Keynotes
Bio sketch
Born in 1947, Robert Laurini (aka Roberto) holds two doctorates, one in 1973, and the other in 1980, both in information technologies awarded by the Claude Bernard University of Lyon, France. He speaks fluently French, English, Italian and Spanish.
Throughout his career, he primarily worked at INSA-Lyon (University of Lyon), eventually achieving the status of distinguished professor. However, in 1976-77, he spent an entire year as a research associate at the Martin Centre of the University of Cambridge in the United Kingdom. In addition, in 1986-87, he served as a visiting professor at the University of Maryland, College Park, USA. Between 1995 and 2005, he held a part-time position at IUAV University in Venice, Italy. Since 2011, he has retired and holds the title of professor emeritus.
During his career, he worked overall on computing aspects of geographic information systems, namely spatial data indexing, geometric quality control, geographic database consistency, updating through aerial photos, visual summaries, chorem generation from spatial data mining, geographic ontologies, sensor data organization and indexing, etc. In total, he supervised or co-supervised 44 PhD students in those domains. His more recent works have been on geographic knowledge, especially targeted to smart cities and territorial intelligence.
He wrote several books regarding geographic information systems, especially for urban and environmental planning and the last one is “Geographic Knowledge Infrastructure: Applications to Territorial Intelligence and Smart Cities” published in 2017. He authored or co-authored more than 250 papers in various journals and conferences.
He was invited to give seminars in many countries, especially in Italy, Morocco, Algeria, Argentina, and Mexico. He was a member of PhD committees more than 100 times in 19 countries.
During the nineties, he was president of the ACMGIS steering committee (now SIGSpatial), vice-president of UDMS, European editor of Computers, Environment and Urban Systems, and associate editor of the Journal of Visual Languages and Computing.
In 2009, he founded the NGO named “Universitaires Sans Frontières/Academics Without Borders” the scope of which is to help modernize universities in developing countries. In this NGO, he is now in charge of several universities in Latin America, especially for the training of PhD students and young researchers for scientific writing, and for lab heads in the definition and validation of promising novel research lines.
For more details see www.laurini.net/robert.
Abstract
Knowledge Modeling for Urban Planning
Decisions regarding the future of a city are based on 4 types of knowledge bundles, awareness of the local context, current regulations about urban planning, planners’ objectives and information coming from outside experiences. In order to make reasoning with those knowledge bundles, a language has been created based on rules and set theory. Those rules combine urban objects (buildings, streets, parcel, etc. together with their ontology), relationships between them (topologic, cardinal, etc.), mathematical models (static or dynamic) and gazetteer (dictionary of placenames). Sometimes knowledge chunks are not based on previous experiences, but derived from anticipations, known as feedforward knowledge. The scope of this key address will be, after having rapidly presented some applications, (i) to describe the grammar of this language, (ii) to give several examples and (iii) to explain how to use them in decision making. Finally, some remarks will be given to define territorial intelligence by mixing adequately artificial intelligence and collective human intelligence.
Dr. Robert Laurini
Professor Emeritus in Information Technologies
Nicos Maglaveras
Professor of Medical Informatics Aristotle University of Thessaloniki Greece
Personalised health driven by digital health systems and multi-source health/environmental data, ML/AI/DL analytics and predictive models
Nicos Maglaveras received the diploma in electrical engineering from the Aristotle University of Thessaloniki (A.U.Th.), Greece, in 1982, and the M.Sc. and Ph.D. degrees in electrical engineering with an emphasis in biomedical engineering from Northwestern University, Evanston, IL, in 1985 and 1988, respectively. He is currently a Professor of Medical Informatics, A.U.Th. He served as head of the graduate program in medical informatics at A.U.Th, as Visiting Professor at Northwestern University Dept of EECS (2016-2019), and is a collaborating researcher with the Center of Research and Technology Hellas, and the National Hellenic Research Foundation.
His current research interests include biomedical engineering, biomedical informatics, ehealth, AAL, personalised health, biosignal analysis, medical imaging, and neurosciences. He has published more than 500 papers in peer-reviewed international journals, books and conference proceedings out of which over 160 as full peer review papers in indexed international journals. He has developed graduate and undergraduate courses in the areas of (bio)medical informatics, biomedical signal processing, personal health systems, physiology and biological systems simulation.
He has served as a Reviewer in CEC AIM, ICT and DGRT D-HEALTH technical reviews and as reviewer, associate editor and editorial board member in more than 20 international journals, and participated as Coordinator or Core Partner in over 45 national and EU and US funded competitive research projects attracting more than 16 MEUROs in funding. He has served as president of the EAMBES in 2008-2010. Dr. Maglaveras has been a member of the IEEE, AMIA, the Greek Technical Chamber, the New York Academy of Sciences, the CEN/TC251, Eta Kappa Nu and an EAMBES Fellow.
Abstract
The last years saw a steep increase in the number of wearable sensors and systems, mhealth and uhealth apps both in the clinical settings and in everyday life. Further large amounts of data both in the clinical settings (imaging, biochemical, medication, electronic health records, -omics), in the community (behavioral, social media, mental state, genetic tests, wearable driven bio-parameters and biosignals) as well as environmental stressors and data (air quality, water pollution etc.) have been produced, and made available to the scientific and medical community, powering the new AI/DL/ML based analytics for the identification of new digital biomarkers leading to new diagnostic pathways, updated clinical and treatment guidelines, and a better and more intuitive interaction medium between the citizen and the health care system.
Thus, the concept of connected and translational health has started evolving steadily, connecting pervasive health systems, using new predictive models, new approaches in biological systems modeling and simulation, as well as fusing data and information from different pipelines for more efficient diagnosis and disease management.
In this talk, we will present the current state-of-the-art in personalized health care by presenting cases from COVID-19 and COPD patients using advanced wearable vests and new technology sensors including lung sound and EIT, new outcome prediction models in COVID-19 ICU patients fusing X-Rays, lung sounds, and ICU parameters transformed via AI/ML/DL pipelines, new approaches fusing environmental stressors with -omics analytics for chronic disease management, and finally new ML/AI-driven methodologies for predicting mental health diseases including suicidality, anxiety, and depression.
