Junior Associate Professor
Department of Mechanical and Electrical Engineering
Kyoto University of Advanced Science
My Labs is committed to working on projects that support the United Nations (UN) Sustainable Development Goals
Research areas: pervasive computing, wearable computing, personal informatics, digital health (sleep, stress, circadian rhythm)
WHO AM I ?
I received my MS and PhD in Electrical Engineering and Information Systems from the University of Tokyo in 2011 and 2015 respectively. I pursued exchange studies at the University of Oxford in 2010 and at the Imperial College London (with Prof John Polak) in 2012. In 2015 I was selected as a recipient of the Australian Government Endeavor Research Fellowship which sponsored my postdoctoral research at the University of Melbourne (with Prof James Bailey, Prof Lars Kulik and Dr Bernd Ploderer). During 2016-2019 I was an assistant professor at the Graduate School of Engineering of the University of Tokyo, where I was heavily involved in implementing several initiatives of internationalizing engineering education. I'm a member of a number of research associations and I received several awards for my research achievements.
I'm an avid supporter of the Quantified Self movement. I combine a wide variety of sensing, computing, and data mining techniques to tackle the challenges surrounding data collection, data analysis, and human-computer interaction in Quantified Self, with a strong focus on health and wellbeing. My research projects have been sponsored by JSPS and AMED. I have close collaborations with the Queensland University of Technology in Australia. I'm looking forward to involving highly-motivated students in several exciting on-going research projects.
Growing up in a family of teachers, I have a natural passion for teaching. I received faculty development training on teaching and mentorship in the University of Melbourne. My teaching style builds on validated educational theories. I seek to further explore the mechanisms that underlie interpersonal differences in effective learning and teaching based on brain science and data mining. Since 2018, I've been serving as a program committee member and a reviewer for top notch international conferences on engineering and computing education, including the ACM Global Computing Education Conference (CompEd), the ACM Technical Symposium on Computing Science Education (SIGCSE) and the IEEE Conference on Engineering, Technology and Education (TALE). I'm a member of the Japanese Society for Engineering Education (JSEE), the Japanese Society for Educational Technology (JSET), and the Japanese Society for Information and Systems in Education (JSISE).
I treasure physical strength and self-discipline. When I'm not researching or teaching, you can find me doing Taekwondo (Mivlo Kyoto) or hot yoga (Zen Place Hot Yoga). In the past I used to play basketball often and have trained Taichi, Chinese martial art and Shotokan Karate.
[Journal] 8 Jan 2020. ACM IMWUT
[Conference] 14 Sep 2020. The 2020 ACM Intl Joint Conf on Pervasive and Ubiquitous Comput (UbiComp) @ Cancun, Mexico
Our following full paper will be published in PACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), a top journal in computing technology. I will also give an oral presentation of this paper in UbiComp 2020.
Liang Z, Ploderer B. (2020) “How does Fitbit measure brainwaves”: a qualitative study into the credibility of sleep-tracking technologies.
[Program Committee] 21 March 2020. The 8th IEEE International Conference on Healthcare Informatics
I was invited to join the program committee of ICHI 2020 Poster and Demo Track.
[Conference] 17 March 2020. IEICE General Conference @ Hiroshima, Japan
Our following short paper was published in the Proceeding of IEICE General Conference.
Liang Z, Andersen LE, Tatha O. (2020) Towards automatic analysis of relationship between perceived stress and physical activity with self-tracking technologies.
[Conference] 10 March 2020. IEEE LifeTech 2020 @ Kyoto, Japan
Our following short paper was published in the Proceeding of The 2020 IEEE 2nd Global Conference on Life Sciences and Technologies.
Liang Z, Tatha O, Andersen L. (2020) Developing mHealth app for tracking academic stress and physiological reactions to stress.
[Conference] 5 March 2020. The 82th National Convention of IPSJ @ Kanazawa, Japan
Our following short paper was published in the Proceeding of the 82th National Convention of Information Processing Society of Japan.
Liang Z, Chapa-Martell MA. (2020) Leveraging consumer activity trackers for sleep stage prediction.
[Conference] 29 Feb 2020. Annual Meeting of JSET @ Nagano, Japan
Our following short papers were published in the Proceedings of the Annual Meeting of Japanese Society for Educational Technology.
Liang Z, Chapa-Martell MA. (2020) Towards the visualization of classroom orchestration.
Smith M, Liang Z, Piumarta I, Tabata O, Takeda K. (2020) Design of faculty development training program for English medium instruction in engineering.
[Program Committee] 25 Feb 2020. IEEE TALE 2020
I was invited to join the local committee of IEEE TALE 2020, the flagship conference of IEEE Education Society on STEM education.
[Conference] 24 Feb 2020. HEALTHINF 2020 @ Valletta, Malta
Our following paper was published in the Proceedings of the 13th International Conference on Health Informatics.
