Invited talk by Prof. Hoang Pham, titled "The Wellbeing-Health AI Framework for Intelligent Stress Monitoring"

#Artificial-intelligence #Wellbeing-Health
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Salient features of the talk

•Stress & Wellbeing: Examine the impact of stress on health and overall well-being.
•AI Framework: Introduce an AI framework integrating mathematical models and sentiment analysis.
•Early Detection: Enable early stress detection and wellness assessment for timely intervention.


  Date and Time

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  • QINGSHUIHE CAMPUS. UESTC
  • Chengdu, Sichuan
  • China
  • Building: MAIN BUILDING
  • Room Number: C1-213
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  • Starts 08 July 2026 02:00 AM UTC
  • Ends 09 July 2026 02:00 AM UTC
  • No Admission Charge

  Speakers

Hoang Pham

Topic:

The Wellbeing-Health AI Framework for Intelligent Stress Monitoring

Stress is a common part of modern life; however, unmanaged stress can weaken the immune system, increase the risk of illness, and reduce overall well-being. Prolonged stress may also lead to more frequent illness and slower recovery, making effective stress management essential for maintaining good health. This talk presents a proposed Wellbeing-Health AI Framework that integrates mathematical models and sentiment analysis to enable early stress detection and wellness assessment. The framework analyzes emotions, lifestyle, and health-related data to identify potential risks and provide timely alerts for early intervention.

Biography:

Hoang Pham is a Distinguished Professor at Rutgers University. He is the Editor-in-Chief of the International Journal of Reliability, Quality and Safety Engineering and Editor of the Springer Book Series in Reliability Engineering. Dr. Pham is the author or coauthor of 7 books and has published over 220 journal articles, 100 conference papers, and edited 20 books including Springer Handbook of Engineering Statistics (2nd ed., 2023) and Handbook in Reliability Engineering. His numerous awards include the 2009 IEEE Reliability Society Engineer of the Year Award. He is a Life Fellow of IEEE and Fellow of IISE.