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Speaker: Prof. Dr. Denis Trcek
Host: Burkhard Stiller
Pervasive computing solutions are slowly becoming a reality in our everyday lives and consequently raise many interesting research issues. Among those issues security and trust are at the forefront. Therefore this presentation will first present issues about lightweight security solutions by focusing on weak computing devices that are likely to dominate in pervasive computing environments (like RFIDs and sensors). Next, it will introduce trust management solutions and discuss possibilities for their deployment in such environments through lessons learnt with lightweight security solutions.
Prof. Dr. Denis Trcek is with Faculty of Computer and Information Sciences, University of Ljubljana, Slovenia where he heads Laboratory of e-media. He has been involved in the field of IT security, privacy and trust for over twenty years. He has taken part in various EU and national projects in government, banking and insurance sectors. His bibliography includes over one hundred titles, including monograph published by renowned publisher Springer. D. Trcek has served (or still serves) as a member of various international bodies and boards such as NATO ICS panel or MB of the European Network and Information Security Agency ENISA.
Speaker: Prof. Dr. Aaron Quigley
Host: Elaine Huang
Our bodies shape our experience of the world, and our bodies influence what we design. How important are the physical differences between people? Can we model the physiological differences and use the models to adapt and personalize designs, user interfaces and artefacts? Can we model, measure and predict the cost of users altering their gaze in single or multi-display environments? If so, can we personalize interfaces using this knowledge. What about when moving and while the distance between user and screen is varying. Can this be considered a new modality and used to personalize the interfaces along with physiological differences and our current gaze. In this talk we seek to answer some of these questions. We introduce an Individual Observer Model of human eyesight, which we use to simulate 3600 biologically valid human eyes. We also report on controlled lab and outdoor experiments with real users. This is to measure both gaze and distance from the screen in an attempt to quantify the cost of attention switching along with the use of distance as a modality. In each case, for distance, gaze or expected eyesight we would like to develop models which can allow us to make predictions about how easy or hard it is to see visual information and visual designs, along with altering the designs to suit individual users based on their current context.
Prof. Dr. Aaron Quigley is the Chair of Human Computer Interaction in the School of Computer Science at the University of St Andrews in Scotland. His research interests include surface and multi-display computing, human computer interaction, pervasive and ubiquitous computing and information visualization. He directs SACHI, the St Andrews Computer Human Interaction research group and from Aug '12 is the Scottish Informatics and Computer Science Alliance (SICSA) Deputy Director for Knowledge Exchange. He has published over 120 internationally peer-reviewed publications including edited volumes, journal papers, book chapters, conference and workshop papers and holds 3 patents. He was previously the director of the Human Interface Technology Laboratory Australia (HIT Lab AU) and has held academic and industry appointments in Australia, Japan, USA, Germany, Ireland and the UK. He is currently the Editor-In-Chief for the Journal Computers and an external member of the IDEAS Research Institute Executive Committee in Robert Gordon University, Aberdeen where he holds a visiting Professorship. He has graduated 2 PhDs, 2 MSc, 9 Minor MSc students and over 17 honors students. His research and supervision has been funded by the SFC, SFI, NDRC, IRCSET, NICTA, Smart Internet CRC, IBM, Microsoft and the EU (FP7 and FP6). He is a Chartered Fellow of the British Computer Society (BCS), a senior member of the IEEE, a member of the ACM and a recipient of a National Institute of Engineers Australia award for excellence in engineering education. He is the general co-chair for UIST 2013 and ITS 2013 (in St Andrews in Oct 2013), has held chairing roles in twenty international conferences and has served on over eighty international conference and workshop program committees.
Speaker: Prof. Dr. Walter Brenner
Host: Gerd Schwabe
Design Thinking ist eine Innovationsmethode, die am „Department of Engineering“ der Stanford Universität vor vielen Jahren entstanden ist, ständig weiterentwickelt wurde und heute starke Beachtung findet. Diese Methode wird nicht nur in den Ingenieurswissenschaften und Designdisziplinen eingesetzt, sondern hat auch in die Wirtschaftswissenschaften Einzug gehalten.
Viele Produkte und Dienstleistungen, die wir im täglichen Leben nutzen, sind mit Design Thinking entstanden. Entwickelt wurden beispielsweise eine Zahnbürste mit ergonomischem Griff, neue Dienstleistungen für Banken oder die berühmte erste Computermaus von Apple.
