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

Background

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 £2.4m and investigator on £6.3m of research funding. ​I am a Turing Fellow at the Alan Turing Institute. I have published 80+ journal papers (total IF 335+) and 60+ IEEE/ACM conference papers, with 2550+ citations (h-index 23). 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 and track chair for IEEE ICC 2020 - Big Data.

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 [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), 
  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),
  

• 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)

Current activities

My team and I are supported by over £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. 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

Clients

• EPSRC
• 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)

Publications

• Articles in journals
• Conference papers
• Books