TUTORIAL 2: Well-Being Technologies

  • Date: Monday, September 11
  • Time: 16.30 18:30
  • Location: Room 4


    The World Economic Forum has calculated that mental illnesses will represent the costliest diseases globally in the next two decades, exceeding the cost of cancer, diabetes, and chronic obstructive pulmonary diseases combined. Additionally, neuro-degenerative diseases that include multiple sclerosis, Alzheimer's disease, Parkinson's disease and associated disability and dementia are fast becoming one of the leading challenges for health-care systems due to rapidly ageing demographics. In the last two decades in many states the cost for chronic diseases, often linked to bad lifestyles, has become one of the largest items of government spending. By a complementary point of view, some researchers in Economics propose the Gross National Happiness to describe the standard of living of a country, instead of using Gross Domestic Product (S. Hargens, 2002). This tutorial is about the "Well-Being Technologies", a term that concerns the synergistic usage of technologies such as m-Health, wearable and ambient sensors, (Serious) Game Design, Gamification, IoT, Virtual Reality, Computational Intelligence, and Data Mining to the design of systems supporting the development of wellness and human potential, in the frame of the Positive Psychology approach (M. Seligman & M. Csikszentmihalyi, 2000). "Well-Being Technologies" is then a synonymous of "Positive Computing" (R. Calvo & P. Dorian, 2014) and also of “Orange Technologies” (J-F Wang, 2009). Systems based on Well-Being Technologies can contribute to the change of people's mindset, improving their mood and wellness, to the early diagnosis of cognitive illness and to the cognitive rehabilitation. I'll present also some on-going research projects of my research group on the dyslexia and on the monitoring of physical and social activity of fragile people, and some new research directions.


    Francesco Masulli – University of Genoa (Italy).


    Francesco Masulli is the Chair of IEEE Italy Section Computational Intelligence Society Chapter and a Full Professor of Computer Science with the University of Genoa (Italy) where he teaches the courses on Well-being Technologies, Machine Learning, and Fundamentals of Computer Science. He holds also an Adjunct Professorship at Center for Biotechnology of Temple University in Philadelphia (PA, USA). Recipient of the 2008 Pattern Recognition Society Award for the paper: M. Filippone, F. Camastra, F. Masulli, S. Rovetta, "A survey of kernel and spectral methods for clustering", Pattern Recognition, 41, 1 pp. 176-190, 2008. Author of more than 200 scientific papers in Clustering, Machine Learning, Neural Networks, Fuzzy Systems and Bioinformatics. Chair of many international conferences and schools, including the WILF International Workshop in Fuzzy Logic and Applications (1995, 1999, 2001, 2003, 2007, 2013), the CIBB - International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics (2004, 2005, 2006, 2008, 2009, 2010, 2012) and the Courses of the International School on Neural Networks "E.R. Caianiello" on Ensemble Methods for Learning Machines (Vietri, 2002) and on Computational Intelligence Methods for Data Analysis in Oncology Bioinformatics (Vietri, 2010).