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Monday, 20 November 2017
Keynote Speakers
 Professor George Vouros
Title: Taming Big Maritime Data to Support Analytics
Abstract: This talk aims to present important challenges and progress achieved towards the representation, integration  and management of data regarding the maritime domain for supporting analysis tasks. The talk will focus on data sources to support specific scenarios that are addressed in the datAcron project (http://www.datacron-project.eu), modelling of such data, as well as  technologies towards integrating/interlinking and managing big maritime data.
Short bio: Professor George Vouros (B.Sc, Ph.D) holds a BSc in Mathematics, and a PhD in Artificial Intelligence all from the University of Athens, Greece. Currently he is Professor in the Department of Digital Systems, University of Piraeus. He works mainly in the areas of knowledge management, Ontologies (their engineering, alignment, mapping, coordination, learning and evolution), Multiagent systems organizations and their adaptation, Architectures of collaborative agents, Collaboration and Coordination in multiagent systems. He has published numerous articles in these topics and has participated in numerous national and international research and innovation projects as researcher, scientific manager and principal investigator. Currently he serves as project coordinator in two international projects: datAcron (www.datacron-project.eu) και DART (www.dart-research.eu).  Details for his work can be found in http://ai-group.ds.unipi.gr/.
  Professor Bo Huang
Title: Big Data, Small Data and Human Activities
Abstract: Recent years have witnessed a dramatic increase in our ability to collect data from various mobile devices, sensors and the Internet. This has created an opportunity to capture human activities, which were, however, difficult to obtain traditionally. In this presentation, I will give a brief introduction to big data including an analysis of their pros and cons. Subsequently, I will discuss our recent work on using big data and small data to detect urban structure and urban vibrancy and to estimate population-weighted air pollution exposure. Garnering the dynamic distribution of population, our studies are expected to gain more insights into the human behavior in relation to space and time, thereby facilitating the development of more informed spatial plans and designs.
Short bio: Dr. Bo Huang is a Professor in the Department of Geography and Resource Management, The Chinese University of Hong Kong, where he is also the Associate Director of Institute of Space and Earth Information Science (ISEIS). Prior to this, he held faculty positions at University of Calgary, Canada and National University of Singapore. He has a background and experience in diverse disciplines, including urban planning, computer science, Geographic Information Systems (GIS) and remote sensing. His research interests are broad, covering most aspects of GIScience, specifically the design and development of models in spatial/spatio-temporal statistics, remote sensing image fusion and multi-objective spatial optimization, and their applications in environmental monitoring and sustainable land use and transportation planning. Dr. Huang serves as the Asia-Pacific Editor of International Journal of Geographical Information Science (Taylor & Francis) and the Editor-in-Chief of Comprehensive GIS (Elsevier), a three-volume major GIS sourcebook. Currently he is exploring along the line of geospatial big data to address spatio-social problems in collaboration with colleagues in the Faculty of Social Science, CUHK. He was awarded Chang Jiang Scholar Chair Professorship in 2016 by the Ministry of Education of PR China.
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International Maritime Lecturers Association (IMLA)

Computer Applications Committee of CSNAME

Key Laboratory of Geographic Information Science Ministry of Education

Shanghai Power Supply Society

Shanghai Federation of Pudong R&D Institutions