Interdisciplinary opportunities

Interdisciplinary honors research opportunities.

• A functional modeling approach for the conceptual design of AI/ML-based cyber-physical products

  Chris McComb

• Artificial intelligence for deep space habitats

  Artur Dubrawski

• Automated machine learning

  Artur Dubrawski

• Discovering complex counterfactual phenotypes in the presence of inconclusive outcomes

  Artur Dubrawski

• Human-centric incorporation of domain knowledge for predictive maintenance (PMx)

  Artur Dubrawski

• Identification of organic contaminants in onsite wastewater and/or development of analytical methods to quantify organic contaminants of concern in onsite wastewater

  Carrie McDonough

• Intelligent summarization of data

  Artur Dubrawski

• Interdisciplinary design teams for Biomedical Engineering Design

  Conrad Zapanta

• Mobility data analytics

  Sean Qian

• Monte Carlo methods for materials modeling

  Kaushik Dayal

• Numerical modeling of glacial crevassing

  Kaushik Dayal

  David Rounce

• Ongoing assessment of models and data

  Artur Dubrawski

• RoboTRAC

  Artur Dubrawski

• Survival analysis

  Artur Dubrawski

• Weak supervision for AI in clinical contexts

  Artur Dubrawski