Year
2019-2020
Research Description
Self-assembly pathways in colloidal and nano-scale materials, photonic materials, efficient algorithms for analyzing particle systems.
Year
2019-2020
Research Description
The effects of disruption of synaptic signaling on neuronal networks.
Year
2019-2020
Research Description
Computational methods to understand the underlying perturbations to potential energy surfaces of mechanochemical reactions.
Year
2019-2020
Research Description
Applying machine learning and computer vision techniques to investigate the evolution of trait plasticity in plants.
Year
2019-2020
Research Description
Inverse problems in mathematical epidemiology, particularly focus will be on using computational and mathematical methods to gain useful insights into public health problems.