Meet the ART-AI team and read about their research interests and backgrounds.
Marina De Vos
Brent W Kiernan
Tom Fincham Haines
Marina is a senior lecturer in the Department of Computer Science working in the area of artificial intelligence.
Her research area is knowledge representation and reasoning, using answer set programming, a logic-based declarative programming language, to model human/agent decision-making.
Currently, her work focuses on the modelling, the explanation and the verification of normative and policy-based reasoning in the areas of legal and socio-technical systems. In these systems participants, human and computational agents’ behaviour is guided by a set of norms/policies that describe expected behaviour. Non-compliance can be monitored and penalised while compliance is rewarded. Through a formal model, and corresponding implementation, the behaviour of the entire system can be proven and explained.
Beyond normative modelling, she is interested in the software development for AI systems in general and logic-based systems more specifically and their use in wider society.
Marina has supervised and co-supervised more than 10 PhD students. Within her research field she has organised a number of Doctoral Consortia and has been involved in mentoring PhD students from different institutions.
She is always keen to hear from committed students working in her broad research areas. She is more than happy to discuss ideas and work with potential students to flesh out their ideas and plans.
Symbolic artificial intelligence in knowledge representation and reasoning.
Modelling the knowledge or expertise available in a system rather than extracting information from large collections of data.
Verifiable, explainable AI.
Normative and policy-based reasoning in the areas of legal and socio-technical systems.
Combining symbolic and statistical AI.
Brent has worked at the universities of Cambridge, Nottingham, Sheffield, Leicester and Warwick. At Warwick, he was involved in the administration and management of the Systems Biology Doctoral Training Centre and the EPSRC Centres for Doctoral Training in Integrated Magnetic Resonance and Diamond Science and Technology. He moved to the University of Bath in 2017, firstly as manager of the EPSRC Centre for Doctoral Training in Digital Entertainment. He has been Centre Manager of ART-AI since its foundation.
Eamonn is Professor of Computer Science and former Head of the Department of Computer Science. Current projects include investigating potential feedback loops between human and machine learning, and understanding perception, salience and attention in virtual environments. He has led large interdisciplinary projects and technology transfer activities over many years. Examples include the Cityware project involving Bath, Imperial, UCL and companies including HP, Vodafone and Nokia. He was Academic Coordinator of the EPSRC/Mobile VCE Research Programme in User Interactions for Breakthrough Services, involving the universities of Bath, Bristol and Glasgow, the London School of Economics, HMGCC and companies including Alcatel-Lucent, BBC, Fujitsu, Huawei, NEC, Nokia Siemens Networks, Orange, Thales, Toshiba, Turner and Vodafone. He has held a Royal Society Industry Fellowship and an EPSRC Knowledge Transfer Fellowship with Vodafone Group R&D, producing UK, European and US patents on intelligent, interactive mobile services, and is currently working with commercial, academic and other partners.
Eamonn’s research covers the range of technological, cognitive and social challenges and opportunities that interactive and intelligent systems offer. His main research interests are in developing, evaluating and understanding innovative forms of human-technology interaction and technology-mediated human-human interaction. Key topics involve innovative forms of human-technology interaction and technology-mediated human-human interaction, including interaction with intelligent machines and software. Current projects include investigating potential feedback loops between human and machine learning, and understanding perception, salience and attention in virtual environments.
Emma works at the intersection of sociology, politics and political economy to investigate how social and political order is imagined, produced and contested in a range of empirical contexts.
There are three strands to her current work. First, theorising governance and governance analysis as regimes of governing practices. Second, she has a new strand of research investigating the socio-political implications of emerging digital statehoods and the use of digital and algorithmic tools as governing practices. Third, she continues her long-standing work on how governance of migration shapes social relations and political economy in/beyond Europe. Emma has particular methodological expertise in qualitative comparative research.
Emma has supervised and co-supervised more than 10 PhD students, and has twice been nominated for a university prize for excellence in doctoral supervision. She is always keen to hear from committed students working in her broad research areas.
Governance analysis: society, politics and policy
Digital statehoods: AI and automation as governing practices and their implications
Migration governance and the production of socio-political order(s) in the EU and beyond.
Alan was born in New Zealand and studied at the University of Canterbury (NZ), obtaining a BE (Hons I) degree in electrical and electronic engineering in 2001 and a PhD on synthetic aperture sonar (SAS) in 2006. He left New Zealand for Europe in 2007.
