I am a fourth year Ph.D. student in the ECE department at the University of Illinois, Urbana Champaign (UIUC), advised by Prof. Minh N. Do.
I am studying how multiple sensing modalities can integrate into an AI model (multimodal learning) and how such a model can be applied to multiple tasks (generalization).
I believe multimodal generalizable models are crucial for the future of AI due to their ability to abstract to different tasks and domains, similar to the multisensory abilities of human intelligence.
I am currently working with wearable sensor data, focusing on the challenges of interpreting continuous, real-time data to understand human motion and behavior.
I have had various graduate level internships, at companies such as NVIDIA, Netradyne and Google.
Updates:
5/12/2025: Starting Internship at Google, Mountain View, CA 5/7/2025: On Achieving Perfect Multimodal Alignment paper accepted to Viscon: Second Workshop on Visual Concepts at CVPR 2025, Nashville 4/30/2025: Passed PhD Preliminary Examination 10/10/2024: C3T: Cross-modal Transfer Through Time for Unsupervised Modality Adaptation in Human Action Recognition paper accepted to UniReps: 2nd Edition of the Workshop on Unifying Representations in Neural Models at Neurips 2024, Vancouver 10/09/2024: Served as a reviewer for various venues, including
IEEE Transactions on Circuits and Systems for Video Technology Journal, Unifying Representations 2024 Neurips Workshop, Machine Learning and Compression 2024 Neurips Workshop, Safe Generative AI 2024 Neurips Workshop, and ICLR 2024
05/14/2024: Deposited Masters Thesis: A survey of IMU based cross-modal transfer learning in human activity recognition 05/30/2023: Completed Ph.D. Qualifying examination in the ECE department at the University of Illinois, Urbana Champaign 05/15/2023: Awarded National Science Foundation Graduate Research Fellowship 08/30/2022: Examining Audio Communication Mechanisms for Supervising Fleets of Agricultural Robots published and presented at IEEE ROMAN 2022, Naples Italy
