Vincent Leung

Vincent Leung is a Postdoctoral Research Associate in the Communications and Signal Processing Group at the Department of Electrical and Electronic Engineering, Imperial College London. He holds a PhD (2023) and a first-class MEng (2018) in Electrical and Electronic Engineering from Imperial College London, supported by the President's PhD Scholarship. His research focuses on deep learning for 3D reconstruction of dynamic protein complexes from Cryo-EM data and signal processing methodologies such as FRI signal reconstruction. He is affiliated with the Faculty of Engineering and actively contributes to interdisciplinary projects at the intersection of AI and biomedical engineering.

Education:

• PhD in Electrical and Electronic Engineering, Imperial College London (2023)
• MEng (First Class) in Electrical and Electronic Engineering, Imperial College London (2018)

Research Interests: His work combines deep learning, signal processing, and neuroscience to develop innovative solutions for computational imaging and biomedical data analysis. Key areas include FRI signal reconstruction using autoencoders, spiking neural networks, and heterogeneous neural architectures for robust learning. Recent projects involve advancing Cryo-EM data analysis through deep neural networks.

Grants & Collaborations:

• Recipient of the BBSRC Grant (2024): 'Deep Learning for 3-D Reconstruction of Heterogeneous Molecular Structures from Cryo-EM Data'
• Collaborations with Prof. Pier Luigi Dragotti and international researchers in signal processing and AI

Publications: His work spans 5+ peer-reviewed articles in top-tier journals like IEEE Transactions on Signal Processing, focusing on signal reconstruction, spiking neural networks, and FRI methodologies. Notable contributions include learning-based FRI reconstruction frameworks and neural heterogeneity studies.