing classification performance." IEEE Journal of Biomedical and Health Informatics.
- Al-Hindawi, F., Siddiquee, M. M. R., Wu, T., et al. (2024). "Domain-knowledge Inspired Pseudo Supervision (DIPS) for Unsupervised Image-to-Image Translation Models to Support Cross-Domain Classification." Engineering Applications of Artificial Intelligence.
- Patharkar, A., Cai, F., Al-Hindawi, F., and Wu, T. (2024). "Predictive modeling of biomedical temporal data in healthcare applications: Review and future directions." Frontiers in Physiology.
- Serhan, P., Victor, S., Osorio Perez, O., Abi Karam, K., Elghoul, A., Ransdell, M., Al-Hindawi, F., Geda, Y., Chahal, G., Eagan, D., et al. (2024). "Smart driving technology for non-invasive detection of age-related cognitive decline." Sensors.
- Al-Hindawi, F., Soori, T., Hu, H., et al. (2023). "A framework for generalizing critical heat flux detection models using unsupervised image-to-image translation." Expert Systems with Applications.
- Li, T., Xu, Y., Wu, T., Charlton, J. R., Bennett, K. M., and Al-Hindawi, F. (2023). "BlobCUT: a contrastive learning method to support small blob detection in medical imaging." Bioengineering.
- Al-Hindawi, F., Siddiquee, M. M. R., Wu, T., et al. (2023). "Pseudo Supervised Metrics: Evaluating Unsupervised Image to Image Translation Models In Unsupervised Cross-Domain Classification Frameworks." CoRR.
- Rassoulinejad-Mousavi, S. M., Al-Hindawi, F., Soori, T., et al. (2021). "Deep learning strategies for critical heat flux detection in pool boiling." Applied Thermal Engineering.
- Altarazi, S., Allaf, R., and Al-Hindawi, F. (2019). "Machine learning models for predicting and classifying the tensile strength of polymeric films fabricated via different production processes." Materials.
- Al-Hindawi, F., and Altarazi, S. (2018). "Predicting the tensile strength of extrusion-blown high density polyethylene film using machine learning algorithms." IEEE International Conference on Industrial Engineering and Engineering Management (IEEM).
Awards
- Outstanding PhD Student Award, School of Computing & Augmented Intelligence. 2025
- SCAI Doctoral Fellowship Award, School of Computing & Augmented Intelligence. 2022
- Fulton Fellowship Award, Ira A. Fulton Schools of Engineering. 2021-2022
- Engineering Graduate Fellowship Award, Ira A. Fulton Schools of Engineering. 2021
- Graduate Research Assistantship, ASU-Mayo Clinic Center for Innovative Imaging (AMCII) lab. 2019 - 2024
- Fulbright Pre-Doctoral Scholarship Award 2019 - 2021