Weisi Guo
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Professor and Head of Centre for Assured and Connected Autonomy at Cranfield University
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About
Weisi Guo is a Professor and Head of the Centre for Assured and Connected Autonomy at Cranfield University, UK. His research focuses on advanced methodologies in deep reinforcement learning, unmanned aerial vehicle operations, and autonomous systems. Recent publications include studies on navigation in denied environments, disaster response using drones, and robustness optimization in underwater sensor networks. His work aims to enhance situational awareness and decision-making processes in complex and dynamic settings.
Recent Grants
Grant: Close
GraphSec - Physical Graph Based Wireless IoT Security with No Key Exchange
Open Date: 2021-09-01
Close Date: 2023-02-01
Grant: Close
Green Machine Learning for 5G and Beyond Resource Optimisation
Open Date: 2021-03-01
Close Date: 2023-03-01
Grant: Close
UKRI Trustworthy Autonomous Systems Node in Security
Open Date: 2020-11-01
Close Date: 2024-04-01
Grant: Close
Fly2Plan – Enabling a new model aviation data system-of-systems
Open Date: 2020-11-01
Close Date: 2022-01-01
Grant: Close
Networked Social Influence and Acceptance in a New Age of Crises
Open Date: 2020-09-01
Close Date: 2023-08-01
Positions (1)
Weisi Guo
Not specified
Cranfield University is recruiting three PhD students to join research projects in the Centre for Assured and Connected Autonomy, led by Professor Weisi Guo. The available positions include: (1) a BAE Systems funded UK PhD focusing on drone swarms and physics informed learning, (2) a Saab funded UK PhD on counter drone intention prediction using inverse learning, and (3) a self-funded international PhD in 6G self-programmable networks. The first two positions are fully funded for UK applicants through EPSRC and industry sponsorship, while the third is open to international candidates who can self-fund. Applicants should have a strong academic background in computer science, electrical engineering, robotics, or related areas, with experience or interest in artificial intelligence, machine learning, and autonomous systems. The research topics span cutting-edge areas in defence, autonomy, and next-generation networks. Interested candidates should review the project links for further details and apply via the university's portal. For questions, contact Professor Weisi Guo. The application deadline is not specified.
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Collaborators (3)
Cassidy Sugimoto
Associate Professor
Indiana University Bloomington
Zhiwei Gao
Associate Professor
Northumbria University
mengbang zou
Cranfield University
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