Find an expert
Explore the research interests of our academic research staff.
To make updates to this list, please contact Rob Millwood
Academic Reseatch staff
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Professor David Angeli
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Nonlinear network dynamics
The study of stability and control of interconnected systems, with the aim of advancing our understanding of emergent collective behaviours and their robustness to external perturbations.
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Professor Alessandro Astolfi
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Nonlinear control theory
Mathematical control theory and control applications, with special emphasis on the problems of discontinuous stabilization, robust and adaptive control, observer design, and model reduction.
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Dr Javier Barria
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Dr Ayush Bhandari
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Signal Processing and Computational Sensing
We co-design mathematical algorithms and novel hardware to break popularly held limits in digital sensing and imaging, thereby making the invisible visible—for example, through Unlimited Sensing and Time-Resolved Imaging. Our work emphasizes the holistic convergence of theory, algorithms, hardware, and experiments.
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Professor Christos Bouganis
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Digital systems
Design of high-performance and power efficient digital systems for Machine Learning and Computer Vision applications.
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Dr Balarko Chaudhuri
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Dynamic Power Grids
Dynamic stability and control of electric power grids with high shares of variable renewables (VREs) and inverter-based resources (IBRs). Develop stability assurance methods and tools that enable grid operators to decarbonise without compromising supply security or incurring high costs from constraining renewables overly conservatively.
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Professor Peter Cheung
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Professor Bruno Clerckx
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Wireless communications and signal processing
Wireless communications, wireless sensing, wireless power, signal processing for communications, machine learning for communications, wireless system prototyping.
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Professor Timothy Constandinou
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Next generation neural interfaces
How to effectively use electronics to interface with the human brain, by creating innovative research tools and medical devices to study, manage or treat neurological conditions.
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Professor George Constantinides
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Digital computation
Finite-precision computation and memory optimization. Developing software to automate the design of efficient computational hardware, usually for hardware acceleration, and often applied to machine learning computation.
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Dr Wei Dai
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Sensing, Processing, Learning for Perception
Wideband large-array sensing for high-resolution imaging; distributed and networked sensing; signal processing, optimization, and machine learning for physics-compliant and human-interpretable feature extraction.
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Professor Yiannis Demiris
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Intelligent robotics and human-robot interaction
The design and implementation of machine learning, computer vision, and robot control algorithms that allow robots to personalise the assistance they provide to people.
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Professor Pier Luigi Dragotti
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High dimensional data analysis / signal processing
Mathematical methods for high-dimensional data analysis. Developing interpretable model-based neural networks for application in imaging (e.g., microscopy, art investigation, natural images).
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Professor Zahid Durrani
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Silicon Quantum Nanoelectronics
Few-nanometre and atomic-scale semiconductor devices, compatible with silicon circuit technology, with a view to developing highly integrated, ultra-low power, quantum nanoelectronic circuits.
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Dr Simos Evangelou
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Systems engineering
The understanding, analysis and control of a range of complex dynamical systems, including Multibody Mechanical, Mechatronic, Road Vehicle, Hybrid Electric Vehicle, Active Suspension, and Oil & Gas Systems.
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Professor Kristel Fobelets
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Silicon and carbon based nanomaterials
Her primary research concentrates on silicon- and carbon-based nanomaterials and nanodevices, which are promising candidates for compact, low-power sensing, energy generation, and storage applications. Additionally, she is dedicated to the development of smart wearable, recyclable, and flexible garments. These smart garments aim to seamlessly integrate health sensors into everyday clothing that is accessible to all individuals.
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Dr Yulong Gao
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Safe autonomous systems
Formal verification machine learning and control synthesis of uncertain safety-critical systems with applications to autonomous systems and critical infrastructures.
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Professor Pantelis Georgiou
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Biomedical electronics
Ultra-low power micro-electronics, bio-inspired circuits and systems, lab-on-chip technology and application of micro-electronic technology to create novel medical devices. Application areas include new technologies for treatment of diabetes such as the artificial pancreas, novel Lab-on-Chip technology for genomics and diagnostics targeted towards infectious disease and wearable technologies for rehabilitation of chronic conditions.
