Dr Huy Phan

Huy PhanPhD (University of Lübeck, Germany)

Research scientist

Amazon

pquochuy.github.io
Google Scholar LinkedIn

Research

machine learning, signal processing, audio/speech analysis, biosignal analysis, healthcare applications

Interests

I am a Lecturer (roughly equivalent to Assistant Professor) in Artificial Intelligence at the School of Electronic Engineering and Computer Science, Queen Mary University of London (UK). I am also a Turing Fellow at the Alan Turing Institute (UK) and an Academic Fellow at the Digital Environment Research Institute, QMUL in 2021/2022. I co-lead the Machine Listening Lab at the Centre for Digital Music, QMUL. Before I was a Lecturer 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 (UK), working with Prof. Maarten De Vos. I obtained my PhD (Dr.-Ing. in German system) with summa cum laude in the Institute for Signal Processing, University of Lübeck (Germany) under the supervision of Prof. Alfred Mertins. I received the Bernd Fischer Award for the best PhD thesis from the University of Lübeck. In 2021, I was awarded Benelux’s 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 analysis, biosignal analysis, and healthcare applications.

Publications

Publications of specific relevance to Advanced Robotics

2022

Phan H, Mikkelsen KB, Chen O, Koch P, Mertins A and De Vos M (2022). SleepTransformer: Automatic Sleep Staging with Interpretability and Uncertainty Quantification. IEEE Trans Biomed Eng  vol. PP, 10.1109/TBME.2022.3147187

2021

Autthasan P, Chaisaen R, Sudhawiyangkul T, Kiatthaveephong S, Rangpong P, Dilokthanakul N, Bhakdisongkhram G, Phan H, Guan C and Wilaiprasitporn T (2021). MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification. IEEE Transactions on Biomedical Engineering  vol. PP, 10.1109/TBME.2021.3137184
Pham L, Phan H, Schindler A, King R, Mertins A and McLoughlin I (2021). Inception-Based Network and Multi-Spectrogram Ensemble Applied To Predict Respiratory Anomalies and Lung Diseases. Annu Int Conf IEEE Eng Med Biol Soc  vol. 2021, 253-256. 10.1109/EMBC46164.2021.9629857
Koch P, Mohammad-Zadeh K, Maass M, Dreier M, Thomsen O, Parbs TJ, Phan H and Mertins A (2021). sEMG-Based Hand Movement Regression by Prediction of Joint Angles With Recurrent Neural Networks. Annu Int Conf IEEE Eng Med Biol Soc  vol. 2021, 6519-6523. 10.1109/EMBC46164.2021.9630042
Mikkelsen K, Phan H, Rank ML, Hemmsen MC, De Vos M and Kidmose P (2021). Sleep monitoring using ear-centered setups: Investigating the influence from electrode configurations. IEEE Trans Biomed Eng  vol. PP, 10.1109/TBME.2021.3116274
Phan H, Chen OY, Tran MC, Koch P, Mertins A and De Vos M (2021). XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging. IEEE Trans Pattern Anal Mach Intell  vol. PP, 10.1109/TPAMI.2021.3070057
Pham LD, Phan H, Palaniappan R, Mertins A and Mcloughlin I (2021). CNN-MoE based framework for classification of respiratory anomalies and lung disease detection. IEEE Journal of Biomedical and Health Informatics  vol. PP, 10.1109/JBHI.2021.3064237
Chén OY, Cao H, Phan H, Nagels G, Reinen JM, Gou J, Qian T, Di J, Prince J, Cannon TD and de Vos M (2021). Identifying neural signatures mediating behavioral symptoms and psychosis onset: High-dimensional whole brain functional mediation analysis. Neuroimage  vol. 226, 10.1016/j.neuroimage.2020.117508
Nguyen TNT, Nguyen NK, Phan H, Pham L, Ooi K, Jones DL and Gan WS (2021). A general network architecture for sound event localization and detection using transfer learning and recurrent neural network. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings  vol. 2021-June, 935-939. 10.1109/ICASSP39728.2021.9414602
Phan H, Le Nguyen H, Chén OY, Pham L, Koch P, McLoughlin I and Mertins A (2021). Multi-view audio and music classification. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings  vol. 2021-June, 611-615. 10.1109/ICASSP39728.2021.9414551
Phan H, Nguyen HL, Chén OY, Koch P, Duong NQK, McLoughlin I and Mertins A (2021). Self-attention generative adversarial network for speech enhancement. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings  vol. 2021-June, 7103-7107. 10.1109/ICASSP39728.2021.9414265

