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
-
Professor David Angeli
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.
-
Professor Alessandro Astolfi
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.
-
Dr Javier Barria
-
Dr Ayush Bhandari
-
Professor Christos Bouganis
Digital systems
Design of high-performance and power efficient digital systems for Machine Learning and Computer Vision applications.
-
Dr Balarko Chaudhuri
-
Professor Peter Cheung
-
Professor Bruno Clerckx
Wireless communications and signal processing
Wireless communications, wireless sensing, wireless power, signal processing for communications, machine learning for communications, wireless system prototyping.
-
Professor Timothy Constandinou
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.
-
Professor George Constantinides
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.
-
Dr Wei Dai
-
Professor Yiannis Demiris
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.
-
Professor Pier Luigi Dragotti
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).
-
Professor Zahid Durrani
-
Dr Simos Evangelou
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.
-
Professor Kristel Fobelets
-
Dr Yulong Gao
-
Professor Pantelis Georgiou
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.
-
Dr Eleonora Giunchiglia
-
Dr Dan Goodman
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.
-
Professor Tim Green
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.
-
Dr Yunjie Gu
-
Professor Deniz Gündüz
-
Professor Andrew Holmes
-
Dr Imad Jaimoukha
-
Dr Adrià Junyent-Ferré
-
Professor Eric Kerrigan
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.
-
Professor Kin Leung
-
Professor Geoffrey Li
Wireless communications and deep learning
Using artificial intelligence (AI) to improve wireless networks and designing wireless networks to better serve various AI applications.
-
Dr Cong Ling
Information theory and cryptography
Post-quantum cryptography, which lies on the interface of information theory, cryptography, number theory and quantum information.
-
Professor Stepan Lucyszyn
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).
-
Professor Danilo Mandic
-
Professor Athanassios Manikas
-
Professor Krystian Mikolajczyk
-
Professor Paul Mitcheson
-
Professor Patrick Naylor
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.
-
Professor Mark O'Malley
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.
-
Professor Bikash Pal
-
Dr Christos Papavassiliou
-
Dr Sonali Parbhoo
-
Professsor Thomas Parisini
-
Professsor Tom Pike
-
Professsor Jeremy Pitt
-
Dr Chen Qin
-
Professor Esther Rodriguez-Villegas
-
Dr Giordano Scarciotti
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.
-
Dr Ad Spiers
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.
-
Dr Elina Spyrou
-
Dr Tania Stathaki
-
Professor Goran Strbac
-
Dr Oleksiy Sydoruk
-
Professor Richard Syms
-
Dr Fei Teng
-
Professor Chris Toumazou
-
Dr Stefan Vlaski
-
Dr Sen Wang
-
Dr John Wickerson
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.
-
Professor Eric Yeatman
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.
-
Dr Aaron Zhao