Dr. Nathan B. Gaw, Assistant Professor of Data Science

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Comm: 937-255-6418
DSN: 785-3636 x4791
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Conferences Invited

 

(Authors in italic font are my students)

  • Johnston N, Gaw N, Wertz J, Cox B, Blasch E, Cherry M, O’Rourke S, Homa L (June 2023) Automated Registration of Polarized Light Microscopy Images Using Deep Learning Techniques. 91st Military Operations Research Symposium.
  • Gaw N, Barry G, Johnstone C, Jenkins P, Caballero W (May 2023) A Conformal Prediction Approach to Quantify Student Pilot Error via Multimodal Physiological Signals. 2023 IISE Annual Conference and Expo. IISE DAIS Special Session Presentation.
  • Johnston N, Gaw N, Wertz J, Cox B, Blasch E, Cherry M, O’Rourke S, Homa L (April 2023) Automated Registration of Polarized Light Microscopy Images Using Deep Learning Techniques. Department of Air Force Data, Analytics, and AI Forum.
  • Barry G, Gaw N, Johnstone C, Jenkins P, Caballero W (April 2023) A Conformal Prediction Approach to Quantify Student Pilot Error via Multimodal Physiological Signals. Department of Air Force Data, Analytics, and AI Forum.
  • Gaw N (December 2022) Semi-supervised Learning to Balance Data Inclusivity and Usability. The University of Arizona Systems and Industrial Engineering Seminar Series. Invited Presentation.
  • Gaw N, Li J, Yoon H (October 2022) S2SSL: Simultaneous Feature and Instance Selection in Semi-Supervised Learning with Application to Smartphone-based Telemonitoring. 2022 INFORMS Annual Meeting. Invited Presentation.
  • Metzgar G, Gaw N (October 2022) Multimodal Fusion of Satellite and Radar to Predict Future Weather Events. 2022 INFORMS Annual Meeting. Invited Presentation.
  • Barry G, Gaw N, Johnstone C, Jenkins P, Caballero W (October 2022) A Conformal Prediction Approach to Quantify Pilot Error and Flight Difficulty via Multimodal Physiological Signals. 2022 INFORMS Annual Meeting. Invited Presentation.
  • Harvill B, Johnstone J, Gaw N (October 2022) Federated Learning on Telemonitoring of Parkinson’s Disease Patients. 2022 INFORMS Annual Meeting. Invited Presentation.
  • Johnston N, Wertz J, Blasch E, Cherry M, O’Rourke S, Lorenzo N, Homa L, Gaw N (October 2022) Data Fusion for Multi-scale Mixed Modality Microstructure Characterization to Find Failure Modes in Titanium Metal Armor of Aircraft. 2022 INFORMS Annual Meeting. Invited Presentation.
  • Byungmoo K, Gaw N (October 2022) Multimodal Modeling for Post-traumatic Headache of Student Athletes. 2022 INFORMS Annual Meeting. Invited Presentation.
  • Barry G, Gaw N, Johnstone C, Jenkins P, Caballero WN (August 2022) A Conformal Prediction Approach to Quantify Pilot Error and Flight Difficulty via Multimodal Physiological Signals. MIT Lincoln Laboratory.
  • Gaw N, Jenkins PR, Caballero WN (May 2022) A Machine Learning Approach to Quantify United States Air Force Pilot Performance through Physiological Signals. 2022 IISE Annual Conference and Expo. Invited Presentation.
  • Gaw N, Jenkins PR, Caballero WN, Johnstone C, Hoecherl J (April 2022) A Machine Learning Pipeline to Classify Pilot Training Flight Difficulty. 2022 Air Force Operations Research Symposium (AFORS).
  • 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 (September 2019) Novel Semi-Supervised Learning Models to Balance Data Inclusivity and Usability in Healthcare Applications. Roche Pharmaceuticals, Ventana Medical Systems, Tucson, AZ.
  • 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 IHC 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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