Dr. Alexander Todorov
- Title: Modeling Social Perception of Faces
- Abstract
- Biographical Sketch
- URL of Complete Curriculum Vitae: http://titan.princeton.edu/~atodorov
Research in psychology shows that people a) form instantaneous impressions of other people based on facial appearance; b) agree in these impressions; and c) often act on these impressions. In this talk, I will describe data-driven, reverse correlation methods that can be used to model evaluation of faces on any social dimension (e.g., trustworthiness) and to identify the perceptual basis of this evaluation.
Alexander Todorov received his PhD in psychology from New York University in 2002. Currently, he is an associate professor of psychology and public affairs at Princeton University with a joint appointment in the Department of Psychology and the Woodrow Wilson School of Public and International Affairs. He is also an affiliated faculty of the Princeton Neuroscience Institute. His research focuses on the cognitive and neural basis of social perception and cognition. His work on evaluation of faces on social dimensions has been funded by the National Science Foundation. He is recipient of the SAGE Young Scholar Award from the Foundation for Personality and Social Psychology (2008) and Guggenheim Fellowship from the John Simon Guggenheim Memorial Foundation (2010).
Dr. Ahmad-Reza Sadeghi
Title: Smart and Secure? On the Security and Privacy of Smartphones
Abstract
This talk will reflect a
snapshot of my experience with the evolution of mobile devices and
services and their security and privacy aspects in various academic,
industrial and governmental projects.
Today, smartphones (tablets) offer more opportunities for reaching higher security standards than it was the case with commodity PC platforms, since they provide well-defined APIs, clear development processes and kits for Application Developers as well as basic, yet coarse-grained security framework. Based on this I will discuss some of the recent research results and works on smartphone security and privacy (including that of my team) as well as the requirements of enterprises on the deployment of these devices for corporate purposes. Pointing out the huge gap between the academic research and practice I aim at discussing “smart” security and privacy for “smart” devices.
Biographical Sketch
URL of
Complete Curriculum Vitae: www.trust.cased.de
Ahmad-Reza Sadeghi is a full professor of Computer Science at Technische Universität Darmstadt. He is the Director of System Security Lab at Center for Advance Security Research Darmstadt (CASED) and Scientific Director of Fraunhofer Institute for Secure Information Systems (SIT). Since January 2012 he is also the Director of Intel-TU Darmstadt Security Institute in Darmstadt, Germany.
He received his PhD in Computer Science with the focus on privacy protecting cryptographic protocols and systems from the University of Saarland in Saarbrücken, Germany. Prior to academia, he worked in Research and Development of Telecommunications enterprises, amongst others Ericson Telecommunications. He has been leading and involved in a variety of national and international research and development projects on design and implementation of trustworthy computing platforms and trusted computing, security in hardware, cryptographic privacy protecting systems, and cryptographic compilers (in particular for practical secure computation). He has been continuously contributing to the IT security research community and serving as general or program chair as well as program committee member of many conferences and workshops in information security and privacy. He is on Editorial Board of the ACM Transactions on Information and System Security.
Prof. Sadeghi has been awarded with the renowned German prize “Karl Heinz Beckurts” for his research on Trusted and Trustworthy Computing technology and its transfer to industrial practice. The award honors excellent scientific achievements with high impact on industrial innovations in Germany. Further, his group received the second prize of German IT Security Competition Award 2010.
