Abstract: The goal of this project is to study the fundamental principles (dynamics and control) in using clinical magnetic techniques for accurately guiding agglomerations of magnetic nanoparticles in targeted drug delivery. The innovative technology component of this study is the dual use of the magnetic techniques as an imaging modality for both diagnostics and feedback control signal purposes and as a propulsion modality that generates the control forces to accurately guide agglomerations of magnetic nanoparticles.   

Abstract: We describe the process towards the design of a safe, reliable, and intuitive emergency treatment unit to facilitate a higher degree of safety and situational awareness for medical staff, leading to an increased level of patient care during an epidemic outbreak in an unprepared, underdeveloped, or disaster stricken area.

Abstract: Our overarching goal is to develop a framework for design automation of cyber-physical systems that augment human-in-the-loop inference and interaction by complex systems operating at the interface of computation and physical environment.

Abstract: Human motion-capture and computational analysis tools have played a significant role in a variety of  product-design  and  ergonomics  settings  for  over  a  quarter-century.  In  moving  beyond traditional kinematic (and its dual-static) settings, advances in biomechanics and multibody dynamics have led up to computational analysis tools that can provide significant insights into the functional performance.