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Dr Weisi Guo


Associate Professor

turingHead of Data Embedded Networks (DEN) Lab
Alan Turing Institute - Turing Fellow & Group Leader
University of Cambridge: MEng, MA, PhD

CUSP

NYU_newCo-Lead for Research Theme on Cities
New York University (NYU) - CUSP
Warwick Institute for Science of Cities (EPSRC CDT)

F329, School of Engineering, University of Warwick,
West Midlands, CV4 7AL
weisi.guo [AT] warwick.ac.uk
wguo [AT] turing.ac.uk
Phone: 024 765 22223

[CV] [Google Scholar] [ORCID] [Publons] [ResearchGate]


Background

meWeisi is an innovative researcher and engineering professional, with over 10 years experience in both academia and industry. He graduated from the University of Cambridge with MEng (2005), MA, Ph.D. degrees (2011). His applied research is underpinned by fundamental breakthroughs in network science, communication theory, and signal processing. He has won numerous international awards and is PI to £1.7m funding to host institution, has published over 100 papers, holds an IET Innovation Award and been twice a runner-up in the Bell Labs Prize.

In his private life, his experiences include working in UNHCR refugee camps in Africa, being part of the victorious Cambridge Varsity archery team (2002), solo climbed two of the highest sub-continent peaks, and served as badminton captains at Cambridge and Sheffield. He has also completed the full London (2007) and full Sahara (2010) marathons.


Data-Embedded-Networks (DEN) Lab

UK_InternetResearch 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:

  1. Machine Learning in 5G Networks: reinforcement learning1, data-driven deployment2, multi-hop networks3
  2. Dynamics of Complex Networks: resilience4, transport5, urban analytics6, conflict prediction7
  3. Molecular Communications: signal processing8, experimentation9, applications10

Current Team

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 to host: £1.7m (incl. 13+ Post-Doc Years)

  • EPSRC: CoTRE - Complexity Twin for Resilient Ecosystems, PI, Link, 2018-20, £238k
  • H2020: DAWN4IoE - Data Aware Wireless Network for IoE, Coordinator, Link, 2017-21, €270k (Total: €1.1M)
  • H2020: Mo-IoNT - Molecular Internet-of-Nano-Things, Link, 2018-20, €195k
  • InnovateUK: ODIN - Online Data Integrated Network, PI, Link, 2017-2020, £199k
  • Turing: GUARD - Global Urban Analytics for Resilient Defence, PI, Link, 2017-19, £250k
  • Turing: CHANCE - Coupled Human And Natural Critical Ecosystems, PI, Link, 2017-20, £290k
  • USAF: MolSig - Molecular Signalling in Complex Environments, PI, Link, 2017-21, $166k
Sticky News:

ME[News Coverage]: BBC Gordon Corera's Interview of my work with Sir Alan Wilson on global conflict prediction using network science [Link].


Recent News:

Oct [Turing Talk] Giving a seminar on networked resilience [Link].

Sep [Invited Talk] Giving a talk at the Royal Statistical Society Annual Conference on Predicting Resilience in Critical Networked Infrastructures [Link].

Sep [Conferences] 3 Molecular Communication Papers/Talks being presented at ACM Nanocom, IEEE Asilomar, and European Fluid Mechanics Conference (EFMC).

Aug [Preprint] Node-Level Resilience Loss in Dynamic Complex Networks, [arXiv].

Aug [Journal] On the Impact of Transposition Errors in Diffusion-Based Channels, to appear in IEEE Transactions on Communications.