Contact Professor Weisi Guo

Areas of expertise

  • Autonomous Systems
  • Communications Systems
  • Defence Info Systems
  • Human Factors
  • Safety, Resilience, Risk & Reliability
  • Systems Engineering
  • Vehicle Health Management
  • Water Science and Engineering


I obtained MEng, MA, and PhD degrees from the University of Cambridge. Since 2012, I have built an award-winning team at the University of Warwick, where I remain an honorary professor. From fall 2019, I joined Cranfield University (mech engineering: QS world 39, ARWU world 41, REF 2) at the Centre for Autonomous and Cyber-Physical Systems [Link]. I will work closely with the new £65m Digital Aviation Research and Technology Centre (DARTeC). 

I have been PI on £3.1m and investigator on £12.3m of research funding. ​I was a Turing Fellow at the Alan Turing Institute. I have published 100+ journal papers (total IF 435+) and 60+ IEEE/ACM conference papers, with 3500+ citations (h-index 28). This includes a Nature commentary, a top 10% cited paper, and several cover issues in Royal Society and IEEE journals. I am also an IET Innovation Award winner and been a runner-up in the Bell Labs Prize three times. I currently serve as editor on 2 IEEE & 1 Royal Society journals.

Research opportunity

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: data science, communication systems, and machine learning. My research designs data-driven solutions for socio-cyber-physical ecosystems. I specialise in how AI and information systems can be designed for specific challenging environments or tasks, complementing human domain knowledge. The application areas include:

  • Physical - Networked Critical Infrastructures:
    Domains: telecommunications [1], water distribution [2], air-ground transportation [34]
    Methods: resilience [5] and graph signal processing bounds [6] of dynamic networks for Digital Twins
    Key Paper: "Optimal Sampling of Water Distribution Network Dynamics using Graph Fourier Transform," IEEE Transactions on Network Science and Engineering, 2019 [Link]
    Key Grants: - CoTRE - Complexity Twin for Resilient Ecosystems (EPSRC, EP/R041725/1), CHANCE - Coupled Human and Natural Critical Ecosystems (Turing - Lloyds Register Foundation), COCKPIT 5G - Crowd Blackspot Intelligence for 5G Rollout (Geospatial Commission, 29634)

  • Cyber - Communication in Extreme Environments:
    Domains: 5G & 6G ultra-dense deployment [7], UAV communication [8], biological communication [9]
    Methods: stochastic geometry [10], smart meta-surface [11], molecular encoding [12]
    Key Paper: "Mutual Information and Noise Distributions of Molecular Signals using Laser Induced Fluorescence," IEEE Globecom, 2019 [Link]
    Key Grants: DAWN4IoE - Data Aware Wireless Network for Internet-of-Everything (H2020, 778305), Mo-IoNT - Molecular Internet-of-Nano-Things (H2020, 792799), Green Machine Learning for 5G and Beyond Resource Optimisation (H2020, 891221)

  • Social - Human Response to Physical & Digital Environments: 
    Domains: demand prediction [13], social experience analytics [14], conflict networks [15], refugee migration
    Methods: clustering [16], NLP [17], deep learning [18], network science [19], Bayesian inference [20]
    Key Paper: "Retool AI to Forecast and Limit Wars," Nature, 2018 [Link]
    Key Grants: Centre for Doctoral Training in Urban Science and Progress (EPSRC, EP/L016400/1), Patterns of City Formation & Development (EPSRC, EP/N509796/1), GUARD - Global Urban Analytics for Resilient Defence (Turing - D&S), Networked Social Influence and Acceptance in a New Age of Crises (US AFOSR, FA8655-20-1-7031).

Current activities

My team and I are supported by over £12m of funding from both fundamental research councils (EPSRC, H2020, Royal Society), as well as applied bodies (InnovateUK, DSTL). We work with a variety of commercial and government stakeholders to expand the impact of our research. I am interested in supporting strong studentship and fellowship applications, as well as collaborations in:

  • Explainable and Trusted AI for 5G and Digital Twins
  • UAV Assisted 5G and Beyond Communications
  • Molecular based Communications
  • Forecasting of Extreme and Rare Events

Key Recent Papers:
2. Explainable AI for 6G - IEEE ComMag
3. Green Deep Reinforcement Learning  - IEEE VehTechMag


  • H2020
  • InnovateUK
  • Alan Turing Institute
  • DSTL
  • MOD
  • GCHQ
  • US Air Force
  • Royal Society
  • British Council
  • NSFC
  • UK Geospatial Commission
  • Lloyds Register Foundation
  • Ranplan (UK SME)


Articles In Journals

Conference Papers