Scholar
Huy Phan
Google Scholar ID: RegoACcAAAAJ
Meta
Citations & Impact
Citations
5,150
H-index
34
i10-index
76
Publications
20
Co-authors
61
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Two papers accepted to ICML 2025; Two papers accepted to IEEE ICASSP 2025; Two papers accepted to IEEE ICASSP 2024; L-SeqSleepNet paper accepted for publication in IEEE Journal of Biomedical and Health Informatics (JBHI); Three papers accepted to IEEE ICASSP 2023; Two papers accepted to IEEE ICASSP 2022; Elected as member in the Technical Area Committee (TAC) in Biomedical Image & Signal Analytics (BISA), the European Association for Signal Processing (EURASIP), term 2022-2024; Appointed Turing Fellow by the Alan Turing Institute in 2021/2022; XSleepNet paper accepted in IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI); SeqSleepNet paper awarded Benelux’s IEEE-EMBS Best Paper Award 2019-20; IEEE-EMBS Best Paper Award 2019-20.
Research Experience
- Currently a Research Scientist at Reality Labs @ Meta, working on AI modeling for surface EMG signals. Previously, he was a Sr. Research Scientist at Amazon Alexa/AGI, working on foundation models for audio/music. He was a Lecturer (Assistant Professor) in AI at the School of Electronic Engineering and Computer Science, Queen Mary University of London (UK) and a Turing Fellow at the Alan Turing Institute (UK). At QMUL, he co-led the Machine Listening Lab at the Centre for Digital Music. Before that, he was a Lecturer in Computing at the School of Computing, University of Kent (UK) and a postdoctoral researcher in the CIBIM lab at the Department of Engineering Science, University of Oxford.
Education
- PhD in Computer Science from the Institute for Signal Processing, University of Lübeck, under the supervision of Prof. Alfred Mertins. His PhD thesis on audio event detection was awarded the Bernd Fischer Award for the best PhD thesis in 2018.
Background
- Research interests include machine learning/deep learning, signal processing, particularly in speech/audio processing, biosignal analysis, and healthcare applications.
Miscellany
- Resides in Paris, France & London, UK. Links to LinkedIn, Github, Google Scholar, ORCID are provided on his personal website.