For the next three years, Alan was a research associate at the University of Bristol, where he worked with ultrasonic arrays for non-destructively inspecting engineering components. Here, he developed auto-focusing algorithms for imaging the interiors of objects with complex geometries and material properties.
In 2010, he moved to the Netherlands and spent four years as a defence scientist at TNO (Netherlands Organisation for Applied Research) in The Hague. At TNO, he developed underwater technologies for the Royal Dutch Navy, including sub-sediment imaging sonar, diver detection sonar, and autonomous naval mine-hunting systems.
Before returning to England in 2014, Alan spent three months in La Spezia, Italy, as a visiting scientist at the NATO Centre for Maritime Research and Experimentation (CMRE). During this time, he developed precision micro-navigation algorithms for SAS imaging of the seafloor over repeated passes.
His research interests are in underwater acoustics, signal processing, imaging, and machine intelligence. He is particularly interested in applications in underwater remote sensing using sonar and marine robotics.
Julian started programming as a teenager, sending punch cards by post to Imperial College, which lead to doing Computer Science at Leeds and then a PhD at Bath. Initially, his research was in symbolic computation, computer algebra and parallel and distributed systems. His focus shifted to AI, specifically intelligent agents and virtual institutions in the mid 1990s, which currently takes the form of policy modelling, legal reasoning and the safety and transparency of symbolic and statistical AI systems.
Agent architecture; agent-based simulation; norm representation and reasoning; distributed ledgers; fusing symbolic and statistical AI; policy modelling; security and privacy; models of narrative.
Özgür did her PhD at the University of Massachusetts and is a senior lecturer in the Department of Computer Science at the University of Bath.
Peter Wilson is Professor of Electronics and Systems Engineering in the Department of Electronic and Electrical Engineering.
He received his BEng from Heriot-Watt University, MBA from Edinburgh Business School and PhD from the University of Southampton, and has industrial experience at Ferranti, GEC-Marconi, and Analogy, Inc. Before coming to Bath, he was Associate Professor at the University of Southampton in the School of Electronics and Computer Science.
He is a Fellow of the IET, Senior Member of the IEEE, and is currently serving as Executive Vice President of the IEEE Power Electronics Society. He has been the Technical and General Chair of the IEEE Workshop on Behavioral Modelling and Simulation, and also held numerous leadership positions at conferences including ETS, EBTW and FDL.
He has published more than 150 academic papers, three books and a patent, and has been principal investigator on numerous EPSRC grants. He is the supervisor of the Team Bath Racing Electric (TBRe) formula student electric racing team at Bath, co-supervisor of the Bath Zero Emissions Motorcycle racing team, and leads postgraduate teaching developments in the Department of Electronic and Electrical Engineering.
Professor Wilson’s current research interests include behavioural modelling and simulation, power electronics system modelling and analysis, autonomous systems and robotics, intelligent systems, neuromorphic computing, renewable energy system design and analysis.
Joanna is interested in Intelligence. She is widely recognised for her expertise in both building AI, and in understanding and regulating its impact on society. She also publishes on cognition and cooperation in nature, largely from an evolutionary perspective.
Agent based modelling of economic and cooperative behaviour, including explaining the correlation between political polarisation and income inequality.
Improving transparency for applied real-time AI, particularly domestic products such as robots, games, and service interface avatars.
Neill is a Royal Society Industry Fellow and works in the Department of Computer Science as a Reader (Associate Professor) in Visual Computing and Machine Learning. He is an investigator in the CAMERA research centre and the Visual Computing Group as well as a co-director of the university’s research centre in Mathematics and Algorithms for Data.
Neill is interested in the modelling of shape and the use of machine learning techniques applied in the domain of computer vision (processing images from the real world) and graphics (creating and manipulating new images). Shape is such a fundamental component of graphics and vision that research in this field unifies the two subjects and there is obviously a great advantage to solving problems in both areas simultaneously since they help one another. His latest ongoing research aims to learn automatically models of both man-made and natural shapes, and produce intelligent systems that make it easier to process, create and manipulate images.