Design Thinking basiert auf der eigentlichen trivialen Erkenntnis, dass Innovationen menschen-zentriert sind. Die konsequente Anwendung dieses Leitsatzes ist die Grundlage für viele bahnbrechende Innovationen, die schnell zur Selbstverständlichkeit werden. Design Thinking dient als Vorstufe zur Produkt und Dienstleistungsentwicklung. Die Methode basiert auf drei Prinzipien: Endkundenorientierung, Ideengenerierung und dem Bau konkreter Prototypen. Im Zentrum steht ein Kreislauf, der mehrfach durchlaufen wird: Er beginnt mit der Suche nach Bedürfnissen der Endkunden (Needfinding). Anschliessend folgt die Entwicklung neuer Ideen (zum Beispiel durch das Brainstorming). Danach werden Ideen durch den Bau von Prototypen anfassbar gemacht. Der letzte Schritt des Kreislaufs ist das Testen von Prototypen zusammen mit den Endkunden.
Der Vortrag gibt im ersten Teil einen Einblick in Design Thinking und die grundlegenden Prinzipien. Der zweite Teil zeigt, wie Design Thinking in Unternehmen zum Einsatz kommt, wie Design Thinking an der Universität St. Gallen in der Lehre eingesetzt wird und welche Forschungsarbeiten durchgeführt werden. Der dritte Teil ist der Diskussion mit den Zuhörerinnen und Zuhörern gewidmet.
Prof. Dr. Walter Brenner studierte ab 1978 Betriebswirtschaftslehre und schloss im Jahr 1985 die Promotion an der Hochschule St. Gallen ab. Im Anschluss wirkte er bis 1989 bei der Lonza AG in Basel, zuletzt als Leiter der Anwendungsentwicklung. Von 1990 – 2001 lehrte er an den Universitäten Freiberg und Essen. Seit 2001 ist er Professor am Institut für Wirtschaftsinformatik der Universität St. Gallen und geschäftsführender Direktor. Schwerpunkt seiner Tätigkeiten war von Anfang an die IT-Branche. Als Berater beriet er zahlreiche Unternehmen zu den Themen IT-Strategie und Organisation. Neben seinen Lehr- und Beratertätigkeiten engagiert er sich in zahlreichen Organisationen und Vereinigungen. Er ist Mitglied in einer Reihe von Beiräten, Aufsichtsräten und Verwaltungsräten. Prof. Dr. Brenner ist Autor zahlreicher IT Management-Bücher sowie von über 100 Artikeln.
Speaker: Prof. Dr. Marko Turpeinen
Host: Lorenz Hilty
Sustainability decisions, both in organizations and for individuals are many times not based on solid facts and numbers. Even when quantitative goals are set, real-time feedback mechanisms do not exist for guiding and evaluating the results. At KTH Center for Sustainable Communications, our hypothesis is that ICT can allow making environmental variables visible and significantly improve our capacity to make sustainable decisions. Our aim is to explore the application of current technologies such as linked and open data, APIs, real-time data flows, and the creation of novel tools and services needed for an ICT-based, data-driven, sustainability approach.
Prof. Dr. Marko Turpeinen is the Director of the European Institute of Innovation and Technology (EIT) ICT Labs Helsinki. He is a Visiting Professor in Media Technology at The Royal Institute of Technology (KTH). He is also the Principal Scientist at Helsinki Institute for Information Technology (HIIT). He has a Doctor of Technology Degree in Computer Science from Helsinki University of Technology (TKK) and a Master of Science Degree in Media Arts and Sciences from Massachusetts Institute of Technology (MIT). He has also extensive industrial experience from the media industry, as between 1996 and 2005 he worked in various executive positions at Alma Media Corporation, a Finnish media company.
Speaker: Prof. Dr. Daning Hu
Host: Universität Zürich
In the current business environment, individuals, organizations, and systems have been increasingly interacting and collaborating in the form of networks through computer-based techniques and technologies. This trend has generated a huge amount of network (relational) data in various business domains such as Finance and Marketing. How to effectively collect, model, analyze, and utilize such network data through computing technologies to support business decision making becomes a major challenge for nowadays business intelligence (BI) practices in large organizations. My research focuses on developing network-based modeling and analytical techniques, algorithms, and information systems, in order to support various business intelligence applications such as financial risk management, expert recommendation, and knowledge management.
Daning Hu is an Assistant Professor at the Department of Informatics of the University of Zurich and head of the Business Intelligence Research Group. His research lies at the intersaction of network science and business intelligence. The application domains of his research include financial risk management, social media analytics, and open source innovation. His goal is to derive analytical and empirical insights from the analyses of various real-world networks such as organization networks, communication networks, and social networks. Based on such insights, He aims to develop network-based business intelligence techniques and information systems for supporting decision making in various application domains. Daning received his Ph.D. in Management Information Systems at the University of Arizona where he worked with Prof. J. Leon Zhao. Daning got his B.S. degree in Computer Science at Zhejiang University in 2004.
