Keynotes & Plenary Talks
Multimedia Computing - How Computers and Humans Can Learn from Each Other
Prof. Dr. Gabriele Anderst-Kotsis
In the past decades, multimedia computing invloved the creation, processing, storage and distribution of audio and visual content. Advances in wireless network technologies and increasing capabilities of mobile devices enabled us to make multimedia computing mobile. The most recent trend to be observed is the digitalization of all types of media, involving and addressing all human senses, e.g. haptic / tactile input and output modalities, enhancing multimedia experience with olfactoric stimuli or even directly connecting computers to human brain activity. In the first part of this talk, we are going to reflect on the impact of this new notion of multimedia in many application domains. We will argue towards the need for rich media interaction, i.e. going beyond the classical multimedia formats of audio and video. We will highlight the importance of considering QoS in service development and deployment leading to a high level of user satisfaction. In the second part of this talk, we will critically reflect potential downsides of those trends, ranging from well known concerns about security and privacy to problems of information overload and the risk of prefering digital instead of human communication. We will illustrate how multisensory/multimedia computing can help humans in extending their perceptional capabilites, i.e. how humans can learn and benefit from computers, but also what is needed so that computers better understand and learn from humans. The talk should end in a discussion on what we as the scientific community in computer science, can and should do to ensure beneficial and sustainable advances in technology.
Gabriele Anderst-Kotsis is holding a full professor position in computer science at Johannes Kepler Universitšt Linz. She is chairing the Department of Telecooperation with a research focus in mobile computing, multimedia and hypermedia systems as well as cooperative and collaborative systems. Research in those areas includes the investigation of methods, techniques and tools for system development as well as evaluation and analysis with focus on performance evaluation. The Department is participating in numerous national and international projects, including CRUISE, a European network of excellence in sensor networks, EuroFGI, a network of excellence on Future Generation Internet, the AustrianGrid project, or ModelCVS a project on semantics in SW and system modelling, and actively involved in the organisation of international conferences, including for example iiWAS and MoMM. Prof. Anderst-Kotsis is author of numerous publications in international conferences and journals and is co-editor of several books. She is currently Member at large of ACM.
The Web of Scholars
Prof. Dr. Feng Xia
Scholarly data of various types are growing rapidly in all scientific disciplines. The availability of these data makes it possible to profile scholars in numerous dimensions, discover relationships between scholars, and understand the dynamics of science. In particular, scholarly big data is leading to the emergence of the web of scholars. In this era of a small world, almost all scholars are connected, directly or indirectly. While some connections between scholars might be visible/explicit in, e.g., co-authorship networks, other connections might be invisible/implicit. Generally, social networks of scholars could be derived from analysis and mining of scholarly big data. Understanding the structure and dynamics of the web of scholars gives rise to a lot of potentials as well as challenges. This talk will look into recent advances in this field, showcase some solutions for addressing relevant challenges, and discuss potential applications.
Dr. Feng Xia is currently a Full Professor in School of Software, Dalian University of Technology (DUT), China. He is founding Director of The Alpha Lab (http://thealphalab.org/) and Associate Dean (Research) of School of Software. He is/was on the Editorial Boards of over 10 intíl journals. He has served as the General Chair, Program Committee Chair, Workshop Chair, or Publicity Chair of over 30 intíl conferences and workshops. He is also the Guest Editor of over 10 journal special issues and a (founding) organizer of several conferences. Dr. Xia has authored/co-authored two books, over 200 scientific papers in intíl journals and conferences (such as IEEE TC, TMC, TBD, TCSS, TPDS, TETC, THMS, TVT, TII, TIE, IEEE/ACM TON, ACM TOMM, WWW, JCDL, MobiCom, and INFOCOM) and 3 book chapters. He has an h-index of 37, an i10-index of 134, and a total of more than 5400 citations to his work according to Google Scholar. His name has been included on Elsevierís Most Cited Chinese Researchers for four consecutive years (2014-2017; ever since its inaugural version). Dr. Xia received a number of prestigious awards, including WWW 2017 Best Demo Award, IEEE DataCom 2017 Best Paper Award, and IEEE UIC 2013 Best Paper Award. His research interests include computational social science, network science, data science, and mobile social networks. He is a Senior Member of IEEE and ACM, and a Member of AAAS. URL: http://fengxia.net/