Projects: EPSRC TAS-S, EPSRC MACRO, EPSRC-PETRAS GraphSec, H2020 Mo-IoNT, H2020 GreenML for 5G, Royal Society-NSFC SmallTalk, DSTL MEDE, USAF MolSig

Cyber - Autonomy and Networking in Extreme Environments

Desig a new generation of machine learning (federated, trustworthy, tiny) and networks (radio, molecular, DNA) for extreme environments: ultra-light, energy efficient, and nanoscale. Paving the way for new 6G Internet of NanoThings and swarm UAVs connectivity, with strong application in military, healthcare, and industry.

Awards:

• Bell Labs 2014 - Finalist

• IEEE Best Paper 2014

• IET Innovation Award 2015 - Winner

​

Key Papers:

• "Random Sketch Learning for Deep Neural Networks in Edge Computing," Nature Computational Science, vol.1(3), Mar 2021

• "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

• "On the Accuracy and Efficiency of Sensing and Localization for Robotics,"
  IEEE Trans. on Mobile Computing, 2020

Nature Computational Science

IEEE Transactions on NanoBioScience: cover

​

Projects: EPSRC CoTRE, Turing DCE CHANCE, H2020 DAWN4IoE, InnovateUK ODIN, InnovateUK COCKPIT 5G, InnovateUK Fly2Plan. 

Physical - Sensing and Digital Twin of Critical Systems

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.

Awards:

• Bell Labs 2019 - Semi-Finalist

​

Key Papers:​

• "Sampling and Inference of Networked Dynamics using Log-Koopman Nonlinear Graph Fourier Transform,"
  IEEE Trans. on Signal Processing, 2020

• "Network community structure of substorms using SuperMAG magnetometers," Nature Communications, vol.12, 2021

• "Node-Level Resilience Loss in Dynamic Complex Networks," Nature Scientific Reports, 2020

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

​

Royal Society Open Science - Cover Issue​

Nature Communications

​

Projects: Turing D&S GUARD, DSTL UNSURE, EPSRC DTG: Urban Scaling Laws, EPSRC CDT: Urban Science & Progress, British Council KEP, USAF Social Influence 

Social - Human Response to a Changing Environment 

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, NGOs, peacekeeping, and sustainable development).

Awards:

• Bell Labs 2016 - Semi-Finalist

​

Key Papers:

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

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

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

• "Gang Confrontation: The case of Medellin (Colombia)," PLOS ONE, vol.14(12), Dec 2019

• "Google Trends can Improve Surveillance of Type 2 Diabetes," Nature Scientific Reports, vol. 7(1), Jun 2017

​

BBC Interviews

Nature: commentary