AI Technologies for Health and Wellbeing
University of Warwick Annual Workshop in Digital Technologies
Friday 14 June 2024 - 09:30am - 4.00pm - In-person event only
Location: Space 17, Radcliffe Conference Centre, University of Warwick
About the event:
Warwick is a leading university in the UK. One of our key objectives is to carry out high impact research which will have the potential to be transformational for society and the economy, in line with UKRI’s vision of “pushing the frontiers of human knowledge”. In order to achieve this goal, we run an annual full-day research workshop on Digital Technologies to invite participants both from the University and from external collaborating research institutions and industrial organisations to share their problems/tasks. The 2024 edition of this workshop will focus on AI Technologies for Health and Wellbeing.
During this workshop, academics Warwick will showcase our latest cutting-edge research in Digital Technologies, including AI and Data Science, while colleagues from other institutions and participants from industrial organisations will present their problems and tasks. The main goal of this event is to provide an opportunity for showcase and networking, that may result in fruitful future collaborations.
Speakers include:
Dr Melanie Jouaiti
Assistant Professor at the School of Computer science, University of Birmingham. Her research focuses on human-centred technologies for healthcare.
Dr Yu Guan
Associate Professor in the Dept. of Computer Science (DCS), University of Warwick. His research agenda is centred on machine learning for practical applications.
Dr Fayyaz Minhas
Associate professor of AI in Biomedicine in the department of computer science at the University of Warwick. His primary area of research is applied artificial intelligence and machine learning especially in bioinformatics and computational pathology.
Dr Helen Yannakoudakis
Lecturer in Natural Language Processing in the Department of Informatics at King's College London. Helen is working on machine learning for natural language processing.
Dr Gabriele Pergola
Assistant Professor at the Department of Computer Science. His current research investigates the use of statistical models within machine learning for natural language processing and text understanding.
Dr Tom Diethe
Head of The Centre for Artificial Intelligence (Executive Director) at AstraZeneca, Cambridge UK. Tom’s department sits within the Data Science & Artificial Intelligence organisation, which is part of the wider BioPharmaceuticals R&D
Dr Enrique Munoz de Cote
AI entrepreneur/computer scientist/engineer creating the next AI venture.
CellClar - we specialise in single cell omics data analysis leading to insights & novel target discoveries.
Dr Anh Nguyen
Senior Lecturer in AI & Robotics, Department of Computer Science, University of Liverpool.
His research goal is to develop methods that enable robots to see and act like humans.
Dr Huy Phan
Huy investigates topics in the fields of machine learning/deep learning and signal processing and is particularly interested in speech/audio processing, biosignal analysis, and healthcare applications.
Prof Andreas Kyprianou
Mathematician at the Department of Statistics with specialism in pure and applied probability. As part of the set-up phase of the new Centre for Mathematical and Computing Sciences(CAMaCS), Andreas has taken up the role of director between 2023-2025.
Dr Tapabrata (Rohan) Chakraborty
Theme Lead with the Turing-Roche Partnership at the Alan Turing Institute and an Honorary Associate Professor with University College London. His specialises is in transparent AI for healthcare, with a particular focus on cancer image analysis.
Dr Julia Brettschneider
Reader at the Department of Statistics at the University of Warwick. Julia develops methods to assess and optimise data quality, to maximise information and knowledge gained from experiments, and model joint and individual decision processes from axiomatic/rational as well as subjective/descriptive perspectives.
Agenda
| 9.00 | Arrival |
| 9.30 | Introduction to the day |
| 9.45 | Session 1 - Industry |
| 11.00 | Break |
| 11.30 | Session 2 - Healthcare |
| 12.30 | Lunch (Private Dining Room) |
| 14.00 | Session 3 - Explainability |
| 15.45 | Closing remarks |
Sponsored by:
