Human Machine Intelligence Research Group
Welcome to our research group page. We are supported by a variety of UKRI, H2020, and Defence & Securities funding over the years, totalling over £4.8m in PI and £16.3m in CI.
The team is diverse and consists of 20 members from 8 countries:
Lecturer (1 Dedicated):
Yang Xing - AI in autonomous systems
University 75th Anniversary Fellow:
Alexander Elliott - digital twin of dynamical systems
Research Fellows (6 Dedicated):
Adolfo Perrusquia (university) - reinforcement learning
Zhuangkun Wei (EPSRC UKRI TAS-S: RS2C) - secure communications in autonomy
*recruiting summer 2021* (EPSRC PETRAS GraphSec) - IoT security
*recruiting fall 2021* (EPSRC MACRO) - adversarial AI
Yan Zong (InnovateUK Future Flight: Fly2Plan) - secure AI in aerospace
Z. Du *awaiting visa* (H2020 IF) - green machine learning
Research Fellows (3 co-managed in UKRI Projects)
Ph.D. Students (7 Dedicated / Primary):
Chen Li (2019-22) - green and trustworthy AI
Schyler Sun (2019-22) - explainable AI for causal prediction
Mengbang Zou (2020-23) - dynamic network resilience
Almina Jin (2020-23, US AFOSR) - social network influencer analysis
Jinsheng Yuan (2021-24) - adversarial machine learning
Nana Chu (2021-24) - explainable AI for autonomous aircraft piloting
*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) - scaling laws in urban science
Andra Sonea (2018-25, EPSRC CDT) - urban digital financial service access
Peter Strong (2020-23, EPSRC CDT) - migration modelling for refugees
Jon Ricketts (2020-27 PT, QinetiQ) - NLP for aviation safety
Janice Liu (2020-23) - AI prediction of digestate of anaerobic digestion
P. Geragersian (2021-24, EPSRC DTP, Spirent) - AI based PNT solution for autonomous systems
Danny Holt (2021-24, EPSRC DTP, Saab) - XAI based radar signal classification for UTM
Previous PDRAs (6): A. Al-Shami (Ass. Prof. @ S. Arkansas), I. Atthanayake (Lecturer @ Open Uni Sri Lanka), S. Esfahani (PDRA @ Warwick, Engineer @ AG Electronics), N. Tkachenko (PDRA @ Oxford), G. Moutsinas (Lecturer @ Coventry Uni), G. Aquino (Lecturer @ Goldsmiths)
Previous PhDs (5): H. Yuan (EPSRC PDRA @ Warwick), S. Qiu (H2020 PDRA, CEO of Start-up), N. Gupta (Teaching Fellow @ Warwick), G. Mosquera (Chief Data Scientist @ Alpha Analytics), Z. Wei (EPSRC PDRA @ Cranfield)
Details of these areas and their researchers are given below.
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.
Bell Labs 2014 - Finalist
IEEE Best Paper 2014
IET Innovation Award 2015 - Winner
"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.
Bell Labs 2019 - Semi-Finalist
"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
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).
Bell Labs 2016 - Semi-Finalist
"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