CAREER: A Path Integral Methodology for Accurate and Computationally Efficient Stochastic Analysis of Diverse Dynamical Systems
Funded by the National Science Foundation (NSF), USA: 09/2018 - 08/2024
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
(collaborative project with Prof E. Miller and Prof R. Marshall, Division of Stroke and Cerebrovascular Disease, Dept. Neurology, Columbia University): 01/2018 - present
Funded by Columbia University - SEAS Interdisciplinary Research Seed (SIRS) Funding Program (collaborative project with Prof E. Konofagou, Dept. Biomedical Engineering, Columbia University): 01/2017 - 01/2018
The project aims at the development of compressive sampling 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.