Contact Professor Weisi Guo

Areas of expertise

  • Autonomous Systems
  • Communications Systems
  • Defence Info Systems
  • Safety, Resilience, Risk & Reliability
  • Systems Engineering
  • Water Science and Engineering


Professor Guo obtained MEng, MA, and PhD degrees from the University of Cambridge. Since 2012, he has built an award-winning team at the University of Warwick, where he remains an honorary professor. From fall 2019, he joined Cranfield University (QS world top50, ARWU world top50, REF 2) at the Centre for Autonomous and Cyber-Physical Systems. Professor Guo works closely with the new £65m Digital Aviation Research and Technology Centre (DARTeC). He am also the Director of the Smart Living Grand Challenge at Cranfield. He is currently also the course director of the Applied AI MSc.

Professor Guo has been PI on £4.7m and investigator on over £16m of research funding. ​He was a Turing Fellow at the Alan Turing Institute. He has published 100+ journal papers (total IF 500+) and 60+ IEEE/ACM conference papers, with 4000+ citations (h-index 28). This includes a Nature commentary, Nature communications, Nature Comp.Sci., a top 10% cited paper, and several cover issues in Royal Society and IEEE journals. He is also an IET Innovation Award winner and been a runner-up in the Bell Labs Prize three times. He currently serves as editor on 3 IEEE & 1 Royal Society journals, and is a Full Member of the EPSRC peer-review college.

Research opportunities

As human society is becoming increasingly inter-connected, human and machine intelligence is more closely interfaced than ever. Our networked society faces serious challenges from the human and natural world. My expertise is in connected intelligence, linking: data science, communication systems, and machine learning. 

My research designs data-driven solutions for socio-cyber-physical ecosystems. In particular, I am interested in how AI and information systems can be designed for specific challenging environments or tasks, whilst integrating human domain knowledge. 

I am currently:

  • Post-Docs: The group has a number of project-based openings throughout year. We welcome top-quality motivated fellowship applicants (RAEng, UKRI, H2020 MSCA), please send a detailed CV and discuss.
  • PhDs: The group usually takes in maximum 2 new PhD students a year. We restrict this number to ensure high quality supervision. This may expand to 4 as new faculty staff joins for 2022 in take.
  • Visiting Fellows/Students: The group only considers maximum 1 case a year with exceptional synergy and a clear research plan that benefits the group.
Enquiries without a CV and clear research plan that relate to my group's interests will likely not be responded upon due to the high volume of emails.

Current activities

The research areas are:

  • Cyber - Communication in Extreme Environments:
    Domains: Social Data-Driven 5G & 6G, UAV Communication, Secure Communication, Biological Communication
    Methods: Physical Layer Security, Intelligence Reflecting Surface, Molecular Encoding 
    Key Papers: "Robust Fuzzy Learning for Partially Overlapping Channels Allocation in UAV Communication Networks," IEEE Transactions on Mobile Computing, 2020 [Link]
    "Explainable Artificial Intelligence for 6G: Improving Trust between Human and Machine," IEEE Communications Magazine, 2020 [Link]
    "Mutual Information and Noise Distributions of Molecular Signals using Laser Induced Fluorescence," IEEE Globecom, 2019 [Link]
    Key Grants: [EPSRC] TAS-S Trustworthy Autonomous Systems-Security (EP/V026682/1, 2020-24)
    [H2020] DAWN4IoE - Data Aware Wireless Network for Internet-of-Everything (778305, 2017-21)
    [H2020] Mo-IoNT - Molecular Internet-of-Nano-Things (792799, 2018-20)

  • Physical - Networked & Autonomous Critical Systems:
    Domains: Large-scale Networked Systems, Networked Robots, Networked Natural Ecosystems
    Methods: Sensing/Compression: Graph Signal Processing, Network Science, Federated Learning, Explainable AI
    Key Papers: "Sampling and Inference of Networked Dynamics using Log-Koopman Nonlinear Graph Fourier Transform," IEEE Transactions on Signal Processing, 2020 [Link]
    "Network community structure of substorms using SuperMAG magnetometers," Nature Communications, vol.12, 1842, Mar 2021 [Link]
    "On the Accuracy and Efficiency of Sensing and Localization for Robotics," IEEE Transactions on Mobile Computing,2020 [Link]
    "Random Sketch Learning for Deep Neural Networks in Edge Computing," Nature Computational Science, vol.1(3), Mar 2021 [Link]
    Key Grants: [EPSRC] CoTRE - Complexity Twin for Resilient Ecosystems (EP/R041725/1, 2018-20)
    [InnovateUK] Fly2Plan (70883, 2020-22)
    [Turing LRF] CHANCE - Coupled Human and Natural Critical Ecosystems (2017-21)
    [H2020] GreenML5G - Green Machine Learning for 5G & Beyond Resource Optimisation (891221, 2020-22)

  • Social - Human Response to Physical & Digital Environments: 
    Domains: Social Networks, Conflict, Climate Induced Migration & Conflict
    Methods: Natural Language Processing, Network Science, Inference, Social-Physics Models
    Key Papers: "Retool AI to Forecast and Limit Wars," Nature, 2018 [Link]
    "Gang Confrontation: The case of Medellin (Colombia)," PLOS ONE, vol.14(12), Dec 2019 [Link]
    "Common Statistical Patterns in Urban Terrorism," Royal Society Open Science, vol.6(9), Sep 2019 [Link]
    "Google Trends can Improve Surveillance of Type 2 Diabetes," Nature Scientific Reports, vol. 7(1), Jun 2017 [Link]
    Key Grants: [EPSRC] Mobility as a service: MAnaging Cybersecurity Risks across Consumers, Organisations and Sectors (EP/V039164/1, 2021-23)
    [EPSRC] Centre for Doctoral Training in Urban Science and Progress (EP/L016400/1, 2014-22)
    [EPSRC] Patterns of City Formation & Development (EP/N509796/1, 2018-22)
    [Turing D&S] GUARD - Global Urban Analytics for Resilient Defence (2017-19, extension: 2019-21)


  • H2020
  • InnovateUK
  • Alan Turing Institute
  • DSTL
  • US Air Force: Office for Scientific Research
  • Royal Society
  • British Council
  • UK Geospatial Commission
  • Lloyds Register Foundation
  • Ranplan (UK SME)


Articles In Journals

Conference Papers