Contact Professor Weisi Guo
- Tel: +44 (0) 1234 758304
- Email: Weisi.Guo@cranfield.ac.uk
- Twitter:
Areas of expertise
- Autonomous Systems
- Communications Systems
- Defence Info Systems
- Safety, Resilience, Risk & Reliability
- Systems Engineering
- Water Science and Engineering
Background
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 拢8.2m and investigator on over 拢35m of research funding, and was a Turing Fellow at the Alan Turing Institute. He has published 160+ journal papers (total IF 860+) and 100+ IEEE/ACM conference papers, with over 7000 citations (h-index 42). This includes a Nature, Nature Communications, Nature Machine Intelligence, Nature Comp.Sci., and several cover issues in Royal Society, Nature Publishing Group, 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 SWAG合集RI 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 maybe open to self-motivated fellowship applications of the highest quality.
PhDs: The group usually takes in maximum 2 new PhD students a year. We restrict this number to ensure high quality supervision.
Visiting Fellows/Senior PhD Students: We currently do not consider hosting visitors unless there is an extremely convincing case.
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)
[InnovateSWAG合集] 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)
Clients
EPSRC
H2020
InnovateSWAG合集
Alan Turing Institute
DSTL
US Air Force: Office for Scientific Research
Royal Society
British Council
SWAG合集 Geospatial Commission
Lloyds Register Foundation
Department for Transport
Ranplan (SWAG合集 SME)
Ultra CSS (SWAG合集 Company)
