Cellular biomechanics; water filtration; thin film adhesion and characterization; subsurface mechano-sensing; shell adhesion; fundamental intersurface forces
Wang laboratory integrates synthetic biology, tissue engineering, and microfluidics to investigate the design principles underlying cell state transitions, establish human physiological and pathological models using hiPSCs, and develop next-generation therapeutics for previously intractable diseases.
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
Cellular and molecular mechanobiology, mechanomedicine, and mechanohealth; cancer cell biology and mechanics; stem cell biology and mechanics; mechanomemory and mechanoresilience, mechanobiotechnologies and their applications to cells, tissues, and organisms
Real-time and energy-efficient deep learning and artificial intelligence systems, model compression of deep neural networks (DNNs), neuromorphic computing and non-von Neumann computing paradigms
Our group investigates biomolecules at the single-molecule level. We develop nanopore-based and other nanotechnology-based methods for probing the structure and dynamic behavior of biomolecules. We employ optical waveguides and single-molecule enzymatic approaches for RNA sequencing, and utilize engineered nanopore sensors for applications in single-molecule proteomics. We are experimentalists, but we also use advanced computational tools to perform big data analysis.
Development of detailed microkinetic models for complex reacting systems; automating the discovery and calculation of reaction pathways; heterogeneous catalysis
dynamics of large-scale molecular machines, working to identify the physical principles that guide biomolecular dynamics, using molecular simulation approaches to interpret experimental data from a wide range of techniques, including biochemical, small-angle X-ray scattering and cryogenic electron microscopy
Human-safe robots, medical robotics, soft robotics and soft material manufacturing, MEMS, microrobotics, bio-inspired design, flapping aerodynamics and insect flight
Computational modeling of the cardiac myocyte to understand the molecular basis of arrhythmias; machine learning in critical care medicine to identify those patients who require urgent care