Keynote speakers
Title: Protecting the Human Endpoint
Bio:
Steven Furnell is Professor of Cyber Security in the School of Computer Science at the University of Nottingham. His research interests include security awareness and culture, and usability of security. He has authored over 430 papers in refereed international journals and conference proceedings, as well as various books, book chapters, and industry reports. Amongst his various roles and responsibilities, Steve is the UK representative to Technical Committee 11 (security and privacy) within the International Federation for Information Processing, a board member of the Chartered Institute of Information Security, a member of the Steering Group for the Cyber Security Body of Knowledge (CyBOK), and the Editor of Computers & Security.
Abstract
Title: Protecting the Human Endpoint
Cyber security continues to benefit from improvements in the technologies that protect our devices and the communications between them. However, cyber security demands holistic solutions, and technological advancements do not remove the need to support the key component sitting at the endpoint – namely the human user. People are frequently blamed for cyber security breaches and stereotyped as the weakest link. However, links can be expected to be weak if little or nothing has been done to strengthen them. This presentation examines the cyber security awareness and literacy support that ought to be provided to users, and the extent to which these are typically addressed in practice. Recognising that many users will often perceive cyber security to be unrelatable or inaccessible, the talk also discusses ways to increase user interest and engagement through gamification of basic cyber awareness concepts.
Thus, the concept of connected and translational health has started evolving steadily, connecting pervasive health systems, using new predictive models, new approaches in biological systems modeling and simulation, as well as fusing data and information from different pipelines for more efficient diagnosis and disease management.
In this talk, we will present the current state-of-the-art in personalized health care by presenting cases from COVID-19 and COPD patients using advanced wearable vests and new technology sensors including lung sound and EIT, new outcome prediction models in COVID-19 ICU patients fusing X-Rays, lung sounds, and ICU parameters transformed via AI/ML/DL pipelines, new approaches fusing environmental stressors with -omics analytics for chronic disease management, and finally new ML/AI-driven methodologies for predicting mental health diseases including suicidality, anxiety, and depression.
Technology for Health and Wellbeing in the Workplace
Bio:
Liqun joined the Department of Computer Science at the University of Surrey as Professor in Secure Systems in 2016. Prior to this appointment, she was a Principal Research Scientist at Hewlett Packard Laboratories in Bristol, UK, which she joined in 1997. Before that, she worked at Royal Holloway, University of London, the University of Oxford, and Southeast University in P.R. China. Liqun is a visiting professor at Southeast University.
During her 19 years working for Hewlett Packard, Liqun had a number of patents granted and more out for review. Details of her granted US patents can be obtained from “US patents granted”, and details of her other US patent applications from “US patent applications”. Details of US patents, in general, can be found at http://patft.uspto.gov/. She has also had patents granted and applied for in other countries and regions, but details of these patents are not provided here as they are mostly duplicates of the US ones. All of the patents are assigned to Hewlett Packard Enterprise or Hewlett Packard Inc.
More details:
https://www.surrey.ac.uk/people/liqun-chen
Abstract
How can we create technologies to help us reflect on and potentially change our behavior, as well as improve our health and overall wellbeing both at work and at home? In this talk, I will briefly describe the last several years of work our research team has been doing in this area. We have developed wearable technology to help families manage tense situations with their children, mobile phone-based applications for handling stress and depression, as well as automatic stress sensing systems plus interventions to help users just in time. The overarching goal in all of this research is to develop intelligent systems that work with and adapt to the user so that they can maximize their personal health goals and improve their wellbeing.
University of Surrey, UK
University of Glasgow, UK
Title: Protecting the Human Endpoint
Bio:
Dr. Lei Zhang is a Professor of Trustworthy Systems at the University of Glasgow. He received his PhD degree from the University of Sheffield in September 2011. He joined the University of Glasgow in Jul. 2017 as a Lecturer and was promoted to Senior Lecturer and then Professor. Prior to joining the University of Glasgow, he was a Research Fellow at the 5G Innovation Centre (5GIC, Now 6GIC), University of Surrey.
Professor Lei Zhang’s research interests mainly focus on modelling, analysing, designing, optimising and implementing Trustworthy Connected Systems by considering digital connectivity, fault tolerance, resilience, reliability, security, privacy and safety. Dr Zhang has academia and industry combined research experience on 3G/4G/5G/6G telecommunications and networks, and trustworthy distributed systems for IoT, blockchain, consensus, and connected autonomous systems.
More details:
Abstract
Title: Protecting the Human Endpoint
Cyber security continues to benefit from improvements in the technologies that protect our devices and the communications between them. However, cyber security demands holistic solutions, and technological advancements do not remove the need to support the key component sitting at the endpoint – namely the human user. People are frequently blamed for cyber security breaches and stereotyped as the weakest link. However, links can be expected to be weak if little or nothing has been done to strengthen them. This presentation examines the cyber security awareness and literacy support that ought to be provided to users, and the extent to which these are typically addressed in practice. Recognising that many users will often perceive cyber security to be unrelatable or inaccessible, the talk also discusses ways to increase user interest and engagement through gamification of basic cyber awareness concepts.
Thus, the concept of connected and translational health has started evolving steadily, connecting pervasive health systems, using new predictive models, new approaches in biological systems modeling and simulation, as well as fusing data and information from different pipelines for more efficient diagnosis and disease management.
In this talk, we will present the current state-of-the-art in personalized health care by presenting cases from COVID-19 and COPD patients using advanced wearable vests and new technology sensors including lung sound and EIT, new outcome prediction models in COVID-19 ICU patients fusing X-Rays, lung sounds, and ICU parameters transformed via AI/ML/DL pipelines, new approaches fusing environmental stressors with -omics analytics for chronic disease management, and finally new ML/AI-driven methodologies for predicting mental health diseases including suicidality, anxiety, and depression.
