Faculty introduction

LIANG Zilu 梁 滋璐
  • Associate Professor
  • Department of Mechanical and Electrical Systems Engineering, Faculty of Engineering
Faculty Profile
Research Field

Ubiquitous computing、Human-computer interaction、Data science、Information processing

Affiliated Academic Societies

ACM、IEEE、INSTICC、New York Academy of Sciences、JSAI、 IPSJ、 IEICE、JSSR、 JSEE

Academic Degrees

PhD (Electrical Engineering and Information Systems)

Brief Biography

●　Visiting Researcher, University of Oxford, UK
●　Visiting Researcher, Imperial College London, UK
●　PostDoc, Graduate School of Computer and Information Science, University of Melbourne, Australia
●　PostDoc, Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology
●　Assistant Professor, Graduate School of Engineering, The University of Tokyo

Achievements and Awards

•Best Presentation Award, The 6th World Symposium on Software Engineering (WSSE 2024), 2024
•Best Paper Award, The 19th International Conference on Web Information Systems and Technologies (WEBIST 2023), 2023
•JSEE International Session Award, Japanese Society for Engineering Education, 2017
•Merit Award of Singapore Challenge: The Science of Future Cities, A*STAR Singapore, SG$5,000, 2015
•Young Researcher Award, IEICE Technical Committee on Information Management, 2015
•Japan Venture Capital Association Award, Japan University Venture Grand Prix, 2014
•Best Paper Award, The 18th International Conference on System Science, 2013
•Best Student Paper Award, The 18th International Conference on System Science, 2013
•Young Researcher Award, IEICE Technical Committee on Network Software, 2012
•Harashima Award, Electrical and Electronic Information Research Foundation of Japan, 2011

Media Coverage

　Yume Navi: "Medicine" That Is Not A Medicine – The Frontier of Digital Health https://douga.yumenavi.info/Lecture/PublishDetail/2024003632?back=
　IEEE FLAME Technical Challenge 2024
https://www.youtube.com/watch?v=TZnyvwg47pk&t=4s
　Sleep Game Co-Design Workshop
https://www.instagram.com/p/Cz-SCm0vcb2/?img_index=2
　Does My Smartwatch's Sleep Tracker Actually Do Anything?
https://gizmodo.com/does-my-smartwatchs-sleep-tracker-actually-do-anything-1838290221

Related Links

researchmap

Research Overview

Dr. Liang's research focuses on developing digital biomarkers and computational models for disease screening in free-living environments, using off-the-shelf wearable devices. She also works on advancing longitudinal data analysis techniques and interactive wearable technology to uncover personalized, actionable insights from self-tracking data for disease prevention. A passionate advocate of the Quantified Self movement, Dr. Liang is dedicated to harnessing technology to empower individuals in managing their health in everyday life.

List of Researches
Research Keywords

Mobile health, digital health, personal informatics, quantified-self, machine learning, interaction design (gamification, serious games), smartwatch apps, eye tracking, mobile app development, UI/UX, health-related applications (sleep, nutrition, blood glucose, etc.), health informatics, biomedical engineering

Academic Papers

 Liang Z, Melcer EF, Khotchasing K, Chen S, Hwang D, Hoang NH. (2024) The Role of Relevance in Shaping Perceptions of Sleep Hygiene Games Among University Students: Mixed Methods Study. JMIR Serious Games. Doi: 22/09/2024:64063. [SCI/Scopus/PubMed]
 Liang Z, Melcer E, Khotchasing K, Hoang NH. (2024) Co-design Personal Sleep Health Technology for and with University Students. Front. Digit. Health - Human Factors and Digital Health 6:1371808. Doi: 10.3389/fdgth.2024.1371808. [SCI/Scopus/PubMed]
 Liang Z. (2024) Developing Probabilistic Ensemble Machine Learning Models for Home-Based Sleep Apnea Screening using Overnight SpO2 Data at Varying Data Granularity. Sleep and Breathing. Doi: 10.1007/s11325-024-03141-x. [SCI/Scopus/PubMed]
 Liang Z. (2024) More Haste, Less Speed?: Relationship between Response Time and Response Accuracy in Gamified Online Quizzes in an Undergraduate Engineering Course. Front. Educ. - Higher Education, 9. Doi: 10.3389/feduc.2024.1412954. [SCI/Scopus]
 Liang Z. (2023) Novel method combining multiscale attention entropy of overnight blood oxygen level and machine learning for easy sleep apnea screening. Digital Health 9: 1-19. [PubMed/SCI/Scopus]
 Liang Z. (2022). Context-aware sleep health recommender systems (CASHRS): a narrative review. Electronics 2022, 11(20), 3384. Doi: 10.3390/electronics1120338. [SCI/Scopus]
 Liang Z. (2022). Mining associations between glycemic variability in awake-time and in-sleep among non-diabetic adults. Frontiers in Medical Technology (Section: Medtech Data Analytics). [PubMed/SCI/Scopus]
 Liang Z. (2021) What does sleeping brain tell about stress? A pilot fNIRS study into stress-related cortical hemodynamic features during sleep. Frontiers in Computer Science (Section: Mobile and Ubiquitous Computing) 3:774949. Doi: 10.3389/fcomp.2021.774949. [SCI /Scopus]
 Liang Z, Chapa-Martell MA. (2021) A multi-level classification approach for sleep stage prediction with processed data derived from consumer wearable activity trackers. Frontiers in Digital Health (Section: Health Informatics) 3:665946. Doi: 10.3389/fdgth.2021.665946. [PubMed /Scopus]
 Liang Z, Ploderer B. (2020) “How does Fitbit measure brainwaves”: a qualitative study into the credibility of sleep-tracking technologies. PACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) 4(1):Article 17. [SCI/Scopus]
 Liang Z, Chapa-Martell MA. (2019) Accuracy of Fitbit wristbands in measuring sleep stage transitions and the effect of user-specific factors. JMIR mHealth and uHealth 7(6):e13384, DOI:10.2196/13384. [PubMed/SCI/Scopus]
 Liang Z, Chapa-Martell MA. (2018) Validity of consumer activity wristbands and wearable EEG for measuring overall sleep parameters and sleep structure in free-living conditions. Journal of Healthcare Informatics Research 2 (1-2): 152-178. [PubMed/SCI/Scopus]
 Liang Z, Ploderer B, Liu W, Nagata Y, Bailey J, Kulik L, Li Y. (2016). SleepExplorer: A visualization tool to make sense of correlations between personal sleep data and contextual factors. Personal and Ubiquitous Computing 20(6): 985-1000. [SCI/Scopus]

Faculty Search