Meet the ART-AI team and read about their research interests and backgrounds.
Marina De Vos
Brent W Kiernan
Tom Fincham Haines
Alexandra de Sousa
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.
Hugh has been a Professor of Education and Political Economy at the University of Bath since 1996. He is a fellow of the Academy of Social Sciences (FAcSS), and has eleven books published.
Since 2005 he has given keynote presentations in over 17 countries, including World Bank in Washington, International Labour Office in Geneva, European Commission in Brussels.
Hugh is a visiting Professor at the University of Witswaterand, UCL Institute of Education, London University, the University of Turku, and at the Centre for Skills, Performance and Productivity Research, Institute for Adult Learning/Workforce Development Agency, Singapore.
Hugh was the director of the Institute for Policy Research, University of Bath, from 2014 to 2016, and has a long track record of successful doctoral supervision.
Political economy of skill formation.
Political economy of education.
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 Şimşek is a Senior Lecturer in Machine Learning at the Department of Computer Science, where she is Deputy Head of Department and the Leader of the Artificial Intelligence Research Group. Earlier, she served as Deputy Director at Bath’s Institute for Mathematical Innovation.
Before joining the University of Bath in 2017, Özgür was a research scientist at the Center for Adaptive Behaviour and Cognition at the Max Planck Institute for Human Behaviour in Berlin, Germany. She received her PhD in Computer Science in 2008 from the University of Massachusetts Amherst.
Her research spans a broad range of areas in machine learning, including reinforcement learning, supervised learning, learning from small data sets, and bounded rationality. Her applied and theoretical work in machine learning has appeared in leading venues, including Proceedings of the National Academy of Sciences, KDD, ICML, and NeurIPS.
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.
Dr Ainsworth is a behavioural psychologist working in using digital interventions to improve health behaviours. Recently he led the UK Government ‘Germ Defence’ project which used a digital behaviour change intervention to reduce COVID-19 spread. He is also interested in developing new analytical frameworks to measure and understand how (and why) people ‘engage’ with treatments, and how treatments can be optimised accordingly. He collaborates with researchers using AI (and broader digital solutions) to ensure it is acceptable and meaningful for patients and end users.
Non-pharmacological treatments for people with chronic health conditions (primarily respiratory disease)
Psychological and behavioural interventions in health
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 at the University of Cambridge, supervised by Prof. Mike Hobson. He also worked 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 is a Lecturer (Assistant Professor) in the Department of Politics, Languages and International Studies. She joined the University of Bath as a Prize Fellow in the Institute for Policy Research. She holds a PhD in political science from New York University and an MA 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.
Hilde has been a Professor in Politics at the University of Bath since September 2018. She previously held positions at the Free University of Brussels (VUB), Utrecht University and Victoria University of Wellington. She has also been a visiting scholar at various institutions, including the University of California Berkeley and Irvine, the University of Sydney, the Åbo Akademi University and the Leuphana University of Lüneburg. Hilde is associate editor of Gender and Politics.
Hilde’s main research interests include political behaviour, public opinion, political representation, and gender and politics. One strand of her current work investigates citizens’ support (in New Zealand and Germany) for initiatives to increase the political representation of women and ethnic minorities, e.g. through the introduction of quotas. She is also involved in an international research project looking at intraparty competition: https://www.helsinki.fi/en/researchgroups/intraparty-competition. Within the scope of this project, Hilde (together with Iulia Cioroianu) is looking at political candidates’ social networks and (with Åsa von Schoultz) at the effect of candidates’ characteristics on voters’ support for candidates. Other research projects focus on political representatives, with one study (together with Louise Davidson-Schmich) examining gender and political ambition and another study (together with Åsa von Schoultz) investigating the way that political candidates campaign and how that affects their electoral success.
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.
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.
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.
Ralph Hertwig is the Director of the Center of Adaptive Rationality (ARC) at the Max Planck Institute for Human Development in Berlin. He received his Ph.D. in Psychology from the University of Konstanz, Germany, in 1995. In the same year, he joined Gerd Gigerenzer’s research group at the Max Planck Institute for Psychological Research in Munich; in 1997, the group moved to the Max Planck Institute for Human Development in Berlin. In 2000, Hertwig received a fellowship from the German Research Foundation, which supported his research at Columbia University for three years. Hertwig obtained his Habilitation qualification from the Free University of Berlin in 2003, and in the same year became Assistant Professor for Applied Cognitive Science at the University of Basel, Switzerland. In 2005, he was appointed Full Professor of Cognitive and Decision Sciences.
