Ting Dang
Scholar

Ting Dang

Google Scholar ID: Sb1Pj4sAAAAJ
Senior Lecturer in AI for Health, The University of Melbourne
Mobile HealthAudio ProcessingAffective ComputingTime Series ModellingWearable Sensing
Citations & Impact
All-time
Citations
842
 
H-index
14
 
i10-index
23
 
Publications
20
 
Co-authors
17
list available
Resume (English only)
Academic Achievements
  • Published multiple papers in top conferences and journals such as NeurIPS, SenSys, IEEE Transactions on Affective Computing, and ACM Transactions on Computing for Healthcare; granted several US patents; serves as an Editor for IEEE Pervasive Computing and Elsevier Computer Speech and Language, an Area Chair for ICASSP, and a Senior PC for AAAI.
Research Experience
  • Served as a Senior Research Scientist at Nokia Bell Labs, a Senior Research Associate at the University of Cambridge, and a Research Associate at the University of New South Wales (UNSW).
Education
  • Earned a Ph.D. from the University of New South Wales (UNSW), Australia, and served as a Senior Research Scientist at Nokia Bell Labs in the UK and a Senior Research Associate at the University of Cambridge.
Background
  • A Senior Lecturer at the University of Melbourne, with research interests in mobile health, speech and audio processing, time series modeling, trustworthy deep learning, and wearable sensing. Focuses on developing AI models that leverage audio (such as speech and breathing) and physiological signals (like PPG and EEG) through mobile and wearable sensing to detect and monitor health conditions.
Miscellany
  • Welcomes applications from China Scholarship Council (CSC) students and visiting scholars to join the team if the research background aligns with the focus.