Revolutionizing healthcare through secure AI collaboration
The integration of AI and telehealth revolutionizes healthcare by enhancing diagnostic accuracy, treatment planning, and patient outcomes. Our solution leverages federated learning with ECG signal analysis to enable secure collaboration between health centers while maintaining patient data privacy.
Project Sponsor
Professor Tuy Nguyen is currently an Assistant Professor at the School of Informatics, Computing, and Cyber Systems at Northern Arizona University. Previously, he held positions at Inha University and worked as a Senior Research Engineer at Conextt Inc.
Project Manager
Computer engineering student at Northern Arizona University focusing on machine learning and image processing. Experienced in Python, R, C, Javascript, Verilog, and Assembly.
Team Treasurer
Computer engineering student specializing in FPGA projects and machine learning applications. Proficient in Python, Golang, C, Java, and Verilog.
Project Secretary
Senior at Northern Arizona University pursuing a bachelor's degree in computer engineering. Passionate about sports, particularly soccer, and brings diverse cultural perspective to the team.
Consultant
Experienced consultant providing valuable insights and guidance to the project team. Specializes in healthcare technology integration and security protocols.
Advanced encryption technology that allows computations on encrypted data, ensuring privacy while maintaining functionality.
State-of-the-art machine learning models specialized in ECG signal analysis, enabling precise cardiac diagnosis and monitoring.
Large healthcare facilities seeking secure data collaboration
Private practices looking to enhance diagnostic capabilities
Organizations conducting healthcare research and development
Model Development
Developing and training AI models for secure healthcare data analysis