Florian Auer , University of Innsbruck
Technology-Independent Online Controlled Experimentation
Katalin Fazekas , JKU Linz
On SAT-based Solution Methods for Computational Problems
Marco Franceschetti , University of Klagenfurt
Temporal Variables for Business Process Modeling
Amir Goharshady , IST Austria
Parameterized and Algebro-geometric Advances in Static Program Analysis
Barbara Göbl , University of Vienna
A Participatory, Mixed-Methods Approach to Support Game and Interaction Design for Serious Games
Erich Kobler , TU Graz
On Learning Regularizers for Inverse Problems in Imaging
Daniel Kocher , University of Salzburg
Scalable Similarity Queries over Complex Data
Ilko Kovačić , JKU Linz
OLAP Patterns: A Pattern-Based Approach to Multidimensional Data Analysis
Bernhard Kragl , IST Austria
Verifying Concurrent Programs: Refinement, Synchronization, Sequentialization
Katharina Krösl , TU Wien
Simulating Vision Impairments in Virtual and Augmented Reality
Andreas Leibetseder , University of Klagenfurt
Extracting and Using Medical Expert Knowledge to Advance Video Analysis for Gynecologic Endoscopy
Jan Maly , TU Wien
Ranking Sets of Objects - How to Deal with Impossibility Results
Petra Mazdin , University of Klagenfurt
Communication-Aware Multi-Robot Coordination for Simultaneous Coverage
Martin Perdacher , University of Vienna
Space-Filling Curves for Improved Cache-Locality in Shared Memory Environments
Bernhard Prommegger , University of Salzburg
Finger Vein Biometrics - An Analysis from Different Perspectives
Thomas Rausch , TU Wien
A Distributed Compute Fabric for Edge Intelligence
Philipp Wintersberger , JKU Linz
Automated Driving: Towards Trustworthy and Safe Human-Machine Cooperation
Panelists: Martin Bauer (BMBWF), Ruth Breu (Univ. Innsbruck), Katharina Brugger (RECC), Ira Diethelm (Univ. Oldenburg), Gerald Futschek (TU Wien), Sabine Herlitschka (Infineon), Wolfgang Pucher (IV Kärnten)
Moderation: Andreas Bollin (Univ. Klagenfurt)
Deep fakes became popular in the past years, also thanks to the increasing realism enabled by technological advances. Therefore, we need to reassess human's ability to distinguish between real and synthetic media content. We report the design and results of a perceptual experiment, where a diverse group of subjects has been exposed to synthetic face images produced by state-of-the-art Generative Adversarial Networks (namely, PG-GAN, StyleGAN, StyleGAN2). The results indicate that humans perceive synthetic images generated with the latest technology more real than real images, and feel more confident about their judgement.
Rainer Böhme , University of Innsbruck
Rainer Böhme received his M.A. degree in communication science, economics, and computer science and his Ph.D. degree in computer science from the Technische Universität Dresden, Germany, in 2003 and 2008, respectively. He is a professor of security and privacy in the Department of Computer Science, University of Innsbruck, Austria, where he teaches computer engineering, networking, and information security. He was previously an assistant professor of information systems at the University of Münster, Germany. His research interests include multimedia security, digital forensics, privacy-enhancing technologies, and the economics of information security and privacy. He is an associate editor of IEEE Transactions on Information Forensics and Security.
Humans and drones may form teams with extraordinary capabilities to collaboratively solve tasks in 3D. Supporting systems need to integrate autonomous drone behavior and human- drone interactions. In this talk, our approach and experimental results will be discussed along the two indoor use cases bookshelf scanning and safety distancing. By design, our research takes a distributed system approach and focuses on natural human-drone interaction. We employ off-the-shelf micro drones equipped with on-board cameras and Wi- Fi connectivity. Our experiments indicate that a distributed architecture is feasible, yet vision-based detection results in considerable interaction delays. Finally, an outlook to our most recent work is given that focuses on training a drone with human emotion as feedback.
Karin Anna Hummel , JKU Linz
Karin Anna Hummel is an Associate Professor of Computer Science at JKU Linz, where she works on mobile networked systems and application fields such as networked drones and the IoT. Previously, she was a Marie Curie Fellow at ETH Zurich and a post-doc researcher at University of Vienna. Karin Anna Hummel holds a habilitation from JKU Linz (2017) and a doctoral degree from Vienna University of Technology (2005). She has been part of the organizing committee of numerous workshops and conferences and is the co-chair of the national OCG working group NET-IT. Overall, about 90 publications document her research activities.
Humans in the Digital Age have been a focus in Science and Technology studies, Internet Research, the Sociology of Technology, Digital Anthropology and many other sub- and interdisciplines of the Social Sciences and Humanities for a long time. Simultaneously, Computer Science has for some time now turned to Social Computing, and HCI is celebrating at least its 40th anniversary. With many choices for interdisciplinary configurations available, the reception of concepts and ideas from other fields, however, is still difficult and fraught with misconceptions. How can we find common ground to build sociotechnical futures that we want to live in? The talk looks at interdisciplinary collaboration between computer scientists and scholars from the social sciences and humanities as something that is often difficult, inherently problematic, yet rewarding and worth pursuing.
