Sang Won Bae

Assistant Professor

School: School of Systems and Enterprises

Phone: (201) 2165687

Email: sbae4@stevens.edu

Website

Research

Predicting Human Behaviors to Enhance Quality of Healthcare Service and to Save Costs: Predicting Hospital Readmissions for Cancer Patients [UbiComp, 16] and Estimation of Symptom Severity During Chemotherapy [JMIR, 17]

Sensing Risky Behaviors [UbiComp, 17; Addictive Behavior, 18] and Developing Detection Algorithms Using Smartphone-based Sensors and Experience Sampling Methods (ESM) in the Wild

Developing Human-Centered AI Empowered Systems of Interventions for Human Behavior Changes

General Information

Sang Won (Grace) Bae is an assistant professor at the School of Systems and Enterprises. She joined SSE from Carnegie Mellon University, where she was a systems scientist in human-computer interaction. Dr. Bae's research interests are focused on using passive data from smartphones and wearable devices to develop predictive models of human behavior that could reduce healthcare costs. She has received grants and awards from several foundations, including the R21 grant from the National Institutes of Health, the National Research Foundation of Korea and the Korea Institute of Science and Technology in South Korea.

Institutional Service
  • The university graduate curriculum committee Member
Honors and Awards

Best Poster Award, Human-Centered AI System, Google Tri-State ExploreCSR Research, 2021
Best Paper Selected for the 2019 Edition of the IMIA Yearbook, Section Cancer Informatics, 2019
IBM Watson AI XPRIZE Round III, AI Healthcare System, Selected 10 Milestone Nominees, 2018
LATTICE Symposium Selected Top 30 Pre-tenure Track Women Scientists in EECS, USA, 2017

Professional Societies
  • ACM – Association for Computing Machinery Member
Grants, Contracts, and Funds

National Institute on Drug Abuse (NIDA) R43 Grant, Small Business Innovation Research (SBIR), 2018
National Science Foundation (NSF), Innovation Corps (I-Corp) Site @CMU Team, 2018
National Institutes of Health (NIH) R21 Grant, 2017

Patents and Inventions

Apparatus and Method for Supporting Multimedia Service in Mobile Terminal

Selected Publications
Journal Article
  1. Chung, T.; Bae, S.; Mun, E.; Suffoletto, B.; Nishiyama, Y.; Jang, S.; Dey, A. K. (2020). Mobile Assessment of Acute Effects of Marijuana on Cognitive Functioning in Young Adults: Observational Study. JMIR Mhealth Uhealth (3 ed., vol. 8, pp. e16240).
    http://www.ncbi.nlm.nih.gov/pubmed/32154789.
Courses

EM 224: Informatics and Software Development
EM 622: Decision Making via Data Analysis Techniques
EM 680: Designing and Managing the Development Enterprise
SYS 515: Systems Engineering Applications to Healthcare
SYS 800: Special Problems in Systems Engineering