Research Interests

  • Operations Research and Applied ML/AI
  • Transportation/Logistics/Supply Chain
  • Data-driven Transportation Services (digital twins, delivery robots, drones, connected and automated vehicles, etc.)
  • MET Education
  • Teaching with Technology
  • Project Lead The Way
  • Crowdsourcing
  • Human-AI Collaboration
  • Sensemaking
  • Urban resilience
  • Urban sustainability
  • Urban informatics
  • Safety Management Systems (SMS)
  • System Safety and tool applications
  • Risk Management in Aviation Systems
  • Safety performance and practical strategies
  • Energy - Production, Renewable
  • Materials - All Aspects
  • Engineering Techology Education
  • Design of Hydraulic Systems
  • Pressure Measurements
  • Electro Hydraulic and Electro Pneumatic Control
  • Identify how computational model-based reasoning can effectively support scientific inquiry learning, problem-solving, and innovation processes in the context of authentic modeling and simulation practices.
  • Identify how embodied-based learning can enable students to attain, retain, and apply threshold concepts in STEM by integrating visual and haptic modalities.
  • Identify how students develop computer and data science self-regulated learning skills enabled via a computational cognitive apprenticeship.
  • Identify the role of sociology in computing learning within the context of technology-enabled environments.
  • Integrating computational, scientific, and engineering thinking into K-12 education
  • Leverage the affordances of learning analytics and AI to support student learning in computing-intensive domains.
  • Additive Manufacturing
  • Smart Manufacturing
  • Airport sustainability, Women in Aviation, Transportation Policy

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