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2015-08-17 Best Scientific Cybersecurity Paper Award Winner
Congratulations to TS's Prof Carroll Morgan and co-authors, who have won the Annual NSA Best Scientific Cybersecurity Paper Award for their paper Additive and Multiplicative Notions of Leakage and Their Capacities published at last year's IEEE Computer Security Foundations Symposium.
Seminar 2015-08-17: Jan Auer; Enhancing Static Analysis with Runtime Verification
Static program analysis and runtime verification are two complementary, yet supplemental approaches to ensuring correct program execution. Theformer is well established and integrated in many development environments, as well as several enterprise-grade standalone tools. Runtime verification, on the other hand, facilitates targeted monitoring of production systems without the risk of false positives or false negatives. In this presentation we preset "Static Runtime Verification", a formalbridge between static analysis and runtime verification that leverages synergy effects between both approaches. Analysis comprises three stages: Identification of error candidates using static analysis, event instrumentation at these locations, and final runtime monitoring. Moreover, we introduce our prototype platform StaticRV and a number of use cases
Seminar 2015-07-06: Prof. Cesare Pautasso; Let's have a RESTful Conversation
The REST architectural style has made a strong impact on the way Web services are designed, built and also composed. In this talk we take a close look at the way clients interact with them and introduce the notion of RESTful conversation. We show that there many examples of recurring conversation types that can be found on the Web (from small indirect lookups based on hypermedia relationships, to the navigation within the elements of collection resources or the confirmation/cancellation of reserved resources within RESTful atomic distributed transactions). Capturing them helps to raise the abstraction level when modeling RESTful APIs and also provides a novel perspective to study the relationship between business processes and Web resources, or what we call RESTful Business Process Management.
Seminar 2015-06-30; Prof. Ryszard Kowalczyk on Enabling Smart Infrastructure with Intelligent Agent Technologies

Smart infrastructure encompasses networked infrastructure that uses ubiquitous sensor, information and communication technologies to better utilise or sustain resources. Examples of smart infrastructure include electricity grids that improve grid reliability and better utilise energy; transport systems that optimise traffic flows; water networks that improve productivity in agriculture; and cloud computing that improves productivity and utilisation of ICT resources. Emerging uses of smart infrastructure have the potential to reduce costs, enhance safety and reduce our environmental footprint. In order to realize the full potential of smart infrastructure, new technology solutions are required to support smart data use, distributed coordination and decentralised optimisation across the infrastructure. In particular the talk will focus on enabling smart energy grids and smart cloud systems with intelligent agent technologies. It will include examples of on-going research on market-based demand-response control and agent-based management of self-sufficient micro-grids. Cloud computing examples will focus on smart cloud broker involving smart cloud bench, purchaser and marketplace

Seminar 2015-06-10; Stratos Idreos; Curious and self-designing systems: towards easy to use data systems tailored for exploration
How far away are we from a future where a data management system sits in the critical path of everything we do? Already today we need to go through a data system in order to do several basic tasks, e.g., to pay at the grocery store, to book a flight, to find out where our friends are and even to get coffee. Businesses and sciences are increasingly recognizing the value of storing and analyzing vast amounts of data. Other than the expected path towards an exploding number of data-driven businesses and scientific scenarios in the next few years, in this talk we also envision a future where data becomes readily available and its power can be harnessed by everyone. What both scenarios have in common is a need for new kinds of data systems which are tailored for data exploration, which are easy to use, and which can quickly absorb and adjust to new data and access patterns on-the-fly. We will discuss this vision and some of our recent efforts towards self-designing systems as well as "curious" systems tailored for automated exploration.
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