Projects: EPSRC CoTRE, Turing DCE CHANCE, H2020 DAWN4IoE, InnovateUK ODIN, InnovateUK COCKPIT 5G.

Cyberphysical Infrastructure Nexus: Resilience & Sensing

Analysing and sensing the resilience of networked infrastructure as a function of local dynamics and global network topology. Minimise data collection for future Digital Twins using graph signal processing and machine learning. Inform predictive maintenance and long-term design of engineering and engineered systems.

Researchers:

• Mr. Zhuangkun Wei - graph sampling

• Mr. Mengbang Zou - network stability

• Incoming - Adversarial AI

• Incoming - Secure Networking

• Incoming - Green AI

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Awards:

• Bell Labs 2019 - Semi-Finalist

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Key Papers:

• "Resilience or Robustness: Identifying Topological Vulnerabilities in Rail Networks," Royal Society Open Science, 2019

• "Node-Level Resilience Loss in Dynamic Complex Networks," preprint, 2018

• "Optimal Sampling of Water Distribution Network Dynamics using Graph Fourier Transform,," IEEE Transactions on Network Science and Engineering, 2019

• "Deep Learning for Bridge Load Capacity Estimation in Post-Disaster and -Conflict Zones," Royal Society Open Science, 2019

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Royal Society Open Science - Cover Issue​

Projects: Turing D&S GUARD, DSTL UNSURE, EPSRC DTG, EPSRC CDT, British Council KEP

Socio-Physics & Machine Learning for Urban and Conflict Science

Develop generative models and AI solutions to predict emerging events and conflict, both in the physical and cyber world. Use models to inform political science development (causal discovery, peace negotiation), and stakeholders (government, charity, peacekeeping, and sustainable development).

Researchers

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• Mr. Matteo Mazzamurro - city formation

• Mr. Peter Strong - refugee mobility

• Mr. Schyler Sun - XAI for sociophysics

• Mrs. Almina Bai - social influence

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Awards:

• Bell Labs 2016 - Semi-Finalist

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Key Papers:

• "Retool AI to Forecast and Limit Wars," Nature, 2018

• "Common Statistical Patterns in Urban Terrorism," Royal Society Open Science, 2019 

• "Simulating Imperial Dynamics and Conflict in the Ancient World," Cliodynamics, 2019

• "Mapping Consumer Sentiment Towards Wireless Services using Geospatial Twitter Data," IEEE Access, 2019 

• "Understanding Happiness in Cities using Twitter: Jobs, Children, and Transport," IEEE Int. Smart Cities Conference, 2016
  
   

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Nature Commentary

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Projects: H2020 Mo-IoNT, Royal Society-NSFC SmallTalk, DSTL MEDE, USAF MolSig, LRF NanoTag

Wireless & Biological Communication for Extreme Environments

Designing a new generation of AI driven wireless and molecular (DNA)

communication for extreme environments: ultra-light, energy efficient, and nanoscale applications. 

Paving the way for new 6G Internet of NanoThings and micro UAVs connectivity, with strong application in military, healthcare, and industry.

Researchers

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• Dr. Lin Lin (H2020 MoIoNT)

• Mr. Mahmoud Abbaszadeh - DNA comm.

• Mr. Chen Li - XDRL for 6G 

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Awards:

• Bell Labs 2014 - Finalist

• IET Innovation Award 2015 - Winner

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Key Papers:

• "Tabletop Molecular Communication: Text Messages Through Chemical Signals" PLOS ONE, 2013 

• "Programmable Wireless Channel for Multi-user MIMO Transmission using Meta-surface," IEEE Globecom, 2019

• "Swarm UAV Communications with Diversity and Delay Trade-off using Mobile Caching," IEEE Int. Smart Cities Conference, 2019

• "Kalman Prediction-Based Neighbor Discovery and its Effect on Routing Protocol in Vehicular Ad Hoc Networks," IEEE Trans. on Intelligent Transportation Systems, 2019

IEEE Transactions on NanoBioScience - Cover Issue