My research focus is multimodal deep learning for sequential data. I am also interested in Vision Language Models, Large Language Models, and their applications in sequential data such as videos, sensor data (time series) and text.
Awards
Jan 2025: Our Poster "Deep learning to quantify care manipulation activities in neonatal intensive care units" won an Award for Best Innovation in Neonatology at the Cleveland Clinic Children's SHINE (Syposium on Health Innovation and Neonatal Excellence) Conference, Orlando, FL.
Nov 2024: Our paper "RICA2: Rubric-Informed, Calibrated Assessment of Actions" won the Best Poster Award at NSF Poster Competition at Purdue University, West Lafayette, IN.
Automatically quantify care manipulation activities in neonatal intensive care units (NICUs), while integrating physiological
signal data to monitor neonatal stress in NICUs.