Liang Z, Chapa-Martell MA. (2020) A two-stage imbalanced learning method to sleep stage classification using consumer activity trackers.
[Outreach] 17 Jan 2020. KUAS-NCIS Technical Exchange Seminar @ NIDEC Center for Industrial Science
I gave a talk on "Sleep health in digital age: from wearable sensing to personal informatics" at KUAS-NCIS Technical Exchange Seminar ~ The Future of Simulation and Data Science ~
[Outreach] 10 Dec 2019. IEEE TALE 2019 @ Yogyakarta, Indonesia
I presented KUAS in an outreach session during the IEEE Conference on Teaching, Assessment and Learning 2019 for Engineering at Yogyakarta, Indonesia.
[Conference] 10 Dec 2019. IEEE TALE 2019 @ Yogyakarta, Indonesia
Our following papers will be published in the Proceedings of IEEE TALE 2019, the flagship conference of IEEE Education Society on STEM education.
Liang Z. (2019) Enhancing active learning in web development classes using pairwise pre-and-post lecture quizzes, Yogyakarta, Indonesia.
Liang Z. (2019) Design of a web development attitudes survey, Yogyakarta, Indonesia.
[Journal] 04 Dec 2019. The Journal of Physical Fitness and Sports Medicine
Our following abstract was published in The Journal of Physical Fitness and Sports Medicine.
Liang Z, Chapa-Martell MA. (2019) Measurement accuracy of consumer sleep tracking wristbands is associated to users’ age and sleep efficiency. The Journal of Physical Fitness and Sports Medicine 8(6):394.
[Media] 28 Nov 2019. KUAS Official Website
Our research was introduced in a news article (by Prof Tadayuki Imai) on the official website of KUAS.
[Conference] 12 Oct 2019. Annual Meeting of the Japanese Society for Chronobiology @ Kanazawa, Japan
I gave an oral presentation on the following topic in the 26th Annual Meeting of the Japanese Society for Chronobiology.
Liang Z, Chapa-Martell MA. (2019) Moving beyond statistical analysis: applying association rule mining to discovering correlations between daily behavioral rhythm and sleep quality.
[Media] 10 Oct 2019. GIZMODO
Our paper on the validation of consumer wearable sleep trackers was featured in a science article "Does My Smartwatch's Sleep Tracker Actually Do Anything?" by Maddie Stone on GIZMODO.
[Conference] 19 Sep 2019. Annual Meeting of the Japanese Society of Physical Fitness and Sports Medicine @ Tsukuba, Japan
I gave an oral presentation on the following topic in the 74th Annual Meeting of the Japanese Society of Physical Fitness and Sports Medicine.
Liang Z, Chapa-Martell MA. (2019) Measurement accuracy of consumer sleep tracking wristbands is associated to user-specific factors.
[Conference] 12 Sep 2019. IEICE Society Conference 2019 @ Osaka, Japan
Our following paper was published in the Proceedings of IEICE Society Conference 2019.
Liang Z, White G, Clarke S Chapa-Martell MA. (2019) Mining association rules in quantified self data for better sleep and productivity
[Conference] 4 Sep 2019. The 17th Intl Conf on Content-Based Multimedia Indexing (CBMI 2019) @ Dublin, Ireland
Our following full paper was published in the Proceedings of CBMI 2019 (indexed by IEEE Xplorer and ACM DL).
White G, Liang Z, Clarke S (2019) A quantified-self framework for exploring and enhancing personal productivity.
[Conference] 3 Sep 2019. The 18th Form on Information Technology @ Okayama, Japan
Our following full paper was published in the Proceedings of the 18th Forum on Information Technology.
Liang Z., Chapa-Martell MA. (2019) Mitigating resource constraints in web development education using commercial cloud services.
[Invited talk] 31 Aug 2019. Artificial Intelligence Research Center, AIST @ Tokyo, Japan
I gave an invited talk on "Wearable Computing and Personal Informatics for Health and Wellbeing" in the Artificial Intelligence Research Center at the National Institute of Industrial Science and Technology on 30 Aug 2019.
[Program Committee] 15 Aug 2019. ACM SIGCSE 2020
I was invited to join the TPC of ACM SIGCSE 2020, the flagship conference of ACM Special Interest Group in computer science education.
[Conference] 6 Aug 2019. The 17th IEEE Intl Conf on Pervasive Intelligence and Computing (PICom 2019) @ Fukuoka, Japan
Our following full paper was published in the Proceedings of IEEE PICOM 2019 (indexed by Scopus and IEEE Xplorer).
Liang Z, Chapa-Martell MA. (2019) Achieving accurate ubiquitous sleep sensing with consumer wearable activity wristbands using multi-class imbalanced classification.
[Program Committee] 28 Jul 2019. IEEE TALE 2019
I was invited to join the TPC of IEEE TALE 2019, the flagship conference of IEEE Education Society on STEM education.
