Lin Wang

Dr. Lin Wang is a Lecturer in Applied Data Science and Signal Processing at Queen Mary University of London (QMUL), affiliated with the School of Electronic Engineering and Computer Science. He leads the Machine Listening Lab and is a member of the Centre for Multimodal AI, Centre for Intelligent Sensing (CIS), and Institute of Coding (IoC). His research focuses on audio-visual signal processing, robotic perception, and machine learning, with applications in healthcare, drone-based sensing, and human activity recognition. Dr. Wang holds a PhD from Dalian University of Technology and has held postdoctoral positions at QMUL, the University of Sussex, and the Alexander von Humboldt Foundation in Germany.

Education and Roles:

• PhD in Signal Processing, Dalian University of Technology (2010)
• Postdoc at Queen Mary University of London (2014–2017)
• Postdoc at University of Sussex (2017–2018)
• Alexander von Humboldt Fellow at University of Oldenburg (2011–2013)
• Fellow of the Higher Education Academy (UK)

Research Interests:

• Audio-visual signal processing for drones and wearable devices
• Machine listening and robotic perception
• Machine learning for healthcare and environmental monitoring
• Human activity recognition using multimodal sensors

Awards and Grants:

• Early Career Champion on AI&Data, UK Acoustics Network
• Outstanding Article Award, Frontiers in Computer Science (2022)
• EPSRC grant: Bioacoustic Monitoring Using Drones (£46,821, 2022–2023)
• Innovate UK grant: Music Source Separation (£48,144, 2024–2025)

Teaching and Students:

Dr. Wang teaches Applied Statistics, Website Design and Authoring, and Machine Learning for Visual Data Analysis. He supervises PhD students including Ashish Alex (speech separation), Michael Clayton (drone audition), and Dmitrii Mukhutdinov (audio-visual processing).

Labs and Teams:

He co-leads the Machine Listening Lab and is part of the Centre for Multimodal AI, focusing on interdisciplinary projects in robotics, acoustics, and AI.