Hamza Farooq

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Hamza Farooq

Dr

 https://orcid.org/0000-0001-5311-4368

Willing to speak to media

20102020

Research activity per year

Personal profile

Research interests

machine learning, health-sector sensing, data processing and analysis techniques, medical imaging, optimization theory, graph theory

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 4 - Quality Education
  • SDG 9 - Industry, Innovation, and Infrastructure

Education/Academic qualification

PhD, Electrical Engineering (minors in Biomedical Engineering), University of Minnesota Twin Cities

Sep 10 2012 → Aug 31 2017

Award Date: Aug 31 2017

MS, Electrical Engineering (minors in Biomedical Engineering), University of Minnesota Twin Cities

Award Date: Apr 30 2016

MS, Computer Engineering, University of Engineering and Technology, Taxila

Award Date: Sep 30 2010

BS, Mechanical Engineering, National University of Sciences and Technology Pakistan

Award Date: Oct 31 1999

Research Interest Keywords

  • Brain Networks
  • Diffusion-weighted imaging
  • Machine Learning and Data Science
  • Optimization theory
  • Graph theory
  • Differential geometry
  • medical imaging
  • Graph neural networks

Fingerprint

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  • 4 Conference contribution
  • 4 Article

  • Robustness of Brain Structural Networks Is Affected in Cognitively Impaired MS Patients

    Farooq, H., Lenglet, C. & Nelson, F., Nov 19 2020, In: Frontiers in Neurology. 11, 606478.

    Research output: Contribution to journal › Article › peer-review

    Open Access
    9 Scopus citations

  • Network curvature as a hallmark of brain structural connectivity

    Farooq, H., Chen, Y., Georgiou, T. T., Tannenbaum, A. & Lenglet, C., Dec 1 2019, In: Nature communications. 10, 1, 4937.

    Research output: Contribution to journal › Article › peer-review

    Open Access
    42 Scopus citations

  • Brain parcellation and connectivity mapping using wasserstein geometry

    Farooq, H., Chen, Y., Georgiou, T. & Lenglet, C., 2018, Computational Diffusion MRI - MICCAI Workshop, 2017. Kaden, E., Grussu, F., Ning, L., Tax, C. M. W. & Veraart, J. (eds.). Springer, p. 165-174 10 p. (Mathematics and Visualization).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Brain tissue micro-structure imaging from diffusion MRI using least squares variable separation

    Farooq, H., Xu, J., Yacoub, E., Georgiou, T. & Lenglet, C., 2016, Computational Diffusion MRI - MICCAI Workshop, 2015. Rathi, Y., Fuster, A., Ghosh, A., Kaden, E. & Reisert, M. (eds.). Springer Heidelberg, p. 55-64 10 p. (Mathematics and Visualization; vol. none).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    1 Scopus citations

  • Divergent clonal selection dominates medulloblastoma at recurrence

    Morrissy, A. S., Garzia, L., Shih, D. J. H., Zuyderduyn, S., Huang, X., Skowron, P., Remke, M., Cavalli, F. M. G., Ramaswamy, V., Lindsay, P. E., Jelveh, S., Donovan, L. K., Wang, X., Luu, B., Zayne, K., Li, Y., Mayoh, C., Thiessen, N., Mercier, E. & Mungall, K. L. & 118 others, Ma, Y., Tse, K., Zeng, T., Shumansky, K., Roth, A. J. L., Shah, S., Farooq, H., Kijima, N., Holgado, B. L., Lee, J. J. Y., Matan-Lithwick, S., Liu, J., Mack, S. C., Manno, A., Michealraj, K. A., Nor, C., Peacock, J., Qin, L., Reimand, J., Rolider, A., Thompson, Y. Y., Wu, X., Pugh, T., Ally, A., Bilenky, M., Butterfield, Y. S. N., Carlsen, R., Cheng, Y., Chuah, E., Corbett, R. D., Dhalla, N., He, A., Lee, D., Li, H. I., Long, W., Mayo, M., Plettner, P., Qian, J. Q., Schein, J. E., Tam, A., Wong, T., Birol, I., Zhao, Y., Faria, C. C., Pimentel, J., Nunes, S., Shalaby, T., Grotzer, M., Pollack, I. F., Hamilton, R. L., Li, X. N., Bendel, A. E., Fults, D. W., Walter, A. W., Kumabe, T., Tominaga, T., Collins, V. P., Cho, Y. J., Hoffman, C., Lyden, D., Wisoff, J. H., Garvin, J. H., Stearns, D. S., Massimi, L., Schüller, U., Sterba, J., Zitterbart, K., Puget, S., Ayrault, O., Dunn, S. E., Tirapelli, D. P. C., Carlotti, C. G., Wheeler, H., Hallahan, A. R., Ingram, W., MacDonald, T. J., Olson, J. J., Van Meir, E. G., Lee, J. Y., Wang, K. C., Kim, S. K., Cho, B. K., Pietsch, T., Fleischhack, G., Tippelt, S., Ra, Y. S., Bailey, S., Lindsey, J. C., Clifford, S. C., Eberhart, C. G., Cooper, M. K., Packer, R. J., Massimino, M., Garre, M. L., Bartels, U., Tabori, U., Hawkins, C. E., Dirks, P., Bouffet, E., Rutka, J. T., Wechsler-Reya, R. J., Weiss, W. A., Collier, L. S., Dupuy, A. J., Korshunov, A., Jones, D. T. W., Kool, M., Northcott, P. A., Pfister, S. M., Largaespada, D. A., Mungall, A. J., Moore, R. A., Jabado, N., Bader, G. D., Jones, S. J. M., Malkin, D., Marra, M. A. & Taylor, M. D., Jan 21 2016, In: Nature. 529, 7586, p. 351-357 7 p.

    Research output: Contribution to journal › Article › peer-review

    Open Access
    250 Scopus citations
View all 8 Research outputs