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

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• Publications
• Work History
  Other Experience Professional Memberships Board Memberships
• Research
  Research Interests Contracts & Grants
• Teaching Interests
  MS Thesis Advised Undergrad Research Students Courses
• Presentations
  Conferences (invited) Conferences (organized)

Conferences Organized

• Discussion Leader (2021), Emerging Trends in Data Mining and Decision Analytics: Deep Learning, Reinforcement Learning, and Beyond, DMDA Workshop, INFORMS Annual Meeting
• Invited Reviewer (2021), DAIS Best Track Paper Competition, IISE Annual Conference & Expo
• Invited Judge (2020), Best Paper Competition (Theoretical Track), Workshop on Data Mining & Decision Analytics (DMDA), 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) Section. 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) Section. INFORMS Annual Meeting.
• Session Chair (2019), Data Science for Complex Data in Healthcare. Data Mining (DM) Section. INFORMS Annual Meeting.
• Co-organizer (2018), INFORMS Annual Meeting Student Mixer.