Invited Talks

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• Liang Z. (2023) From Serious Games to Wearables: Supporting People with Developmental Disorders with AI-Empowered Ubiquitous Computing Technologies. KUAS Research Network Symposium.

• Liang Z. (2023) Ubiquitous and Personal Computing for Health and Well-being. International Seminar on Seminar on Machine Learning, Optimization, and Data Science.

• Liang Z. (2022) Machine learning and data mining in consumer health informatics. International Seminar on Seminar on Machine Learning, Optimization, and Data Science.

• Liang Z. (2021) Mobile and Wearable Computing for Studying Human Physiology and Behavior in the Wild. Human Augmentation Research Center, National Institute of Industrial Science and Technology. 

• Liang Z. (2020) Wearable Technologies for Enhancing Health and Sports Performance.  Health and Sports Science Seminar, Faculty of Health and Medical Sciences, KUAS.

• Liang Z. (2019) Wearable Computing and Personal Informatics for Health and Wellbeing. Artificial Intelligence Research Center, National Institute of Industrial Science and Technology.

• Liang. Z. (2018). Time and sequence matter: investigating the relationship between sleep and day-time events. Asian Deans' Forum 2018: The Rising Stars Women in Engineering Workshop, Hongkong. 

• Liang. Z. (2015). Unburdening Overloaded Urban Healthcare Systems with Data-Driven Personalized Self-Care. Singapore Scientific Conference, Singapore.

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Conference/Workshop/Symposium Presentations

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• Liang Z. (2023) Machine Learning based Sleep Apnea Screening with Overnight SpO2 Recordings. In Proceedings of the 48th Annual Meeting of Japanese Society of Sleep Research (JSSR), Yokohama, Japan. 【Honorable Mention for the Best Presentation Award】 (reviewed)

• Liang Z, Saskovets M. (2023) Investigating Subjective-Objective Sleep Discrepancy with Consumer Sleep Tracking and Wearable fNIRS Technologies. The 2023 International Artinis (f)NIRS Symposium, Bangkok, Thailand.

• Liang Z. (2023) Gamifying Digital Signal Processing Learning with Kahoot! Quiz. IEICE General Conference 2023, Oomiya.

• Liang Z, Yahya KN, Setiawan EN, Kasan JA, Firdauzi MO. (2023) FunAlarm: Gamification-Based Smartphone Alarm Application for Reducing Wakeup Delay. The 4th Sleep Congress of Asian Society of Sleep (ASSM 2023), Bangkok, Thailand. (reviewed)

• Hoang HN, Liang Z. (2023) Shallow and Deep Learning Models for Detecting Apnea Events in Stroke Patients. The 4th Sleep Congress of Asian Society of Sleep (ASSM 2023), Bangkok, Thailand. (reviewed)

• Khotchasing K, Liang Z. (2023) A Pilot Study into the Feasibility of Utilizing Contagious Yawning to improve Sleep Quality. The 4th Sleep Congress of Asian Society of Sleep (ASSM 2023), Bangkok, Thailand. (reviewed)

• Nhung HH, Jayen H, Lukovnikova A, Liang Z. (2023) Beyond Statistical Analysis: Identifying Meaningful Patterns in Sleep Apnea Dataset using Contrast Set Mining. In Proceedings of the 48th Annual Meeting of Japanese Society of Sleep Research (JSSR), Yokohama, Japan. (reviewed)

• Khotchasing K, Nhung HH, Liang Z. (2023) Design and Development of Gamification mHealth Application for Sleep Hygiene Intervention. In Proceedings of the 48th Annual Meeting of Japanese Society of Sleep Research (JSSR), Yokohama, Japan. (reviewed)

• Saskovets M, Liang Z. (2023) Validation of a New Stress Induction Protocol using Speech Improvisation in Front of Audience: an fNIRS Pilot Study​. The 2023 International Artinis (f)NIRS Symposium, Bangkok, Thailand. 【First author is PhD student】

• Sirithummarak P, Liang Z. (2023) Developing a Cross-Platform Application for Health Data Integration from Multiple Wearable Sensors. IEICE Society Conference 2023, Nagoya. 【First author is master student】

• Nhung H. H., Liang Z. (2023) Identifying Patterns in Continuous Glucose Monitoring Data using Contrast Set Mining. IEICE General Conference 2023, Oomiya.

