Research Team

Welcome to our research and team page. I am or have been PI on £4.6m of funding from EPSRC, H2020, InnovateUK, Royal Society, DSTL, USAF, MOD, and Lloyd's Register Foundation. I have 30+ PDRA years of primary supervision and 10 PhD students supervision experience. Our team has won / shortlisted for 6 prestigious awards from IEEE, IET, and Bell Labs.

The team is diverse and consists of 20 members from 8+ countries:

  • Lecturer (1 Dedicated): incoming - AI in autonomous systems

  • Research Fellows (6 Dedicated): 
    Adolfo Perrusquia (university) - reinforcement learning
    Zhuangkun Wei (EPSRC UKRI TAS-S: RS2C) - secure communications in autonomy
    Yan Zong (InnovateUK Future Flight: Fly2Plan) - secure AI in aerospace
    *recruiting summer 2021* (EPSRC) - IoT security
    *recruiting fall 2021* (EPSRC MACRO) - adversarial AI 
    Z. Du *awaiting visa* (H2020 IF) - green machine learning

  • Research Fellows (3 Shared in Projects)

  • Ph.D. Students (5 Dedicated): 
    Chen Li (2019-22) - green and trustworthy AI
    Schyler Sun (2019-22) - explainable and causal AI
    M. Zou (2020-23) - dynamic network resilience 
    J. Bai (2020-23, US AFOSR) - social network influence analysis
    *recruiting fall 2021* (EPSRC TAS-S: RS2/3) - human adaptation informed secure network design

  • Ph.D. Students (7 Co-/External-Supervisor): 
    M. Mazzamurro (2018-22, EPSRC DTP) - urban science and entropy-based laws 
    A. Sonea (2018-25, EPSRC CDT) - urban digital financial service access
    P. Strong (2020-23, EPSRC CDT) - migration modelling for refugees
    A. Dabashi (2020-23, EPSRC DTP) - smart energy infrastructure for future power systems
    J. Liu (2020-23) - AI testing of digestate of anaerobic digestion
    P. Geragersian (2021-24, EPSRC DTP) - AI based PNT solution for autonomous systems
    D. Holt (2021-24, EPSRC DTP) - XAI based radar signal classification for UTM


Research Directions


My directions consist of 3 main areas covering Human Machine Intelligence:

  1. Cyberphysical Infrastructure Nexus (EPSRC, Turing-LRFH2020, InnovateUK)

  2. Socio-Physics for Urban and Conflict Science (EPSRC, Turing-D&S, DSTLBritish Council, Royal Society)

  3. Extreme Wireless & Molecular Communication (H2020, Royal Society, DSTL, USAF, LRF)

Details of these areas and their researchers are given below.

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.


  • Bell Labs 2019 - Semi-Finalist

Key Papers:

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

  • "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

Royal Society Open Science - Cover Issue​

Nature Compuutational Science

Royal Society Open Science Cove Issue

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

Socio-Physics & Machine Learning for Ecology & 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).


  • Bell Labs 2016 - Semi-Finalist

Key Papers:

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

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

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

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

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

Nature Commentary

Nature Communication

Nature Conflict Paper

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.


  • Bell Labs 2014 - Finalist

  • IET Innovation Award 2015 - Winner

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

Bacteria Infomation Relay

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