Among other topics, he has examined models of boundedly rational decision strategies, smart methods to foster good decisions (“boosts”), and learning and experienced-based decision making. He has published in Science, Psychological Review, Psychological Bulletin and Psychological Science and numerous other journals.
Models of bounded and ecological rationality.
Decisions from experience.
The psychology of risk.
Lifespan development of decision making.
Evidence-based public policy (Boosting).
Dr. Janina Hoffmann joined the Department of Psychology at the University of Bath as a lecturer in Decision Science in 2019. She received her diploma in psychology from the University of Mannheim, Germany, and a PhD from the University of Basel, Switzerland. Before joining the University of Bath, she worked as an assistant professor at the Graduate School for Decision Sciences at the University of Konstanz.
Janina is a decision scientist with a strong background in cognitive science, experimental design, and cognitive modelling of behaviour. Her work aims to understand how humans evaluate, weight, and combine different pieces of information to make a judgment, decide between options or form an opinion. In doing so, she draws upon key insights from cognitive science and incorporates those insights into psychologically informed formal theories of human decision making. In future, this work will allow us to identify ways to improve human decision making.
Pejman Iravani is a Senior Lecturer in Mechanical Engineering. His research is in the area of Robotics, Computer Vision and Machine Learning. He is also Director of 3UG Autonomous Systems ltd. [www.3ugas.co.uk] a University of Bath spin-off delivering services in unmanned aerial systems navigation and risk minimisation.
Pejman’s current research is looking into the technologies that will make robots operational in real-world environments such as homes, workplace, hospitals and so on. His vision is that within the next 10-15 years robots will be doing most of the unpleasant jobs that currently humans are doing.
Pejman and his team are developing various technologies, including sensing materials for artificial skins, machine learning methods for robots to learn autonomously, and control methods to make robots safe when in close proximity to humans.
Olga is a Lecturer (Assistant Professor) in Artificial Intelligence at the University of Bath.
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. In 2017 her PhD thesis was selected for the Springer Thesis series. This series brings together a selection of the very best PhD theses from around the world and across the physical sciences. This thesis was then published as a book by Springer in 2018.
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.
Anthony started studying faces as an undergraduate at the University of Durham (1995-1998) where he examined the accuracy of personality judgements to faces from an evolutionary perspective. He continued his interest in face perception during an MSc at the University of Stirling (1998-1999) and then a PhD at the University of St Andrews supervised by David Perrett where he worked on evolutionary approaches to judgements of facial attractiveness and sexual selection (1999-2004). Anthony lectured for 2 years at the University of Liverpool in the school of biological sciences where he taught biological and evolutionary psychology before being awarded a Royal Society University Research Fellowship in 2005. He held a Royal Society University Research Fellow (2005-2013) at Liverpool and then moved to the University of Stirling to the School of Natural Science. Anthony moved to the University Bath in 2016 is currently a reader in the Department of Psychology.
Anthony is broadly interested in perception, especially faces and the information we extract from them. His work covers aesthetics and mate preferences, social cognition, cognition, and individual differences.
Christof is a Senior Lecturer in Human-Computer Interaction. He is Director of REVEAL, the REal and Virtual Environments Augmentation Labs, which is the VR/AR research centre at the University of Bath.
Christof’s main research interests are in the fields of Human-Computer Interaction, with a focus on VR/AR and sensors such as for eye gaze tracking. He is interested in applications of VR/AR technology in training, learning and mental and physical health. He is also interested in assistive technology such as systems that allow users to control computers with eye gaze.
Uriel Martinez Hernandez is a Lecturer in the Department of Electronic & Electrical Engineering, and in addition to ART-AI is also affiliated to the Centre for Biosensors, Bioelectronics and Biodevices (C3Bio), the Centre for Autonomous Robotics (CENTAUR), and the Electronics Materials, Circuits & Systems Research Unit (EMaCS).
