I am a Lecturer in Applied Data Science and Signal Processing at QMUL. I am a member of the Centre for Digital Music (C4DM) and Centre for Intelligent Sensing (CIS), a member of Institute of Coding (IoC), and an associate member of the Machine Listening Lab, and an associate member of the Centre for Advanced Robotics (ARQ). Previously I was a Postdoc at QMUL (2014-17) and a Postdoc at University of Sussex (2017-18), and was Alexander von Humboldt Fellow at University of Oldenburg Germany (2011-13). I obtained my PhD in Signal Processing at Dalian University of Technology China (2010).
I am FHEA (Fellow of Higher Education Academy, UK). I am Associate Editor of IEEE ACCESS, and Associate Editor of IEEE Sensors Journal. I am Early Career Champion on AI&Data of UK Acoustics Network. I am IEEE Audio and Acoustic Signal Processing Technical Committee (AASP TC) Member.
My research focuses on audio and visual signal processing, robotic perception and machine learning. I developed microphone array techniques for sound enhancement, source localizaiton and blind source separtation. I developed audio-visual signal processing techniques for acoustic sensing from flying robots (mini-drones). I applied machine learning techniques to human activity and context recogntiion from wearable sensors (motion, GPS, sound and image).
Visit my Google Scholar Profile (citations 1600+, h-index 23)
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PhD POSITION OPENING (please contact me in advance)
09/2023: PeerJ paper accepted on topic segmentation
08/2023: 1 paper accepted at AES 155th Convention on spatial audio
07/2023: 1 paper accepted at Ubicomp 2023 HASCA on the SHL challenge
07/2023: 1 paper accepted at RANLP 2023 on topic segmentation
06/2023: 1 paper accepted at ACII 2023 on audio-visual emotion recognition
06/2023: EHJ-Digital Health paper accepted on heart disease detection from ECG data
05/2023: Speech Communication paper accepted on data augmented speech separation
04/2023: IEEE Sensor paper accepted on hardware design for drone audition
03/2023: 1 paper accepted at ICMR 2023 on multimodal topic segmentation (acceptance rate 15%)
03/2023: IEEE Access paper accepted on single-channel deep learning models for speech enhancement on drones
09/2022: IEEE Sensor paper accepted on deep learning based acoustic sensing from flying drones
05/2022: 1 paper accepted at Quiet Drones 2022
11/2021: 1 chatper accepted at Springer Book "Generative Adversarial Learning"
08/2021: Survey paper on three year SHL 2018-2020 accepted at Frontiers in Computer Science
07/2021: 1 paper accepted at Ubicomp 2021 HASCA on the SHL challenge
07/2021: 1 paper accepted at MMSP 2021 on deep speech separation
08/2020: IEEE TASLP paper accepted on blind source separation and ego-noise reduction
08/2020: IEEE TETCI paper accepted on deep learning based ego-noise reduction
07/2020: 1 paper accepted at Ubicomp 2020 HASCA on the SHL challenge
04/2020: IEEE Sensor paper accepted on multimodal smartphone sensing (motion + audio + visual)
07/2019: 1 paper accepted at Ubicomp 2019 HASCA on the SHL challenge
06/2019: 1 paper accepted at IROS 2019 on drone sound dataset
05/2019: 2 chatpers accepted at Springer Book "Human Activity Sensing"
03/2019: 1 paper accepted at ABC 2019 on vision based transportation mode recognition
02/2019: ICASSP paper accepted on sound-based transportation mode recognition
01/2019: IEEE ACCESS paper accepted on SHL baseline performance
12/2018: 1 EU patent filed on smartphone sensing
07/2018: IEEE ACCESS paper accepted on SHL dataset
07/2018: 3 papers accepted at Ubicomp 2018 on human activity recognition
06/2018: 1 paper accepted at IROS 2018 on acoustic source tracking on drones
04/2018: IEEE TASLP paper accepted on pseudo-determined blind source separation
03/2018: IEEE Sensor paper accepted on acoustic sensing on drones
06/2023: Chairing session "Audio for Multimedia and Multimodal Processing" at ICASSP 2023
03/2023: Talk at The Art of Being an Acoustician
03/2023: Talk on drone audition at DERI Seminar
12/2022: Guest editing Special Issue "Deep Learning Based Speech Enhancement Technology" at Applied Sciences
11/2022: Elected as IEEE AASP Technical Committee member
08/2022: Attending ISWC TPC meeting
07/2022: Attending UKAN+ Annual Meeting at Manchester
06/2022: Attending Quiet Drones 2022
01/2022: Outstanding Article Award by Fronteris in Computer Science
12/2021: Appointed as Associate Editor of IEEE Sensors Journal
12/2021: Chairing the CIS Winter School 2021
12/2021: Chairing the first UKAN+ Connecting SIGs Event (Virtual Event)
09/2021: Talk on SHL Challenge 2021 at Ubicomp 2021(Virtual Event)
09/2021: Chairing the "Acoustic Sensing" and "Privacy" session at UbiComp 2021
08/2021: Awarded the HEA Fellowship
04/2021: Kick-off meeting of the SHL Challenge 2021 (to be held at Ubicomp 2021, Mexico)
03/2021: Talk at UK Acoustic Network (UKAN) Webinar
09/2020: Talk on SHL Challenge 2020 at Ubicomp 2020, Mexico (Virtual Event)
09/2020: Chairing the Multimodal AI session of the CIS Summer School 2020
03/2020: Kick-off meeting of the SHL Challenge 2020 (to be held at Ubicomp 2020, Mexico)
11/2019: Talk at 2nd Bristol Drone Cinematography workshop at Bristol University
11/2019: Talk at IROS 2019 at Macau China
09/2019: Talk on SHL Challenge 2019 at Ubicomp 2019, London
09/2019: Chairing the Sound Sensing & AI session and the panel discussion of the CIS Summer School 2019
05/2019: Attending ICASSP 2019 at Brighton
04/2019: Kick-off meeting of the SHL Challenge 2019 (to be held at Ubicomp 2019, London)
03/2019: Attending IoC Annual Conference 2019 at Manchester
01/2019: Talk at Yonsei-QMUL Workshop, at QMUL
10/2018: Talk on SHL Challenge at Ubicomp 2018, Singapore>
10/2018: Talk at IROS 2018 at Madrid
10/2018: Appointed as Associate Editor of IEEE ACCESS
09/2018: Appointed as Lecturer at QMUL
10/2020: Training and Tesing dataset for the SHL recognition challenge 2020 available
11/2019: AVQ (the first audio-visual sensing dataset from a multi-rotor drone) is released
10/2019: Training and Tesing dataset for the SHL recognition challenge 2019 available
12/2018: SHL dataset partly available
10/2018: Training and Tesing dataset for the SHL recognition challenge available