• Liang Z. (2022) Changes in attitude towards mobile app development: a preliminary comparison between MIT App Inventor and Android Studio. In Proceedings of the 2022 IFIP World Conference on Computers in Education, Hiroshima, Japan. (reviewed)

• Liang Z. (2022) Mining associations between Fitbit measured sleep structure and subsequent daytime glycemia patterns. In Proceedings of the 47th Annual Meeting of Japanese Society of Sleep Research (JSSR), Kyoto, Japan. 【Honorable Mention for the Best Presentation Award】 (reviewed)

• Sirithummarak P, Liang Z. (2022) Less is more: Apple Watch based four-stage sleep classification with small and large feature sets. IEICE General Conference 2022, Online. 【First author is master student】

• Liang Z. (2021) Association between bedtime stress level and hemodynamics in prefrontal cortex during sleep. In Proceedings of the 46th Annual Meeting of Japanese Society of Sleep Research (JSSR), Fukuoka, Japan. (reviewed)

• Liang Z. (2021) Self-rated sleep quality is associated with hemodynamics in prefrontal cortex in the first sleep cycle. In Proceedings of the 3rd Congress of Asian Society of Sleep Medicine (ASSM), Beijing, China. (reviewed)

• Liang Z (2021) Teaching Android app development with MIT App Inventor in an English-medium instruction context. In Proceedings of the Annual Autumn Meeting of Japanese Society for Educational Technology, Kumamoto, Japan.

• Sirithummarak P, Liang Z. (2021) Effect of feature distribution shift on sleep-wake classification with Apple watch. In Proceedings of the 2021 IEICE Society Conference, Kumamoto, Japan. 【First author is master student】

• Liang Z (2021) Reflection on an English-medium app development course. In Proceedings of the Annual Spring Meeting of Japanese Society for Educational Technology, Kobe, Japan.

• Liang Z (2020) Leveraging ubiquitous learning technologies for collaborative online learning. In Proceedings of the 45th Annual Conf of Japanese Society for Information and Systems in Education, Hiroshima, Japan.

• Liang Z (2020) Engaging students in online virtual classroom using web application Sutori. The 19th IPSJ Forum of Information Technology, Hokkaido, Japan. 

• Liang Z, Andersen LE, Tatha O. (2020) Towards automatic analysis of relationship between perceived stress and physical activity with self-tracking technologies. In Proceedings of the 2020 IEICE General Conference, Hiroshima, Japan.

• Liang Z, Chapa-Martell MA. (2020) Leveraging consumer activity trackers for sleep stage prediction. The 82th National Convention of the Information Processing Society of Japan, Kanazawa, Japan.

• Liang Z, Chapa-Martell MA. (2020) Towards the visualization of classroom orchestration. Annual Meeting of The Japanese Society for Educational Technology (JSET), Nagano, Japan.

• Yun S, Moekoe C, Sirithummarak P, Liang Z. (2020) Leveraging cloud-based learning technologies for developing professional communication skills in a collaborative learning environment. In Proceedings of the 2020 IEICE Society Conference, Tokushima, Japan. 【First authors are undergraduate students】

• Moekoe C, Yun S, Sirithummarak P, Liang Z. (2020)Building Technical Communication Skills of Engineering Students using Authentic Materials and Tasks. In Proceedings of the 2020 IEICE Society Conference, Tokushima, Japan. 【First authors are undergraduate students】

• Smith M, Liang Z, Piumarta I, Tabata O, Takeda K. (2020) Design of faculty development training program for English medium instruction in engineering. Annual Meeting of The Japanese Society for Educational Technology (JSET), Nagano, Japan.

• Liang Z, Chapa-Martell MA. (2019) Moving beyond statistical analysis: applying association rule mining to discovering correlations between daily behavioral rhythm and sleep quality. The 26th Annual Meeting of the Japanese Society for Chronobiology, Kanazawa, Japan.

• Liang Z, Chapa-Martell MA. (2019) Measurement accuracy of consumer sleep tracking wristbands is associated to user-specific factors. The 74th Annual Meeting of the Japanese Society of Physical Fitness and Sports Medicine, Tsukuba, Japan.​​

• Liang Z, White G, Clarke S, Chapa-Martell MA. (2019) Mining association rules in quantified self data for better sleep and productivity. IEICE Society Conference 2019, Osaka, Japan. ​​​

• Liang Z, Chapa-Martell MA. (2019) Mitigating resource constraints in web development education using commercial cloud services. The 18th Forum on Information Technology, Okayama, Japan.

• Liang, Z., Nishimura, S., Nishimura, T, Chapa-Martell, M. A. (2018) LessonSpectrum: visualizing teaching and learning activities in English conversation lessons. Orchestrating Learning Analytics (OrLA) workshop, Sydney, Australia.  

• Egholm-Andersen, L., Liang, Z., Morimura, K. (2018). A web application for analyzing stress association factors among students. IEICE General Conference, Tokyo. ​

• Liang Z, Nishimura S, Nishimura T, Chapa-Martell MA. (2017) Understanding Teachers' Time Management in English Conversation Classes using Experience Sampling Method and Data Visualization. International Workshop on Knowledge Explication for Industry, Tokyo, Japan. 

