Keynote Speakers

Hui Lei (CTO, Watson Health Cloud, IBM, USA)

Dr. Hui Lei is Chief Technology Officer of IBM Watson Health Cloud, an IBM Distinguished Engineer, and an IBM Master Inventor. Previously he was Senior Manager, Cloud Platform Technologies at the IBM T. J. Watson Research Center, and led IBM’s worldwide research strategies in cloud infrastructure services and cloud managed services. His technical interests include cloud computing, big data, mobile and pervasive computing, and enterprise computing. His technical vision and creative contributions have impacted many commercial software products and services, and have resulted in over 70 patents. He is a Fellow of the IEEE, Editor-in-Chief of the IEEE Transactions on Cloud Computing, and a past Chair of the IEEE Computer Society Technical Committee on Business Informatics and Systems. He has taken part in many international conferences as a steering committee chair, general chair, technical program chair, or keynote speaker. He was recognized with an IEEE Computer Society Technical Achievement Award in 2017 and an IEEE Computer Society Distinguished Service Award in 2014. He received his PhD in Computer Science from Columbia University.

Robert Steele (Professor, Florida Polytechnic University, USA)

Professor Robert Steele serves as a Full Professor of Data Analytics and Director of the Health Informatics Institute at Florida Polytechnic University, Lakeland, Florida, USA. Dr. Steele holds a PhD. in Computer Science, has authored over 130 peer-reviewed research publications and his work has also been patented and successfully commercialized. He has been awarded and led numerous external competitively funded research projects, along with numerous industry collaborations. His research interests include data analytics, distributed systems, health informatics and cyber-physical systems. He has also previously served as the Vice Chair of ACM SIGMOBILE the premier international community for mobile and pervasive computing research.

Keynote Title: Data Science-driven Design of Emerging Informatics Systems

Abstract: Predictive models can enable the prediction of target values for previously un-seen input sets. Historically the volume of available digitized data has been significantly lower and the processing power of machines comparatively less. In the past decades, this has contributed to limiting the domains that predictive models could be applied to and the impact and value of these models when applied. Similarly, the application of such models to improve the operation of real-world systems in various business and consumer domains, with the goal of having these systems improve or ‘learn’ over time, has faced concomitant limitations. The Internet-of-Things represents a transformative development in the role and domains of application of predictive models, with this current era of research providing the opportunity for great achievements and the development of new capabilities and methodologies to benefit society. The Internet-of-Things is not a single system nor a system emerging from a ‘big bang’ implementation, but rather is evolving via an incremental and increasing pervading of sensing, computation and actuation capabilities into the physical world and the entities within it. This represents a significant advancement in data acquisition, processing and predictive capabilities. The Internet-of-Things will support the acquisition of new types of datasets with greater ranges of attributes and domains of application, but to-date there is still often a mismatch between the sensor data collected and the needs of predictive models. This talk will cover current research drawing from the different knowledge domains of health informatics and other sectors, data science and the Internet of Things, to outline new possibilities for predictive and learning systems.

Ann Blandford (Professor & Director of UCL Institute of Digital Health, UK)

Ann Blandford is Professor of Human–Computer Interaction in the Department of Computer Science at University College London and Director of the UCL Institute of Digital Health. She led the development of the UCL Interaction Centre (UCLIC) (2004-2011), which is now a leading research centred in Human–Computer Interaction (HCI). She has a first degree in Maths (from Cambridge) and a PhD in Artificial Intelligence (from the Open University). She started her career in industry, as a software engineer, but soon moved back into academia, where she developed a focus on the use and usability of computer systems. Professor Blandford’s principal interest is in how we can design technologies that empower people, taking into account the situations in which people find themselves, what motivates them, and how they think. This includes designing systems to support people in making sense of complex information, developing strategies to work more effectively (e.g., minimising errors), and changing their behaviour. Her research is on healthcare technologies, to improve patient safety and to empower people managing their own health and wellbeing. Ann has over 180 publications in international, peer-reviewed journals and conference proceedings. Other recent publications include Synthesis lectures on “Qualitative HCI Research” and on “Interacting with Information”, and an encyclopaedia chapter on “Semi-Structured Qualitative Studies”.

Nikola Serbedzija (Fraunhofer FOKUS - Berlin, Germany)

Nikola Šerbedžija is a scientific advisor at Fraunhofer FOKUS responsible for new research activities and innovative technology. He was visiting professor at University of Technology Sydney (1999-2000) and at University of Arts, Berlin (2000 – 2008). His major research areas are adaptive control, pervasive and ubiquitous computing, and self-aware systems, mostly applied within embedded and real-time systems, ambient assistance and empathic systems. Since 2008 he has been involved in several EU projects and initiatives that consider future and emerging technology (FET programme).

Eerke Boiten (Professor in Cyber Security, De Montfort University, UK)

After his PhD in the Netherlands, Eerke Boiten worked at the University of Kent as a computer science researcher and academic from 1995 to 2017. His work was initially in formal methods, and included a monograph on Refinement in Z published by Springer. He branched out into computer security 10 years ago. He set up and led the University's interdisciplinary Research Centre in Cyber Security, which achieved the EPSRC/GCHQ accreditation as an Academic Centre of Excellence in 2015. Looking beyond just his own discipline, Eerke developed an interest in the policy sides of data, starting from a perspective of technical realism. He engages in public debate in this area, including on privacy in general, and was a reviewer for the Nuffield Bioethics report on Biological and Health Data in 2015. In April 2017, he moved to the Cyber Technology Institute at De Montfort University to take up the role of Professor of Cyber Security. His current research projects are in ransomware, cryptography, privacy impact assessment, refinement and cyber intelligence sharing.

Saeid Nahavandi (Alfred Deakin Professor, Deakin University, Australia)

Saeid Nahavandi received his BSc (Hons), MSc and PhD in Control Engineering from Durham University, UK in 1985, 1986 and 1991 respectively. Saeid is an Alfred Deakin Professor, Pro Vice-Chancellor (Defence Technologies) and the Director for the Institute for Intelligent Systems Research and Innovation at Deakin University in Australia. Professor Nahavandi is a Fellow member of IET, IEAust and Senior Member of IEEE and has published over 700 refereed papers and been awarded several competitive Australian Research Council (ARC) grants over the past 21 years. He received the Research collaboration / initiatives award from Japan (2000) and Prince & Princess of Wales Science Award in 1994. He won the title of Young Engineer of the Year Award in 1996 and holds four patents. In 2002 Professor Nahavandi served as a consultant to the Jet Propulsion Lab (NASA) during his visit to JPL Labs. Professor Nahavandi was General Co-Chair for the IEEE SMC 2011. He also holds the position of Co-Editor-in-Chief for IEEE Systems Journal, Associate Editor: IEEE/ASME Mechatronics, Associate Editor: IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS, Associate Editor: IEEE SMC Magazine.