Who we are

My background is in Public Health, Health Promotion and Health Services Research. My research interests include sexual health, digital health interventions at the interface with patients and the public (i.e. for the delivery of healthcare and for health promotion), and the development and evaluation of complex interventions.

I use a wide range of methods and methodological approaches in my research. I enjoy inter-disciplinary and collaborative research, and I'm experienced in co-ordinating multi-institutional research projects.

Current and recent projects include:

Health Systems Analysis of Barriers and Readiness of Sexual and Reproductive Health (SRH) Services in COVID-19 affected areas. I'm a collaborator and researcher on this WHO-funded international study. To find out more about what we're doing in the UK part of the study, click here

Partnerships in the pandemic, and Pilot Evaluation of the Paired app - with collaborators at the Open University

Study co-ordinator for the Living Well with Frailty Experiences (LiFE) Study (Co-designing person-centred frailty interventions with community-dwelling older people and health professionals), a collaboration between Brighton, De Montfort and Birmingham City universities - funded by the Burdett Trust for Nursing.

Experiences of living with Motor Neurone Disease (MND) and receiving services in Sussex

Systematic reviews of interactive digital interventions for sexual health promotion and HIV prevention (at UCL)

An investigation of the use of simulated training to enhance clinical leadership skills within the residential care sector (funded by the Burdett Trust for Nursing - completed)

Investigating ethnic inequalities in sexually transmitted infections (at the NIHR Health Protection Research Unit for Blood-Borne and Sexually Transmitted Infections - UCL & Public Health England)

Sustainable healthcare practice

Heather is particularly interested in researching the sustainability of critical care practice to generate a more robust evidence-based to inform how to maintain quality critical care while sufficing within the limits of available environmental, financial and social resources.  Her PhD thesis presented a conceptual framework of sustainability in critical care based on qualitative grounded theory research which explored the subjective perspective of people working in critical care.  The PhD research findings are now being used to develop further studies focused on environmental sustainability under the umbrella title of the GREEN-ICU research project (GREeater ENvironmental sustainability in Intensive Care Units).  Heather is leading the GREEN-ICU research studies as a collaborative project, with the first phase currently in the proposal stage.

Heather is an active member of the School of Health Sciences Sustainability Special Interest Group which includes planning and delivering the annual SHARE conference to provide researchers, clinicians, academics and students an opportunity to disseminate research and enterprise outputs related to sustainability and health or healthcare practice.

In addition to research about reducing the carbon footprint of healthcare, Heather is also interested in the interlinks between financial and social sustainability of critical care.  Social sustainability includes sustaining staff as a people resource, and she recognises the need for further research about the resilience, agility and durability of staff to promote a healthy and flourishing workforce of healthcare practitioners. 

Critical care clinical practice and education

Heather has further research interests in clinical practice and education related to critical care nursing, drawing from her previous experience as a clinical nurse and her current role leading the Intensive Care Pathway at the University of Brighton.  She is interested in collaborating with other critical care researchers on projects addressing clinical outcomes, as well as patient and family experiences during the intensive care unit, rehabilitation and recovery stages of critical illness or injury.

Research interests include visualizing complex data, automated data visualization, theoretical techniques for visualizing data, visualizing social networks.

Expertise in the following areas:

• Software Development
• Game Development
• Computer Science
• Data Visualization

Recently, I've been working on hand tracking and gesture recognition to control software. I'm currently leading the development of the Robotics AI lab in Computing and would be interested in any projects that contribute to Robotics and/or AI.

Healthcare Innovations, Health System, Qualitative Research, Human Centric Digital Interventions, Older people care, Phenomenology, Life World Perspectives.

My curriculum interests encompass the theories and principles that underpin the discipline of user experience design, UXD. To this end, I am the course leader of the University of Brighton's MSc in UXD. Primarily, this course equips students with the practical skills to work as effective UXD practitioners within the interactive / digital industries. Further, students are encouraged to critically reflect upon and question the effectiveness of contemporary thinking that underpins UXD best practice.  

My research interests focus upon the efficacy of diagrams. My PhD explores the impact of graphical choices on diagram comprehension. Presently, I am collaborating with colleagues from Cambridge University on a project entitled ‘Accessible Reasoning with Diagrams’; the project is funded by The Leverhulme Trust https://sites.google.com/site/myardproject/ . I am also collaborating with colleagues from Jadavpur University charting the cognitive processes active when interpreting diagrams.

