Hi, I’m Hoang Huyen Nhung

Welcome! You’ve stumbled upon my website — which probably sits somewhere at the far edge of the internet. It’s not exactly a groundbreaking discovery, but hey, everyone deserves to feel a little sense of accomplishment at least once a day, right?

I’m a PhD student in Mechanical and Electrical Systems Engineering at Kyoto University of Advanced Science (KUAS). I’m part of the Ubiquitous and Personal Information Lab, where my research focuses on developing trustworthy AI systems for sleep apnea detection and long-term sleep monitoring using wearable devices.

When I'm not coding, you can probably find me teaching English to kids, sightseeing, or wandering somewhere between reality and daydreams. 💤🌜

Places I Have Been Through

A small visual record of the places that shaped my journey so far. You can click the pins on the map to see why I traveled there.

Latest News

[24 May 2026] I completed my third specialization course: Generative AI for Mobile App Developers, provided by IBM and SkillUp.

[30 April 2026] I completed two specialization courses in April: Machine Learning from DeepLearning.AI / Stanford Online and digital art with Procreate on Skillshare. My certificate collection is available here.

[19 April 2026] Our paper was accepted by MethodsX (Q1), indexed by SCI and Scopus. Liang Z, Khotchasing K, Hoang N. Catching a Yawn: A Multimodal Experimental Protocol for Investigating Sleepiness under Visual and Auditory Yawning Stimuli Featuring Human and Digital Characters.

[3 March 2026] We presented the following papers at the 19th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2026).

Hoang NH, Liang Z. Decision Threshold Optimization in Machine Learning Models for Questionnaire-Based OSA Screening. (Full paper acceptance rate = 25%)
Liang Z, Hoang NH, Melcer E, and Hwang D. Unlocking Collaborative Creativity: Co-Design Smartwatch-Based Serious Games for Sleep Hygiene Intervention. (Full paper acceptance rate = 25%)
Karunarathna TS, Hoang NH, Liang Z. GlucoPatrol: A Multi-Stakeholder Dashboard for Contextual Exploration of Continuous Glucose Monitoring Data.
Liang Z, Hoang NH, Karunarathna TS. Biochemical Self-Tracking as Personal Informatics: Sensemaking and Actionability of At-Home Micronutrient Tests.

[5 Feb 2026] Our following submissions were published in Sleep Medicine, a top journal in sleep research.

Liang Z, Hoang N, Karunarathna T. (2026) Uncovering Sleep-Linked Glucose Dynamics in Healthy Individuals Using Wearable Data. Sleep Medicine 138(Supp.): 108538.
Hoang N, Liang Z. (2026) Interpretable Machine Learning Using Questionnaire Data: A Scalable Approach for Sleep Apnea Screening. Sleep Medicine 138(Supp.): 108099.
Hoang N, Villeneuve J, Morrison H, Tu A, Karunarathna T, Hwang D, Chen S, Khotchasing K, Liang Z, Melcer E. (2026) Delivering Sleep Hygiene Interventions through Smartwatch-based Serious Sleep Games. Sleep Medicine 138(Supp.): 108585. (International collaboration with Carleton University, Canada, and the University of California Santa Cruz, USA)

[2 Feb 2026] I was invited to review a poster for CHI 2026.

[26 Nov 2025] I completed the Faculty Development Program at The University of Tokyo, which helped me grow as an educator and mentor while connecting with professors and graduate students from diverse backgrounds.

[29 Oct 2025] We presented the following paper at the 2025 IEEE 11th World Forum on Internet of Things (WF-IoT). Liang Z, Chen S, Hoang NN, Edward M. Sleep, Sensors, and the Smartwatch: Co-Design Interaction Modalities for On-Wrist Health Apps. (International collaboration with Carleton University, Canada)

[24 Oct 2025] We presented the following papers at the 7th World Symposium on Software Engineering (WSSE 2025).

Karunarathna TS, Hoang NH, Khurshe S, Beten A, Lococo Z, Baig A, and Liang Z. A Layered Software Stack for Web-Based Glucose Prediction and Visualization. (Best Presentation Award)
Raj P, Hoang N, and Liang Z. Software Engineering for PMS Self-Care: Integrating Clinical Assessment with Data-Driven Health Management on Smartphones.
Hoang N, Morrison H, Karunarathna TS, and Liang Z. Developing Serious Games on WearOS: A Software Engineering Perspective on Wearable-Game Integration.
Lococo L, Karunarathna TS, Hoang NH, and Liang Z. GlucoSurf: Engineering Interactive 3D Visualization for Exploring Postprandial Glucose Dynamics.

[24 Oct 2025] The 7th World Symposium on Software Engineering (WSSE 2025) was held in Okayama. It was my first time serving as a session chair.

[7 Oct 2025] I served as a reviewer for the CHI 2025 Papers Track, my first time reviewing for an A-rank conference.

[7 Sep 2025] I received the Young Investigator Award at the Asian Society of Sleep Medicine Congress (ASSM 2025) for my research in digital sleep health.

[27 Aug 2025] We presented the following paper at the 73rd Annual Conference of Japanese Society for Engineering Education (JSEE) - International Session. Hoang NH, Liang Z. Navigating Stress in Academic Life: An EDA Study of Stress Responses across Research Activities.