Katharina Kinder-Kurlanda , University of Klagenfurt
Katharina Kinder-Kurlanda is Professor of Humanities of Digitization at the Digital Age Research Center (D!ARC) at Klagenfurt University. She studied cultural anthropology, computer science and history in Tübingen and Frankfurt in Germany and received her PhD from Lancaster University in the UK in 2009. Before coming to Klagenfurt, she was a team leader at the GESIS – Leibniz Institute for the Social Sciences. She works between disciplines, with the aim of building bridges, especially between the social sciences and computer science. Her research interests are new epistemologies for Big Data, algorithms in everyday life and work, data practices, data ethics and social casual games.
We are constantly bombarded with news about newly discovered IT security vulnerabilities. At the same time we can witness moves from various Governments to tighten laws concerning the use of encryption because deployed systems are seemingly too secure for government agencies. This begs the question about the actual security of systems that are in widespread use. In this keynote I want to review the challenges around engineering secure systems from the perspective of an applied cryptographer. I will touch on various real world attack vectors, reflect on the controversy around strong encryption, and the need for improving and preserving privacy in a world where we increasingly live our lives online.
Elisabeth Oswald , University of Klagenfurt
Elisabeth Oswald works as an academic researcher in the area of applied crypto, in particular leakage-based attacks. Her particular interest is in the intersection of statistics, machine/deep learning and side channels, where she develops tools and techniques to make sophisticated leakage analysis techniques accessible to non-crypto specialists. She has been an active member in the crypto community for many years: she has chaired the biggest events (CHES, Eurocrypt) and is associate editor of the Journal of Cryptology and the Journal of Cryptographic Engineering. Elisabeth previously held a UK EPSRC Leadership Fellowship and is now an ERC CoG grant holder. She currently works as a professor at AAU in Klagenfurt (Austria) where she is leading the Cybersecurity research.
As semantic resources (ontologies, Knowledge Graphs) enable a suit of modern intelligent systems, their quality and correctness has a direct effect on the functioning of these systems. While automatic verification techniques can identify and resolve a range of quality issues, our recent systematic literature study revealed that several quality aspects can be best assessed through human involvement. Additionally, while such human-centric evaluation practices are spread across several domains and research areas, there is also a lack of methodology on how to perform them correctly. Against this backdrop, the talk will explore possible solutions based on the emerging field of Human Computation and outline avenues for future research.
Marta Sabou , TU Wien
Dr. Marta Sabou is an FWF Elise-Richter Fellow at the Vienna University of Technology, where she leads the Semantic Systems Research Lab which performs foundational and applied research in the area of information systems enabled by semantic (web) technologies. Prior to this she held positions as Research Fellow at the Open University, UK, Assistant Professor MODUL University Vienna and Key Expert in Semantic Technologies at Siemens. Her work is situated at the confluence of Semantic Web and Human Computation research areas. She is an accomplished academic (over 100 peer-reviewed papers) and takes an active role in the Semantic Web research community.
During embryonic development, a single genome directs the process of cell differentiation that leads to a multitude of cell lineages. This is precisely determined by distinct gene expression programs, which are, in turn, controlled by non-protein coding sequences scattered throughout the genome. Understanding how such sequences establish correct spatiotemporal gene expression patterns is essential to uncover the genetic basis of human disease. My group integrates sequence analysis and next-generation sequencing data with statistics and machine learning approaches to shed light into the evolution, architecture, and function of the non-protein coding portion of the human genome.
Leila Taher , TU Graz
Dr. Leila Taher earned her Ph.D. in natural sciences at Bielefeld University (Germany) in 2006. She then moved back to her home country, Argentina, as a postdoctoral fellow of CONICET, the main national science and technology agency, and later to the USA, as a postdoctoral fellow at the National Institutes of Health. She returned to Germany in 2012 to lead her own research group at Rostock University Medical Center. Since 2019 Dr Taher is a Professor of Bioinformatics at Graz University of Technology. Prior to moving to Graz, she was an assistant professor at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany).
Artificial intelligent agents will in the near future likely support us in many areas of our daily lives, e.g., health, care, and education. In this talk I will consider the problem of enabling effective interaction of intelligent agents when there is a mismatch between them, e.g., the agents might have different perceptions, capabilities, or preferences. Such mismatch naturally occurs for instance when humans interact with machines. I will discuss challenges that arise because of such mismatch and argue that efficient cooperation of agents is only possible if they account for their differences, requiring them to actively learn about each other if those differences are not known a-priori. Further, I will review some of our research results on this topic with a focus on inverse reinforcement learning.
Sebastian Tschiatschek , University of Vienna
Sebastian Tschiatschek is currently an assistant professor of machine learning at the University of Vienna, Austria. Prior to that he spent a little more than two years at Microsoft Research in Cambridge, UK, where he was a senior researcher in the Machine Learning and Perception Group. He obtained his PhD from Graz University of Technology, Austria, in 2014 and was a postdoctoral scholar at ETH Zurich from 2015 to 2017. His research interests include active learning, exploration and imitation in reinforcement learning, and probabilistic models.
Biometric recognition is a key concept for human authentication. Among other traits, vascular biometrics of the human hand and the human eye are promising due to their intrinsic privacy protection and potential for contactless acquisition. We give an overview about the state-of-the art and some current research topics covered in Salzburg.
Andreas Uhl , University of Salzburg
Andreas Uhl is a professor for computer science at the Fachbereich Computerwissenschaften at the University of Salzburg. His research interests are in visual computing, in particular at the border between security issues and signal processing, focussing at biometrics, media security and forensics, and mediacl image analysis.