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

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Comm: 937-255-6418

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Conferences Organized

Session Chair (2023), Multimodal Data Analysis for Systems Improvement. Data Analytics & Information Systems (DAIS) Division, Institute of Industrial and Systems Engineers (IISE).
Discussion Leader (2022), Fairness and Interpretability in AI/ML, DMDA Workshop, INFORMS Annual Meeting
Session Chair (2022), Multimodal Fusion with Application to Medicine, Military, and Beyond (Parts 1 and 2). Data Mining (DM) Society. INFORMS Annual Meeting.
Session Chair (2022), Applications of Spatial and Temporal Modeling. Data Analytics & Information Systems (DAIS) Division, Institute of Industrial and Systems Engineers (IISE).
Session Chair (2022), Human-computer/Human-Machine Interaction. Data Analytics & Information Systems (DAIS) Division, Institute of Industrial and Systems Engineers (IISE).
Session Chair (2022), Deep Learning in Smart Manufacturing Session. Data Analytics & Information Systems (DAIS) Division, Institute of Industrial and Systems Engineers (IISE).
Discussion Leader (2021), Emerging Trends in Data Mining and Decision Analytics: Deep Learning, Reinforcement Learning, and Beyond, DMDA Workshop, INFORMS Annual Meeting
Session Chair (2021), Multimodal Data Fusion for Healthcare Applications. Quality, Statistics & Reliability (QSR) Section. INFORMS Annual Meeting.
Session Chair (2021), Data Science for Complex Data in Healthcare. Data Mining (DM) Society. INFORMS Annual Meeting.
Session Chair (2020), Integrating Heterogeneous Data in Healthcare Applications. Quality, Statistics & Reliability (QSR) Section. INFORMS Annual Meeting.
Session Chair (2020), Data Analytics for Modeling and Prediction in Healthcare. Data Mining (DM) Society. INFORMS Annual Meeting.
Session Chair (2019), Data Science for Complex Data in Healthcare. Data Mining (DM) Society. INFORMS Annual Meeting.
Co-organizer (2018), INFORMS Annual Meeting Student Mixer.