IEEE ASU ComSoc Keynote Speech Series
The IEEE ASU ComSoc Student Branch Chapter is dedicated to fostering an active community of students and researchers passionate about communications, networking, and emerging wireless technologies. Our mission is to create a dynamic environment for professional development, mentorship, and technical exchange. As a core part of this mission, we host a Keynote Speech Series featuring distinguished leaders whose work informs and inspires our members. These sessions are designed to bridge the gap between cutting-edge research and industry practice, providing our student community with direct access to the visionaries shaping the future of connectivity.
Date and Time
Location
Hosts
Registration
-
Add Event to Calendar
Loading virtual attendance info...
Speakers
Julia Hua Fang of Yeshiva University
Toward Federated Biomedical Digital Twins for Digital Trials
This talk will review advances in federated learning and biomedical digital twins for digital trials. These advances build naturally on two closely related topics: intelligent recognition of behavioral trajectory patterns and real-time machine learning. Together, these approaches have the potential to support scalable, privacy-preserving, and personalized digital health solutions. Federally funded projects will serve as use cases, showcasing newly developed AI algorithms, models, and web-based databases. The talk will also address the reproducibility of AI methods and the role of real-time learning within the broader context of digital health and the Internet of Medical Things, concluding with emerging trends, potential applications, and key challenges.
Biography:
Dr. Julia Hua Fang is a Professor and AI Program Director at Yeshiva University’s Katz School of Science and Health, where she leads the Computational eXtended Immersive Intelligence (CIXI) Lab. She is also an Adjunct Professor at UMass Chan Medical School. Her research advances AI and machine learning for digital health and digital trials, with a growing focus on biomedical digital twins. She holds a patent in trajectory pattern recognition and has maintained continuous U.S. federal research funding for over 15 years. Dr. Fang is an ASA member, IEEE Senior Member, and 2025–2026 IEEE ComSoc Distinguished Lecturer. She serves as an Area Editor for AI for IoT at the IEEE Internet of Things Journal, a member of the IEEE HEALTHCOM Steering Committee, and a reviewer for leading AI and machine learning conferences. She has also served on the Advisory Group of the IEEE Standards Association’s Healthcare and Life Sciences Practice Program, contributing to standards development for emerging AI and machine learning technologies.
