Kai Malcolm successfully defended his MS thesis, “A Federated Learning Framework for Personalized and Privacy-Preserving Biosignal Interfaces”. Congratulations!
Kai Malcolm Defends Master’s Thesis
Author Archives: lp57
Yamagami Lab Presents at Body Sensor Networks
Dr. Yamagami presented her work on “Optimizing human-machine interfaces for health and accessibility” at the IEEE-BSN Conference in Chicago. Mikayla Deehring was also present at the conference. Great job!
Mikayla Deehring presents at the 2024 AI in Health Conference at Rice University
Graduate student Mikayla Deehring gave a poster presentation on “Predicting Adherence to At-Home Rehabilitation Using Biosignals”. Great job Mikayla!
Kai Malcolm presents posters in the AI in Healthcare Conference and the Texas Colloquium on Distributed Learning
The Yamagami lab participated in the October 2023 AI in Healthcare Conference [https://events.rice.edu/event/347482-2023-ai-in-health-conference] as well as the September 2023 Texas Colloquium on Distributed Learning [https://sites.google.com/view/tldr2023], both hosted by the Ken Kennedy Institute at Rice University. Kai Malcolm presented his recent work as a poster at both venues: Protecting Sensitive Biosignal Data in Model Training: Federated Learning for Healthcare Applications. Great job Kai!