My research focuses on logical diagrams (e.g. Euler and Venn diagrams, existential graphs). This includes formalising graphical languages for problems such as software specification and ontology egineering, testing their effectiveness and analysing the way that such notations communicate information. The latter analysis uses results from empirical studies but also cognitive science, semiotics and the philosophy of notation.

Dr. Fadi Castronovo is a Senior Lecturer in the Built Environment at the University of Brighton. His research focuses on using innovative technology (e.g. information modelling, virtual and augmented reality, educational games, and advanced visualization) to enhance the delivery process of facilities and infrastructure, from architectural and engineering design to construction and operation management. His research has also focused on intersecting with educational psychology by developing technology-based interventions and assessing their impacts on the advancement of STEM education.

My current research is in the area of machine learning, including both mathematical foundations and applications. Prediction with expert advice and topological data analysis are my main topics of interest. 

Prediction with expert advice is a paradigm for sequential forecasting that studies how one can merge predictions from different sources when reliability of these sources needs to be inferred from the predictions themselves. This paradigm is close to online bandits and related to many other machine learning techniques, from ridge regression to boosting. I am particularly interested in direct applications for prediction with expert advice algorithms.

Topological data analysis is a relatively recent but already mature area of machine learning that tries to apply notions from topology, a highly abstract branch of pure mathematics, to finding patterns in point clouds. Currently, I am working mostly on expressing topological data analysis ideas in the form of kernels inducing a reproducing kernel Hilbert space structure on data.

I am also remaining interested in the developments in both of my original research areas: algorithmic information theory / Kolmogorov complexity and constructive logical semantics.

Natalie combines epidemiological methods for health services research with a critical approach and qualitative methods. Her interests include the interface between sexual and reproductive health with psychosocial issues, public health, community delivery of sexual health interventions, Point of Care Testing for STIs, problematic substance use and anti-microbial resistance (AMR). Methodologically she is interested in screening tool development, clinical prediction modelling, development and evaluation of complex interventions, the evaluation of public involvement in research, and researching disenfranchised populations. Natalie has been developing a critical epidemiology approach to sexual health research and more recently Trauma and Resilience Informed Research Principles and Practice (TRIRPP). You can read more about TRIRPP here http://blogs.brighton.ac.uk/trirpp/.

Sanaz's research interests include human-centred development of new technologies that incorporate studies of user's experiences, cognition and collaboration in designing a novel intelligent systems delivered via multiple platforms: mobile devices, interactive television, tag-based technologies, wearable technologies, and robotic interactions. Some related themes of her research include Human Computer Interaction, Intelligent Tutoring Systems (ITS), User’s Modelling and Adaptation, Human Robotic Interactions, Intelligent Interaction Modelling, Data Analytic and Sentiment Analysis, Artificial Intelligence Ethics for Development of Human Centred AI-based Systems.

Key Research Themes:

• Human Computer Interaction (HCI),
• Artificial Intelligence (AI),
• User Experience (UX),
• Machine Learning (ML)

Current Research & Development Projects:

•  Artificial Intelligence Ethics:  Development of Evidence-based, Empirical-based Ethical Guidelines for Design and Development of AI-based Systems.

• Evaluation and testing of Sport Technologies, factor including usability and beyond usability, including brain/cognitive performance using EEG devices. The project aims to develop a set of guidelines for sport tech industry to incorporate in design of human centred technologies, to maximise usability, and beyond usability, i.e. efficiency, effectiveness, user satisfaction, and cognitive performance. 

• Research project with University of São Paulo, Universito of Chile, Es el Senor Vagner de Sousa Beserra. Colaboración Internacional para el desarrollo de la Televisión Digital Terrestre Educativa en Chile - to develop an International consortium to explore a potential of educational application for digital television (DTV).

• Sentiment Analysis and Data Mining of Educational Application from Twitter, University of Portsmouth, and Edge Hill University.

• Empirical study to investigate and evaluate Human Robotic Interaction, mainly aspects of usability in terms of, technology acceptances, efficiency, effectiveness and user satisfaction.

• User-centred development of Cognitive Analytic Therapy (CAT), in collaboration of Brighton and Sussex Medical School.

• Smart ambient – development of location based informal learning through mobile and ubiquitous technologies in collaboration of University of Portsmouth and University of Al-Mustansiriyah.

