Ting Dang
Senior Lecturer, The University of Melbourne
ting.dang@unimelb.edu.au
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Mobile Health - Audio and Speech Processing
Deep Learning - Affective Computing - Time Series Modelling
CV
About Me
I am a Senior Lecturer at the University of Melbourne. Previously, I served as a Senior Research Scientist at Nokia Bell Labs in the UK, a Senior Research Associate at the University of Cambridge, and a Research Associate at the University of New South Wales (UNSW), Australia, where I also earned my Ph.D. My research primarily focuses on human-centered AI and sensing for health delivery. Specifically, I develop AI models that leverage audio signals (such as speech and breathing) and physiological signals (like PPG and EEG) through mobile and wearable sensing to detect and monitor health conditions. I am serving as the Editor for IEEE Pervasive Computing, an Area Chair for ICASSP, and a Senior PC for AAAI.
Research Interests
- Machine learning in mobile health: Pioneering the development of machine learning algorithms tailored for diverse health applications, aimed at enhancing the reliability and effectiveness of ML in screening, diagnosis, and monitoring.
- Speech and Audio Processing: Investigating advanced signal processing and machine learning techniques for speech and related applications.
- Time Series Modelling: Enhancing representation learning for time series in real-world challenges.
- Trustworthy Deep Learning (DL): Improving the interpretability and generalization of DL models for more reliable health outcome predictions.
- Wearable Sensing: Examining novel sensing opportunities for health monitoring using new forms of resource-constrained IoT wearable devices.
Opportunities
We are currently looking for PhD students to work on machine learning for health and wearable sensing. Scholarships are available for eligible candidates. We also welcome applications from China Scholarship Council (CSC) students. For more details, please refer to our Hiring page.
We also welcome visiting scholars to join our team if the research background aligns with our focus.
News
2025/03: Two US patents are granted.
2025/02: One paper titled 'SQUIREDL: Sparse Sequence-to-Sequence Uncertainty Estimation in Evidential Deep Learning' is accepted by ACM Transactions on Computing for Healthcare.
2024/12: Two papers are accepted by IEEE ICASSP 2025.
2024/12: One US patent titled 'Cancellation of Ultrasonic Signals' is granted.
2024/11: One paper titled 'Multimodal Large Language Models in Human-centered Health: Practical Insights' is accepted by IEEE Pervasive Computing.
2024/10: Served as the Area Chair for ICASSP 2024.
2024/09:One paper titled 'TinyTTA: Efficient Test-time Adaptation via Early-exit Ensembles on Edge Devices' is accepted by NeurIPS 2024.
2024/09: One paper titled 'Efficient and Personalized Mobile Health Event Prediction via Small Language Models' is accepted by MobiCom Workshop EIFCom 2024.
2024/08: Call for Papers: Workshop on Multi-Biological Sensing Data for Speech and Language Deterioration Prediction ACM MM Asia.
2024/07: One paper titled 'StatioCL: Contrastive Learning for Time Series via Non-Stationary and Temporal Contrast' is accepted by CIKM 2024.
2024/07: One paper titled 'Emotion Recognition Systems Must Embrace Ambiguity' is accepted by ACII Satellite Workshop EASE 2024.
2024/07: One paper titled 'Exploring Large-Scale Language Models to Evaluate EEG-Based Multimodal Data for Mental Health' is accepted by UbiComp Workshop WellComp 2024.
2024/07: Served as the PC for the EASE Satellite Workshop at ACII 2024.
2024/07: Invited talk at University of New South Wales and University of Sydney.
2024/06: One paper titled 'Dual-Constrained Dynamical Neural ODEs for Ambiguity-aware Continuous Emotion Prediction' is accepted by Interspeech 2024.
2024/05: Joined the Editorial Board of IEEE Pervasive Computing.
2024/04: Co-organizing WellComp workshop at UbiComp 2024.
2024/03: Co-charing industry perspectives at MobileHCI 2024.
2024/03: One paper titled "An evaluation of heart rate monitoring with in-ear microphones under motion" is accepted by Pervasive and Mobile Computing.
2024/01: One paper titled "Uncertainty-aware Health Diagnostics via Class-balanced Evidential Deep Learning" is accepted by IEEE Journal of Biomedical and Health Informatics (J-BHI).
2023/10: One review paper titled "Human-centered AI for mobile health sensing: challenges and opportunities" is accepted by Royal Society Open Science!
2023/09: Best paper award from ACII 2023!
2023: Papers accepted by INTERSPEECH, ICASSP, ACII, KDD, IMWUT, JMIR, Speech Communication, etc!
Experience
- Senior Lecturer, 2024-Present
University of Melbourne, Australia - Senior Research Scientist, 2023-2024
Nokia Bell Labs, UK - Senior Research Associate, 2021-2023
University of Cambridge, UK - Research Associate, 2018-2020
University of New South Wales, Australia
Education
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PhD, 2014-2018University of New South Wales, Australia
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MEng, 2012-2015Northwestern Polytechnical University, China
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BEng, 2008-2012Northwestern Polytechnical University, China