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TU Berlin

Inhalt des Dokuments

Welcome to DIMA at TU Berlin

The DIMA Team. [1]

[2]
Lupe [3]
© DIMA

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

An Interview with Prof. Chen Xu. [4]

[5]
Lupe [6]
© DIMA

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

An Interview with Jonas Traub [7]

[8]
Lupe [9]
© privat

Currently, a PhD student at DIMA.

An Interview with Martin Kiefer [10]

[11]
Lupe [12]
© privat

Currently, a PhD student at DIMA.

An Interview with Prof. Dr. Tilmann Rabl [13]

[14]
Lupe [15]
© privat

An Interview with Prof. Dr. Tilmann Rabl, Professor for Data Engineering Systems, University of Potsdam,

Hasso Plattner Institute

An Interview with Rudi Poepsel Lemaitre [16]

[17]
Lupe [18]
© Privat

Highlights

Google CEO Sundar Pichai, visits TU Berlin [19]

Bild
© 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 [20]

Joint TU Berlin & DFKI team awarded 1st place in the BTW 2019 Data Science Challenge [21]

 

 

Article by Prof. Volker Markl published in the Informatik Spektrum (2019) [22]

Lupe [23]
© 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.” [24]

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 [25]

Lupe [26]
© 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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all for Participation - 5th International Summer School on Big Data and Machine Learning
Philipp Grulich and Jonas Traub present the Scotty Window Processor at Code.Talks 2019 in Hamburg
The Poster: "Extended Kalman Filter for Large Scale Vessels Trajectory Tracking in Distributed Stream Processing Systems" was accepted at AALT Workshop co-located with ECML/PKDD 2019
The Paper "An Intermediate Representation for Optimizing Machine Learning Pipelines" was Accepted for Publication at VLDB 2019
The Poster "Generating Reproducible Out-of-Order Data Streams​" was Accepted at the DEBS '19 Conference
The Paper "Performance Analysis and Automatic Tuning of Hash Aggregation on GPUs" was Accepted at the DaMoN Workshop, Co-Located with the SIGMOD '19
The Paper "Learning to Validate the Predictions of Black Box Machine Learning Models on Unseen Data" was Accepted for Publication at the HILDA Workshop, Co-Located with the SIGMOD '19
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
Workshop on Distributed and Stream Data Processing and Machine Learning
Joint TU Berlin & DFKI Team Awarded 1st Place in the BTW 2019 Data Science Challenge
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))
The Paper "AdaptiveWatermarks: A Concept Drift-based Approach for Predicting Event-Time Progress in Data Streams" was accepted for publication at EDBT 2019
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
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)
Interdisciplinary Data Science Research in Berlin – fully-funded PhD fellowships
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)
DFG awarded DIMA funding for an interdisciplinary research project on large-scale data analysis for integrating renewable energy and electric vehicles
"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 "Continuous Deployment of Machine Learning Pipelines" was Accepted for Publication at EDBT 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 "A Comparison of Distributed Stream Processing Systems for Time Series Analysis,” by DIMA Bachelor Student Melissa Gehring and her Mentor was Accepted for Publication at BTW 2019.
"Representations and Optimizations for Embedded Parallel Dataflow Languages" paper accepted for publication in ACM TODS
"Efficient Window Aggregation with General Stream Slicing" Paper Accepted on EDBT 2019
"On-the-fly Reconfiguration of Query Plans for Stateful Stream Processing Engines", Paper Accepted for Publication at BTW 2019.
DIMA Research featured in "The Morning Paper"
27.11.2018, 16 Uhr c.t. Smart Data Forum (Salzufer 6, Eingang Otto-Dibelius-Strasse, 10587 Berlin): "Open Data Integration" (Prof. Renée J. Miller, Northeastern University)
17.12.2018, 16 Uhr c.t. TU Berlin, EN building, seminar room EN 719 (7th floor), Einsteinufer 17, 10587 Berlin: "The Case for Network-Accelerated Query Processing" (Dr. Alberto Lerner, eXascale Infolab at the University of Fribourg, Switzerland)
"Master Topics Orientation", Nov 9th from 12:30, in BiB 014
Congratulations to Patrick Lehmann, the 7th Recipient of a TU Berlin Data Analytics Master's Track Certificate
"Sharing hash codes for multiple purposes" has been published in Japanese Journal of Statistics and Data Science
15.10.2018, 16 Uhr c.t. TU Berlin, EN building, seminar room EN 719 (7th floor), Einsteinufer 17, 10587 Berlin: "Some Philosophical Considerations Regarding “AI”" (Birgit Beck, TU Berlin, FG Ethik und Technikphilosophie)
"Fault-Tolerance for Distributed Iterative Dataflows in Action" Paper is published in PVLDB
"Muses: Distributed Data Migration System for Polystores" paper accepted at ICDE 2019
"Multi-Dimensional Genomic Data Management for Region-Preserving Operations" paper accepted at ICDE 2019
Congratulations to Jan Dikow, the latest (6th) recipient of a TU Berlin Data Analytics Master's Track Certificate
2. Big Data All Hands Meeting in Berlin, 10. September 2018
Research Talk: Can new online publishing systems have a positive impact on our publication culture?