• Brain Computer Interface (BCI): Experimental study to evaluate cognitive loads and performances of users using technologies in edutainment and digital well-being (in particular, mobile apps and wearable technologies)

Visual representations and their applications in Mathematics and Computer Science, but with developing connections in Engineering and to the Arts. Research areas of (collaborative) research interests include:

• Topology (e.g. Combinatorial and Computational Knot Theory)
• Discrete Mathematics (e.g. Algebraic formalisms, Graph Theory, Algorithms)
• Visual Languages and Interfaces
• Information and Data Visualization
• Automated Reasoning
• Machine Learning
• Security & Privacy
• Industrial Informatics
• Applied Statistics.

Dr Fotaris's research interests focus on the integration of technology in teaching and learning, particularly in the use and pedagogic potential of games, escape rooms, and virtual/augmented environments in educational settings. A representative list of research interests is the following:

• Educational Escape Rooms
• Game-Based Learning / Gamification / Location-based Games / Alternate Reality Games
• Augmented / Virtual Reality
• User Experience (UX)
• Design Thinking
• Cybersecurity

Digital Health technologies are promising to have a profound effect on how health services are delivered, allowing people to manage their health more effectively, providing effective ways of diagnosing disease, monitoring the impact of policies on population health, resulting in improved accessibility, affordability, and quality of health care. Still, the introduction of these technologies comes with challenges and experience resistance and slow adaptation.

Theo’s specialising on Digital Nursing and Digital Health.

His research interests lie in the intersection of Health Care and Digital Technologies and his focus is on the field of co-producing and evaluating Digital Health Technologies through Digital Health Living Labs and accelerating innovation.

In particular, his research focuses on the following areas:

• Digital Health Living Labs. The work in this area is concerned with the development of Living Labs as ecosystems of open innovation through co-production with citizens.

• Evaluation of Digital Health Technologies. I am interested in developing new approaches and tools for the trialing and evaluating new technologies such as wearables and sensors and their use as health care tools.

• Digital Ready Healthcare Workforce. Based on the Digital Nursing term I coined in 2015, the aim of the work is to utilise the Living Labs as spaces for undergraduate and postgraduate health care students to work side by side with citizens on developing innovation skills and conduct research.

• IoT, Cyber-Physical, and Cloud Computing Security in Health Care. I am interested in exploring the role of the end-users as vulnerable actors in security attacks, threat discovery and response, and their educational requirements.        

Recent and ongoing projects include:

• EMPOWERCARE involving 13 cross border European partners. It is part of the Interreg VA 2Seas Mers Zeeën and has been awarded more than 4 million euros in funding by the European Regional Development Fund. The project involves partners coming together to co-create and test social innovations and digital health solutions to make local services more efficient and effective to address societal challenges in the 2Seas area.
• Digital Health Living Lab, initiated at Leach Court and expanded in more areas in Brighton. Living Labs offer an arena for developing and testing prototypes or more mature digital health products and services, through co-production with citizens, that have the potential to improve welfare services, reduce financial pressure to public sector services and to enable healthy living as a whole. The project was funded by the KSS AHSN Darzi Fellowships.
• the development of a Living Lab situated at The Bevy, aiming to explore and tackle social isolation and loneliness. The partnership will build on the experience of the Bevy in starting to tackle loneliness through different community initiatives and the university’s experience of the Brighton and Hove Digital Health Living Lab. It will enable the Living Lab to innovate from a domestic space – working with older people in sheltered accommodation – to also being located in a quintessentially British public space – the local pub. The project was funded by the UoB Community University Partnership Programme (CUPP)
• INNOVATEDIGNITY-ITN project led by Professor Kathleen Galvin where I am a member of the supervisory team. The purpose of INNOVATEDIGNITY-ITN funded by the European Commission (2019–2023) is to develop a shared research and training agenda in order to educate the next generation of interdisciplinary health care researchers and care leaders across Europe. The project is a response to the Europe wide need to provide sustainable and dignified care for older people at home and in residential, municipal and hospital settings.

Dr Hamie’s main research area is formal aspects of software development covering requirements, design, verification and validation. Modern software development requires the design and analysis of a number of different artifacts. The use of formal techniques and methods facilitates the precise formulation of these artifacts. His research involved many aspects of software engineering including specifications patterns, design by contract, and the formal semantics of object-oriented notation such as UML . In particular he developed  a translation between  The Object Constraint Language  OCL (part of UML)  and  The Java Modeling Language  JML,  that facilitates the validation of designs at the implementation level.