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Dr Eleonora Giunchiglia
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Dr Dan Goodman
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Natural and artificially intelligent systems
Using mathematical and computational tools to understand common principles shared between natural and artificially intelligent systems, applying them to improve both our understanding of the brain and machine learning.
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Professor Tim Green
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Operation of electricity grids
Assuring that power grids operate in a stable fashion as the share of renewable energy approaches 100%. The complexity and commercial confidentiality of operating software of wind turbines and batteries necessitates a change from physics-led modelling to data-led modelling.
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Dr Yunjie Gu
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Inverter-Based Power Grids
Inverter technologies to support grid stability, and grid stability analytics considering the behaviour of inverters. Tools for warning and tracing of inverter-induced oscillations.
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Professor Deniz Gündüz
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Information theory and learning
Information theoretic foundations of learning, information processing (compression, storage) and communications. Data privacy and security. Machine learning for signal processing, coding, and communications.
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Professor Andrew Holmes
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Dr Imad Jaimoukha
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Dr Adrià Junyent-Ferré
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Professor Eric Kerrigan
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Control and optimisation
Developing technologies that integrate digital and physical systems, with a focus on managing uncertainty. His research improves aerospace and energy networks using advanced control and optimisation methods. Addressing how systems handle uncertainty to create more reliable, efficient, and sustainable solutions for complex real-world challenges.
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Professor Kin Leung
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Professor Geoffrey Li
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Wireless communications and deep learning
Using artificial intelligence (AI) to improve wireless networks and designing wireless networks to better serve various AI applications.
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Dr Cong Ling
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Information theory and cryptography
Post-quantum cryptography, which lies on the interface of information theory, cryptography, number theory and quantum information.
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Professor Stepan Lucyszyn
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Microwave engineering
Monolithic microwave integrated circuits (MMICs), radio frequency microelectromechnical systems (RF MEMS), wireless power transfer (WPT), thermal infrared technologies ('THz Torch') and additive manufacturing (3D Printing).
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Professor Danilo Mandic
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Professor Athanassios Manikas
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Professor Krystian Mikolajczyk
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Professor Paul Mitcheson
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VHF power electronics and wireless power
Exploiting wide band gap semiconductor technology in high speed power electronics to create compact and light weight converters, and the application of these converters to wireless power transfer to enable reliable and convenient power connection.
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Professor Patrick Naylor
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Speech and Acoustic Signal Processing
Processing of sound signals, to enhance them for example, or to extract additional information such as the position of a sound source. This is applied in hearing aids, augmented reality, and associated studies of dementia and stroke.
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Professor Mark O'Malley
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Power system engineering
How to transition the global electricity grid, and more broadly the energy system, to zero emissions. Specifically, how to operate and plan electricity grids so as they are cost effective and reliable as more and more variable renewables (wind and solar PV) are introduced.
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Professor Bikash Pal
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Stabliity and control of electric power systems
Developing methods to analyze and control the behavior of future electric power networks for its stable, secured, and efficient operation supported by variable renewable generation and demands from electrified transportations
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Dr Christos Papavassiliou
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Nanoelectronic Circuits
We develop circuits with nanometre scale components such as memristors, spintronic gates and quantum dots. Our work includes random number generators, qubits, and circuits to operate at cryogenic temperatures.
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Dr Sonali Parbhoo
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Decision-Making in Uncertainty
I research methods to make machine learning models—especially sequential decision-making systems—more reliable, interpretable, and robust, with a focus on probabilistic machine learning, reinforcement learning, and causal inference. My work aims to develop principled approaches for ensuring trustworthy AI in safety-critical applications like healthcare.