[Media] 16 Jul 2019. UK Houses of Parliament
Our paper on the validation of consumer wearable sleep trackers was cited by the UK Parliamentary Office of Sciences & Technology in their review report on sleep and health. We look forward to creating further impact of our research outcomes.
[Journal] 4 Jul 2019. EAI Endorsed Transactions on Pervasive Health and Technology
Our following full paper was published in the EAI Endorsed Transactions on Pervasive Health and Technology (indexed by Scopus and DBLP).
Liang Z, Yoshida Y, Iino N, Nishimura T, Chapa-Martell MA, Nishimura S.(2019) A pervasive sensing approach to automatic assessment of trunk coordination using mobile devices.
[Journal] 8 Jul 2019. EAI Endorsed Transactions on Pervasive Health and Technology
Our following full paper was published in the EAI Endorsed Transactions on Pervasive Health and Technology (indexed by Scopus and DBLP).
Liang Z, Chapa-Martell M A. (2019) Not all errors are created equal: influence of user characteristics on measuring errors of consumer wearable devices for sleep tracking.
[Conference] 12 Jun 2019. The 7th IEEE Intl Conf on Healthcare Informatics (ICHI 2019) @ Xi'an, China
Our following short paper was published in the Proceedings of IEEE ICHI 2019 (indexed by SCI and Scopus).
Liang Z, Chapa-Martell MA. (2019) Combining resampling and machine learning to improve sleep-wake detection of Fitbit wristbands.
[Conference] 8 Jun 2019. The 62th Meeting of IPSJ SIG UBI @ Tokyo, Japan
Our following full paper was published as a technical report by the 62th Meeting of the IPSJ Speical Interest Group on Ubiquitous Computing System.
Liang Z, Chapa-Martell MA. (2019) Predicting medical-grade sleep/wake classification from Fitbit data using tree-based machine learning. IPSJ SIG Technical Report.
[Journal] 6 Jun 2019. Journal of Medical Internet Research (Ranked #2 among medical informatics journals by SCI)
Our following paper was published in the JMIR mHealth and uHealth (indexed by PubMed, SCI and Scopus).
Liang Z, Chapa-Martell MA. (2019) Accuracy of Fitbit wristbands in measuring sleep stage transitions and the effect of user-specific factors.
[Grant] 1 Apr 2019. JSPS Grant-in-Aid for Early Career Scientists
Our following research proposal was accepted by the JSPS Grant-in-Aid for Young Scientist (2019-2021, Amount: JPY 4,160,000, PI: Dr. Zilu Liang).
Where is stressed processed in brain during sleep? -- A Neuroimaging study into stress-related abnormalities in brain activity during sleep
[Conference] 24 Mar 2019. IEEE PerCom 2019 @ Kyoto, Japan
Our following paper was published in the Proceedings of IEEE Percom 2019 (indexed by IEEE Xplorer and DBLP).
Liang Z, Chapa-Martell MA. (2019) Combining numerical and visual approaches in validating sleep data quality of consumer wearable wristbands. IEEE IQ2S Workshop, Kyoto, Japan.
[Conference] 12 Dec 2018. IEEE TALE 2018 @ Wollongong, Australia
Our following full paper was published in the Proceedings of IEEE TALE 2018 (indexed by SCI, Scopus and IEEE Xplorer).
Liang Z, Chapa-Martell MA. (2018) A top down approach to teaching web development on cloud. IEEE TALE 2018, Wollongong, Australia.
[Conference] 06 Oct 2018. Asian Deans' Forum 2018: The Rising Stars Women in Engineering Workshop @ Hongkong
Attended the Asian Deans' Forum 2018 as a rising star women in engineering as a representative of the Univ of Tokyo
[Grant] 31 May 2018. Interstellar Initiative 2018 @ New York, US
Was selected as an Early Career Investigator (ECI) by the Interstellar Initiative 2018, co-funded by Japan Agency for Medical Research and Development & The New York Academy of Sciences. Will attend the initial workshop in New York to meet other ECI. Together we will tackle the greatest challenges in neuroscience. Excited!
[Journal] 20 Apr 2018. Journal of Healthcare Informatics Research
Our following paper was published in the Journal of Healthcare Informatics Research
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. DOI: 10.1007/s41666-018-0013-1
[Experiment] 27 Jul 2015. Study Participants Wanted ($25 voucher/interview)
Do you have a Fitbit? Are you using Fitbit to track your sleep and lifestyle data like steps walked, exercise or diet? We are building a new web app to help you analyse how your lifestyle affects your sleep. We are looking for Fitbit users to try out the app over 2 weeks and to comment on it in interviews at the start and at the end of the study (1 hour per interview). Volunteers will receive a $25 book/iTunes voucher per interview. HREC #1339336. Register interest at http://go.unimelb.edu.au/39qn or get in touch with Zilu Liang (email@example.com).