He completed his PhD at the University of Sheffield, where he remains a Visiting Researcher. His early training was at the Center for Research and Advanced Studies of the National Polytechnic Institute (CINVESTAV) in Mexico.
Robotics, autonomous systems and machine learning, with particular interest in:
Tactile and vision perception for autonomous robotics
Learning and sensorimotor control in autonomous robotics
Multimodal human-robot interaction and collaboration
Intent recognition for wearable assistive robotics
Wearable robots for telepresence and telecontrol
Polly is a Biomechanist interested in muscles and tendons in human and animal locomotion, injury prevention and performance enhancement.
Polly’s research focuses on how the neuromuscular system powers and controls locomotion in humans and animals, how it changes with age and injury, and ways in which its performance can be enhanced through training and technology. This research is multidisciplinary in nature and has applications in many spheres of medicine, physiotherapy, veterinary, sports science and engineering. Specific current projects include:
Understanding muscle-tendon interaction and motor control in demanding dynamic tasks to prevent injury.
Changes in muscle architecture, mechanics and recruitment with age.
Technologies to assist in the rehbilitation of musculoskeletal injuries.
Preventing long term complications of lower limb amputation.
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.
Vinay is currently a lecturer in the Department of Computer Science at the University of Bath. Previously he worked in the engineering department of the Indian Institute of Technology, Kanpur, as well as Bell Labs Antwerp. He was also a Postdoctoral Fellow in KU Leuven with Prof. Luc Van Gool and obtained a PhD while being guided by Prof. Subhasis Chaudhuri.
Visual Recognition with Scarce Supervision.
Multi-modal Deep Learning.
Adversarial and Probabilistic Deep Learning.
Nick has extensive experience in policy research and government policymaking. He is an author and regular commentator on public policy in print media, and writes on a wide range of issues, from contemporary British politics, public service and welfare state reform, to Britain’s place in the world. His recent publications include Britain Beyond Brexit and Shadows of Empire: The Anglosphere in British Politics.
Nick was formerly Director of the Institute for Public Policy Research (IPPR), where he led a team of 45 staff producing public policy research in the key areas of public services, economic reform, the welfare state, migration, energy and environment, and politics and power. He co-edited the journal of ideas Juncture.
Nick was also Head of the No10 Downing St Policy Unit between 2008 and 2010, with responsibility for the formulation of policy advice to the Prime Minister. He led and managed the work of the Prime Minister’s 13 policy advisers, coordinating policy development and liaising with external stakeholders.
He has also worked as special advisor in the Home Office, Cabinet Office and former Department for Education and Employment. Nick was formerly chair of the advisory board to the UK Chief Scientist’s Foresight Programme and served on the Equalities Review and the Teaching and Learning 2020 Review.
Nick is a Fellow of the Academy of Social Sciences and an Honorary Fellow of the Royal Institution of British Architects. He is currently Chair of the independent Democracy and Civic Participation Commission for Newham Borough Council, and Chair of Trustees at both Tavistock Relationships and the Early Intervention Foundation.
Nick’s current research interests include:
The political economy of welfare state reform.
The idea of ‘Anglosphere’ in British history and politics.
British politics, including political parties, age divides in voting, and the politics of Britain’s relationship with the EU.
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 Alexandra de Sousa has a BA in Anthropology from Arizona State University, USA, and a PhD in Hominid Paleobiology (Evolutionary Neuroscience) from The George Washington University, USA, for which she conducted research at the C&O Vogt Institut für Hirnforschung, Germany. She has a far-reaching and interdisciplinary approach to understanding the evolutionary basis of brain function. Her research has been funded by the NSF (USA), the FCT (Portugal), the VWStiftung (Germany), as well as Atkins Global (industrial partner). She has built a strong track record in evolutionary neuroscience, in particular by investigating the brain organisation of understudied primate species. She develops procedures for quantifying complex aspects of brain structure and function including cytoarchitecture and cortical organisation. She champions the use of a phylogenetic approach in order to i) translate from animal-models and ii) test relationships between structure and function. She has also proposed a framework linking brain size organisation to cognitive function with fundamental implications for understanding species-specific variation in brain organisation.