Prior to joining Bath, Xi worked primarily as a Research Associate in the Cavendish Laboratory supervised by Prof. Mike Hobson and jointly as a Research Scientist in the Shell Technology Centre Amsterdam led by Chief Scientist of Computation and Data Science Prof. Detlef Hohl, working on statistical machine learning R&D for quantitative modelling and uncertainty quantification with applications in the oil/gas industry. Currently he holds a guest researcher position in the Cavendish Laboratory.
Bayesian inference and modelling
Machine learning/deep learning
Statistical signal processing
Monte Carlo numerical methods
Dr. Iulia Cioroianu has recently joined the University of Bath as a Prize Fellow in the Institute for Policy Research. She holds a Ph.D. in political science from New York University and an M.A. in political science from Central European University. Before joining the IPR, she was a research fellow in the Q-Step Centre for quantitative social sciences at the University of Exeter, and a pre-doctoral fellow in the LSE Department of Methodology.
Iulia is a social data scientist who studies the effects of social media and online information exposure on political competition and polarization using natural language processing and quantitative text analysis, machine learning and survey experiments.
Darren is a Professor in Computer Science at the University of Bath (since 2017). Previously he was a Lecturer (Assistant Prof./US) in Computer Science from 2012, and a Reader (Associate Prof./US) from 2014. He has been fortunate enough to be awarded two previous Research Fellowships: Royal Academy of Engineering, 2007-2012, and Royal Society Industry Fellowship (with Double Negative Visual Effects), 2012-2016.
He is currently the Director of the Centre for the Analysis of Motion, Entertainment Research and Applications (CAMERA), funded by EPSRC/AHRC, with partner contributions from The Imaginarium, The Foundry, British Skeleton, Ministry of Defence and British Maritime Technologies.
His research interests are in the convergence of computer graphics, animation, computer vision and psychology. He is particularly interested in applying these fields to the development of virtual humans, human realistic facial animation, motion planning and behavioural modelling.
Tom did his PhD at the University of York, where he worked on combining multiple images and shading information to generate 3D models of objects. He then moved to Queen Mary to apply machine learning techniques from natural language processing to CCTV footage to find unexpected behaviour. After that he worked in graphics at UCL, in particular replicating the specific handwriting of individuals. He is now a lecturer in machine learning at the University of Bath.
Tom applies machine learning to a wide selection of problems, particularly those involving computer vision and graphics. He has strong interests in graphical models, Bayesian non-parametric models, directional statistics and active learning.
He is currently especially interested in projects involving tools to help artists, machine learning for education, online/real-time machine learning, causality, and scaling non-parametric methods to big data.
Alinka is an Associate Professor in Social Work at the University of Bath, specialising in child trafficking and child protection social work.
She is a member of the Global Association of Human Trafficking scholars. Her research is cross-disciplinary analysing policy and practice responses to child protection and modern slavery, and exploring children and young people’s experiences of services.
Prior to this she gained extensive experience in social work practice with children and families, specialising in child protection, child abuse and exploitation.
She supervises a wide range doctoral students on projects that explore child migration, child protection and child welfare. She is willing to supervise topics that may include child abuse and trauma, exploitation, trafficking, migration and modern slavery.
Her research in child trafficking and modern slavery is a crosscutting social issue, relevant to policy areas of child protection, child migration, criminal justice, immigration, social policy and human rights. This research engages with how children experience contemporary childhood and adolescence in a globalised world and considers the cross-national contexts of separated children, migrating across borders. Her interests lie in qualitative child-focused research exploring children’s worlds, child protection and children’s rights.
Olga is a Lecturer (Assistant Professor) in Artificial Intelligence at University of Bath, UK.
Prior to this she was a postdoctoral researcher in the machine learning group at the University of Oxford.
She completed her PhD degree at the University of Sheffield. Her PhD thesis is selected for the Springer Thesis series. She has a specialist degree (equal to MS) in Applied Mathematics and System Programming from Lomonosov Moscow State University.
Unsupervised machine learning: anomaly detection, topic modelling, sparse modelling, representation learning
Bayesian statistics and Bayesian nonparametrics
Machine learning for environmental protection and conservation
Banafshé Larijani is the Director of the Centre for Therapeutic Innovation (CTI), and the co-founder of FASTBASE Solutions S.L.
