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Rate My Professor Weisi Guo

Cranfield University

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5.00/5 · 1 review
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5.05/4/2026

Always fair, kind, and deeply insightful.

About Weisi

Professor Weisi Guo is Chair in Human Machine Intelligence and Head of the Centre for Assured and Connected Autonomy at Cranfield University. He obtained his MEng in Engineering, MA (Cantab), and PhD in Computer Science from the University of Cambridge. His professional career includes roles as Associate Professor (2017-2019) and Assistant Professor (2012-2017) in the School of Engineering at the University of Warwick, Research Associate in the Department of Electronic and Electrical Engineering at the University of Sheffield (2010-2012), and 2G and 3G Radio Engineer at T-Mobile International (2005-2007). As a former Turing Fellow at the Alan Turing Institute and Honorary Professor at the University of Warwick, Professor Guo specializes in human machine intelligence, autonomous and cyber-physical systems, cooperative communications, nanoscale and molecular communications, and AI systems transparency. His research develops data-driven solutions linking data science, communication systems, and machine learning for socio-cyber-physical ecosystems, particularly in aerospace, transport, defence, and crisis response scenarios involving time pressure, high-impact risks, sparse data, unreliable sensors, and generalization challenges. He teaches graph visualisation and learning, resilience of complex systems, and communication networks.

Professor Guo has been Principal Investigator on £8.9 million of research funding and investigator on over £36 million. He has authored over 180 journal papers with a total impact factor exceeding 980, more than 120 conference papers, three best paper awards, and four book chapters, amassing over 9,000 Google Scholar citations, an h-index of 45, and i10-index of 202. Publications appear in Nature, Nature Communications, Nature Machine Intelligence, Nature Computational Science, and cover issues of Royal Society and IEEE journals, including the Nature commentary 'Retool AI to Forecast and Limit Wars'. Awards include the IET Innovation Award (2015), Bell Labs Prize finalist (2014) and semi-finalists (2016, 2019), IEEE Best Paper (2014), and IEEE Exemplary Reviewer (2018). He serves as editor for IEEE Transactions on Molecular, Biological, and Multi-Scale Communications, Royal Society Open Science, IEEE Open Journal of the Communications Society, and others, and is a Full Member of the EPSRC peer-review college.