Compressive Sampling for Uncertainty Modeling and Quantification of Dynamical Systems Subject to Highly Limited/Incomplete Data
Funded by the National Science Foundation (NSF), USA: 09/2017 - 08/2020
Funded by Columbia University - SEAS Interdisciplinary Research Seed (SIRS) Funding Program (collaborative project with Prof Elisa Konofagou): 01/2017 - 12/2017
The project aims at the development of compressive sensing techniques that can be integrated into medical imaging systems for real-time elasticity imaging of carotid plaques and thereby the timely prevention of ischemic stroke based on their stiffness and thus stability.
Funded by the Office of the Provost (Columbia University) - Hybrid Learning Course Redesign and Delivery Funding Program: 05/2016 - 08/2017
“A Flipped Classroom approach to the courses “ENME 3105: Mechanics, CIEN 3111/4111: Uncertainty and Risk in Civil Infrastructure Systems, and ENME 6220: Random Processes in Mechanics” by utilizing a web-based interactive tool.