Intelligent Digital Health Interventions towards Prevention, Self-Management and Treatment of Pathologies (DIGHI 2019)
Digital health technology has enormous potential to transform healthcare, improve prevention, self-management and treatment of pathologies, and lead to significant outcomes for patients and medical professionals. The challenge now is to carefully design, develop and deploy intelligent digital health interventions, towards their wide adoption. The reliable use of these interventions in real life could have implications for the better engagement of individuals in management of their health condition, identification of risks, or even the introduction of new personalised treatment approaches.
The workshop on “Intelligent digital health interventions towards prevention, self-management and treatment of pathologies” aims at bringing together researchers from academia, industry, government, and medical centres in order to present the state of the art and discuss the latest advances in the area of the application of digital health technology. The workshop is expected to cover the whole range of theoretical and practical aspects, related to the application of digital health technology.
Topics of interest include, but are not limited to:
- Mobile and pervasive computing
- Machine learning (retrospective studies or real-time machine learning approaches)
- Real-life digital health/biomedical interventions
- Decision support systems
- Knowledge discovery in intelligent health systems
- Natural language processing
- Electronic Health Records
- Security of health information
- Medical devices, smart biosensors and sensor networks
- Internet of Things
- Digital health within smart homes or smart cities
- Augmented or virtual reality applications
- Usability and patient satisfaction
- Health/biomedical education
- Digital health technologies designed specifically for children or elders
- Bio-engineering applications for people with chronic diseases
Full papers: Accepted 4-page workshop papers will be published together with BIBE Proceedings and published online in IEEE Xplore.
Short papers: Accepted 1-page workshop papers will be published together with BIBE Proceedings.
At least one author of the accepted manuscript should be able to present in the workshop DIGHI 2019 of the BIBE 2019 conference, October 28-30, Athens, Greece.
|Paper Submission Deadline
|August 5, 2019
|August 20, 2019
|Paper Camera-Ready Paper Submission
|August 30, 2019
Dr Dimitrios Tzovaras (Centre for Research and Technology Hellas)
Dr. Dimitrios Tzovaras is a Senior Researcher Grade A’ (Professor) and the Director at CERTH/ITI (Information Technologies Institute of the Centre for Research and Technology Hellas). He received the Diploma in Electrical Engineering and the Ph.D. in 2D and 3D Image Compression from the Aristotle University of Thessaloniki, Greece in 1992 and 1997, respectively. His main research interests include computer vision, image analysis, machine learning, artificial intelligence, visual analytics and virtual and augmented reality. He is author or co-author of over 130 articles in refereed journals and over 400 papers in international conferences. He is currently a Senior Associate Editor in the IEEE Transactions on Image Processing journal. Since 1992, Dr. Tzovaras has been involved in more than 150 R&D projects, funded by the EC and the Greek Ministry of Research and Technology. Within these R&D projects, he acted as the Scientific Responsible of the research group of CERTH/ITI, but also as the Coordinator and/or the Technical/Scientific Manager of many of them (Coordinator or Technical manager in 38 projects – 19 H2020, 7 FP7 and 12 National projects).
Dr Konstantinos Votis (Centre for Research and Technology Hellas)
Dr Konstantinos Votis is a Senior Researcher Grade C’ (Assistant Professor) at Information Technologies Institute/Centre for Research and Technologies Hellas (CERTH/ITI) and Director of the Visual Analytics Laboratory of CERTH/ITI. He is also a visiting professor at the De-montfort University in UK in the fields of Human Computer Interaction, Virtual Reality (VR), Augmented Reality (AR). He received an MSc and a Ph.D. degree in computer science and service oriented architectures from Computer Engineering and Informatics department, University of Patras, Greece. He also holds an MBA from the Business School department in the University of Patras. His research interests include Human Computer Interaction (HCI), information Visualisation and management of big data, knowledge engineering and decision support systems, Internet of Things, cybersecurity as well as pervasive computing, with major application areas such as mHealth, eHealth, and personalized healthcare. His PhD was in the domain of service Oriented Architecture and Information management systems in the e-inclusion and healthcare. Since 2001 he has published more than 100 international scientific articles on eHealth, mhealth, human-technology interaction visualisation (AR, VR, information visualisation with visual analytics), mobile and ambient technologies as well as human-centred design, etc. Since 2001, Dr. Votis has participated in 29 Research and Development projects in the fields of HCI, IoT, information Visualisation and data analytics, personal health systems, cybersecurity, blockchain, Ambient Assisted Living, e-Inclusion and big data: of which 24 are funded by the EC (6 H2020, 11 FP7 ICT, 1 FP6 IST STREP, 4 FP5 IST, 2 structural/cross border), 2 are funded by the General Secretariat for Research and Technology, 2 are cross border, and 1 is subcontract from the industry), acting both as Scientific Responsible and as the Technical Coordinator of the whole European consortium (technical coordinator of the project in 3 projects – 1 FP7 ICT, 1 H2020, and 1 Greek National project). Dr. Votis has strong expertise in managing EU and national projects especially in the area of IoT, cybersecurity, mHealth, as he was the technical coordinator of FP7 NoTremor, CaregiversPROMMD H2020, deputy coordinator myAirCoach H2020 (mHealth and self-management), Greek pilot Leader and WP leader in Large scale IoT project ACTIVAGE in the Active and Healthy Ageing.
