The National Center for Supercomputing Applications has named 12 new fellows for the 2022-23 academic school year. The NCSA Fellowship program is a competitive program for faculty and researchers at the University of Illinois Urbana-Champaign, which provides seed funding for new collaborations that include NCSA staff as integral contributors to the project.
Illinois Computer Science professor Yuxiong Wang was named one of the 12 new fellows for this academic school year. Wang's research interests focus on computer vision, machine learning, and robotics. Specifically, his research delves into reducing the need for human supervision in machine learning. By using computer vision and robotics tasks as illustrative applications, he has developed meta-learning algorithms that enable learning systems to generalize previous experiences to unseen environments and tasks with as little data as possible.
Here are project details for his upcoming work as an NCSA fellow:
Early Detection and Prediction of Parkinsonism Powered by Multi-Modal Few-Shot Learning
NCSA Fellows: Yuxiong Wang (Computer Science), Christopher M. Zallek (OSF) and George Heintz (Health Care Engineering Systems Center)
NCSA Collaborator: Volodymyr Kindratenko
About the Project: Neurological disorders are among the most frequent causes of morbidity and mortality in the US, the most common being Parkinson’s and Alzheimer’s. The insidious and heterogeneous onset of neurodegenerative diseases challenges the abilities of the primary care systems to appropriately diagnose and manage these diseases. A data-efficient AI is urgently needed for healthcare and its patients. The team proposes an AI supported system that leverages various examination modalities and tracks complementary symptoms of neurological patients and reports findings to the neurologists and will focus on discriminating several indicators that are associated with Parkinsonism.
Read the original story from NCSA.