G M Fahad Bin Mostafa
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FAB, N209; 13591 N. 47th Ave. Phoenix, AZ 85051
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Campus: West
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G M Fahad Bin Mostafa, a.k.a. Fahad Mostafa, is an assistant professor in Statistics and Biomedical Data Science at the Interdisciplinary Arts and Sciences of Arizona State University. He works in the fields of medical statistics, health data science, stochastic process in epidemiology, and AI in biology and medicine.
Mostafa's PhD dissertation, "Statistical Machine Learning Models for Biomedical Science", highlights his passion for learning algorithms in medical statistics. He has a strong foundation in statistical science and his research encompasses machine learning, uncertainty quantification, computational biology, and biostatistics. His recent focus has been on identifying patterns in high-dimensional biomedical data, particularly in infectious diseases, Cancer and Alzheimer disease research.
He’s research focuses on developing advanced machine learning methodologies for predictive modeling. By integrating statistical learning, time series analysis, and artificial intelligence, he aims to enhance disease diagnosis, monitoring, and treatment. His interdisciplinary approach spans electronic health records (EHR), cancer infrared tomography, genomics, and medical imaging, improving the accuracy and reliability of clinical decision-making. A key area of his work includes infectious disease modeling, where he applies dynamic predictive frameworks to track outbreaks, forecast transmission patterns, and support public health interventions. Leveraging large-scale biomedical data and real-time analytics, Mostafa designs models that adapt to evolving disease landscapes, enabling earlier detection and more targeted responses. His research bridges computational innovation with medical insight, contributing to personalized medicine and population-level health strategies. Through this fusion of data science and clinical relevance, Mostafa is driving forward the next generation of intelligent healthcare systems. He collaborates with researchers from TTUHSC, CU Anschutz, NJMS, and the FDA, making significant contributions to the advancement of biomedical and statistical science.
I am seeking PhD students to join my lab in the areas of Data Science (DSAE) or Statistics.
- Postdoctoral Biostatistician. University of Colorado School of Medicine 2024-25
- ORISE Fellow in Machine Learning. NCTR, FDA 2023
- Ph.D. Statistics, Texas Tech 2024
- MS. Statistics, Texas Tech 2022
- MS. Applied Mathematics, University of Dhaka, Bangladesh 2016
- BS. Mathematics, University of Dhaka, Bangladesh 2014
- Statistical Learning
- Biostatistics
- Biomedical Data Science
- Stochastic Process in Epidemiology
- Time Series Analysis
- AI in Medicine and Genomics
Hiring PhD students for Data Science, Analytics and Engineering, and Statistics in my Lab.
Graduate College Faculty
- Statistics (PHD) (Endorsed to Chair)
- Data Science, Analytics and Engineering (PHD) (Endorsed to Chair)
Graduate Students at my Lab
- Chung Yu, BDS MS
- Catalina Zamora, BDS MS
- Kushagra Sharma, Statistics MS
- Nosizo Lukhele, BDS MS
Selected Recent Works
- Mostafa, F., & Chen, M. (2026). Machine learning and artificial intelligence methods for predicting liver toxicity. Machine Learning and Artificial Intelligence in Toxicology and Environmental Health, Elsevier Academic Press, (pp. 139-152).
- Hassan, R.,., Mostafa, F., & Rahman, M. M. (2026). An efficient dual-line decoder network with multi-scale convolutional attention for multi-organ segmentation. Biomedical Signal Processing and Control, 112, 108611.
- Mostafa, F.,, & Khan, H. (2025). Functional Random Forest with Adaptive Cost-Sensitive Splitting for Imbalanced Data Classification. arXiv preprint arXiv:2512.07888.
- Mostafa, F., Hossain, K.,& Khan, H. (2025). Deep Learning Approaches with Explainable AI for Differentiating Alzheimer Disease and Mild Cognitive Impairment. arXiv preprint arXiv:2510.00048.
- Mostafa, F. (2025). A Statistical Framework for Model Selection in LSTM Networks. Available at arXiv:2506.06840
- Mostafa, F., & JS Allen, L. (2025). Periodic mean-reverting stochastic differential equations and parameter estimations for seasonal data. Stochastic Models, 1-32.
- Khan, H., Farhana, F., Mostafa, F.,... & Reddy, P. H. (2025). Gender differences in cognitive impairment among the elderly in rural West Texas counties. Journal of Alzheimer’s Disease,. 2025; 103 (3): 687-705.
- Mostafa, F., Khan, H., Farhana, F., & Miah, M. A. H. (2025). Application of Deep Learning Framework for Early Prediction of Diabetic Retinopathy. AppliedMath (Optimization and Machine Learning), 5(1), 11.
- Chakroborty, S., & Mostafa, F. (2024). Implementation of Holling Type-II Functional Response for COVID-19 Disease Modeling. Available at SSRN 4953603.
- Khan, H., Farhana, F., Mostafa, F.,... & Reddy, P. H. (2024). Comparative Study of Risk Factors Associated with Normal Cognition and Cognitive Impairment in Rural West Elderly Texans. Journal of Alzheimer's Disease Reports, 8(1), 1133-1151.
