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Informatik Kolloquium: Aktuelle Themen der Informatik

Gemeinsam mit der Fakultät für Elektrotechnik und Informatik und der Regionalgruppe Hannover der Gesellschaft für Informatik organisiert das L3S im Sommersemester 2018 ein Kolloquium zu aktuellen Themen der Informatik. Alle Vorträge finden in der Appelstrasse 9a im 15. Stock statt.

Dr. Esfandiar Mohammadi

Anonymity Trilemma: Anonymity, Low Latency, and Low Bandwidth Overhead - Choose Two

Dr. Esfandiar Mohammadi, ETH Zürich

Anonymous communication networks (ACNs) constitute a basic building block for privacy-preserving protocols in the Internet by protecting connection meta-data, such as the IP address of the sender or the receiver of a message. Many ACNs proposed in the literature incur a high communication cost, either with a high bandwidth overhead or with a high latency compared to communication without the ACN. This talk considers a strong notion of anonymity where ACNs have to provide anonymity under unlimited usage of the ACN against strong network-level observers. Our main result is that there are two cost dimensions for ACNs for which there exist a joint cost constraint: latency (leading to a latency overhead) and a dummy message rate (leading to a bandwidth overhead). The cost constraint states that for ACNs that aim to achieve strong anonymity the latency overhead can only be low if the dummy message rate is high and, vice versa, the dummy message rate can only be low if the latency overhead is high.

21 März 2018, 14:00
Multimedia Room, 15th Floor, L3S

Prof. Dr. Klaus-Robert Müller (Photo:  FhG FIRST)

Machine Learning and AI for the Sciences - Towards Understanding

Prof. Dr. Klaus-Robert Müller, Technische Universität Berlin

In recent years, machine learning (ML) and artificial intelligence (AI) methods have begun to play a more and more enabling role in the sciences and in industry. In particular, the advent of large and/or complex data corpora has given rise to new technological challenges and possibilities. In his talk, Müller will touch upon the topic of ML applications in the sciences, in particular in neuroscience, medicine and physics. He will also discuss possibilities for extracting information from machine learning models to further our understanding by explaining nonlinear ML models. E.g. Machine Learning Models for Quantum Chemistry can, by applying interpretable ML, contribute to furthering chemical understanding. Finally, Müller will briefly outline perspectives and limitations.

4 Mai 2018, 14:00
Multimedia Room, 15th Floor, L3S

Prof. Dr.-Ing. habil. Wolfgang Schröder-Preikschat

Predictability Issues in Operating Systems

Wolfgang Schröder-Preikschat, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)

Predictability is always subject to the underlying assumptions being made. For real-time systems, time response of processes in relation to the strictness of deadlines is of particular importance. With an additional focus on embedded systems, space and energy requirements become relevant as well and need to be considered in combination. As far as software is concerned, structure and organisation of the programs to be executed determines whether or not predictable processes will take place in a given computing system. Design for predictability is an overarching aspect that crosscuts the whole computing system and particularly addresses operating systems.

This talk is about structuring principles of non-sequential programs - in the shape of but not limited to operating systems - to abet predetermination of quality attributes of non-sequential (real-time) processes, it is not about analytical methods to effectively predetermine these attributes. Issues in operating systems as to space, timing, and energy requirement are touched. Emphasis thereby is on coordination of cooperation and competition between processes, namely synchronisation. It is shown how measures of process synchronisation against the background of many-core processors cater to these issues.

29 Juni 2018, 15:00
Multimedia Room, 15th Floor, L3S

Prof. Dr. Hermann de Meer

ELECTRIFIC - Towards Grid-Friendly EV Charging

Prof. Dr. Hermann de Meer, University of Passau

Electric mobility leads to an increasing challenge for power gird operators, particularly due to its irregular and unknown load profile. Power grid enhancements are considered either as cost-intensive or as environmentally unfriendly and, hence, more intelligent ICT-based solutions are needed for economic and ecological reasons. Therefore, our intention is to develop a practical approach of grid-friendly smart Electric Vehicle (EV) charging methods. The approach entails methods, namely: (i) Proactive EV charging control via prediction of available charging capacity and a corresponding intelligent scheduling of charging processes; Availability of renewable energy sources as well as (EV) load volatility control can be incorporated. (ii) Reactive, decentralized charging process control as a response to critical grid situations. Proactive forecasting of available power capacity and energy from (distributed) renewable sources can lead to a better utilization of the power grid in place and extend the usage of renewable energy, which is required for a successful transition in energy policies. A reactive control of ongoing charging processes guarantee that the power grid infrastructure can run at its limits, while increasing the power quality in the grid. This dual concept exploits the flexible potential of the power supply network and at the same time optimizes the ongoing charging processes to meet the requirements of the grid.

6 Juli 2018, 15:00
Multimedia Room, 15th Floor, L3S