Dynamic Systems Faculty

Mechanics & Materials Faculty

Thermofluid Transport Faculty

  • Ertan Agar
    Associate Professor

    Electrochemical energy conversion and storage, mass/charge transport phenomena, electrochemical reaction kinetics, flowable slurry electrodes.

  • Fuqiang Liu
    Associate Professor, Associate Chair for Master’s Studies

    Electrochemical energy generation and storage, Solar energy conversion through photo-electrochemical reactions, Ion-conductive membranes for electrochemical systems, Nanostructured materials, CFD simulation of energy conversion devices

  • John Mack, Ph.D.
    Associate Professor

    Combustion, Biofuels, Internal Combustion Engines, Machine Learning, Energy Resilience, Propulsion

  • John McKelliget
    Professor Emeritus

    Computational Fluid Dynamics, Thermal Plasma Processing

  • Juan Trelles, Ph.D.
    Professor

    Sustainable Energy Engineering; Plasma Science & Engineering; Computational Transport Phenomena

  • David Willis
    Associate Chair for Undergraduate Studies

    Aerodynamics, Computational Fluid Dynamics

  • Jasmina Burek
    Assistant Professor, CWW Associate

    Applying engineering and decision-making models to find solutions to climate change and environmental problems, energy and process modeling, multi-objective optimization, sustainability, system modeling and optimization for energy resilience, life cycle assessment (LCA), techno-economic analysis (TEA), climate smart housing, food insecurity in the cold supply chain, and handprint assessment.

  • Majid Charmchi
    Professor Emeritus

    Heat and Mass Transfer, Computational Fluid Dynamics

  • Jan Kosny, Ph.D.
    Research Professor, Director - Building Energy Efficiency and Temperature Control Materials Laboratory, Co-Director - Photovoltaic Prototyping and Testing Laboratory
  • Noah Van Dam
    Assistant Professor

    Multi-phase/reacting flows, Combustion, Computational Fluid Dynamics (CFD), Lagrangian-Eulerian methods, Verification, validation, uncertainty quantification (VVUQ), Machine learning, Internal combustion engines, Energy conversion devices