Professor Weisi Guo 
Chair of Human Machine Intelligence

 Visiting Fellow at the Alan Turing Institute

SMIEEE, FHEA, FRSS

​Cambridge: MEng, MA, PhD 

Address: F411 (1st floor iMech), 

Centre for Autonomous and Cyber-Physical Systems,

SATM, Cranfield University, 

MK43 0AL, UK

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Tel: 01234 758304

 

Websites (Official): Cranfield, Turing, Warwick

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Email: 

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: 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 [3, 4]
  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, 2018-20)
  CHANCE - Coupled Human and Natural Critical Ecosystems (Turing - Lloyds Register Foundation, 2017-21)
  COCKPIT 5G - Crowd Blackspot Intelligence for 5G Rollout (Geospatial Commission, 29634, 2019-20)
  GreenML5G - Green Machine Learning for 5G & Beyond Resource Optimisation (H2020, 891221, 2020-22)
   

• 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, 2017-21)
  Mo-IoNT - Molecular Internet-of-Nano-Things (H2020, 792799, 2018-20)
   

• 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, 2014-22)
  Patterns of City Formation & Development (EPSRC, EP/N509796/1, 2018-22)
  GUARD - Global Urban Analytics for Resilient Defence (Turing - D&S, 2017-19, 2019-20)

 

My team and I are supported by over £6.6m 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.

 

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). 

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Excellence - I have been PI on £2.7m and investigator on £6.6m of research funding. ​I am a Turing Fellow at the Alan Turing Institute. I have published 90 journal papers (total IF 365+) and 60+ IEEE/ACM conference papers, with 2900+ citations (h-index 26). 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.

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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.