Academic research staff A-Z

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.

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.

Time series anomaly detection and networks

Real time monitoring, time series anomaly detection and distributed resource allocation in dynamic networked systems, intelligent transportation systems and power distribution networks.

Signal Processing and Computational Sensing

Co-design of 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. The work emphasises the holistic convergence of theory, algorithms, hardware, and experiments.

Digital systems

Design of high-performance and power efficient digital systems for Machine Learning and Computer Vision applications.

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.

Wireless communications and signal processing

Wireless communications, wireless sensing, wireless power, signal processing for communications, machine learning for communications, wireless system prototyping.

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.

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.

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.

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.

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).

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.

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.

Silicon and carbon based nanomaterials

Silicon- and carbon-based nanomaterials and nanodevices, which are promising candidates for compact, low-power sensing, energy generation, and storage applications. Development of smart wearable, recyclable, and flexible garments that aim to seamlessly integrate health sensors into everyday clothing accessible to all.

Safe autonomous systems

Formal verification machine learning and control synthesis of uncertain safety-critical systems with applications to autonomous systems and critical infrastructures.

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.

Microelectronics and biosensors

Low-power analog/mixed-signal IC; CMOS-integrated biosensors; amperometric electrochemical sensors for real-time and continuous measurement of biomolecules; implantable and wearable sensors for biomarkers of e.g. oral health, stress, and acute pain.

Neurosymbolic AI for Safe Learning & Inference

The development of logic-informed machine learning algorithms that enable AI systems to reason, learn, and make decisions in a reliable and verifiable way.

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.

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.

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.

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.

Control System Design

The theory of robust control system analysis and design with applications in power systems, electric vehicles, model reduction, model predictive control, and fault detection and isolation.

Machine Learning for Dynamics and Controls

Studying the interplay between learning, dynamics, and control in real-world systems, with the aim of developing rigorous mathematical and algorithmic foundations for robust, scalable, and sample-efficient reinforcement learning.

Power electronics for electricity grid access

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.

Network AI for communications and computing

AI and machine learning for optimized design, control and management of communication, computer (classical and quantum) and wireless networks for civilian and defence applications.

Wireless communications and deep learning

Using artificial intelligence (AI) to improve wireless networks and designing wireless networks to better serve various AI applications.   

Information theory and cryptography

Post-quantum cryptography, which lies on the interface of information theory, cryptography, number theory and quantum information.

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).

Statistical Learning and Machine Intelligence

AI and Data Analytics, focusing on interpretable AI, generative AI, deep neural networks, LLMs, tensors and graph learning. Applications in wearable health (Hearables) and finance.

Array Communications, Array Processing and Radar

Integrated space-time antenna arrays and beamforming in communications and radar. Algorithms for enhanced direction finding, localisation, and tracking capabilities. Addressing array uncertainties and establishing performance bounds.

Computer Vision and Machine Learning

Using machine learning for developing technologies in 3D computer vision, reconstructions and recognition, vision and language, robot reasoning and planning.

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.

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.

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.

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

Nanoelectronic Circuits

Development of circuits with nanometre scale components such as memristors, spintronic gates and quantum dots. The work includes random number generators, qubits, and circuits to operate at cryogenic temperatures.

Decision-Making in Uncertainty

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. Development of principled approaches for ensuring trustworthy AI in safety-critical applications like healthcare.

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.

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.

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.

Machine Learning in Medical Imaging

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.

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.

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.

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.

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.

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.

Energy system modelling

Modelling approaches focused on operation, planning, security and economics of future low/zero carbon multi-energy systems. Development of new energy market rules and design standards.

Applied Electromagnetism

Effects and devices based on generation, propagation, and detection of electromagnetic fields. Sensors, near field communication, metamaterials

Sensors

MEMS, NEMS and electromagnetic devices. Sensors including paper-based micro fluidics, miniature mass spectrometers, internal probes for magnetic resonance imaging, optical scan engines, NFC readers and NDT systems.

Intelligent Energy Systems

Designing cutting-edge decision architectures and computational methods to drive the energy systems of the future.

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.

Distributed Optimisation and Learning

Using tools in statistics, optimisation and network science to develop algorithms to control multi-agent systems (a collection of entities with the ability to observe and process data and share findings with their peers) and allow these networks to learn in a distributed, provably optimal and efficient manner.

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).

Reliable computer systems

Reloability of computer systems. Development of new techniques for finding bugs in computer systems and then mathematically proving them bug-free.

Micro-technologies

Development of methods for fabricating micro- mechanical, optical and electrical structures, and novel devices based on these especially for sensing and micro-robotics. Technologies for communications, defence, and medicine.

Large-scale GenAI

The interplay among hardware, algorithms, and security, with the aim of enhancing the run-time efficiency and security of large-scale GenAI workloads in computer systems.