News

[March] Our papers: "Personalized Wellbeing Prediction using Behavioral, Physiological and Weather Data" and "Improving Students' Daily Life Stress Forecasting using LSTM Neural Networks" are accepted to present at IEEE-EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL AND HEALTH INFORMATICS (BHI’19)

[March] 2019 Society of Affective Science annual conference for Method session "Mobile and ubiquitous emotion sensing"

[January] Do Workplace Wellness Programs Really Work?, MIT Sloan Management Review, 1/2019

[Dec] MD2K webinar on Dec 6 "Human Sensing and Data analysis/modeling for Health, Wellbeing and Performance"

[Nov] NSF Press Release NSF announces awards to shape the human-technology partnership for the well-being of workers and their productivity

Rice Press Release Enhancing cognitive abilities for healthier work

Nature News Article about our research Happy with a 20% chance of sadness

[Oct] Rice Data Science Conference

[Sept] New paper: Multimodal Ambulatory Sleep Detection Using LSTM Recurrent Neural Networks was published in IEEE Journal of Biomedical Health Informatics (IEEE JBHI).

[August] Artificial Intelligence is Real (and Now), The App Association

Very excited to receive a NSF grant "Future of Work at the Human-Technology Frontier: Advancing Cognitive and Physical Capabilities".

We develop "an Embodied Intelligent Cognitive Assistant to Enhance Cognitive Performance of Shift Workers" and people with social jetlag as well as their wellbeing.

This is a 3-year collaborative project with UMass Amherst, Cornell University, Harvard Medical School, Baylor College of Medicine and Microsoft Research.

Co-organized Workshops: Modeling Cognitive Processes from Multimodal Data at ICMI 2018 in Denver and Mental Health: Sensing & Intervention at Ubicomp 2018 in Singapore

[July] Presentation at IEEE EMBC 2018 Minisymposia "Sensor-based behavioral informatics: advances in understanding of human behavior"in Hawaii.

[June] Presentation at Gordon Research Seminar: Advanced Health Informatics, Emerging Perspectives in Health Informatics from Wearable Sensing to Big Data in Hong Kong

Presentation at NIH 2018 mHealth Technology Showcase

[April] Our paper about SNAPSHOT study and machine learning models to detect stress and mental health conditions and identify underlying related physiological and modifiable behavioral markers will be published at Journal of Medical Internet Research

[February] Our paper about N=1 experiment platform was published in Sensors: the Special Issue "QuantifyMe: An Open-Source Automated Single-Case Experimental Design Platform"