[23 Aug 2025] We gave the following presentation at the 2025 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology. Karunarathna T, Beten A, Lococo L, Baig A, Hoang N, Liang Z. Impact of Cross-Subject Distribution Shifts on Glucose Prediction Using Wearable Data. (International collaboration with Ohio State University, USA)

[14 July 2025] Our paper was accepted by Frontiers in Sleep, indexed by Scopus. Liang Z, Melcer E, Hoang HN, Khotchasing K. Sleep Hygiene Games and Gamification: Where Are We and Where Are We Heading? (International collaboration with Carleton University, Canada)

[16 May 2025] We welcomed five research interns from Ohio State University, who worked on sleep game development and continuous glucose prediction with wearable devices. I had the opportunity to lead the game development team as we officially kicked off our game projects.

[1 May 2025] I started working with ISA as an international group leader. ISA offers intensive English camps and global studies programs for elementary, junior high, and high school students across Japan. This role has given me the chance to learn more about teaching culture in Japan while sharing pride in my own country with the next generation. 📖✍️

[30 April 2025] We were selected as a finalist team in the 2025 IEEE CIS Student Grand Competition on Computational Intelligence in Biomedicine and Healthcare. Karunarathna TS, Hoang NH, Khurshe S, Beten A, Lococo M. GlucoPatrol: AI-Powered, Non-Invasive Smartwatch System for Continuous Glucose Monitoring.

[28 April 2025] I joined and presented my first full paper at the 2025 ACM CHI Conference on Human Factors in Computing Systems (CHI 2025), the premier international conference in Human-Computer Interaction.

Main conference: Liang Z, Hwang D, Chen S, Hoang NH, Khotchasing K, Melcer EF. User Preferences for Interaction Timing in Smartwatch Sleep Hygiene Games. (Acceptance rate = 7.8%, international collaboration with Carleton University, Canada, and the University of California Santa Cruz, USA)
HCI+Health Workshop: Liang Z, Hoang NH, Karunarathna T. A Pilot Study on Sensemaking of Consumer Micronutrient Tests: Sufficiencies, Deficiencies, and Barriers to Improvement.

[16 April 2025] My parents came to visit me in Japan. This was an important milestone for me as a daughter to my funny dad and fashionable mom. 📖✍️

[24 March 2025] Our following paper was published by Frontiers in Digital Health (Q1), indexed by PubMed, SCI, and Scopus. Hoang NH, Liang Z. AI-Driven Sleep Apnea Screening With Overnight Blood Oxygen Saturation: Current Practices and Future Directions.

[7 March 2025] Our following paper was published by Sensors (Q1), indexed by PubMed, SCI, and Scopus. Hoang NH, Liang Z. Detection and Severity Classification of Sleep Apnea Using Continuous Wearable SpO2 Signals: A Multi-Scale Feature Approach.

[8 Jan 2025] Our following paper was published in the Proceedings of the 18th International Conference on Health Informatics, indexed by Scopus. Hoang N, Liang Z. (2025) Reconsidering AHI as an Indicator of Sleep Apnea Severity: Insights from Mining Large, Longitudinal Sleep Datasets.

[10 Dec 2023] Our following submission was accepted for presentation at the 4th Sleep Congress of Asian Society of Sleep (ASSM 2023). Hoang HN, Liang Z. (2023) Shallow and Deep Learning Models for Detecting Apnea Events in Stroke Patients.

[22 Nov 2023] We organized the Gamified Smartwatch for Sleep Health Workshop, facilitated by Prof. Edward Melcer and attended by 47 students. This workshop followed three co-design workshops held during the summer and fall of 2023 and further explored the interdisciplinary space between gamification, digital health, and human-computer interaction. Instagram.

[10 Oct 2023] Our following paper was accepted for publication in the Proceedings of the 12th Global Conference on Consumer Electronics (GCCE 2023). It was also my first time assisting exchange students during their short-term internship, which gave me a valuable chance to connect with talented students from around the world. Jayen H, Lukovnikova A, Nhung HH, Liang Z. (2023) Mining Contrast Rules in a Sleep Apnea Dataset.

[15 Sep 2023] Our following submissions were accepted for presentation at the 48th Annual Meeting of Japanese Society of Sleep Research.

Nhung HH, Jayen H, Lukovnikova A, Liang Z. (2023) Beyond Statistical Analysis: Identifying Meaningful Patterns in Sleep Apnea Dataset using Contrast Set Mining.
Khotchasing K, Nhung HH, Liang Z. (2023) Design and Development of Gamification mHealth Application for Sleep Hygiene Intervention.

[6 Sep 2023] I completed my master’s degree and continued my journey toward a PhD and beyond. It has been a tough and challenging adventure, and I think I deserve a pat on the back.

[6 March 2023] My short paper was published in the Proceedings of the 2023 General Conference of the Institute of Electronics, Information and Communication Engineers. Nhung H. H., Liang Z. (2023) Identifying Patterns in Continuous Glucose Monitoring Data using Contrast Set Mining.

[23 Feb 2023] Our following paper was published in the Proceedings of the 16th International Conference on Health Informatics, indexed by SCI and Scopus. Nhung H. H., Liang Z. (2023) Contrast set mining for actionable insights into associations between sleep and glucose in a normoglycemic population.