Dr de Sousa founded the European Network for Brain Evolution Research to unite researchers across disciplines, and Brain Evolution in the News to improve the visibility of her field. She directs the Comparative Crossmodal Cognition Collective, through which she is developing new research directions for evolutionary neuroscience by linking it to applications in the built environment and technology development.
Alexandra’s research examines the relationship between human behaviour and brain structure. As an evolutionary neuroscientist, she approaches behaviour from “deep” anatomical and evolutionary frames of reference. Alexandra researches the emergence of human cognition from fossil, archaeological, and genetic records. Most recently she has focused on the neuroanatomical and comparative basis of cognition and its implications for well-being and inclusivity in the built and unbuilt environment.
She is keen to supervise self-motivated PhD students and postdoctoral researchers with similar research interests
Dr Dingguo Zhang is a Reader in Robotics Engineering, a Co-Director of Centre for Autonomous Robotics (CENTAUR), Department of Electronic & Electrical Engineering, University of Bath. His research interests include rehabilitation robotics, human-machine interfaces, and brain-computer interfaces. He serves as an Associate Editor for the IEEE Access, IEEE Trans. Human-Machine Systems, and Scientific Reports (Nature-Springer). He is a Topic Editor of Frontiers in Neuroscience and Frontiers in Robotics and AI. He is a senior member of IEEE (EMBS, RAS, SMC), and serves in three technical committees (BioRob, TST, BMI) of EMBS and SMC. He was a Board Member of International Society of Functional Electrical Stimulation (IFESS) and a Youth Commission Member of International Society of Bionic Engineering (ISBE). He was the winner of the Delsys Prize 2011 for achievements on EMG, and a finalist of BCI Award 2015 and 2020. He attracted large grants from the National Natural Science Foundation of China (NSFC) and the Ministry of Science and Technology (MOST) when he worked in Shanghai. He has authored over 180 papers and some were published in top biomedical and robotic journals including IEEE TNSRE, TBME, TMECH, TMRB, JBHI, JNE, NeuroImaging. He has owned 26 patents/software copyrights.
His research interests include human-machine interfaces, rehabilitation robotics, and biomechatronics.
After an undergraduate degree in Natural Sciences at Cambridge, Matt obtained his PhD at Cambridge in 2014 with Jonathan Goodman. In 2014, he took up an independent Girton College Research Fellowship at Cambridge. As a recipient of a Lindemann Trust Fellowship, Matt conducted postdoctoral research at UCLA (Houk group) during the full calendar year of 2015 before returning to Cambridge to continue his fellowship.
In 2018, Matt joined the faculty at the University of Bath as a Lecturer (Assistant Professor) in Drug Discovery in the Department of Chemistry. thegraysongroup.co.uk
Animal testing has historically dominated chemical safety assessment but more cost-effective, rapid and ethical alternatives are required.
If machine learning models are to replace animal testing, they need to be accepted by a diverse range of stakeholders (chemical industry, regulators and toxicologists). To reach acceptance, they must be transparent and provide clear insight into how and why predictions are made. Matt’s research focuses on combining computational simulations and machine learning to develop transparent models which are intelligible to all stakeholders.
Zoë has worked at the universities of Bath and Bath Spa. At Bath Spa she managed and coordinated conferences, events and summer schools. She moved to the University of Bath in 2019, to work as a research events officer for IAAPS (Mechanical Engineering).
Zoë has been the centre coordinator for ART-AI since April 2020. Her role is to ensure the smooth day-to-day operation and administration of the centre, supporting students through the entirety of their time with ART-AI through the recruitment process, induction and their first year of study, and PhD years. She also supports the development and continuation of partnerships between the University of Bath and external organisations, including industry, other universities and the public sector.
In 2021 Zoë won Support Staff Member of the Year at the University of Bath Education Awards.
Since graduating from Loughborough University, Christina has worked in the Events Industry for most of her career to date. More recently she worked as a Demonstrator in Events Management at Bournemouth University where she obtained a PG Cert in Education Practice and Fellowship to the HEA. She has now moved to the University of Bath and joined the ART-AI team as Events Co-ordinator and Public Engagement Officer.