"If you must choose one single idea to work on for the rest of your life, what will that be ?"

In 2003, my grandma passed away with severe dementia. At the time, there was no existing technology to help communicating her daily needs, or her whereabouts for the carer to attend to swiftly. It was a struggle for my family to provide her the end-of-life care that she deserved.

For the past decade, my research has been around navigation and tracking, with an emphasis on contact tracing and healthcare monitoring. I have developed novel, practical systems combining the ubiquitous mobile sensors with machine learning.

Since 2017, I have published on average 3 papers, journals a year, most of them as the lead author. See here for a full list of my publications.

Reviewer for:

• IEEE Wireless Communications and Networking Conference (WCNC).
• IEEE Access Journal.
• IEEE Journal on Selected Areas in Communications (J-SAC).
• Pattern Recognition Journal, Elsevier.
• Journal of Information and Telecommunication, Taylor & Francis.
• ACM Journal on Interactive, Multimedia, Wearable and Ubiquitous Technologies (IMWUT).
• Symposium on Conformal and Probabilistic Prediction with Applications.
• Journal of Location Based Services, Taylor & Francis.
• Sensors Journal, MDPI.
• International Journal of Environmental Research and Public Health, MDPI.

My main research focuses on the engineering of secure and trustworthy systems that ensure data privacy. My research interests are in the area Cyber Threat Intelligence (CTI), Artificial Intelligence (AI) for Cyber Security, Threat Modeling, and Security Requirements Engineering. I study methods, tools, and techniques that support engineers in the development of systems that are secure and protect data privacy

Current research projects:

• DEFeND - A data governance framework for supporting GDPR - H2020 - https://www.defendproject.eu/

Previous research projects:

• VisiOn - Visual Privacy Management in User Centric Open Environments - H2020 - https://cordis.europa.eu/project/id/653642
• MITIGATE - Multidimensional, IntegraTed, rIsk assessment framework and dynamic, collaborative Risk ManaGement tools for critical information infrAstrucTurEs – H2020 - https://cordis.europa.eu/project/id/653212
• DEFTRUST – DEsigning For TRUST – EPSRC & BT funded

Machine learning, cybersecurity.

Gabriela is an algebraist with logician tendencies. She is interested in group theory and combinatorics, often as related to formal languages, but also other structures, such as knots. 

She is also interested in mathematics education and the construction of mathematical knowledge - how do we, as humans, communicate in the context of mathematics, how does this reflect in the materials produced, and how does it translate to prospective members of the mathematical community such as students?

My research interests include the development and application of computing technologies for the digitisation of objects and environments; the information management, analysis, search/browse visualisation of visual representations, including 2D and 3D content; as well as their physical reproduction using digital fabrication. A focus of the research is the Cultural Heritage (CH) sector and its related applications such as creative applications, art, culture, education and tourism. I have produced research outputs in interdisciplinary areas such as computer graphics, information and knowledge management as well as cultural heritage.

I am the Director for the Centre for Secure, Intelligent and Usable Systems, and serve in various bodies and international committees in these areas, including as Workshops Board Chair at the Eurographics Association, and Chair of the Eurographics Steering Committe for Graphics and Cultural Heritage. I am a member of the Editorial board and information Director for the ACM Journal of Computing and Cultural Heritage (JOCCH). I have been past programme chair of International Symposium on Virtual Reality, Archaeology and Intelligent Cultural Heritage (VAST) and review regularly for conferences, journals and national and international funding bodies.

