KEYNOTE SPEAKERS

Thomas Pock

Institute of Computer Graphics and Vision
Graz University of Technology, Austria

Title: Learning better models for inverse problem in imaging

Abstract: In this talk, I will present our ongoing activities in learning better models for inverse problems in imaging. We consider classical variational models used for inverse problems but generalized these models by introducing a large number of free model parameters. We learn the free model parameters by minimizing a loss function comparing the reconstructed images obtained from the variational models with ground truth solutions from a training data base. I will also show recent results on learning “deeper” regularizers that are allowed to change their parameters in each iteration of the algorithm. We show applications to different inverse problems in imaging where we put a particular focus on image reconstruction from undersampled MRI data.

CV: Thomas Pock received his MSc (1998-2004) and his PhD (2005-2008) in Computer Engineering (Telematik) from Graz University of Technology. After a Post-doc position at the University of Bonn, he moved back to Graz University of Technology where he has been an Assistant Professor at the Institute for Computer Graphics and Vision. In 2013 Thomas Pock received the START price of the Austrian Science Fund (FWF) and the German Pattern recognition award of the German association for pattern recognition (DAGM) and in 2014, Thomas Pock received an starting grant from the European Research Council (ERC). Since June 2014, Thomas Pock is a professor of computer science at Graz University of Technology (AIT Stiftungsprofessur “Mobile Computer Vision”) and a principal scientist at the Center for Vision, Automation & Control at the Austrian Institute of Technology (AIT). The focus of his research is the development of mathematical models for computer vision and image processing as well as the development of efficient convex and non-smooth optimization algorithms.

Davor Pavuna

Davor PAVUNA

Institute of Physics – LPCM

Ecole Polytechnique Federale de Lausanne (EPFL)

CH-1015 Lausanne EPFL, Switzerland

davor.pavuna@epfl.ch

Title: On Quantum Computing, Kurzweil Singularity and Beyond

Abstract: Successes of the twentieth century physics and electronics made a huge impact on our society: from space technology to improved medical tools to colossal advancements in computing … And, while we still do not understand complex cooperative phenomena in the nanoscale limit, we nevertheless have ever more advanced software and over 6 billion smartphones! Moreover, in this early 3rd Millenium, we face huge challenges: Many timely, relevant themes are discussed here at the 2018. International Conference on Smart Systems and Technologies, yet I will deliberately discuss somewhat broader vision. Fast advancements in Quantum Computing (QC) and Artificial Intelligence (AI), beyond the Kurzweil singularity, are very competitive fields, and we will consider some latest examples and emerging trends. And I am happy to admit that we cannot as yet provide all coherent answers in QC or AI, so there are great opportunities for our new generations!

CV: Elementary school in Osijek, B.Sc. and M.Sc. in Zagreb (PMF, 1977); Ph.D. on electronic properties of amorphous metals (1982) under Sydney Dugdale, the President of the Science Research Council of Great Britain. After 3 years in CNRS (Grenoble), in 1986. joins the Swiss Federal Institute of Technology at Lausanne (EPFL). Successful research on (macroscopic) quantum phenomena within disorder in quantum matter. Publications include >200 cc papers, 35 topical reviews, 25 edited professional books, and a textbook on superconductivity (1992), used in >4000 courses worldwide! Co-organizer of 28 international conferences (see http://dubrovnik.epfl.ch ) and 7 summer schools. More than hundred colloquia in leading institutions worldwide and as many invited conference talks; hundreds of public lectures. Adviser to 36 government agencies and advanced high-tech companies worldwide. Tesla World Foundation President.

Dr. Edgar Weippl

Research Director of SBA Research and Privatdozent at the TU Wien

Title: Research Methods and Examples of Research in Distributed Systems Security

Abstract: Over the past few years an increasing number of descriptive works have helped explain complex phenomena in the area of distributed systems security. These include the efficiency of spam campaigns, the distribution of bots, or the likelihood of users to accept false identities as friends in social networks. Studies in this field are characterized by the necessity of empirical research based on observing, describing and inferring the behaviour of complex systems.

Future research in the area of distributed systems security, including my own work, will use empirical research to complement design science as research method. Specifically, this approach consists of 1) passively observing large systems; (2) active probing that stimulates revealing behaviour of the systems; (3) developing solutions for relevant security problems; (4) and evaluating these contributions. Its impact on a large number of users makes this area of research relevant and urgent. By following the described methodology, it will be possible to improve security in an existing ecosystem in which changes can be deployed only over a long period of time.

CV: Edgar R. Weippl is Research Director of SBA Research and associate professor (Privatdozent) at the Vienna University of Technology and teaches at several universities of applied sciences (Fachhochschulen). His research focuses on applied concepts of IT-security; he is on the editorial board of Elsevier’s Computers & Security journal (COSE), PC chair of ESORICS 2015, general chair of ACM CCS 2016 and PC Chair of SACMAT 2017.

After graduating with a Ph.D. from the Vienna University of Technology, Edgar worked for two years in a research startup. He spent one year teaching as an assistant professor at Beloit College, WI. From 2002 to 2004, while with the software vendor ISIS Papyrus, he worked as a consultant for an HMO in New York, NY and Albany, NY, and for the financial industry in Frankfurt, Germany. In 2004 he joined the Vienna University of Technology and together with A Min Tjoa and Markus Klemen founded the research center SBA Research.

at the CSC 2018 (Cyber Security Conference 2018), co-located to SST 2018