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Assistant Professor, Health Administration and Policy
Contact Information
Personal Websites
Biography
Abdul Hafeez is an assistant professor in the Department of Health Administration and Policy at George Mason University. His research focus revolves around the applications of computer science in cross-disciplinary domains such as healthcare. He enjoys collaborating with biologists and physicians to find solutions to novel problems in healthcare using machine learning, data mining, and cloud computing. He has designed and developed approaches to detect diseases at their early stages from the raw data arising from biological probes. Furthermore, he has used machine learning approaches in projects such as detecting skin cancer from open-source datasets, detecting COVID-19 from chest radiographs, and used a cloud-based machine learning technique to detect the vital signs of a patient. Prior to Mason, he was a consultant data scientist, developer data scientist, and data engineer with start-ups, healthcare, and the fintech industry.
Research/Scholarship Interests
- Health Informatics
- Databases
- Data Analytics
- Machine Learning
- Cloud Computing
Select Publications
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Abdul Hafeez, A Illyas, AR Butt, SM Iqbal, “Identifying Sick Cells From High-Resolution Solid-State Micropore Data”, ASME International Mechanical Engineering Congress and Exposition (IMECE), New Orleans, Louisiana, Oct-2023
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W Muhammad*, T Kamal, Tai-Won Um, Abdul Hafeez, B Habib, and K Erik Skouby. "Unlocking Insights in IoT-Based Patient Monitoring: Methods for Encompassing Large-Data Challenges." Sensors 23, no. 15 (2023): 6760
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M Farooq, Abdul Hafeez, “COVID-ResNet: A Deep Learning Framework for Screening of COVID19 from Radiographs”, arXiv preprint arXiv:2003: 14395 (2020)
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Muniba A*, Nasru M, Zahid U, Arbab M A, Aamir S, and Abdul Hafeez, “Performance Analysis of Low-Level and High-Level Intuitive Features for Melanoma Detection”, MPDI Electronics, IF: 2.41, 2019
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Madiha H*, Abdul Hafeez, Suleiman Y*, M. M. Rafique, A. R. Butt and S. M. Iqbal, “An Accelerated Framework for the Classification of Biological Targets from Solid-State Micropore Data”, Computer Methods and Programs in Biomedicine, Elsevier 2016, IF: 6.1
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Abdul Hafeez, M. M. Rafique, and A. R. Butt, "Distributed Detection of Cancer Cells in Cellular Spike Streams", In Proceedings of the Workshop on Clusters, Clouds and Grids for Health (CCGRID-Health), Chicago, IL, USA, pages 10, May-2014
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Abdul Hafeez, W. Asghar, M. M. Rafique, S.M. Iqbal, A.R. Butt, GPU-based real-time detection and analysis of biological targets using solid-state nanopores, Journal of Medical and Biological Engineering and Computing (MBEC), Springer US. Volume 50, Issue 6, pp. 605–615. March 2012, IF: 3.1
Honors and Awards
- Graduate Research Award, Virginia Tech
- Pratt Fellowship, Virginia tech
- GT-FIRE Award, Georgia Tech
- HEC Overseas Scholarship Award
Professional Affiliations/Memberships:
- Reviewer, Neural Computing and Applications
- Reviewer, Computers in Biology and Medicine
- Member, IEEE
- Member, ACM
Degrees:
- Postdoctoral Fellow, George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA
- PhD, Computer Science, Virginia Tech, USA
- MSc, Computer Engineering, George Washington University, Washington DC, USA
- BSc, Computer Systems Engineering, University of Engineering and Tech, Pakistan