Huy Phan

Huy Phan

Machine learning, signal processing, audio/speech, biomedical

Huy Phan


I am a Sr. Research Scientist at Amazon, AGI. Before joining Amazon, I 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, I co-led the Machine Listening Lab at the Centre for Digital Music. Before that, I 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.

I did PhD (summa cum laude) in Computer Science at the Institute for Signal Processing, University of Lübeck (Germany) under the supervision of Prof. Alfred Mertins. My PhD thesis on audio event detection was awarded the Bernd Fischer Award for the best PhD thesis in 2018. In 2021, I was awarded IEEE-EMBS Best Paper Award 2019-20.

I investigate topics in the fields of machine learning/deep learning and signal processing. I am particularly interested in speech/audio processing, biosignal analysis, and healthcare applications.


News

  • 13 12 2023: (New) Two papers accepted to IEEE ICASSP 2024.
  • 3 August 2023: (New) L-SeqSleepNet paper accepted for publication in IEEE Journal of Biomedical and Health Informatics (JBHI)
  • 16 Feb 2023: (New) Three papers accepted to IEEE ICASSP 2023.
  • 21 Jan 2022: (New) Two papers accepted to IEEE ICASSP 2022.
  • 17 Dec 2021: (New) I have been 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.
  • 18 Aug 2021: (New) I have been appointed Turing Fellow by the Alan Turing Institute in 2021/2022.
  • 25 Mar 2021: (New) XSleepNet paper accepted in IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI)
  • 29 Jan 2021: (New) SeqSleepNet paper awarded Benelux’s IEEE-EMBS Best Paper Award 2019-20