- Mostafa, F., Howle, V., & Chen, M. (2024). Machine learning to predict drug-induced liver injury and its validation on failed drug candidates in development. Toxics (Predictive Toxicology), 12(6), 385.
- Husar, K.,., Mostafa, F., & Allen, L. J. (2024). Lyme disease models of tick-mouse dynamics with seasonal variation in births, deaths, and tick feeding. Bulletin of Mathematical Biology, 86(3), 25.
- Jaffry, M., Aftab, O. M., Mostafa, F., et al. (2023). Optic neuritis after COVID-19 vaccination: an analysis of the vaccine adverse event reporting system. Journal of Neuro-Ophthalmology, 43(4), 499-503.
- Hasan, M. E., Mostafa, F., Hossain, M. S., & Loftin, J. (2023). Machine-learning classification models to predict liver cancer with explainable AI to discover associated genes. AppliedMath, 3(2), 417-445.
- Jaffry, M., F. Mostafa, et al. "No significant increase in Guillain-Barré syndrome after COVID-19 vaccination in adults: A vaccine adverse event reporting system study." Vaccine 40, no. 40 (2022): 5791-5797.
- Hasan, E., Mostafa, F., Hossain, M. S., & Loftin, J. (2022). Explainable-AI to Discover Associated Genes for Classifying Hepato-cellular Carcinoma from High-dimensional Data. medRxiv, 2022-08.
- Mandava, K., Jaffry, M., Mostafa, F., Jaffry, K., Khan, H., & Souayah, N. (2022). Machine Learning Analysis of Anosmia and Ageusia after COVID-19 Vaccination: A Vaccine Adverse Event Reporting System (VAERS) Study. Neurology, 98, 2214.
- Mostafa, F., Hasan, E., Williamson, M., & Khan, H. (2021). Statistical machine learning approaches to liver disease prediction. Journal Livers 1, 294–312 .
- Mostafa, F., Ganji, R., St. John, J., & Khan, H. (2021). Coronavirus (COVID-19) Spike in Georgia: An Epidemiological Study of Data, Modeling, and Policy Implications to Understand the Gender-and Race-Specific Variations. medRxiv, 2021-12.
- Mostafa, F., Saha, P., Islam, M. R., & Nguyen, N. (2021). GJR-GARCH volatility modeling under NIG and ANN for predicting top cryptocurrencies. Journal of Risk and Financial Management, 14(9), 421.
Courses
2026 Spring
| Course Number | Course Title |
|---|---|
| BIO 593 | Applied Project |
| BIO 599 | Thesis |
| STP 315 | Statistical Computing |
2025 Fall
| Course Number | Course Title |
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| STP 280 | Probabilty Statistics Research |
| BIO 599 | Thesis |
| BIO 593 | Applied Project |
| STP 280 | Probabilty Statistics Research |
2025 Spring
| Course Number | Course Title |
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| STP 427 | Mathematical Statistics |
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SIAM Mathematics of Data Science Conference, Travel Award 2024.
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SIAM Annual Meeting, Spokane WA, Travel Award 2024.
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TTU Graduate Student Research Award, 2023-24
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Deans Award, TTU Graduate School, 2024.
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SIAM Graduate Student Research Award 2023.
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SIAM Mathematics of Data Science Conference, Travel Award 2022.
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47th Annual Spring Lecture Series, Numerical Linear Algebra: from Scientific Computing to Data Science Applications, University of Arkansas, Travel Award 2022.
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Texas Tech University Hildebrand Scholar Award, 2022.
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TTU Graduate School Travel Award, 2021.
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SIAM TX-LA Travel Award, 2020.
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TTU Graduate School Carl H. Gelin Scholarship, 2020.
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TTU Graduate School Research Poster Competition winner, 2019.
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Sweden-BGD Trust Fund Fellowship, 2019.
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TTU Hua Yu Memorial Scholarship, 2019-20.
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National Science and Technology Fellowship, 2015-16.
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DU Undergraduate Merit Scholarship 2014-15.
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International Statistical Institute (ISI)
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Society of Industrial and Applied Mathematics (SIAM)
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American Statistical Association (ASA)
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American Mathematical Society (AMS)
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Royal Statistical Society, United Kingdom
- Postdoctoral Researcher, CU Medicine, 2024
- ORISE Postgraduate Fellow, 2023
- GPTI/TA/RA, Texas Tech, 2018-2024
- Mentor at American Statistical Association DataFest 2025 - ASU
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Thesis Committee Member at ASU, 2025 - Present
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President SIAM TTU Chapter, 2022-23
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Judge, Undergraduate Research Poster Competition, Texas Tech, 2022-23.
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Judge, Virtual Poster Competition, Texas Tech Graduate School, 2021.
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Vice President of Math Club (MATHEMA), University of Dhaka, 2014-15.
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General Secretary, F.H. Hall Debating Club, University of Dhaka, 2013-14.
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Convener, 6th National Science Debate Competition, University of Dhaka, 2013.