Dr Athanasios Tsanas (University of Edinburgh)
Dr Athanasios Tsanas studied Engineering for his undergraduate and master degrees and completed a PhD in Applied Mathematics at the University of Oxford in September 2012. He stayed at the University of Oxford to work as a research fellow in Biomedical Engineering and Applied Mathematics (2012-2016), Stipendiary Lecturer in Engineering Science (2014-2016) and Lecturer at the Said Business School (2016). Since January 2017 he is a Chancellor’s Fellow in Data Science at the Usher Institute of Population Health and Informatics, University of Edinburgh. He is the recipient of the National Greek State Scholarship (2003 & 2004) graduating as the top student in biomedical engineering in Athens, the BNFL prize for best undergraduate thesis at the University of Liverpool (2007), the CTA scholarship for his MSc at the University of Newcastle (2007), an Intel/EPSRC scholarship for his PhD at the University of Oxford (2008-2012), the student paper award at the NOLTA International meeting (2010), the Andrew Goudie award from St Cross College, University of Oxford, (2011), the EPSRC Doctoral Prize award (2012), the young scientist award at the international workshop MAVEBA (2013), and the EPSRC Statistics and Machine Learning award (2015). He was shortlisted in the final six candidates for the Papanikolaou prize (2011), and was part of the Oxford biomedical engineering team that won the annual Physionet/Computing in Cardiology Competition (2012) for “Predicting mortality of ICU patients”. He was an ‘Outstanding Reviewer’ for the journal Computers in Biology and Medicine (2015), and won a ‘Best reviewer award’ from the IEEE Journal of Biomedical Health Informatics (2015). His research focuses on developing novel tools for data mining and extracting domain information through time series analysis, signal processing, and statistical machine learning. He has worked primarily on applications in healthcare and in particular neuroscience and mental disorders. More recently, he has been working on developing algorithms to mine data collected from wearable sensors such as smartwatches. Key results of his work have been featured in the news such as Reuters, ScienceDaily and MedicalXpress.
Dr Andreas Triantafyllidis (Centre for Research and Technology Hellas)
Dr Andreas Triantafyllidis is a research scientist at the Information Technologies Institute, Centre for Research and Technology – Hellas (CERTH/ITI). He is also a Lecturer (adjunct faculty) at the Open University of Cyprus, Faculty of Economics and Management, in the field of e-Health and health policy. He received the PhD in Medical Informatics from the Aristotle University of Thessaloniki in 2013 and he was trained as postdoctoral researcher in Mobile Health at the Department of Engineering Science, University of Oxford from 2013-2015. His research interests include medical informatics, pervasive computing, artificial intelligence, and computerised decision support. During the last 11 years, he has worked in 8 EU and 3 UK NHS-funded projects (e.g., PATHway, SUPPORT-HF, REMOTE), leading in the design, development and evaluation of novel computerised systems toward achieving the independent living of patients and improving their health. He has received the postdoctoral fellowship of “Excellence” from the State Scholarships Foundation from 2015 to 2017. As a PhD student, he won 2 best paper awards in international conferences (International Symposium on Ambient Intelligence 2011, MobiHealth 2010), and as a master’s student he was the recipient of the award for the “excellent research activity during the MSc. Studies in the Medical School of Aristotle University of Thessaloniki”, in 2009. He has published his research in leading international peer-reviewed journals in the fields of medical engineering and digital health such as the Journal of Medical Internet Research (ranked 1st in digital health journals among 22), and the IEEE Journal of Biomedical and Health Informatics (in top 3 in health information journals among 57). He is a regular reviewer of the International Journal of Medical Informatics, the Journal of Medical Internet Research and other journals, and he has served as PC member or organising committee member for international conferences such as the MEDICON 2016 and the ICBHI 2017. He has been Assistant Editor for the MedInfo 2017 world congress in China, and MedInfo 2019 in France, after a selection process. He has also been appointed as evaluator of national research actions (EDK 2017) from the General Secretariat for Research and Technology – Hellas. Key results of his research have been featured in Deutsche Welle (2016), OxfordMail (2015), and Tech Talks Central (2014).
Mrs Eleftheria Polychronidou (Centre for Research and Technology Hellas)
Mrs Eleftheria Polychronidou received her Diploma in Production Engineering and Management from the School of Engineering (Democritus University of Thrace) in 2010 and her MSc in Energy Technologies and Sustainable Design from the Department of Mechanical Engineering (University of Cyprus) in 2013. Since September 2014 she is enrolled in the PhD programme of the Informatics Department of Ionian University, with specialization in Bioinformatics. To date she has been a member of the Computational Biology & Medicine Group of the Biomedical Research Foundation (Academy of Athens) focusing her research on Molecular Dynamics, Homology Modelling, NGS and Multiple Sequence Alignments, and Biological databases. Currently, she works as a research associate in the Informatics and Telematics Institute (ITI), participating in national and international projects, mainly focusing in the fields of information visualization/visual analytics and pattern analysis applied in bioinformatics.