Professor Weisi Guo 
Chair of Human Machine Intelligence

 Visiting Fellow at the Alan Turing Institute

SMIEEE, FHEA

​Cambridge: MEng, MA, PhD 

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Address: F411 (1st floor iMech), 

Centre for Autonomous and Cyber-Physical Systems,

SATM, Cranfield University, 

MK43 0AL, UK

Tel: 01234 758304

 

Websites (Official): Cranfield, Turing, Warwick

Email: weisi.guo@cranfield.ac.uk

wguo@turing.ac.uk

weisi.guo@warwick.ac.uk

Vision & Expertise - 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. The application areas include:
 

  • Cyber - Autonomy and Networking in Extreme Environments:
    Domains: Social Data-Driven 5G & 6G, UAV Communication, Secure Communication, Biological Communication
    Methods: Physical Layer Security, Federated Learning, Explainable AI, Molecular Encoding 
    Key Papers: "Random Sketch Learning for Deep Neural Networks in Edge Computing," Nature Computational Science, vol.1(3), Mar 2021 [Link]
    "On the Accuracy and Efficiency of Sensing and Localization for Robotics," 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: [UKRI-EPSRC] TAS-S Trustworthy Autonomous Systems-Security (EP/V026682/1, 2020-24)
    [UKRI-InnovateUK
    ] Fly2Plan (70883, 2020-22)
    [H2020] DAWN4IoE - Data Aware Wireless Network for Internet-of-Everything (778305, 2017-21)
    [H2020] Mo-IoNT - Molecular Internet-of-Nano-Things (792799, 2018-20)
    [H2020] GreenML5G - Green Machine Learning for 5G & Beyond Resource 
    Optimisation (891221, 2020-22)
     

  • Physical - Sensing and Digital Twin of Critical Systems:
    Domains: Large-scale Networked Systems, Networked Robots, Networked Natural Ecosystems
    Methods: Sensing/Compression: Graph Signal Processing, Network Science,

    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]

    Key Grants: [EPSRC] CoTRE - Complexity Twin for Resilient Ecosystems (EP/R041725/1, 2018-20)
    [Turing LRF] CHANCE - Coupled Human and Natural Critical Ecosystems (2017-21)
     

  • 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)
    [USAF] Networked Social Influence and Acceptance in a New Age of Crises (FA8655-20-1-7031, 2020-23)
    [Turing D&S] GUARD - Global Urban Analytics for Resilient Defence (2017-19, extension: 2019-21)

Track-record - 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). 

Excellence - I have been PI on over £4.7m and an investigator on over £16m of research funding. ​I was a Turing Fellow at the Alan Turing Institute from 2017 and remain a researcher there. I have published over 100 journal papers (total IF 500+) and 60+ IEEE/ACM conference papers, with 4100+ citations (h-index 30). 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 3 IEEE & 1 Royal Society journals and track chair for IEEE ICC 2020 - Big Data. I also serve as reviewer for EPSRC, NSF, H2020, NSERC, Royal Society, and Leverhulme.

Life - I have worked in an UNHCR refugee camp in Africa, been 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. I have completed both the full London (2007) and full Sahara (2010) marathons.

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