KEYNOTE SPEAKERS LIST
Seymour Goodman, Georgia Institute of Technology, United States
Title: To be announced
Ivona Brandic, Vienna UT, Austria
Title: To be announced
Dimitris Karagiannis, University of Vienna, Austria
Title: Towards Open Models: Foundations, Concepts and Best Practices
Matteo Golfarelli, University of Bologna, Italy
Title: Social Business Intelligence
To be announced
Georgia Institute of Technology
Seymour (Sy) E. Goodman is Professor of International Affairs and Computing, jointly at the Sam Nunn School of International Affairs and the College of Computing at the Georgia Institute of Technology. He serves as Co-Director of both the Georgia Tech Information Security Center (GTISC) and the Center for International Strategy, Technology and Policy (CISTP).
Prof. Goodman's research interests include international developments in the information technologies (IT), technology diffusion, IT and national security, and related public policy issues. Areas of geographic interest include the former Soviet Union and Eastern Europe , Latin America , the Middle East , South and Southeast Asia , and parts of Africa . Earlier research had been in areas of statistical and continuum physics, combinatorial algorithms, and software engineering. Current work includes research on the global diffusion of the Internet and the protection of large IT-based infrastructures
Immediately before coming to Georgia Tech, he was Director of the Consortium for Research on Information Security and Policy (CRISP) at the Center for International Security and Cooperation, with an appointment in the Department of Engineering Economic Systems and Operations Research, both at Stanford University; and Professor of MIS and a member of the Center for Middle Eastern Studies at the University of Arizona. Earlier tenured and visiting appointments have been at the University of Virginia (Applied Mathematics, Computer Science, and Soviet and East European Studies), Princeton University (Mathematics, and the Woodrow Wilson School of Public and International Affairs), and the University of Chicago (Economics).
Prof. Goodman is Contributing Editor for International Perspectives for the Communications of the ACM , and has served with many government, academic, professional society, and industry advisory and study groups. His research pursuits have taken him to all seven continents and over 80 countries, and have included testimony before legislative bodies and Ministerial-level briefings. He is currently principal investigator on two large grants from the National Science Foundation and the MacArthur Foundation.
Prof. Goodman was an undergraduate at Columbia University , where he started as an aspiring English major, and obtained his Ph.D. from the California Institute of Technology, where he worked on problems of applied mathematics and mathematical physics.
To be announced
To be announced
Dr. Ivona Brandic is Assistant Professor at the Distributed Systems Group, Information Systems Institute, Vienna University of Technology (TU Wien). Prior to that, she was Assistant Professor at the Department of Scientific Computing, Vienna University. She received her PhD degree from Vienna University of Technology in 2007. From 2003 to 2007 she participated in the special research project AURORA - Advanced Models, Applications and Software Systems for High Performance Computing and the European Union's GEMSS - Grid-Enabled Medical Simulation Services project. She is involved in the European Union's SCube project and she is leading the Austrian national FoSII - Foundations of Self-governing ICT Infrastructures project funded by the Vienna Science and Technology Fund (WWTF). She is management committee member of the European Commission's COST Action on Energy Efficient Large Scale Distributed Systems. From June to August 2008 she was visiting researcher at the University of Melbourne, Australia.
In 2011 she received the Distinguished Young Scientist Award from the Vienna University of Technology for her HALEY project on Holistic Energy Efficient Hybrid Clouds. Her interests comprise Service Level Agreement and Quality of Service management in large scale distributed systems, autonomic computing, workflow management for scientific applications, and energy efficient large scale distributed systems (Cloud, Grid, Cluster, etc.). She published more than 50 scientific journal, magazine and conference publications and co-authored a text book on federated and self-manageable Cloud infrastructures. I. Brandic co-authored European Union's Cloud Computing report paving future research directions of the EU. In 2010 she chaired the International Conference on Utility and Cloud Computing held in Chennai, India. She has been serving more than 50 program committees (among others EuroPar, COMPSAC, CloudCom) and was invited reviewer of more than 10 international journals. In 2011 she edited two special issues for Future Generation Computer Systems (Elsevier) and Scientific Programming Journal (IOS Press). I. Brandic has been invited expert evaluator of the European Commission, French National Research Organization (ANR), National Science and Engineering Research Council Canada (NSERC) and Netherlands Organization for Scientific Research (NWO).
To be announced
Towards Open Models: Foundations, Concepts and Best Practices
University of Vienna
Dimitris Karagiannis is head of the research group knowledge engineering at the University of Vienna.
His main research interests include knowledge management, modelling methods and meta-modelling.
Besides his engagement in national and EU-funded research projects Dimitris Karagiannis is the
author of research papers and books on Knowledge Databases, Business Process Management,
Workflow-Systems and Knowledge Management. He serves as expert in various international
conferences and is presently on the editorial board of Business & Information Systems Engineering
(BISE), Enterprise Modelling and Information Systems Architectures and the Journal of Systems
Integration. He is member of IEEE and ACM and is on the executive board of GI as well as on the
steering committee of the Austrian Computer Society and its Special Interest Group on IT
Governance. Recently he started the Open Model Initiative (www.openmodels.at) in Austria. In 1995
he established the Business Process Management Systems Approach (BPMS), which has been
successfully implemented in several industrial and service companies, and is the founder of the
European software- and consulting company BOC (http://www.boc-group.com), which implements
software tools based on the meta-modelling approach.
Social Business Intelligence
University of Bologna
Matteo Golfarelli received the Ph.D. degree for his work on autonomous agents in 1998 from the University of Bologna. Since 2005, he is an associate professor in the same University, teaching information systems, database systems, and data mining. He has published more than 90 papers in refereed journals and international conferences in the fields of pattern recognition, mobile robotics, multi-agent systems, and business intelligence that is now his main research field. Within this area, in the last 15 years he explored many relevant topics such as collaborative and pervasive BI, temporal Data Warehouses, physical and conceptual Data Warehouse design. In particular he proposed the Dimensional Fact Model a conceptual model for Data Warehouse systems that is widely used in both academic and industrial contexts. His current research interests include distributed and semantic data warehouse systems, and social business intelligence and open data warehouses. He joined several research projects on the above areas and has been involved in the PANDA thematic network of the European Union concerning pattern-base management systems.
The huge quantity of information, talks, posts, and papers available on the web cannot be ignored by companies. Being aware in near-real time of hot topics and opinions about a product or a topic is strategic for taking better decisions. Unfortunately, this information is totally or partially unstructured, thus it is difficult to be exploited. Most of the commercial solutions are "closed" applications and most of the services are one-shot projects rather than stable monitoring systems that enable a limited exploitation of the information. Practitioners often refer to this family of tools as Opinion Mining software, Sentiment Analysis Software, or Brand Reputation Software. Many companies would prefer a solution that could be integrated in the enterprise information systems and that could be considered as yet another data flow to be included in the Business Intelligence platform and to be queried with the traditional tools that are well-known to the users.
Social business intelligence is the discipline of combining corporate data with user-generated content to let decision-makers improve their business based on the trends perceived from the environment. Setting up a Social BI architecture requires contributions by several areas of computer science such as Information Retrieval, Text Mining, Database, Ontology and Artificial Intelligence The keynote will describe the features of a Social BI architecture, it will survey the research issues related to it and it will go into details about database and big data issues that would allow to create BI like capabilities.