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177 Faculty & Staff found

  • Smart and resilient infrastructure; advanced sensing, big data analytics, machine learning, uncertainty quantification and inverse computational mechanics, for structural health monitoring and resilience assessment; physics-informed AI for engineering applications
  • Magnetic, ferroelectric and magnetoelectric materials; RF/microwave magnetic and magnetoelectric devices design, fabrication and testing; materials properties at RF/microwave frequency; range self-assembly of magnetic nanostructures
  • Robust Control; Reduced Order Models; video-based control; applications to dynamics in Imaging and video processing; information extraction from high volume data streams
  • Sensor Devices and Smart Sensor Systems realized through interdisciplinary field of microelectromechanical systems (MEMS); including the design, optimization, fabrication, testing, and networking of such transducers; fabrication of novel micro and nano-sensors and actuators by integrating non-traditional materials using silicon planar microfabrication techniques and exploring phenomenon at the micro-nano interfaces; development of sustainable sensing solutions for biomedical applications including investigation of robust magnetic technologies for interfacing to the brain
  • Control systems; dynamical systems; low order modeling and estimation in complex systems; medical imaging
  • Experimental and numerical research in gas turbine cooling technology, solar and wind energy, non-newtonian liquid droplet interactions with hydrophobic surfaces, nano-sensors
  • Sustainable and resilient systems; machine learning and big data analytics; high performance data-intensive computing for inter-disciplinary domains
  • Risk assessment; construction cost/schedule uncertainty; project delivery systems; simulation; construction productivity
  • Computational techniques that span multiple scales, atomic- to continuum, to quantify the structure property relations in established and emerging material systems, both in technology and nature.
  • Solid Mechanics, materials, computational methods, biomechanics, nanotechnology
  • Condition assessment methodologies for infrastructure systems; life cycle and life span analysis; structural and earthquake engineering uncertainty
  • Cellular biomechanics; water filtration; thin film adhesion and characterization; subsurface mechano-sensing; shell adhesion; fundamental intersurface forces
  • Network-wide pavement and bridge deck inspections: sensor technology for infrastructure; saliva-based sensor technology for disease diagnosis and monitoring; structural health monitoring for bridges; subsurface fault detection using air-coupled GPR systems
  • Urban and social resilience; geo-social networking; coupled, human-natural systems, natural disaster response and evacuation; urban computing
  • Energy-efficient and high-performance implementations of deep learning and artificial intelligence systems; neuromorphic computing and non-von Neumann computing paradigms; cyber-security in deep learning systems; emerging deep learning algorithms/systems such as Bayesian neural networks, generative adversarial networks (GANs) and deep reinforcement learning
  • design, synthesis, and evaluation of nanomaterials for various medical applications, including self-assembled chemistries, nanoparticles, nanotubes, and nanostructured surfaces
  • Development of detailed microkinetic models for complex reacting systems. Automating the discovery and calculation of reaction pathways.
  • Human-safe robots, medical robotics, soft robotics and soft material manufacturing, MEMS, microrobotics, bio-inspired design, flapping aerodynamics and insect flight
  • Process safety and catalysis (industrial)
  • Metabolic engineering and synthetic biology for sustainable biochemical production and human health.
  • interpretable AI, computer simulation, data analytics, data-driven stochastic optimization for end-to-end cyber-physical-system risk management with applications: pharmaceutical supply chains, smart power grids with renewable energy, healthcare, semiconductor manufacturing, transportation infrastructure, and metal additive manufacturing
  • Geotechnical earthquake engineering; soil dynamics; geosynthetics; seismic response of landfills; base isolation; liquefaction; bridge engineering; use of shaking table in earthquake engineering
  • Data-centric network architectures, fog/edge computing, resilient network infrastructures, network science, network information theory and coding, cross-layer control and optimization of wireless networks, network economics.
  • Mechanics; personalized medicine; simulation techniques and complex networks analysis