Shanghai Maritime University (China) & Naval Academy Research Institute (France)
Professor Christophe Claramunt is currently the chair of the Naval Academy Research Institute in France. He was previously a senior lecturer in computing at the Nottingham Trent University and senior researcher at the Swiss Federal Institute of Technology in Lausanne. His research is oriented towards theoretical, computational and pluri-disciplinary aspects of geographical information systems. Over the past few years he has been regularly involved in EU funded projects such as the H2020 project datAcron "Big Data Analytics for Time Critical Mobility Forecasting". Amongst other affiliations, he is a research fellow at the Research Center for Social Informatics of the Kwansei University in Japan, Centre for Planning Studies at the Laval University and at the Joint Laboratory for Geographical Information Science at the Chinese University of Hong Kong.
Beijing Normal University, China
Ping Guo, Professor, IEEE senior member, CCF senior member, School of systems science, Beijing Normal University; and Ph. D. supervisor in computer software and theory of Beijing Institute of Technology. Chair of the Key Laboratory of graphics, image and pattern recognition, Beijing Normal University, Chair of IEEE CIS Beijing Chapter (2015-2016). His research interests include computational intelligence theory and its applications inpattern recognition, image processing, software reliability engineering, and astronomical data processing. He has published more than 300 papers, hold 6patents, and the author of two books: “Computational intelligence in software reliability engineering”, and “Image semantic analysis.” received 2012 Beijing municipal government award of science and technology (third rank) entitled "regularization method and its application". Professor Guo received his master's degree in optics from the Department of physics, Peking University, and received his Ph.D degree from the Department of computer science and engineering, Chinese University Hong Kong.
University of Technology, Sydney
Associate Professor Paul Kennedy is Head of Discipline (Data Analytics / Artificial Intelligence) in the School of Software, Faculty of Engineering & IT, University of Technology Sydney. He is also Director of the Biomedical Data Science Laboratory in the UTS Centre for Artificial Intelligence. He has a PhD (Computing Science) and joined UTS in 1999. Paul’s research interests are in data analytics in the biomedical domain. He is co-initiator of a 15 year research collaboration with the Tumour Bank at The Children’s Hospital at Westmead. That work develops data analytics approaches to predict treatment outcomes and aggressiveness of childhood cancers, including Acute Lymphoblastic Leukaemia and Neuroblastoma, with the aim of helping medical researchers understand the diseases and to inform clinicians in devising their treatments. He also has interests in bioinformatics and text analytics.