As an Associate Dean, I am supporting the Dean of the Brighton Business School in the development, implementation and monitoring of the School Research and Enterprise plan. I am also working with colleagues on publications, proposals and collaborations within the university and with external partners as well as career development in research. In my own research as an applied economist, I am focusing on returns to education investment in a time of accelerated technical and demographic change. Using large-scale data, this work investigates the earnings and employment outcomes of vocational education and apprenticeships for young people as well as labour market retraining for people in adult life. My main motivation is to understand how education and skills in these areas can be improved, so that people work in well-paid and highly productive jobs, which will help reduce earnings inequality and social inequality more widely, for a fairer society. Most of my work has been published in scientific journals, discussion papers and government reports. A complete list of my research publications can be found on Google Scholar:https://scholar.google.co.uk/citations?user=MeWDVYYAAAAJ&hl=en&oi=ao

Broadly speaking, my research interests and activity falls within the areas of biostatistics, categorical data analysis, high-dimensional statistics, and statistical genetics focusing on statistical methods for multivariate or high-dimensional data. In particular, I am interested in developing regression techniques for correlated responses, estimation methods of large covariance matrices, and hypothesis testing procedures in high-dimensional settings. Although my research is motivated by cross-disciplinary collaborations with biologists, bioinformaticians, computer scientists, and doctors, it finds application in a wide range of studies, including studies in social sciences, health studies, and omics-studies among others. I disseminate the developed methods in R packages that are contributed to the R-CRAN and Bioconductor projects.

My research explores ubiquitous computing and machine learning applications in the contexts of education, cultural heritage and public engagement. Taking a human-computer interaction perspective, it investigates issues around awareness, engagement, agency and digital inclusion in pervasive and intelligent computing environments. Visit my profile page to browse current and past projects.

Hanan Alsawagh is a PhD student at the University of Brighton. She received an award from Ministry of Defence of Kuwait to pursue her Ph.D. project. This research is an investigative study about Kuwaiti women living experience of breast cancer in Kuwaiti, and the use and impact of social in their lifes as women with breast cancer. Hanan will apply a phemenlogicla approach and a qualitative method of collaborative inquiry, one-on-one and focus group discussions, to better understand women’s experiences of breast cancer in the Arab world.

Sound artist, field recordist and EPSRC funded SEAHA Centre for Doctoral Training interdisciplinary heritage science researcher, exploring audience engagement in mobile immersive audio experiences created at the urban outdoor heritage site of Brunswick Square in Brighton & Hove. Working with industry partner Echoes and heritage partner The Regency Town House to compose public 3D prototype soundscapes experienced through the Echoes mobile application. Research interests in composition, field recording, acoustic ecology, heritage and conservation, and art and design.

My research is in the area of the representation of knowledge, and the use of the web and digital technologies to make research outputs more transparent and reusable. My approach is influenced by science and technology studies and the insights it has given into the construction of knowledge claims. Focusing on the field of cultural heritage and archaeology in particular, my research considers how cultural heritage representations can cope with variations in certainty and support different interpretative narratives and knowledge perspectives.I'm using my background in software design and development to study how practical web tools can help with the sharing of research processes and assumptions, with the goal of making published outcomes more reinterpretable and reusable. I aim to release open-source software tools as part of my research.This subject area has strong connections with the open scholarship movement, and I am interested in the relevance of the reproducibility agenda in science research for non-scientific contexts.

My PhD research is funded by the David Arnold Scholarship.

Given a Machine Learning prediction, how confident are you that it is correct?

Often, we assume that models will be about as successful on future samples as they are on their training data. Without uncertainty quantification, ML's application in the safety-critical healthcare setting can be unreliable.

In contrast, Confidence ML associates individual predictions with confidence levels to provide guaranteed error probabilities per sample. My research centres on developing and improving ML techniques to provide confident and efficient predictions for Digital Health applications.

Keywords: Digital Health • Confidence Machine Learning • Data Science and Analytics

My research is based on two important topics: microfluidics and personalized medicine. The focus is the preparation of microparticles/droplets that allow a better delivery of extremely selective drugs for the treatment of breast cancer

Rageshree is pursuing her PhD in Innovation Management. 

Her Research studies the role of Absorptive Capacity to enable a labour efficient IoT(Internet of Things) implemented market. Apart from being an active researcher ,she has also worked with the DRIVA project in the University of Brighton as a Research Fellow for Data Science and Visualization (School of Computing, Engineering and Maths). DRIVA (Digital Research & Innovation Value Accelerator) is a £1.3m University of Brighton research project funded by the European Structural Investment Fund and Arts Council England that aims to provide technology SMEs, creative arts practitioners and cultural organisations supported and authorised access to Gatwick Airport’s big data. She Brings with herself rich and valuable experience in Data Analytics and Business Intelligence Skills. Now she enjoys imparting Lectures in the various departments of the Business School Brighton like Entreprenuership and Strategy, Economics and Operations Management along with her active research work.