Upcoming Presentation on "Big Data, Technological Disruption and the 800 Pound Gorilla in the Corner," by Turing Award Winner Michael Stonebraker, 21-Sep-2018 at 17:30
"ScootR: Scaling R Dataframes on Dataflow Systems" Paper Accepted at SoCC 2018
"Benchmarking Distributed Data Processing Systems for Machine Learning Workloads" paper accepted at TPCTC @ VLDB 2018
Jonas Traub and Philipp Grulich will present "Efficient Window Aggregation with Stream Slicing" at FlinkForward 2018 in Berlin
"Generating Custom Code for Efficient Query Execution on Heterogeneous Processors" paper accepted at VLDB 2018
Software Campus Grant for two PHD students in TUB, DIMA group
"PolyBench: The First Benchmark for Polystores" Paper Accepted @TPCTC Collocated with VLDB 2018
18.06.2018, 16 Uhr c.t. TU Berlin, EN building, seminar room EN 719 (7th floor), Einsteinufer 17, 10587 Berlin: "Graph of keypoints for remote sensing image analysis" (Dr. Minh-Tan Pham, IRISA laboratory, France)
20.08.2018, 16 Uhr c.t. TU Berlin, EN building, seminar room EN 719 (7th floor), Einsteinufer 17, 10587 Berlin: "Bringing Order to Data" (Prof. Jarek Szlichta, University of Ontario Institute of Technolgy, Canada)
Industry Talk Today, 6th of June at 18.15 in MA-043 on "Industry 4.0 - Opportunities, Challenges and Applications at BASF"
The 4th and 5th Recipients of the TU Berlin Data Analytics Master's Track Certificate
Sebastian Breß earns SIGMOD 2018 Distinguished PC Member Award
04.06.2018, 10:30 s.t. TU Berlin, EN building, seminar room EN 719 (7th floor), Einsteinufer 17, 10587 Berlin: "Fearless Metaprogramming with Squid" (Lionel Parreaux, EPFL (Switzerland))
Talk: “An Intro to Deep Learning with Apache MxNet Gluon," Dr. Steffen Rochel, AWS, May 7th @ 17:00 in MA-043
"Fault-Tolerance for Distributed Iterative Dataflows in Action" Accepted for Publication in PVLDB and for Demonstration at VLDB 2018
[04.05.2018, 11:00, TU Berlin E-N 719] Discovering Malicious Domains through Passive DNS Data Graph Analysis (Dr. Issa Khalil, Qatar Computing Research Institute)
Berlin Big Data Center (BBDC) signs three-year MoU with the Qatar Computing Research Institute (QCRI)
3rd Recipient of the TU Berlin Data Analytics Master's Track Certificate
11.04.2018, 15:30s.t. TU Berlin, EN building, seminar room EN 719 (7th floor), Einsteinufer 17, 10587 Berlin: "End-to-End Entity Resolution for Structured and Semi-Structured Data" (Prof. Themis Palpanas, Senior Member of the French University Institute (
“Scotty: Efficient Window Aggregation for out-of-order Stream Processing” Paper Accepted for Publishing at ICDE 2018
“Efficient SIMD Vectorization for Hashing in OpenCL” paper accepted at EDBT 2018
06.02.2018, 17 Uhr s.t. Smart Data Forum (Salzufer 6, Eingang Otto-Dibelius-Strasse, 10587 Berlin): "C-chain: the simple, scalable, transparent blockchain" (Prof. Rudolf Bayer, Ph.D., TU München)
Paper “Scalable Detection of Concept Drifts on Data Streams with Parallel Adaptive Windowing” accepted for publishing at EDBT 2018
Paper "Benchmarking Distributed Stream Data Processing Systems" accepted for publication at ICDE 2018
DIMA PhD Student Awarded a 2017 Software Campus Grant / DIMA Doktorand erhält Förderung in Software Campus Projekt 2017
04.12.2017, 16 Uhr c.t. TU Berlin, EN building, seminar room EN 719 (7th floor), Einsteinufer 17, 10587 Berlin: "1. Database Design for NoSQL Systems (long research pres), 2.Modeling Strategies for Storing Data in Distributed Heterogeneous NoSQL databases
[27. 11. 2017, 18:00 - 19:30] Digitalisierung und Entrepreneurship: Was kann Berlin vom Silicon Valley lernen?
12.12.2017, 16 Uhr c.t. TU Berlin, EN building, seminar room EN 719 (7th floor), Einsteinufer 17, 10587 Berlin: "Vega-Lite: A Grammar of Interactive Graphics" (Dominik Moritz, University of Washington)
Ideenwettbewerb: Neue Datenräume kreativ nutzen
[17. 11. 2017] Paper Accepted at SIGMOD 2018
Paper Accepted at ML Systems Workshop @ NIPS 2017
27.11.2017, 16 Uhr c.t. TU Berlin, EN building, seminar room EN 719 (7th floor), Einsteinufer 17, 10587 Berlin: "Deconstructing Blockchains: Concepts, Applications, and Systems" (Dr. Kaiwen Zhang, TU München)
[17.10.2017] 2nd Recipient of the TU Berlin Data Analytics Master's Track Certificate
Andreas Kunft presented "Efficiently Executing R Dataframes on Flink" at Flink Forward 2017
[08.09.2017] 1st Recipient of the TU Berlin Data Analytics Master's Track Certificate
Paper "BlockJoin: Efficient Matrix Partitioning Through Joins" accepted for publication in PVLDB Volume 10
Big Data Summer School 2017 - August, 21st to 25th 2017 in Munich
26.04.2017, 16 Uhr c.t. DFKI Projektbüro Berlin, Room: Weizenbaum, Alt-Moabit 91c, 10559 Berlin: "Distributed frequent sequence mining with declarative subsequence constraints" (Alexander Renz-Wieland, Universität Mannheim)
"Digital Future Science Match" am 12. Mai 2017
Demo-Paper "QuoteMine: A Repository of Newsworthy Quotes" accepted at GSCL 2013

To view past postings, click here [27]

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Database Systems and Information Management
DIMA
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sec. E-N 7
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e-mail query [28]
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