Sheng Chen, IEEE Fellow, IET Fellow, Fellow of the United Kingdom Royal Academy of Engineering
Professor. Dr., University of Southampton, United Kingdom
Sheng received the BEng degree in control engineering from the East China Petroleum Institute in January 1982 and the PhD degree in control engineering from the City University at London in September 1986. In 2005, he was awarded the higher doctoral degree, Doctor of Sciences (DSc), by the University of Southampton.
He joined the School of Electronics and Computer Science, the University of Southampton in September 1999, where he currently holds the post of Professor in Intelligent System and Signal Processing. He previously held research and academic appointments at the Universities of Sheffield, Edinburgh and Portsmouth. He is a Distinguished Visiting Professor at King Abdulaziz University, Jeddah, Saudi Arabia. Professor Chen is a Chartered Engineer (CEng), a Fellow of IET (FIET), and a Fellow of IEEE (FIEEE). He was elected to a Fellow of the United Kingdom Royal Academy of Engineering in 2014.
Sheng's research interests are in learning theory and neural networks, adaptive signal processing for communications, wireless communications, modelling and identification of nonlinear systems, evolutionary computation methods and optimisation.
Chair/Professor. Dr., University of Portsmouth, the United Kingdom
Hui Yu is Professor with the University of Portsmouth, UK. He leads the Visual Computing Group at the University of Portsmouth. He used to work at the University of Glasgow. His research interests include methods and practical development in vision, machine learning and AI with applications to human-machine interaction, Virtual and Augmented reality, robotics and geometric processing of facial expression. He serves as an Associate Editor of IEEE Transactions on Human-Machine Systems and Neurocomputing journal.
Speech Title: Deep learning application and facial analysis on data in the wild
Abstract: Video analysis has been an active research field with popular applications. The vast demands and advancement of technologies have enabled a wide range of applications of sensing systems for capturing facial performance and affective states. With the availability of the complex facial data, a large body of research has been conducted in the past decades. However, there are still significant challenges in this area due to new applications and higher accuracy demands. In-the-wild facial data under unconstrained conditions pose a big challenge to existing facial analysis approaches. In this talk we will address the challenges and some new solutions to facial and gaze analysis on wild data. We will also discuss the fundamental techniques in face frontalization, facial landmark localization and gaze estimation with their applications.
Michele Della Ventura
Professor. Dr., Music Academy 'Studio Musica', Italy
Michele Della Ventura, professor of Music Technology, is a learning expert, researcher and instructional designer. His research interests include correlation between music and mathematics with a particular emphasis on artificial intelligence research in the field of computer-aided analysis of tonal music; intelligent systems; enhancing teaching and learning with technology; assessment for learning and strategies and models for the effective integration of technology into the curriculum at all academic levels.
He is the author of several articles presented at many conferences and published in international science magazines and high school textbooks (also featured at the International Book Salon of Turin in 2012 and 2018).
He proofreads articles and is a member of scientific committees in International Conferences.
He was invited as keynote speaker to International Conferences in Italy, Austria, Canada, China, Czech Republic, France, Germany, Hong Kong, Hungary, Ireland, Japan, Norway, Poland, Portugal, Romania, Singapore, Spain, UK, US (Baltimora, Boston, Las Vegas, New York, Washington).
Michele Della Ventura has also consulted on Big Data and Semantic Technology projects in Italy. Some of the projects include indexation of the symbolic level of musical text.
He is currently involved in a research project related to technology supported learning in collaboration whit Università di Roma La Sapienza.
He teaches Music Informatics in University courses at Music Academies and Conservatories and Musical Technologies in Music High Schools.
Speech Title: E-Teacher vs E-Student
Abstract: Nowadays we find ourselves witnessing, not always adequately aware, of a great change, the one produced by digital media and the web. Hence the need for teachers to educate first of all themselves, if they want to guarantee a good education to students, that is, the most direct witnesses of this change. And this is possible not from outside but, as far as possible, from within the media. Only in this way does the teacher begin a learning process that leads him to discover new environments in which learning and teachings are presented as circular and interchangeable; roles have marked elements of flexibility; the learning materials are conceived as open and therefore constantly integrable and modifiable by all the actors (students, teachers, tutors); the environments take on various configurations, in order to the different activities that gradually emerge within the learning community; communications proceed according to multidirectional trends. In this talk we will address the challenges that teachers have to face in order to organize learning experiences and thus improve the learning process.
Prof. Dr. Thomas Hanne，
University of Applied Sciences and Arts Northwestern Switzerland, Switzerland
Thomas Hanne received master's degrees in Economics and Computer Science, and a PhD in Economics. From 1999 to 2007 he worked at the Fraunhofer Institute for Industrial Mathematics (ITWM) as senior scientist. Since then he is Professor for Information Systems at the University of Applied Sciences and Arts Northwestern Switzerland and Head of the Competence Center Systems Engineering since 2012. Thomas Hanne is author of more than 160 journal articles, conference papers, and other publications and editor of several journals and special issues. His current research interests include computational intelligence, evolutionary algorithms, metaheuristics, optimization, simulation, multicriteria decision analysis, natural language processing, systems engineering, software development, logistics, and supply chain management.
Speech Title: On the Evolution of Multiobjective Evolutionary Algorithms
Abstract: We provide a survey of the development history of multiobjective evolutionary algorithms as one of the major approaches in complex search and optimization problems. We first introduce some basic concepts related to multiobjective optimization and discuss basic types of multiobjective evolutionary algorithms. Pareto-based selection and niching are discussed in more details together with further advances in the development of respective algorithms. After that, applications are surveyed in two rather established areas, i.e., engineering and economics, and a more recent field, i.e., advanced analytics. We finish with the conclusions that compare the history of multiobjective evolutionary algorithms with an evolutionary process itself.