Contact Professor Weisi Guo

Areas of expertise

  • Autonomous Systems
  • Communications Systems
  • Defence Info Systems
  • Safety, Resilience, Risk & Reliability
  • Systems Engineering
  • Water Science and Engineering


Professor Guo is the Head of Human Machine Intelligence Group at Cranfield.

He obtained his MEng, MA, and PhD degrees from the University of Cambridge. Since 2012, he has built an award-winning team at the University of Warwick (2012-19) and then Cranfield (2019-now). His research group has won the IET Innovation Award winner (2015) and been a runner-up in the Bell Labs Prize three times (2014, 2017, 2019).

He has been PI on £7.2m and investigator on over £20m of research funding, and was a Turing Fellow at the Alan Turing Institute. He has published 140+ journal papers (total IF 880+) and 80+ IEEE/ACM conference papers, with over 6400 citations (h-index 40). This includes a Nature, Nature communications, Nature Machine Intelligence, Nature Comp.Sci., a top 10% cited paper in PLOS ONE, and several cover issues in Royal Society and IEEE journals. He currently serves as editor on several IEEE & Royal Society journals, and is a Full Member of the EPSRC peer-review college, as well as reviewing for UKRI FLF, ESRC, MRC, Royal Society, and Leverhulme.

Research opportunities

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 connected intelligence, linking: data science, communication systems, and machine learning.

My research designs data-driven solutions for socio-cyber-physical ecosystems. In particular, I am interested in how AI and information systems can be designed for specific challenging environments or tasks, whilst integrating human domain knowledge.

I am currently recruiting:

Post-Docs: The group has a number of project-based openings throughout year. We also welcome top-quality motivated fellowship applicants (RAEng, UKRI), please send a detailed CV and your top 1-2 papers for a discussion.

PhDs: The group usually takes in maximum 2 new PhD students a year. We restrict this number to ensure high quality supervision. This may expand to 3-4 as new faculty staff joins for 2023-24 year.

Visiting Fellows/Senior PhD Students: The group only considers maximum 1 case a year (6-12 months) with exceptional synergy and a clear research plan that benefits the group.

Enquiries on any aspect of research without a detailed CV and clear research plan that relate to my group's interests will likely not be responded quickly due to the high volume of emails.

Current activities

The research areas are:

Cyber - Communication in Extreme Environments:

Domains: Social Data-Driven 5G & 6G, UAV Communication, Secure Communication, Biological Communication

Methods: Physical Layer Security, Intelligence Reflecting Surface, Molecular Encoding

Key Grants: [EPSRC] Future Communications Hub: Distributed Computing (EP/X040518/1, 2023-26)

[EPSRC] TAS-S Trustworthy Autonomous Systems-Security (EP/V026763/1, 2020-24)

[H2020] DAWN4IoE - Data Aware Wireless Network for Internet-of-Everything (778305, 2017-21)

[H2020] Mo-IoNT - Molecular Internet-of-Nano-Things (792799, 2018-20)

[EPSRC] Future Communications Hub (EP/X040518/1, 2023-26)

Physical - Networked & Autonomous Critical Systems:

Domains: Large-scale Networked Systems, Networked Robots, Networked Natural Ecosystems

Methods: Sensing/Compression: Graph Signal Processing, Network Science, Federated Learning, Explainable AI

Key Grants: [EPSRC] CoTRE - Complexity Twin for Resilient Ecosystems (EP/R041725/1, 2018-20)

[InnovateUK] Fly2Plan (70883, 2020-22)

[Turing LRF] CHANCE - Coupled Human and Natural Critical Ecosystems (2017-21)

[H2020] GreenML5G - Green Machine Learning for 5G & Beyond Resource Optimisation (891221, 2020-22)

Social - Human Response to Physical & Digital Environments:

Domains: Social Networks, Conflict, Climate Induced Migration & Conflict

Methods: Natural Language Processing, Network Science, Inference, Social-Physics Models

Key Grants: [EPSRC] Mobility as a service: MAnaging Cybersecurity Risks across Consumers, Organisations and Sectors (EP/V039164/1, 2021-23)

[EPSRC] Centre for Doctoral Training in Urban Science and Progress (EP/L016400/1, 2014-22)

[EPSRC] Patterns of City Formation & Development (EP/N509796/1, 2018-22)

[Turing D&S] GUARD - Global Urban Analytics for Resilient Defence (2017-19, extension: 2019-21)





Alan Turing Institute


US Air Force: Office for Scientific Research

Royal Society

British Council

UK Geospatial Commission

Lloyds Register Foundation

Department for Transport

Ranplan (UK SME)

Ultra CSS (UK Company)


Articles In Journals

Conference Papers