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Professsor Thomas Parisini
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Learning and Optimisation for Distributed Systems
Assuring that large-scale distributed systems such as industrial and critical infrastructures operate in resilient, safe and energy-aware modes of behaviour. Data-driven physics-aware machine learning and optimisation methodologies are and will be the key enabling factors.
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Professsor Tom Pike
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Micromachined sensors
Creating new sensors for planetary missions and terrestrial applications, silicon seismometers, gravimeters and gradiometers, and using data from these sensors to understand our solar system.
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Professsor Jeremy Pitt
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Self-Governing Systems
Using machine reasoning and machine learning to design and operationalise algorithms for self-governance, self-organisation and emergence in complex, multi-agent systems; analysing the societal impact of such agentic technologies.
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Dr Chen Qin
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Machine Learning in Medical Imaging
We develop advanced machine learning algorithms for medical image computing and analysis, including deep generative models and multi-modal learning, with clinical applications in neurology and cardiovascular medicine.
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Professor Esther Rodriguez-Villegas
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Next-generation wearable health technologies
Design of ultra-low power wearable technologies combining hardware, signal processing, and regulatory translation for scalable, clinically validated solutions across diverse acute and chronic conditions.
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Dr Giordano Scarciotti
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Control theory
Novel methodological analysis and design tools for control systems at a fundamental level, and translating these results into applied domains such as power systems.
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Dr Ad Spiers
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Robotics, Haptics and Machine Learning
The Manipulation and Touch Lab focuses on robotic and human manipulation, tactile sensing and haptic interfaces, often making use of machine learning tools.
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Dr Elina Spyrou
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Decision support tools for power systems
How to design policies, processes, and markets for power systems with very low greenhouse gas emissions. Engineering-economic modelling that supports power system planning and operations under uncertainty.
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Dr Tania Stathaki
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Signal & Image Processing with Intelligence
Data processing and machine learning applied to domains such as security, defence, healthcare and digital arts. Focusing on the synergy between data, algorithms, and systems to deliver intelligent, scalable, and transferable solutions to real-world problems.
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Professor Goran Strbac
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Dr Oleksiy Sydoruk
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Applied Electromagnetism
Effects and devices based on generation, propagation, and detection of electromagnetic fields. Sensors, near field communication, metamaterials
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Professor Richard Syms
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Dr Fei Teng
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Intelligent Energy Systems
Design cutting-edge decision architectures and computational methods to drive the energy systems of the future.
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Professor Chris Toumazou
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Nudgeomics and Precision Health
Nudgeomics is a new concept used to explain how our biology can influence our decision-making by combining local AI, behavioural science with intelligent sensor interfacing for both neural and metabolic heath care systems. The core of the research is to ultimately improve the management of disease in a sustainable way with devices used for prevention and early disease detection at the point of decision.
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Dr Stefan Vlaski
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Distributed Optimisation and Learning
Multi-agent systems consist of a collection of entities with the ability to observe and process data and share findings with their peers. Through tools in statistics, optimisation and network science, we develop algorithms to control these networks and allow them to learn in a distributed, provably optimal and efficient manner.
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Dr Sen Wang
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Autonomous robotic systems
Robotics and AI research that enables robots to perceive real-world environments and achieve persistent autonomy, including multi-sensor perception (vision, LiDAR, radar), autonomous navigation and Simultaneous Localisation and Mapping (SLAM).
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Dr John Wickerson
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Reliable computer systems
Computer systems are relied upon in every aspect of our lives, but how reliable are they? Dr Wickerson develops new techniques for finding bugs in computer systems and then mathematically proving them bug-free.
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Professor Eric Yeatman
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Micro-technologies
Professor Yeatman develops methods for fabricating micro- mechanical, optical and electrical structures, and novel devices based on these especially for sensing and micro-robotics. He is highly experienced in technologies for communications, defence, and medicine.
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Dr Aaron Zhao
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Large-scale GenAI
Dr. Aaron Zhao's research focuses on the interplay among hardware, algorithms, and security, aiming to enhance the run-time efficiency and security of large-scale GenAI workloads in computer systems.