Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
GuessKT: Improving Knowledge Tracing via Considering Guess Behaviors
Published in ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024
We propose GuessKT, a knowledge tracing model that explicitly models students’ guess behaviors to improve the reliability of learning feedback and enhance prediction accuracy across multiple datasets.
Advancing Fetal Surveillance with Physiological Sensing: Detecting Hypoxia in Fetal Sheep
Published in IEEE Sensors 2024, 2024
Using fetal EEG, ECG, EMG and blood pressure signals in a preclinical sheep model, we develop machine learning methods to detect hypoxia–ischemia during labour-like umbilical cord occlusion.
Fair Knowledge Tracing in Second Language Acquisition
Published in arXiv preprint, 2024
We study fairness in knowledge tracing for second language acquisition, proposing methods to improve predictive performance while mitigating biases across learner subgroups.
Fetal Sleep: A Cross-Species Review of Physiology, Measurement, and Classification
Published in Sleep, 2025
A comprehensive review of fetal sleep physiology, measurement modalities and state classification across humans, sheep and other preclinical models, highlighting implications for neurodevelopment and monitoring.
Contrastive Graph Auto-Encoder for Graph Embedding
Published in Neural Networks, 2025
We propose a contrastive graph auto-encoder that learns high-quality node embeddings via joint reconstruction and contrastive objectives, achieving strong performance on graph representation learning benchmarks.
FetalSleepNet: A Transfer Learning Framework with Spectral Equalisation Domain Adaptation for Fetal Sleep Stage Classification
Published in IEEE Journal of Biomedical and Health Informatics, 2026
FetalSleepNet transfers adult sleep EEG knowledge to fetal sheep EEG using spectral equalisation and domain adaptation, improving cross-species fetal sleep stage classification.
talks
Fetal Sleep State Classification Using Deep Learning (Poster Rapid Fire)
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Presented at the IEEE BHI 2025 Poster Rapid Fire session.
This rapid-fire oral presentation highlighted the deep-learning pipeline for fetal sleep state classification using multimodal physiological signals.
Fetal Sleep State Classification Using Deep Learning (Poster Session A)
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Poster Session A at IEEE BHI 2025, presenting the full workflow and results of fetal sleep state classification based on multimodal physiology.
Fetal Sleep State Classification Using Deep Learning (Poster Session B)
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Poster Session B at IEEE BHI 2025, showcasing detailed model comparisons and feature analysis for fetal REM/Non-REM/Intermediate sleep staging.
Fetal Sleep State Classification Using Deep Learning (NextGen Scholar Presentation)
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Selected as an IEEE BHI 2025 NSF-EMBS-Google NextGen Scholar.
A 3-minute lightning talk summarizing innovations in fetal sleep staging and domain adaptation across species.
teaching
FIT5149: Applied Data Analysis
Postgraduate Course (Tutor), Faculty of Information Technology, Monash University, 2026
Served as a Teaching Assistant (Tutor) for this core postgraduate unit, which equips future data scientists and business analysts with advanced analytical and data modeling skills.