2020

Pham L, Phan H, Nguyen T, Palaniappan R, Mertins A and McLoughlin I (2020). Robust acoustic scene classification using a multi-spectrogram encoder-decoder framework. Digital Signal Processing  102943-102943. 10.1016/j.dsp.2020.102943
Nguyen V-D, Phan H, Mansour A, Coatanhay A and Marsault T (2020). On the proof of recursive Vogler algorithm for multiple knife-edge diffraction. IEEE Transactions on Antennas and Propagation  1-1. 10.1109/tap.2020.3037748
Banluesombatkul N, Ouppaphan P, Leelaarporn P, Lakhan P, Chaitusaney B, Jaimchariya N, Chuangsuwanich E, Chen W, Phan H, Dilokthanakul N and Wilaiprasitporn T (2020). MetaSleepLearner: A Pilot Study on Fast Adaptation of Bio-signals-Based Sleep Stage Classifier to New Individual Subject Using Meta-Learning. IEEE Journal of Biomedical and Health Informatics  vol. PP, 10.1109/JBHI.2020.3037693
Phan H, McLoughlin IV, Pham L, Chen OY, Koch P, De Vos M and Mertins A (2020). Improving GANs for Speech Enhancement. IEEE Signal Processing Letters  vol. 27, 1700-1704. 10.1109/lsp.2020.3025020
Phan H, Chen OY, Koch P, Lu Z, McLoughlin I, Mertins A and De Vos M (2020). Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning. IEEE Transactions on Biomedical Engineering  vol. PP, 10.1109/TBME.2020.3020381
Phan H, Mikkelsen K, Chén OY, Koch P, Mertins A, Kidmose P and De Vos M (2020). Personalized automatic sleep staging with single-night data: a pilot study with KL-divergence regularization. Physiological Measurement  10.1088/1361-6579/ab921e
Chen O, Lipsmeier F, Phan H, Prince J, Taylor K, Gossens C, Lindemann M and De Vos M (2020). Building a Machine-learning Framework to Remotely Assess Parkinson's Disease Using Smartphones. IEEE Transactions on Biomedical Engineering  1-1. 10.1109/tbme.2020.2988942

2019

Chén OY, Cao H, Reinen JM, Qian T, Gou J, Phan H, De Vos M and Cannon TD (2019). Resting-state brain information flow predicts cognitive flexibility in humans. Scientific Reports  vol. 9, (1) 10.1038/s41598-019-40345-8
Phan H, Andreotti F, Cooray N, Chen OY and De Vos M (2019). SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging. IEEE Transactions on Neural Systems and Rehabilitation Engineering  vol. 27, (3) 400-410. 10.1109/tnsre.2019.2896659

2017

Phan H, Hertel L, Maass M, Koch P, Mazur R and Mertins A (2017). Improved Audio Scene Classification Based on Label-Tree Embeddings and Convolutional Neural Networks. IEEE/ACM Transactions on Audio, Speech, and Language Processing  vol. 25, (6) 1278-1290. 10.1109/taslp.2017.2690564

2014

Phan H, Maas M, Mazur R and Mertins A (2014). Random Regression Forests for Acoustic Event Detection and Classification. IEEE/ACM Transactions on Audio, Speech, and Language Processing  vol. 23, (1) 20-31. 10.1109/taslp.2014.2367814