Professor Weisi Guo

SMIEEE, FHEA, Turing Fellow (2017-19)

Professor of Human Machine Intelligence

Centre for Autonomous and Cyberphysical Systems

Contact Professor Weisi Guo

ORCID

Areas of expertise

Autonomous Systems
Communications Systems
Defence Info Systems
Safety, Resilience, Risk & Reliability
Systems Engineering
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 (QS world 39, ARWU world 41, REF 2) at the Centre for Autonomous and Cyber-Physical Systems. I will work closely with the new £65m Digital Aviation Research and Technology Centre (DARTeC). I am also the Director of the Smart Living Grand Challenge at Cranfield.

I have been PI on £4.1m and investigator on over £15m 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 3600+ 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 3 IEEE & 1 Royal Society journals, and am a Full Member of the EPSRC peer-review college.

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), Future Flight (InnovateUK)
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: TAS-S - Trustworthy Autonomous Systems-Security (EPSRC, EP/V026682/1), 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 £16m 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: