To develop algorithmic design choices for AI/ML models, analyze their tradeoffs, and determine optimal choices for mapping AI applications to heterogeneous platforms (CPU+AI accelerators such as GPUs, and FPGAs).
To develop AI/ML models to extract novel insights in scientific and healthcare applications like include polymer recycling, molecular dynamics simulations, healthcare-patient matching, and Transmission Electron Microscopy (TEM) diffraction.
