Dr. Nathan B. Gaw, Assistant Professor of Operations Research

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Comm: 937-255-3636 x4791
DSN: 785-3636 x4791
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Conferences Invited

  • Gaw N, Chong CD, Schwedt TJ, Berisha V, Wu T, Ross K, Dumkrieger G, Zhang J, Nikolova S, Li J (October 2021) Multi-modal predictive model for persistent post-traumatic headache. 2021 INFORMS Annual Meeting. Invited Presentation.
  • Shah J, Chong CD, Schwedt TJ, Berisha V, Li J, Ross K, Dumkrieger G, Zhang J, Gaw N, Nikolova S, Wu T (October 2021) Interpreting deep learning model predictions using Shapley values. 2021 INFORMS Annual Meeting. Invited Presentation.
  • Gaw N, Schwedt TJ, Dumkrieger G, Wu T, Berisha V, Nikolova S, Ross K, Li J, Chong CD (August 2021) Functional brain network alterations in post-traumatic headache: Relationship between the dorsolateral attention network and patient symptoms. 2021 Military Health System Research Symposium (MHSRS)Cancelled due to Covid-19.
  • Gaw N, Schwedt TJ, Dumkrieger G, Wu T, Berisha V, Nikolova S, Ross K, Li J, Chong CD (May 2021) Functional brain network alterations in post-traumatic headache: Relationship between the dorsolateral attention network and patient symptoms. 2nd Annual HEAL Initiative Investigator Meeting.
  • Gaw N, Lancaster H, Perdue M, Grigorenko E, Landi N, Li J (November 2020) Bayesian integration of genetic, neuroimaging, and behavior data in studies of reading (dis)ability. 2020 INFORMS Annual Meeting. Invited Presentation.
  • Arun NT, Gaw N, Singh P, Chang K, Hoebel KV, Patel J, Gidwani M, Kalpathy-Cramer J (July 2020) Assessing the validity of saliency maps for abnormality localization in medical imaging. Medical Imaging with Deep Learning (MIDL) 2020.
  • Gaw N, Yoon H, Li J (November 2019) Simultaneous feature and instance selection in semi-supervised regression for smartphone-based telemonitoring of Parkinson’s Disease patients. 2019 INFORMS Annual Meeting. Invited presentation.
  • Gaw N, Li J (November 2019) Active learning for spatial brain tumor cell density prediction using multiparametric magnetic resonance imaging. 2019 INFORMS Annual Meeting. Invited presentation.
  • Gaw N, Li J (May 2019) Feature and instance selection in semi-supervised learning (s2SSL) for smartphone-based telemonitoring of Parkinson’s Disease. 2019 IISE Annual Conference and Expo. Invited presentation.
  • Gaw N, Hu LS, Swanson KR, Li J (May 2019) Integration of machine learning and mechanistic models for spatial brain tumor density prediction using multiparametric magnetic resonance imaging. 2019 IISE Annual Conference and Expo. Invited presentation.
  • Hu LS, Gaw N, Yoon H, et al. (November 2018) Radiogenomics on Venus and Mars: Impact of sex-differences on MRI and genetic correlations in glioblastoma. 23rd Annual Scientific Meeting of the Society for Neuro-Oncology.
  • Gaw N, Hu LS, Swanson KR, Li J (November 2018) Integration of machine learning and mechanistic models for spatial brain tumor density prediction using multiparametric magnetic resonance imaging. 2018 INFORMS Annual Meeting. Invited presentation.
  • Gaw N, Hu LS, Swanson KR, Li J (November 2018) Integration of Machine Learning and Mechanistic Models for Spatial Brain Tumor Density Prediction Using Multiparametric Magnetic Resonance Imaging. Mayo Clinic Arizona. Invited seminar.
  • Swanson KR, Gaw N, Hawkins-Daarud A, et al. (November 2017) Radiomics of tumor invasion 2.0: combining mechanistic tumor invasion models with machine learning models to accurately predict tumor invasion in glioblastoma patients. 22nd Annual Scientific Meeting of the Society for Neuro-Oncology.
  • Jackson P, Gaw N, Hawkins-Daarud A, et al. (November 2017) P53 amplification modifies the glioblastoma microenvironment: differentiating the contribution of cells vs edema in the T2 weighted MRI signal. 22nd Annual Scientific Meeting of the Society for Neuro-Oncology.
  • Wu T, Gaw N, et al. (2017) Quantitative Imaging System for Cancer Diagnosis and Treatment Planning: An Interdisciplinary Approach. INFORMS TutORials in Operations Research 2017: pp. 153-177.
    • Tutorial for the 2017 INFORMS Annual Meeting
  • Gaw N, Schwedt TJ, Chong CD, Wu T, Li J (September 2017) A clinical decision support system using multi-modality imaging data for migraine classification. 18th Congress of the International Headache Society.
    • This abstract was chosen as the top 3 out of 99 submitted abstracts by doctoral students to participate in the Trainees Presentation Tournament.
  • Chong CD, Gaw N, Fu Y, Li J, Wu T, Schwedt TJ (April 2016) Identifying migraine: building classifiers using resting-state fMRI data. 68th American Academy of Neurology Annual Meeting.
  • Schwedt TJ, Chong CD, Wu T, Gaw N, Fu Y, Li J (June 2015) Accurate classification of chronic migraine via brain magnetic resonance imaging. 57th Annual Scientific Meeting of the American Headache Society.
  • Kleim JA, Gaw N, Laitano J, Santello M (November 2013) The hand therassist to enhance upper extremity motor rehabilitation after stroke. Society for Neuroscience.
  • Bosco A, Fu Q, Gaw N, Fattori P, Santello M (November 2012) Role of online visual feedback on digit force-position coordination for dexterous manipulation. Society for Neuroscience.
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