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TU Berlin

Inhalt des Dokuments

Welcome to DIMA at TU Berlin

The DIMA Team.

Lupe
© DIMA

A lively group of academics, administrators, entrepreneurs, and researchers.

An Interview with Prof. Chen Xu.

Lupe
© DIMA

Currently, an Associate Professor at ECNU Shanghai in China. Formerly a DIMA postdoc at TU Berlin.

An Interview with Jonas Traub

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© privat

Currently, a PhD student at DIMA.

An Interview with Martin Kiefer

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© privat

Currently, a PhD student at DIMA.

Highlights

Google CEO Sundar Pichai, visits TU Berlin

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© TU Berlin/PR/Felix Noak

On the 22nd of January 2019, TU Berlin held a session on “Fostering Responsible Innovation: A Conversation with Google’s CEO.” Prof. Volker Markl interviews Sundar Pichai. more to: Google CEO Sundar Pichai, visits TU Berlin

Article by Prof. Volker Markl published in the Informatik Spektrum (2019)

Lupe
© DIMA

... Zur Erlangung von Datensouveränität benötigen Deutschland bzw. Europa eine nachhaltig (und öffentlich) betriebene Daten- und Analyseinfrastruktur. ... (Markl, V. Informatik Spektrum (2019)).

“We must democratize AI technologies.”

Professor Volker Markl proposes an independent, trustworthy, nationwide, data and analysis infrastructure.

Germany aims to become a world leader in AI – German politicians stated during the announcement of the German AI Strategy late last year. However, Dr. Volker Markl, Professor of Database Systems and Information Management at TU Berlin, Chief Scientist at the DFKI in Berlin, and co-author of the strategy believes both German companies and policymakers have a lot of catching up to do. Volker Markl is an experienced political adviser, successful mentor, co-founder of various IT start-ups, and an internationally renowned scientist – so he is clearly in a position to state what he thinks is missing in Germany.

A Workshop on Freedom and Responsibility in the IT-Sciences

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© Volker Markl

Prof. Volker Markl offered a presentation "Benefits and Potential Risks in Data Analytics Research" at the the Freedom and Responsibility in IT Sciences Leopoldina Workshop.

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DIMA Group Members Receive the EDBT 2019 Best Demonstration Award
EDBT 2019 Best Paper Award for the Paper "Efficient Window Aggregation with General Stream Slicing"
The Paper "AStream: Ad-hoc Shared Stream Processing" was Accepted for Publication at SIGMOD 2019
Joint TU Berlin & DFKI Team Awarded 1st Place in the BTW 2019 Data Science Challenge
The Paper "Time Series Similarity Search for Streaming Data in Distributed Systems" was Accepted for Publication at DARLI-AP Workshop co-located with EDBT/ICDT 2019
The Paper "AdaptiveWatermarks: A Concept Drift-based Approach for Predicting Event-Time Progress in Data Streams" was accepted for publication at EDBT 2019
11.02.2019, 14:30 s.t. TU Berlin, EN building, seminar room EN 719 (7th floor), Einsteinufer 17, 10587 Berlin: "Interactive and Exploratory Spatio-Temporal Data Analytics" (Eleni Tzirita Zacharatou, École polytechnique fédérale de Lausanne (EPFL))
04.02.2019, 16:00 c.t. TU Berlin, EN building, seminar room EN 719 (7th floor), Einsteinufer 17, 10587 Berlin: "Serialisable Snapshot Isolation on Multicore Servers" (Prof. Uwe Röhm, University of Sydney)
29.01.2019, 14:00 c.t. TU Berlin, EN building, seminar room EN 719 (7th floor), Einsteinufer 17, 10587 Berlin: "Decentralizing Identity" (Jan Sürmeli, TU Berlin)
"Eine nationale Daten- und Analyseinfrastruktur als Grundlage Digitaler Souveränität". Artikel erscheint im nächsten GI Datenbankspektrum
The Paper "Resense: Transparent Record and Replay of Sensor Data in the Internet of Things" was Accepted for Publication at Demo Track of EDBT 2019
The Paper "Scalable Frequent Sequence Mining With Flexible Subsequence Constraints" was Accepted for Publication at ICDE 2019
The Paper "Analyzing Efficient Stream Processing on Modern Hardware" was Accepted for Publication at VLDB 2019
The Paper "Computation Offloading in JVM-based Dataflow Engines," by DIMA Master Student Haralampos Gavriilidis and his Mentors was Accepted for Publication at BTW 2019
The Paper "Continuous Deployment of Machine Learning Pipelines" was Accepted for Publication at EDBT 2019

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