Wearable Computing Systems based on Body Sensor Networks: State-of-the-art and Future Research Challenges

Brief Bio
Giancarlo Fortino (SM’12) is Full Professor of Computer Engineering at the Dept. of Informatics, Modeling, Electronics and Systems (DIMES) of the University of Calabria (Unical), Rende (CS), Italy. He has a Ph. D. degree and Laurea (MSc+BSc) degree in Computer Engineering from Unical. He is High-end Foreign Expert of China (term 2015-2018), Adjunct and Guest Professor at the Wuhan University of Technology (China), High-end Expert of HUST (China), CAS PIFI Visiting Scientist at Shenzhen (2019-2021), Distinguished Professor of Huazhong Agricultural University (China) and Associated Senior Research Fellow at the Italian National Research Council - ICAR Institute. He has been also Visiting Researcher and Professor at the International Computer Science Institute (Berkeley, USA, 97-99) and at the Queensland University of Technology (Australia, 2009), respectively. He is in the list of Top Italian Scientists (TIS) by VIA-academy, with h-index=48 and 8500+ citations according to GS. According to the SciVal tool in the last 5 years (2013-18), he is ranked N. 1 in the topic “Middleware, Internet, and Sensor Networks” and N.56 in the Computer Science field in the ranking of authors with high citation impact based on the FWCI index at the Scopus Database. He is the director of the SPEME (Smart, Pervasive and Mobile Systems Engineering) Lab at DIMES, Unical and co-director of three joint-labs on IoT technologies established with Wuhan University of Technology, Shanghai Maritime University, and Huazhong Agricultural University, respectively. His main research interests include Internet of Things computing and technology, agent-based computing, body area networks, human-machine systems, wireless sensor networks, pervasive and cloud computing, multimedia networks, and mobile health systems. He participated to many local, national and international research projects and was also the deputy coordinator and scientific & technical project manager of the EU-funded (8M) H2020 INTER-IoT project. He authored 400+ publications in journals, conferences and books. He chaired 100+ Int'l conferences/workshops, organized 50+ special issues in well-known ISI-impacted Int'l Journals, and participated in the TPC of about 500 conferences. He is the founding editor in chief of the IEEE Book Series on “Human-Machine Systems” and of the Springer Book Series on "Internet of Things: Technology, Communications and Computing”, and currently serves (as associate editor) in the editorial board of IEEE Transactions on Affective Computing, IEEE Transactions on Human-Machine Systems, IEEE IoT Journal, IEEE Sensors Journal, IEEE Access, IEEE SMC Magazine, Journal of Networks and Computer Applications, Engineering Applications of Artificial Intelligence, Information Fusion, and others. He is the recipient of the 2014 Andrew P. Sage SMC Best Transactions Paper award. He is co-founder and CEO of SenSysCal S.r.l., a spin-off of Unical, developing innovative IoT-based systems for e-health and domotics. He is the Chair of the IEEE SMC Italian Chapter, Member-at-large of the IEEE SMCS BoG, Member of the IEEE Press Board of Directors, and founding chair of the IEEE SMC Technical Committee on “Interactive and Wearable Computing and Devices”.

 

 

Information, Understanding and Trust: Explorations in Computation and Interaction

Brief Bio
Ann Blandford is Professor of Human–Computer Interaction at University College London and Deputy Director (Digital) of the UCL Institute of Healthcare Engineering. She is an expert on human factors for health technologies. Her first degree is in Mathematics and her PhD in Artificial Intelligence. She was a post-doctoral researcher at the Applied Psychology Unit in Cambridge then a Lecturer, rising to Professor, at Middlesex University (Computer Science). She moved to UCL as Senior Lecturer in 2002, and was (re-)promoted to Professor in 2005. She was Director of UCL Interaction Centre 2004-2011. She is involved in several research projects studying health technology design and user experience. The question that motivates her research is: how can we design and deploy health technologies that really work for people, rather than technologies that force us into undesirable modes of working, cause stress, or are rejected as not being fit for purpose? She has published widely on the design and use of interactive health technologies, and on how technology can be designed to better support people’s needs and values.

 

 

The New Zeitgeist: Human-AI

Brief Bio
Yvonne Rogers is a Professor of Interaction Design, the director of UCLIC and a deputy head of the Computer Science department at University College London. Her research interests are in the areas of ubiquitous computing, interaction design and human-computer interaction. A central theme of her work is concerned with designing interactive technologies that augment humans. A current focus of her research is on human data interaction. She is also interested in what human-centered AI means in practice. Central to her work is a critical stance towards how visions, theories and frameworks shape the fields of HCI, cognitive science and Ubicomp. She has been instrumental in promulgating new theories (e.g., external cognition), alternative methodologies (e.g., in the wild studies) and far-reaching research agendas (e.g., "Being Human: HCI in 2020"). She has also published two monographs "HCI Theory: Classical, Modern and Contemporary." and "Research in the Wild." with Paul Marshall. She is a fellow of the ACM, BCS and the ACM CHI Academy.

 

 

Using Everyday Routines for Understanding Health Behaviors

Brief Bio
Anind K. Dey is a Professor and Dean of the Information School at the University of Washington. Anind is renowned for his early work in context-aware computing, an important theme in modern computing, where computational processes are aware of the context in which they operate and can adapt appropriately to that context. His research is at the intersection of human-computer interaction, machine learning, and ubiquitous computing. For the past few years, Anind has focused on passively collecting large amounts of data about how people interact with their phones and the objects around them, to use for producing detection and classification models for human behaviors of interest. He applies a human-centered and problem-based approach through a collaboration with an amazing collection of domain experts in areas of substance abuse (alcohol, marijuana, opioids), mental health, driving and transportation needs, smart spaces, sustainability, and education. Anind was inducted into the ACM SIGCHI Academy for his significant contributions to the field of human-computer interaction in 2015. Before starting at the University of Washington in 2018, Anind was the Charles M. Geschke Professor and Director of the Human-Computer Interaction Institute at Carnegie Mellon University for 4 years, and was a member of the faculty for 13 years. Previously, he was a Senior Researcher at Intel Research and an Adjunct Assistant Professor of Computer Science at UC Berkeley. Anind received his PhD and MS in computer science, and an MS in aerospace engineering from Georgia Tech, and a Bachelors in Computer Engineering from Simon Fraser University.