Sang Won Bae

School: School of Systems & Enterprises
  • Postdoc, School of Computer Science, Human-Computer Interaction Institute, Carneige Mellon University
  • Ph.D., Cognitive Science and Engineering, Human-Computer Interaction, Yonsei University
  • M.S., School of Information Science, Ewha Womans University
  • B.S., Electronics Engineering, Myongji University
  • Predicting Human Behaviors to Enhance Quality of Healthcare Service and to Save Costs: Predicting Hospital Readmissions for Cancer Patients and Estimation of Symptom Severity During Chemotherapy
  • Sensing Risky Behaviors and Developing Detection Algorithms Using Smartphone-based Sensors, Machine Learning and Experience Sampling Methods (ESM) in Real-World Contexts
  • Developing Integrated Health 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 the Human-Computer Interaction Institute. 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

Serves as the SSE Representative to the University Graduate Curriculum Committee (2019-)

Honors & Awards
  • Best Paper Selected for the 2019 Edition of the IMIA Yearbook, Section Cancer Informatics, 2019
  • IBM Watson AI XPRIZE Round III, Selected 10 Milestone Nominees, 2018
  • LATTICE Symposium Selected Top 30 Pre-tenure Track Women Scientists in EECS, USA, 2017
  • Sejong Academic Book Award, The Korea Creative Content Agency, 2016
  • Best Student Award, The National Research Scholarship, 2012
  • Best Student Award, The National Research Scholarship, 2011
  • Seoul City Scholarship, 2010
  • Systems Scientist, Carnegie Mellon University, Pittsburgh, PA (2017 - 2019)
  • Postdoctoral Fellow, Carnegie Mellon University, Pittsburgh, PA (2014 - 2017)
  • Visiting Scholar, Carnegie Mellon University, Pittsburgh, PA (2013 - 2014)
  • Research Scientist, Yonsei Center for Cognitive Science, Seoul, South Korea (2010 - 2013)
  • Senior Researcher, Samsung Electronics, Seoul, South Korea (2005 - 2008)
  • Data Analyst, SK Corporation , Seoul, South Korea (2000 - 2005)


Professional Societies
  • ACM SIGCHI Special Interest Group Computer Human Interaction (CHI)
  • Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)
  • International Symposium on Wearable Computers (ISWC)
  • Journal of Medical Internet Research (JMIR)
  • Scientific Reports of Nature Research


Grants, Contracts & 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 & Inventions

Apparatus and Method for Supporting Multimedia Service in Mobile Terminal : patent application publication

Selected Publications
  1. Bae S, Chung T, Ferreira D, Dey AK, Suffoletto B. (Aug 1, 2018). "Mobile Phone Sensors and Supervised Machine Learning to Identify Alcohol Use Events in Young Adults: Implications for Just-In-Time Adaptive Interventions", Rachel L. Tomko, Erin A. McClure, Addictive behaviors, Elsevier. 83 42-47.  link  .
  2. Bae S, Ferreira D, Suffoletto B, Puyana J, Kurtz R, Chung T, Dey A. (Jun 30, 2017). "Detecting Drinking Episodes in Young Adults Using Smartphone-based Sensors", Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, ACM. 1 (2), 1-36.  link  .
  3. Chung T, Bae S, Mun E, Suffoletto B, Nishiyama Y, Jang S, Dey A. (Mar 10, 2020). "Mobile Assessment of Acute Effects of Marijuana on Cognitive Functioning in Young Adults: Observational Study", JMIR mHealth and uHealth, JMIR Publications Inc. 8 (3),  link  .
  4. CA Low, AK Dey, D Ferreira, T Kamarck, W Sun, S Bae, A Doryab. (Dec 19, 2017). "Estimation of Symptom Severity During Chemotherapy From Passively Sensed Data: Exploratory Study", G Eysenbach, Journal of Medical Internet Research., JMIR Publications Inc. 19 (12),  link  .
Conference Proceedings
  1. Bae S, Dey A, Low C. (Sep 12, 2016). "Using Passively Collected Sedentary Behavior to Predict Hospital Readmission", Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. ACM. 616-621.  link  .
  • EM 680 Designing and Managing the Development Enterprise
  • SYS 800 Special Problems in Systems Engineering (ME)
  • EM 622 Decision Making via Data Analysis Techniques
  • EM 224 Informatics and Software Development
  • SYS 622 Decision Making Via Data Analysis Techniques