Speaker: Prof. Dr. Jörg Tiedemann
Host: Martin Volk
Statistical Machine Translation (SMT) is the dominant approach to automatic translation in current research and system development. The success of statistical methods is based on the availability of large bodies of parallel and monolingual texts. However, for many language pairs appropriate resources do not exist or are not accessible. Furthermore, current SMT models are very sensitive to domain shifts, but domain-specific data is usually sparse or difficult to obtain even for "high-density" languages. In this talk I will present ideas from two projects that address this problem by providing tools and data to the research community.One of them, OPUS, is, to our knowledge, the largest free collection of aligned parallel data on the web, also supporting many "low-density" languages. In the other project, LetsMT!, we develop a collaborative platform for sharing data and building customized SMT engines on-line. I will briefly present the main concepts of this platform. In the second part of my talk I will look at specific problems for selected language pairs and discuss possibilities for training machine translation systems with extremely sparse data sets. In particular, I will look at triangulation and pivot-based translation as a way to overcome the shortage of data. The main idea in this approach is to make use of intermediate languages to support poorly resourced languages. I will focus on closely related languages as pivot and emphasize the use of low-level translation techniques that take advantage of structural and lexical similarities between those languages.
Prof. Dr. Jörg Tiedemann is currently employed as a visiting professor of computational linguistics at the Department of Linguistics and Philology at Uppsala University, Sweden. He got his Ph.D. from the same department in 2003. His work is mainly focused on machine translation, question answering and data mining from multilingual resources. He has initiated and still maintains a freely available collection of parallel corpora (OPUS) which is widely used and appreciated.
Speaker: Prof. Dr. Thomas Fritz
Host: Universität Zürich
We are living in the Information Age, an age that provides us with easy access to vast amounts of information. You can use Wikipedia to find information on the Inca civilization that lived more than 700 years ago or you can go on facebook and check the current status of your friends, almost in real time. This is particularly true for software developers that have large amounts of project related information available and receive notifications such as their teammates' changes through feeds and tweets. This availability and easy accessibility of information provides a lot of opportunities. However, increases in the amount of information generated, in forms such as emails, tweets or incoming web feeds, also makes finding and staying on top of the relevant information a difficult endeavor. In this talk, I will present ideas on how to support developers in coping with the information overload by tailoring the information to the developer and his needs.
Thomas Fritz is an assistant professor in the Department of Informatics at University of Zurich. He received his PhD degree from the University of British Columbia, Canada, in 2011 and his Diplom from the Ludwig-Maximilians-University Munich, Germany, in 2005. He has experience working with several companies and research labs including the IBM labs in Ottawa and Zurich and the OBASCO group at the École des Mines de Nantes in France. His research focuses on how to help stakeholders in the software development process better manage the information and systems on which they work. Current approaches are centered around artifacts used in the software development process, rather than on the humans who perform the work, making it difficult and sometimes infeasible for the stakeholders to satisfy their information needs. Thomas Fritz’s research considers how we can build human-centric models to enhance existing approaches and tackle a stakeholder’s information needs, as well as evaluating their influence on software quality and developer performance.
Speaker: Prof. Dr. Noshir Contractor
Host: Avi Bernstein
Recent technological advances provide comprehensive digital traces of social actions, interactions, and transactions. These data provide an unprecedented exploratorium to model the socio-technical motivations for creating, maintaining, dissolving, and reconstituting into teams – for research, business, or social causes. Using examples from research in virtual organizations and massively multiplayer online games, Contractor will argue that Network Science serves as the foundation for the development of social network theories and methods to help advance our ability to understand the emergence of effective teams. More importantly, he will argue that these insights will also enable effective teams by building a new generation of recommender systems that leverage our research insights on the socio-technical motivations for creating ties.
Prof. Noshir Contractor is the Jane S. & William J. White Professor of Behavioral Sciences in the McCormick School of Engineering & Applied Science, the School of Communication and the Kellogg School of Management at Northwestern University, U.S.A. He is the Director of the Science of Networks in Communities (SONIC) Research Group at Northwestern University. He is investigating factors that lead to the formation, maintenance, and dissolution of dynamically linked social and knowledge networks in a wide variety of contexts including communities of practice in business, translational science and engineering communities, public health networks and virtual worlds. His research program has been funded continuously for over 15 years by major grants from the U.S. National Science Foundation with additional current funding from the U.S. National Institutes of Health (NIH), Army Research Institute, Army Research Laboratory, Air Force Research Laboratory, and the Gates Foundation.
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