About Me
I am currently a Postdoctoral Researcher in the Department of Neurology at the University of Minnesota, collaborating with the Center for Magnetic Resonance Research. My academic journey has equipped me with a robust background in electrical and biomedical engineering, allowing me to contribute to significant advancements in MRI technology and neuroimaging.
My research spans several cutting-edge areas, including
Publications
Journal papers
Dr. Hamza Farooq has made significant contributions to the fields of medical imaging and neurology through his extensive publications. His research has been featured in prestigious journals such as Nature Communications and Scientific Reports, where he has explored groundbreaking topics like brain structural connectivity and white matter microstructure imaging. Dr. Farooq’s work on advanced MRI techniques and machine learning frameworks has garnered considerable attention and citations within the scientific community, reflecting his commitment to advancing knowledge and improving diagnostic methods in medical imaging.
Farooq, H., Xu, J., Nam, J. W., Keefe, D. F., Yacoub, E., Georgiou, T., and Lenglet, C., \Microstructure Imaging of Crossing (MIX) White Matter Fibers from diusion MRI," Scientic Reports, Vol. 6, 2016. (Impact Factor: 4.122, Citations : 23)
Farooq, H., Chen, Y., Georgiou, TT., Tannenbaum, A., Lenglet, C. \Network Curvature as a Hallmark of Brain Structural Connectivity," Nature Communications. 2019 Oct 10 (1) :4937 (Impact Factor : 11.88, Citations : 6)
Fadnavis, S., Farooq, H., Afzali, M., Lenglet, C., Georgiou, T., Cheng, H., et al., \Fitting IVIM with Variable Projection and Simplicial Optimization," arXiv preprint arXiv:1910.00095
Refereed proceedings
Fadnavis, S., Reisert, M., Farooq, H., Afzali, M., Hu, C., Amirbekian, B., and Garyfallidis, E., \MicroLearn: Framework for machine learning, reconstruction, optimization and microstructure modeling," International Society for Magnetic Resonance in Medicine, ISMRM 2019, Montreal, Canada, September 2019.
Farooq, H., Chen, Y., Georgiou, T. T., and Lenglet, C., \Some geometric ideas for feature enhancement of diusion tensor elds," 55th IEEE Conference on Decision and Control, CDC 2016, Las Vegas, NV, USA, December 12-14, 2016, pp. 3856-3861.
Farooq, H., Xu, J., Yacoub, E., Georgiou, T., and Lenglet, C., \Brain Tissue Micro-Structure Imaging from Diusion MRI Using Least Squares Variable Separation", In: Fuster A., Ghosh A., Kaden E., Rathi Y., Reisert M. (eds) Computational Diusion MRI. Mathematics and Visualization. Springer, Cham, 2016, pp. 55-64. (Citations : 3)
Hamza's
awards & honors
Throughout my career, I have been honored with prestigious awards, including the Fulbright PhD Fellowship, Interdisciplinary Doctoral Fellowship, and multiple research assistantships. These accolades underscore my dedication to research excellence and interdisciplinary collaboration.
Student Awards 2012 to 2017
Student Awards 2012 to 2017
Student Awards 2014 to 2017
Travel Awards 2012-2017
Presentations
My Paticipation
in International Conferences & Workshops
Microstucture Imaging of Complex White Matter Architecture from Diffusion MRI
2017
Interdisciplinary Doctoral Fellowship Seminar University of Minnesota
Brain White Matter Imaging from MRI Data
2017
Proces
FAQS
You have Questions?
Dr. Hamza Farooq’s primary research interests include medical imaging, Magnetic Resonance Imaging (MRI), image processing, signal processing, machine learning, differential geometry, and Multiple Sclerosis imaging.
Dr. Hamza Farooq has published his research in several prestigious journals, including Nature Communications and Scientific Reports. His work is highly regarded in the fields of medical imaging and neurology.
Dr. Hamza Farooq has received numerous awards, including the Fulbright PhD Fellowship, the Interdisciplinary Doctoral Fellowship, and multiple Graduate Research Assistantships. These awards highlight his exceptional contributions to research and academia.
You can contact Dr. Hamza Farooq via email at faroo014@umn.edu or by phone at +1 (651) 214-5195. Alternatively, you can fill out the contact form on the website, and he will respond as soon as possible.
CONTACT US
Get in Touch
For inquiries, collaborations, or further information about my research, please feel free to reach out.