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WEBINAR: The Application of Digital Technology in a Pandemic

Wednesday 16 June 2021 @ 10:00 am - 11:30 am BST

Digital Health solutions are understandably now at the forefront of health care initiatives. Join De Montfort University’s Digital Health Team for this webinar to discuss the latest research, innovation and developments in technology which supports the future of health and social care.

This webinar will cover:

-Digital technologies in the public health response to Covid-19: contact tracing and communication with communities

-Digital technologies used by individuals and groups to promote wellbeing

-The effects of using digital technologies with diverse communities during the pandemic

-Artificial intelligence and Covid-19 vaccination process.

This webinar is open to all businesses keen to explore and understand the digital health landscape.

This free to attend webinar will be held as part of the SoLSTICE programme – a project part-funded by the European Regional Development Fund. For further details please click here. This event is classed as State Aid to participating businesses, the value of which is £190, but is delivered completely free of charge to participant

Please note: Whilst this event is held as part of the SoLSTICE programme, attendance is not restricted to companies in the LLEP area.

DURATION 1 hour 30 minutes

Speaker Profiles:

Stuart Hilton, Head of Commercial Partnerships, DMU

Biog to follow

 

 

 

 

Professor Bertha Ochieng, Professor of Integrated Health and Social Care, DMU

Bertha Ochieng is Professor of Integrated Health and Social Care, Faculty of Health and Life Sciences, De Montfort University. A key aspect of her research is in examining digital solutions that support development of integrated models of health and social care and community engagement.

 

 

 

 

 Professor Ivan Browne, Director of Public Health at Leicester City Council

Ivan Browne is the Director of Public Health at Leicester City Council and has been spearheading the local response to COVID 19 in the City.  He is a professor of public health practice with De Montfort University and has a particular interest in the potential of digital technologies to improve population health and wellbeing.

 

Q& A Panel

Dr Fabio Caraffini, Associate Professor in Computer Science, DMU.

Fabio Caraffini is the programme lead for the MSc Intelligent Systems/Intelligent Systems & Robotics and the institute head of research students for the Institute of Artificial Intelligence. He has extensive research experience in designing and applying heuristics for optimisation, Computational Intelligence for classification problems, and their joint use to optimally address real-world problems.

 

 

Dr Mario Gongora is Associate Professor in the School of Computer Science and Informatics at De Montfort University (DMU), he is the Faculty Enterprise Lead and a senior member of the Institute of Artificial Intelligence at the Faculty of Computing, Engineering and Media. Dr. Gongora is a leading researcher in the subject of applied computational intelligence, particularly in the fields of Data analysis in large and complex datasets and modelling Natural Phenomena, including identification, simulation, and optimisation.

 

 

Professor Francisco Chiclana is a Professor of Computational Intelligence and Decision-making with the Institute of Artificial Intelligence and School of Computer Science and Informatics, De Montfort University, Leicester, U.K. Prof. Chiclana is currently a Highly Cited Researcher in Computer Sciences (according to Essential Science Indicators by Clarivate Analytics). He is an Associate Editor and a Guest Editor for several ISI indexed journals. His research interest includes fuzzy preference modelling, decision support systems, consensus, recommender systems, social networks, rationality/consistency, and information fusion.

 

 

Dr Raymond Moodley is currently a visiting researcher at the Institute of Artificial Intelligence, DMU. He is an expert in Applied AI with a primary focus on AI for Societal Enhancement and has led research, developed AI algorithms, and published papers in several aspects of societal enhancement including in Education, Health, Crime Prevention, and Consumer Retail. Dr Moodley also has over 20 years of commercial experience including in business strategy and in the design and implementation of large-scale IT projects.

 

 

 

 

 

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