• Liang, Z., Nishimura, S., Nishimura, T., Iino, N. (2017) Gaining insights from English Conversation classes using thematic analysis: a pilot study. In Proceedings of the 7th International Conference on Language, Innovation, Culture and Education, Singapore. ​​​

• Liang, Z., Chapa-Martell, M.A. (2017) Wearable EEG v.s. wristband: which is more accurate for sleep tracking under free living conditions? The 39th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC'17), Jeju, Korea. 

• Liang, Z. (2017). Comparison of commercial wearable sleep trackers to subjective sleep quality. In Proceedings of the 42th Annual Meeting of Japanese Society of Sleep Research, Yokohama, Japan. 

• Liang Z, Chapa-Martell MA. (2017). Paradox in validating consumer wearable activity trackers on measuring sleep quality. The 16th Forum on Information Technology, Tokyo. ​

• Liang, Z., Liang, H., Nishimura, T., Nishimura, S., Yoshida, Y. (2017) Automatic evaluation on trunk coordination ability using portable devices: feasibility and preliminary results. The 16th Forum on Information Technology, Tokyo. 

• Liang, Z., Nishimura, S., Nishimura, T., Iino, N. (2017) Understanding effective teaching in advanced English conversation classes through thematic analysis. The 16th Forum on Information Technology, Tokyo.

• Liang, Z., Chapa-Martell, M. A. (2017). Mining wearable sleep data for detecting unusual sleep. IEICE General Conference, Nagoya. 

• Ploderer, B., Vyas, D., Nolan, S., Happer, C., Cunningham, T., Liang, Z. (2017). SleepBeta: engaging adolescents and their parents with sleep data. CHI workshop, Denver, USA.

• Liang Z, Morimura K, Hernandez YA. (2017) Empowering globalization of engineering education with open-source e-learning platform and cloud computing technology. JSEE Annual Conference International Session Proceedings 2017.

• Hernandez YA, Liang Z, Morimura K. (2017) International communication through Skype for engineering education. JSEE Annual Conference International Session Proceedings 2017. 【JSEE International Session Award】

• Morimura K, Hernandez YA, Liang Z. (2017) M-Skype as a COIL program: collaborative online international learning. JSEE Annual Conference International Session Proceedings 2017.

• Liang, Z., Liang, H., Nishimura, T., Chapa-Martell, M. (2016). Quantitative Analysis of Difference between Good and Bad Motion During Coordinated Movements and Its Potential Application to Healthy Aging. In Proc. of HAT-MASH Workshop 2016, Yokohama.

• Nishimura, T., Yosihda, Y., Liang, Z., et al. (2016). Evaluate the quality of posture and motion: for motion which makes body happy without fatigue and damage. Symposium of Sports Engineering and Human Dynamics, Yamagata.

• Liang, Z., Nishimura, S., Nishimura, T. (2016) Quantifying core strength in viewpoint of neuromuscular control. In Proceedings of LIFE2016, Sendai. ​

• Liang, Z., Nishimura, S., Nishimura, T. (2016) Quantifying and visualizing trunk strength using mobile devices. Proceedings of the 30th Annual Conference of The Japanese Society for Artificial Intelligence, Kokura.

• Liang, Z.; Chapa-Martell, M. A. (2015). Development of A Web-Based Automatic Data Analysis Tool for Users Without Statistics Background. Proc. of 10th AEARU Workshop on Computer Science and Web Technology, Tsukuba, Japan

• Liang, Z. (2015). A Web Application for Automatic Analysis on Life-Style Factors Affecting Personal Health from Self-Tracking Data. Proc. of HEALTHINF 2015, Lisbon, Portugal.

• Liang, Z., Liu, W., Ploderer, B., Bailey, J., Kulik, L., and Li, Y.(2015). Making Sense of Personal Sleep-Tracking Data through Automated Correlation Analysis and Visualization of Sleep Data and Contextual Information. In Proc. of HAT-MASH Workshop 2015, Yokohama.

• Liang, Z.; Wakahara, Y. (2014). Microscopic Route Guidance System with Vehicle-Level Rerouting for Facilitating Smooth Travel in City Areas. Proc. of IEICE Society Conference 2014, Tokushima. 【English Session Encouragement Award】

• Liang, Z.; Wakahara, Y. (2014). Proactive Route Guidance System based on Vehicle Ranking. Proc. of IEICE General Conference 2014, Niigata.

• Liang, Z.; Wakahara, Y. (2014). Urban Traffic Prediction Models for Dynamic Route Guidance Systems. Proc. of GCOE Symposium 2014, Tokyo. 【Best Poster Award】

• Liang Z, Wakahara Y. (2014). Reducing Average Travel Time through Individualized Route Guidance in Urban Traffic Network. Proc. of APNOMS 2014, Hsinchu, Taiwan.

• Liang Z, Wakahara Y. (2013). Urban Traffic Prediction in the Scope of Intelligent Transportation System. Proc. of APNOMS 2013, Hiroshima, Japan.

• Liang, Z.; Wakahara, Y. (2013). Urban Traffic Prediction Based on Spatial-Temporal Correlation. Proc. of IEICE Society Conference 2013, Fukuoka.

• Liang, Z.; Polak, J.; Wakahara, Y. (2013). Investigation on the Performance of Route Guidance Systems with Imperfect Input. Proc. of IEICE General Conference 2013, Gifu.

• Liang, Z.; Wakahara, Y. (2013). Effect of Imperfect Input on the Benefit of Route Guidance Systems (RGS). The University of Tokyo Multi-disciplinary Student Symposium 2013, Tokyo.

• Yao, X; Liang, Z.; Wakahara, Y. (2012). Extending the Synchronized Multi-Hop Protocol with Fast Transmission Failure Recovery for Multi-Hop Wireless Networks. Proc. of IEICE Network Software Conference.

• Liang, Z.; Yao, X; Wakahara, Y. (2012). A New Intelligent Transport System for Traffic Congestion Management. Proc. of IEICE Society Conference 2012, Toyama.

• Liang, Z.; Wakahara, Y. (2012). Performance Improvement of Route Shortening in Wireless Ad Hoc Network. Proc. of the 16th Network Software Conference, Hakotate.

• Liang, Z.; Taenaka, Y; Wakahara, Y. (2012) Applying Support Vector Machine to Automatic Route Shortening in Wireless Ad Hoc Networks. Proc. of IEICE General Conference 2012, Okayama.

• Liang Z, Chapa-Martell MA. (2011). Improving women’s health through proactive health education. Proc. of APRU DSC 2011, Beijing, China.

• Liang, Z.; Taenaka, Y; Ogawa, T; Wakahara, Y. (2011). Automatic Route shortening based on Support Vector Machine in Wireless Ad Hoc Networks. Proc. of IEICE Society Conference 2011, Sapporo.

• Liang, Z.; Taenaka, Y; Ogawa, T; Wakahara, Y. (2011). Automatic Route Shortening for Performance Enhancement in Wireless Ad Hoc Networks. Proc. of the 13th Network Software Conference, Kushiro. 【Network Software Research Award】

• Liang, Z.; Taenaka, Y; Ogawa, T; Wakahara, Y. (2011). Incorporating Route Recovery Information to Gossip Routing in Wireless Ad Hoc Network. Proc. of IEICE General Conference 2011, Tokyo.

• Liang, Z.; Taenaka, Y; Ogawa, T; Wakahara, Y. (2010). Automatic Route Recovery Based on Relay Nodes in Wireless Ad Hoc Networks. Proc. of IEICE Society Conference 2010, Osaka.

• Liang, Z.; Ogawa, T; Wakahara, Y. (2010). An Automatic Route Recovery Method Based on Reserved Virtual Local Paths for Wireless Ad Hoc Network. Proc. of IEICE General Conference 2010, Sendai.

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Technical Reports

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• Liang Z, Chapa-Martell MA. (2019) Predicting medical-grade sleep/wake classification from Fitbit data using tree-based machine learning. IPSJ SIG Technical Report 2019-UBI-62(14):1-8. ​

• Liang Z, Chapa-Martell MA, Ploderer, B. (2017) Inter-individual differences in sleep quality: insights from mining wearable sleep-tracking data. IPSJ SIG Technical Report 2017-MBL-82 (54):1-6.

• Nishimura T, Nishimura S, Yoshida Y, Liang Z, et al. (2016) Development of knowledge of texts and on-site evaluation technologies for exercise coaching. IPSJ SIG Technical Report.

• Liang, Z.; Wakahara, Y. (2013). Real Time Traffic Prediction in Urban Traffic Network. IEICE Technical Report, 2013-ITS-54:5, ITS2013-13, 1-6.

• Liang, Z.; Polak, J.; Wakahara, Y. (2013). Simulation Studies on the Benefit of Route Guidance Generated from Imperfect Traffic Data. IEICE Technical Report, 112:470, ITS2012-62, 37-42.

• Liang, Z.; Wakahara, Y. (2012) Reliable Local Recovery in Wireless Ad Hoc Networks. IEICE Technical Report, 112:350, NS2012-139, 133-138.

• Yao, X; Liang, Z.; Wakahara, Y. (2012). Synchronized Multi-Hop Protocol with Fast Transmission Failure Recovery for IEEE 802.11 Multi-Hop Wireless Network under Large Interference Range. IEICE Technical Report, 112:350, NS2012-120, 19-24.

• Liang, Z.; Taenaka, Y; Ogawa, T; Wakahara, Y. (2011). Fast and Low-Overhead Route Recovery in Wireless Ad Hoc Networks. IEICT Technical Report, 110:372, NS2010-146, 25-30.