From October 2019: I have joined as Chair of Human Machine Intelligence at Cranfield University
[New Website] My Warwick webpage will no longer be regularly maintained.
Head of Data Embedded Networks (DEN) Lab
Alan Turing Institute - Turing Fellow
University of Cambridge: MEng, MA, PhD
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] cantab.net
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 £2.4m funding, has published over 130 papers, and is an IET Innovation Award winner and been twice a runner-up in the Bell Labs Prize. He is currently editor on 2 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
- Research Fellows (6): A. Pagani, W. Qi, G. Moutsinas, L. Lin, N. Tkachenko, S. Chotvijt
- Ph.D. Students (12): G. Mosquera, A. Alturki, M. Abbaszadeh, A. Sonea, Y. Liu, Z. Wei, M. Mazzamurro, J. Wang, M. Zou, C. Li, S. Sun, P. Strong
- External Ph.D. Students (2): L. Zha (QMUL), T. Sajjad (York)
Full details of research and Ph.D. & Post-Doc opportunities at DEN Lab can be found here.
Selected Active Projects
Total grant value as PI: £2.4m (incl. 15 Post-Doc Years)
- EPSRC: CoTRE - Complexity Twin for Resilient Ecosystems, EP/R041725/1, PI, Link, 2018-20, £238k
- 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
- InnovateUK: ODIN - Online Data Integrated Network, KTP10734, PI, Link, 2018-2020, £199k
- InnovateUK: COCKPIT5G - Crowd Blackspot Intelligence for 5G Rollout, 29634, PI, Link, 2019-20, £104k (Total: £210k)
- DSTL (DASA): UNSURE - Unstable Behaviour on the Edge of Communities, ACC6005162, PI, 2019, £100k
- Alan Turing Institute (D&S): GUARD - Global Urban Analytics for Resilient Defence, PI, Link, 2017-19, £250k
- 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
- 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].
[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] "CSI-Independent Non-Linear Signal Detection in Molecular Communications" accepted to IEEE Transactions on Signal Processing.
Oct [Journal] "Optimal Sampling for Dynamic Complex Networks with Graph-Bandlimited Initialization" accepted to IEEE Access.
Oct [Conference] "Conflict Detection in Linguistically Diverse Online Social Networks: a Russia-Ukraine Case Study" accepted to ACM MEDES.
Sep [Journal] "Optimal Sampling of Water Distribution Network Dynamics using Graph Fourier Transform" accepted to IEEE Transactions Network Science and Engineering.
Sep [Journal] "Sequential Bayesian Detection of Spike Activities from Fluorescence Observations" accepted to IEEE Transactions MBMC.
Sep [Journal] "Deep Learning for Bridge Load Capacity Estimation in Post-Disaster and -Conflict Zones" accepted to Royal Society Open Science.