Keynote Speakers

Head of the Social and Evolutionary Neuroscience Research Group in the

Department of Experimental Psychology at the University of Oxford and is best known for formulating Dunbar’s number, a measurement of the “cognitive limit to the number of individuals with whom any one person can maintain stable relationships”.

Professor at Computer Science Department University of California, Los Angeles (UCLA). At UCLA Professor Gerla has designed network protocols including ad hoc wireless clustering, multicast (ODMRP and CODECast) and Internet transport (TCP Westwood). Has lead the ONR MINUTEMAN project, designing the next generation scalable airborne Internet for tactical and homeland defense scenarios. Now leads several advanced wireless network projects under Industry and Government funding.

Abel Bliss Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign, who has been working on research into data mining, data warehousing, database systems, data mining from spatiotemporal data, Web data, and social/information network data.

Brian Uzzi is a globally recognized scientist, teacher, consultant and speaker on leadership, social networks, and new media. He is the Richard L. Thomas Professor of Leadership and Organizational Change at the Kellogg School of Management, Northwestern University.

Professor in the Declarative Languages and Artificial Intelligence Group DTAI of the Department of Computer Science at KU Leuven.

Professor of Department of Computer & Information Science University of Konstanz. Areas of interest include social network analysis, network science, graph drawing and information visualization, efficient graph algorithms and experimental algorithmics.

Associate Professor of Complex Systems of the Department of Biomedical Engineering and Computational Science (BECS) of the School of Science of Aalto University in Espoo, Finland.

Full Professor at Faculty of Physics, Warsaw University of Technology where he leads a Center of Excellence of Complex Systems Research. His current research field includes models of emotions in cybercommunities, economic and social networks, collective bankruptcies, collective opinion formation, nonequilibrium statistical physics, cellular automata, self- organized criticality and phase transitions.

Associate Professor in the Computer Science Department at the Technical University of Dortmund, Germany. Main research interests are data mining, machine learning, and statistical relational artificial intelligence. He has published over 110 peer-reviewed papers and received the ECCAI Dissertation Award 2006,the ECML Best Student Paper Award in 2006, the ACM SIGSPATIAL GIS Best Poster Award in 2011, and the AAAI-2013 Outstanding PC Member Award.

Professor of Physics at Department of Physics, Applied Physics, and Astronomy Rensselaer Polytechnic Institute.

Professor at Jozef Stefan International Postgraduate school and University of Primorska teaching classes on Data Mining and Knowledge Discovery; Text, Web and Multimedia Mining, Semantic Technologies. Slovenian representative in EC Enwise STRATA ETAN Expert Group Promoting women scientists from the Central and Eastern European countries and the Baltic States to produce gender equality in science in the wider Europe.

Professor of Nonlinear and Complex Systems Mathematical Institute, University of Oxford. Mason Porter is an applied mathematician. He primarily studys “nonlinear systems” and “complex systems”. He has investigated a diverse set of topics — including social networks, granular materials, quantum chaos, solitary waves, brain networks, human mobility, cow synchronization, and many more.

Network scientist, director of the Center for Network Science and associate professor at the Department of Sociology and Social Anthropology, at Central European University.

Studies networks of various kinds; how their evolution depends on processes on the network and how their structure influences such processes. Holme builds methods to understand large-scale systems by combining theories from different fields—physics, sociology, bioinformatics, economy, etc. Examples of projects include how to predict population displacements in disasters and exploit temporal contact structures to mitigate epidemics. Holme is Associate Professor at Department of Physics, Umeå University. Project member of: Criminal networks and social organizing.