group

Our group consists of a mix of PhD students, research assistants and associates as well as visiting students, working in the areas of optimization and machine learning, distributed intelligent systems, graph and network science, and the statistical foundations of learning. Broadly speaking, the group skews theoretical, but some members are working on translation to applications in communications and signal processing.

We are based in the Electrical and Electronic Engineering Building at Imperial’s South Kensington campus.

current members

Jie Peng
Visiting PhD Student (Since 10/2024)
Home university: Sun Yat-sen University

Research topics: Robustness in distributed optimization

[Google Scholar]
[Sample Paper]

Zirui Wan
PhD Student (Since 09/2024)

Research topics: Distributed optimization, learning over graphs and machine learning

[Github]

Dongyan Sui
Visiting PhD Student (Since 09/2024)
Home university: Fudan University

Research topics: Filtering algorithms in online environments and decentralized inference problems in multi-agent networks, non-Bayesian social learning models

[Google Scholar]
[Sample Paper]

Jinkun Zhang
Post-Doctoral Research Associate (Since 07/2024, joint with Kin K. Leung)

Research topics: Network Resource Allocation, Information-Centric Networking, Networking for ML/AI, Edge Computing, Decentralized Optimization, Network Economics

[Google Scholar]

Aaron Fainman
PhD Student (Since 01/2024)

Research topics: Consensus problems in networked systems, algorithms for decentralized optimization, and the applications of signal processing to optimization

[Google Scholar] [LinkedIn]
[Sample Paper]

former members

Muyun Li
Pre-Doctoral Research Assistant (11/2024-03/2025)

Research topics: Combination policies for decentralized deep learning

[LinkedIn]
[Sample Paper]

Sangwoo Park
Post-Doctoral Research Associate (07/2024-03/2025)
Next position: Research Fellow at King’s College London

Research topics: Multi-objective optimization, distributed optimization, statistical machine learning

[Google Scholar]
[Sample Paper]

Christian Schroth
Visiting PhD Student (02/2023-04/2023)
Home University: Technische Universität Darmstadt

Research topics: Robust signal processing, distributed learning, robust clustering

[LinkedIn] [Google Scholar]
[Sample Paper]