Professor Weisi Guo

Ex-Turing Fellow, SMIEEE, MIET, FHEA, FRSS

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
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 £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 [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), 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: