PhD Student Directory: A to P
My research explores applications of sequential decision making, reinforcement learning, and optimization methods to contemporary energy-transportation problems, including electric fleet design, route planning, and equitable ridepooling.
Atmospheric Modeling, Aerosol Indirect Effects, Fog Microphysics, Visibility, Dust
Multimodal transportation network modeling to measure the accessibility of essential services across different communities and inform improvements in mobility services
I study deep space habitats design for NASA human exploration missions. My current focus is on quantifying uncertainties when integrating computational models.
My research is about the mechanics of sea ice and developing continuum models for sea ice rheology.
My research focuses on improving the performance of glacier evolution models through enhanced calibration techniques and high-resolution spatial and climate datasets based on remote sensing and statistical tools.
My research focuses on solving physical problems, especially quantum mechanics using machine learning and dimension reduction methods.
(i) Nanoscale fluid flow and heat transfer physics. (ii) Uncertainty quantification for transport phenomena in molecular simulations. (iii) Machine learning and nanoscale physics
My research involves assessing climate risk to drinking water utilities, including quantifying changes to distribution infrastructure reliability, analyzing effects on operations and finances, and developing general climate adaptation strategies.
My research examines the factors controlling the adsorption of perfluorinated compounds to colloidal activated carbon for use in groundwater remediation.
My research interests include building energy management, digital twins, semantic modeling, AI-driven predictive maintenance, and human behavior modeling for energy consumption.
I study the development of engineered nanomaterials as carriers for agrochemicals as well as the factors that drive plant-nanoparticle interactions.