Good Health Tech 2021
Special Track in GoodIT Conference 2021
September 9-11, 2021, Rome, Italy
DEADLINE May 1st, 2021
Others important deadlines:
Submission deadline: May 1, 2021
Notification of acceptance: June 22, 2021
Camera Ready: July 10, 2021
GOOD HEALTH TECH MANIFESTO
The last year has been a strange period for everyone, forced to stay at home, maintaining distances, wearing masks and changing our habits, trying to protect us and our loved ones, as much as possible, from this invisible threat that is covid-19.
This period changed our habits, our lifestyle, work and health. Healthcare system has been forced to change protocol bringing prevention, diagnosis and treatment of diseases not only in hospitals, but in everyone’s homes, and not only for the physical but also mental health.
Technology and Design played a fundamental role in this transition, the first bringing diagnosis and treatment systems directly to home, keeping distance and safety for all (both patients and physicians); the second domesticating these technologies to simplify them and make them accessible to all population’s segments.
Moreover, the use of these technologies is able to lead to a collection of very relevant and useful data for fighting different disease, for example the “Covid-19 Sound” mobile app of the University of Cambridge, which allows to create a database of cough sounds, for the development of a machine learning algorithms with the aim of monitoring and tracing new cases. These are only a few examples of technology and design applied to healthcare as a way to improve safety, wellness and quality of life.
TOPICS & SUBTOPICS
Wearable devices and systems
mHealth and/or eHealth
Wearable for Ambient Assist Living
Health Data acquisition, analysis and mining
Social and Psychological investigation into Self-Tracking devices
Healthcare and edge computing
Ubiquitous Input Devices
Co-design technology and Healthcare
Politecnico di Milano - Italy
Paolo Perego received the master degree in Biomedical engineering at Politecnico di Milano, Milan, Italy, in 2008. In 2015 he received Ph.D in design from the same university. Since 2008 he has worked in the Design Department at Politecnico di Milano, where he is currently a contract researcher. In 2012 he was a visiting scholar at the DTI department at SUPSI (Lugano – Switzerland), where he was involved in human computer interaction research for disabled. His main research focuses Human Machine Interface and primarily on wearable systems, textile sensors, smart materials and UX design. He has co authored more than 50 international articles and conference contributions.
He is EAI and IEEE member. He chaired Mobihealth conference in 2016 and 2017, and Healthwear in 2020. He is co-editor of three books on wearables and Guest Editor of different special issues on smart material and wearables. In 2017 he won the Switch2Product competition for new business innovation with the wearable system Swimfit, a smart sensorised swimsuit.
TU Wien - Austria
Nima TaheriNejad received his Ph.D. degree in Electrical and Computer Engineering from The University of British Columbia (UBC), Vancouver, BC, Canada, in 2015. He currently works at the TU Wien (formerly known also as Vienna University of Technology), Vienna, Austria, in the role of Universitaetassistant. His areas of research include self-awareness in cyber-physical systems, health-care, embedded systems, in-memory computing, and systems on chip. He has authored two books and published in/served as a reviewer, organizer, and chair for various journals, conferences, and workshops. He has received several awards and scholarships from universities and conferences he has attended, including the best paper award at MobiHealth 2017. He chaired the “7th EAI International Conference on Wireless Mobile Communication and Healthcare (MobiHealth)” and “Healthwear 2020”. He has also served as the guest editor of “Mobile Networks and Applications (MONET) Journal”, “Sensors”, and “Electronics”, which feature four special issues on mobile health-care and wearable medical devices. Dr. TaheriNejad has more than 60 publications in reputable peer reviewed journals and conferences.
Lund University - Sweden
Amir Aminifar is an Assistant Professor (Biträdande Universitetslektor) in the Department of Electrical and Information Technology at Lund University, Sweden. He received his Ph.D. degree from the Swedish National Computer Science Graduate School, Linköping University, Sweden, in 2016. During 2014-2015, he visited the Cyber-Physical Systems Laboratory of the University of California, Los Angeles (UCLA), USA and the Real-Time Systems Laboratory of Sant'Anna School of Advanced Studies, Italy. During 2016-2020, he held a Scientist position in the Institute of Electrical Engineering at the Swiss Federal Institute of Technology (EPFL), Switzerland. He has been/is involved in the organization of several major international conferences and journals as technical program committee (DATE, DAC, RTSS, CPS Week), track/tutorial chair (ISLPED, VLSIDesign, EBCCSP), or guest editor (Sensors Journal). He has been actively contributing to the Internet of Things (IoT), edge machine learning and artificial intelligence, and mobile-health and health informatics domains.
- S. Abdollah Mirbozorg, University of Alabama
- Mario Covarrubias, Politecnico di Milano
- Maurizio Caon, University of Applied Sciences and Arts Western Switzerland
- Shamristha Bhadra, McGill University
- Adrian Luca, EPFL
- Mehdi Modarressi, University of Tehran