Have the courage to follow your heart and intuition. They somehow already know what you truly want to become. Everything else is secondary.
Steve Jobs’ 2005 Stanford Talk
-- Steve Jobs
About Me
I am currently a PhD student at the University College London (UCL) under the supervision of Prof Nadia Berthouze, Prof Youngjun Cho and Prof Kevin Chetty. I focus on developing machine learning algorithms for novel sensing systems in healthcare. I am investigating multimodal machine learning to allow the model to automatically learn communicative features from multisensory data without human intervention and the need for label-hungary labelled data towards robust performances under various real-life scenarios. I am currently developing a novel RF-fusion sensing system that can recognise and understand human body behaviours across various domains.
I also serve as a visiting scholar at Nokia Bell Labs after I did my PhD internship, where I worked on acoustic sensing in healthcare.
Prior to joining UCL, I studied Artificial Intelligence (MSc) under the supervision of Dr Valentin Radu and Electronics and Electrical Engineering (BEng), supervised by Prof Tughrul Arslan, at the University of Edinburgh.
Research Interests
- Multimodal Machine Learning
- Self-supervised Learning
- Generative AI
- Ubiquitious Computing
- Multisensory Systems
- Radar Systems
- Wireless Sensing
- Sensor-based Healthcare
- Location Tracking System
News
[May. 2024] I gave a talk at UCL EE Department regarding wireless sensing for healthcare.
[Apr. 2024] I passed my PhD upgrade viva!
[Nov. 2023] I served as an AC reviewer for IMWUT.
[Oct. 2023] I served as an AC reviewer for CHI’2024.
[Sept. 2023] Two Papers accepted at ACII 2023 My first-author paper on non-intrusive wireless signal based protective behaviour recognition has been accepted “Leveraging WiFi Sensing toward Automatic Recognition of Protective Behaviors”. See you MIT Media Lab, Cambridge, MA, USA. Link
[June. 2023] Research Internship at Nokia Bell Labs Cambridge. I started my PhD research internship at the prestigious Bell Labs at Cambridge this summer!
[May. 2023] I served as a PC member for ACII’2023.
[April. 2023] I passed my first-year viva regarding the topic of wireless human sensing!
[Sept. 2022] Invited Talk at HK PolyTechnic University. I give a talk at HK PolyTech, regarding the topic of “Machine-learning based Sensor-fusion Localization”. Link
[Aug. 2022] Paper accepted at IPIN, 2022. Work with Valentin Radu, “Leveraging Transfer Learning for Robust Multimodal Positioning Systems based on Smartphone Multisensory Data”. See you in Beijing, China.
[May. 2022] I joined the UCL Interaction Centre (UCLIC) for my PhD adventure!
[Apr. 2022] Paper accepted at MobiUK 2022. Work with Valentin Radu, “MMLoc+: A Transfer Learning based Multimodal Machine Learning Localization System for Dynamic Sensor Networks”. Link
[Jan. 2022] Paper published on IEEE. Work with Zhiqiang Wei and Valentin Radu, “MM-Loc: Cross-sensor Indoor Smartphone Location Tracking using Multimodal Deep Neural Networks”. Link
[Oct. 2021] Journal accepted at Sensors. Work with Zhiqiang Wei and Valentin Radu, “Sensor-fusion for Smartphone Location Tracking using Hybrid Multimodal Deep Neural Networks”. Link
[Sept. 2021] Paper accepted at IPIN, 2021. Work with Zhiqiang Wei and Valentin Radu, “MM-Loc: Cross-sensor Indoor Smartphone Location Tracking using Multimodal Deep Neural Networks”. See you in Lloret de Mar, Spain. Video
[Jul. 2019] Paper accepted at IPIN, 2019. Work with Valentin Radu, “Calibrating Recurrent Neural Networks on Smartphone Inertial Sensors for Location Tracking”. See you in Pisa, Italy. Link
[Aug. 2018] Paper accepted at MobiUK 2018. Work with Valentin Radu, “End-to-End Machine Learning for Smartphone-based Indoor Localisation and Tracking using Recurrent Neural Networks”. See you in Cambridge, UK. Link