Universal Village (UV) is a new concept proposed by MIT’s Universal Village Program which exemplifies an ideal future society that pursues harmony between humans and nature through the wise use of advanced technology. The 8th IEEE International Conference on Universal Village (IEEE UV2026) will be held virtually and locally from October 17-20, 2026. IEEE UV2026 features the theme of “Human-Centered AI Transformation for Future Empowerment: Explainable & Human-Intelligible Understanding, Intent-Aware Reasoning & Accountable Decision-Making, Human-Authorized AI Action, and Human-Supervised Reflective Learning.”

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Session 8-A: Advanced devices/systems for healthcare monitoring

It is time to register!  

Registration

Monday, October 26 | 8:30 pm – 12:00 am (U.S. Eastern Time)

Session 8-A: Advanced devices/systems for healthcare monitoring
Dr. Lin Zhang
Session Chair

Research Scientist in Media Lab at Massachusetts Institute of Technology (MIT)

Session 8-A: Advanced devices/systems for healthcare monitoring
Dr. Soumyajit Mandal
Keynote Speaker

Senior Member, IEEE
Associate Professor with the Department of Electrical and Computer Engineering at University of Florida.

Session 8-A: Advanced devices/systems for healthcare monitoring
Dr. Kailiang Ren
Keynote Speaker

Professor at the University of Chinese Academy of Sciences.

Session 8-A: Advanced devices/systems for healthcare monitoring
Dr. Yang Yang
Keynote Speaker

Assistant Professor with the Department of Mechanical Engineering, San Diego State University.

Session 8-A: Advanced devices/systems for healthcare monitoring
Dr. Viksit Kumar
Keynote Speaker

Instructor in Investigation at Massachusetts General Hospital and Harvard University.

Topics: 

  • From advanced functional materials to intelligent devices
  • Flexible, stretchable, printed, and hybrid electronics
  • Wearable devices and AI assisted technology for medical diagnostics and screening

Overview:

Advanced devices/systems with wearable technologies have been investigated intensively from both academic and industry because they can achieve real-time monitoring, intervention and prediction functions in the field of personal health management. By monitoring physiological parameters along with other symptoms, wearable sensors detect abnormal and/or unexpected circumstances, especially using piezoelectric sensors/transducers technology for medical diagnostics deep issue screening. In this session, the latest reported work on integrated electronics with functional materials, advanced fabircations, smart devices, and intelligent systems for healthcare monitoring will be introduced by four invited speakers. The challenges and future vision of this topic will be also discussed.