Her laboratory, Cell Biophysics, is currently bridged between the Department of Pharmacy and Pharmacology at the University of Bath and The Biophysics Institute (Instituto Biofisika) at the University of the Basque Country, Spain. From 2002 she was Head of the Cell Biophysics Laboratory at Cancer Research UK, was appointed Senior Scientist in 2012 and in 2014 was awarded an Ikerbasque Research Professorship where she moved her laboratory to the Biophysics Institute and the Research Centre for Experimental Marine Biology and Biotechnology (PiE), Bilbao, Spain. She holds adjunct professorships with Stony Brooks University NY and University of Massachusetts, Amherst MA (USA).
Her laboratory investigates the role of phosphoinositides and their metabolites, both as second messengers and as modulators of membrane morphology. The outcomes of her fundamental research involving the application of quantitative imaging (FRET-FLIM) for investigating molecular mechanisms of phosphoinositide-modifying and phosphoinositide-dependant enzymes have resulted in their application to various clinical objectives.
Wenbin is a lecturer (Assistant Professor) in Visual Computing and Robotics, and a member of the Visual Computing and Artificial Intelligence groups. He was a Postdoctoral Research Associate at Imperial SRL 2016-18 and UCL PRISM 2014-16 respectively. He received his PhD from Bath in 2013, his MSc at Imperial in 2009, and his BEng at Xidian in 2008.
Wenbin’s research interests mainly lie in general autonomous systems and their applications in manufacturing and professional capture, including research in multi-sensory based localization and mapping, dynamic motion capture, as well as uncontrolled scene understanding and fabrication. Those exiting topics could be broadly relevant to the fields of robotics, computer vision, graphics and machine learning.
Dr Metcalfe was an RB & SE Whorrod scholar as well as the B Nicholson scholar at the University of Bath. He has worked as a consultant engineer on many low-power signal processing projects and has been awarded multiple patents in this area. His research interests lie in the areas of biomedical signal processing and neural engineering. Potential PhD students interested in these areas should contact Dr Metcalfe directly.
Advanced neural interfaces
Biologically inspired autonomous systems
Biomedical signal processing for both in-vivo and ex-vivo applications
Neuronal modeling and computing
Sarah joined the University of Bath in 2015, having previously held lectureships at Royal Holloway, University of London and Queen’s University, Belfast. In 2009 she was a Visiting Fellow at Yale University’s Center for Cultural Sociology, and in 2019 she was a Visiting Fellow at the Australian National University’s Humanities Research Centre.
Sarah’s research interests range across the sociology of crime and justice and the sociology of health:
The place and role of the public in the courtroom, and in twenty-first century public policy more broadly.
The effects of the retrenchment of legal aid.
Gender and risk.
Dr Michael J. Proulx is Reader in Psychology and Director of the Crossmodal Cognition Lab at the University of Bath. He is also co-founder of the Real and Virtual Environments Augmentation Labs (REVEAL Research Centre).
He received his BS in Psychology from Arizona State University and his MA and PhD in Psychological and Brain Sciences from Johns Hopkins University. Michael was a postdoctoral research fellow in Duesseldorf, Germany, and a Lecturer in the School of Biological and Chemical Sciences, and Visiting Lecturer in Electronic Engineering and Computer Sciences, at Queen Mary University of London before moving to Bath.
He is an elected Fellow of the Society for Experimental Psychology and Cognitive Science of the American Psychological Association, Associate Fellow of the Royal Institute for Navigation, and the recipient of a New Investigator Award in Experimental Psychology: Human Perception and Performance from the APA. He was also honoured as a torchbearer for the London 2012 Paralympic Games for his research and applied work on visual impairments.
His main research interests are in the cognitive science of interactive technology and human behaviour, with a particular interest in multisensory cognition. This includes using methods from psychology and neuroscience to study augmented and virtual reality, evaluate assistive technology for sensory impairments, and to model sensory processing.
Dr. Zhang is an IEEE senior member (EMBS, RAS, and SMC) and an IFESS lifetime member. He is a board member of IFESS, and a youth commission member of ISBE. He serves in 3 technical committees of EMBS and SMC. He is an associate editor (or editorial board member) of 3 journals: IEEE Access, IEEE Trans. Human-Machine Systems, and Scientific Reports. He is a topic editor of Frontiers in Neuroscience.
His research interests include human-machine interfaces, rehabilitation robotics, and biomechatronics.