From October 2019: I have joined as Chair of Human Machine Intelligence at Cranfield University
[New Personal Website] [Official Uni Website]
My Warwick webpage will no longer be regularly maintained.
Head of Data Embedded Networks (DEN) Lab
Alan Turing Institute - Visiting Fellow
University of Cambridge: MEng, MA, PhD
SMIEEE, FRSS, FHEA
Editor: IEEE TMBMC, IEEE Access
Chair: IEEE ICC 2020 - Big Data Track
F329, School of Engineering, University of Warwick,
West Midlands, CV4 7AL
weisi.guo [AT] warwick.ac.uk
wguo [AT] turing.ac.uk, weisi.guo [AT] cranfield.ac.uk
Phone: 01234 758304
Weisi graduated from the University of Cambridge with MEng (2005), MA, Ph.D. degrees (2011). His research is underpinned by fundamental breakthroughs in network science, communication theory, and signal processing. He is PI to £4.1m funding, has published over 180 papers, and is an IET Innovation Award winner and been twice a runner-up in the Bell Labs Prize. He is currently editor on 3 IEEE & 1 Royal Society journals and track chair for IEEE ICC 2020 - Big Data.
In his private life, his experiences include working in an UNHCR refugee camp in Africa, being part of the victorious Cambridge Varsity archery team, solo climbed two of the highest sub-continent peaks, and served as badminton captains at both Cambridge and Sheffield. He has also completed the full London (2007) and full Sahara (2010) marathons.
Data-Embedded-Networks (DEN) Lab
Research Vision: as human society is becoming increasingly inter-connected, it faces serious challenges and our connected resilience is not well understood. At the heart of my research is the attempt to discover and model latent relationships between connectivity, complexity, and resilience for coupled social-physical systems.
Track-Record: Since 2012, I have been building an award-winning group (DEN Lab). It has members in the Alan Turing Institute, the global alliance for urban science (CUSP), and the EPSRC Doctoral Training Centre in Urban Science (WISC).
My team members work with a variety of commercial and government bodies and contribute scientific evidence to expand the impact of our research.
Research Areas: expertise, latest key papers, team members, and selected active grants are given below:
- Machine Learning in 5G Networks: reinforcement learning1a,1b, consumer data2a,2b,2c, peer-peer networks3
- Dynamics of Complex Networks: resilience4, graph signal processing5, critical infrastructure6a,6b,6c, urban analytics7a,7b, conflict modelling8a,8b,8c,8d
- Molecular Communications: signal propagation and detection9a,9b, experimentation10a,10b, network analysis11a, applications12a
Total grant value as PI: £4.1m
Total investigator value: £16.0m
- EPSRC: TAS-S, CI (PI for host), 2020-24, £3m
- EPSRC: CoTRE, PI, 2018-20, £240k
- H2020: Green AI for 5G, PI, 2020-22, €225k
- InnovateUK: FF, CI, 2020-22, £4.7m
- H2020: DAWN4IoE - Data Aware Wireless Network for Internet of Everything, 778305, PI & Coordinator, Link, 2017-21, €270k (Total: €1.1M)
- H2020: Mo-IoNT - Molecular Internet-of-Nano-Things, 792799, PI, Link, 2018-20, €195k
- Alan Turing Institute (DCE): CHANCE - Coupled Human And Natural Critical Ecosystems, PI, Link, 2018-20, £290k
- USAF: MolSig - Molecular Signalling in Complex Environments, FA9550-17-1-0056, PI, Link, 2017-21, $166k
- USAF: Social Influence in Dynamical Networks. PI, 2020-23, $224k
- EPSRC (DTG): Patterns of City Formation and Development, EP/N509796/1 (2109287), Supervisor, Link, 2018-22
[Nature Commentary]: Discussing model & theory development as an essential complement to AI's efforts to reduce conflict [Link].
[BBC Interview]: BBC interview on how AI can help conflict prevention [Link].
[FT Coverage & Turing Impact] Coverage on UN and Turing efforts to Digitise peace building and conflict prediction [Link].
[News Coverage]: BBC Gordon Corera's Interview of my work with Sir Alan Wilson on conflict modelling using network science [Link].
[Conference Chair] Track Chair for "Big Data" for IEEE Flagship Conference: ICC 2020.
Oct [Journal] Sampling and Inference of Networked Dynamics using Log-Koopman Nonlinear Graph Fourier Transform accepted to IEEE Transactions on Signal Processing
Sep [Grants] Multi-million grants awarded by UKRI from EPSRC (TAS-S: £3.7m) and InnovateUK (FF: £4.7m).
Aug [Journal] 2 Papers: Green Deep Reinforcement Learning for RRM, and Trustworthy 6G for Mass Autonomy to appear in IEEE Vehicular Technology Magazine
July [Journal] Deep Learning for Linear Inverse Problems to appear in Elsevier Signal Processing