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Summer School 2019

From August 19-23, 2019, the two Big Data Competence Centers in Germany, ScaDS Dresden/Leipzig and BBDC, organized the 5th International Summer School on Big Data and Machine Learning. With this event, we continued our previous efforts to establish this summer school series. Furthermore, we broadened the topic spectrum covering state-of-the-art techniques in Big Data processing and analytics as well as novel methods in Machine Learning and Artificial Intelligence. 

The Summer School 2019 took place at Technical University (TU) in Dresden.

Dr. Costas Bekas, AI Research Coordinator at IBM Research, giving a presentation about pushing the frontiers of technical research and development with AI at the 5th International Summer School in Dresden


Program & Highlights 

The Summer School 2019 bridged the gap between the research fields Big Data and Machine Learning, with many contributions from internationally renowned experts from various fields. The top-flight program included key notes from IBM, NVIDIA, Intel, and speakers from academia of both competence centers BBDC and ScaDS Dresden/Leipzig as well as invited speakers. 

The lectures span a wide range of topics around large scale and data intensive computing (Big Data) and exciting new trends in Machine Learning, such as uncertainty quantification, distributed Machine Learning and architectural optimization for Deep Learning. The event was attended by nearly sixty participants, who could not just connect with the experts, but also submit a poster on their own research activity. The poster sessions, which lasted throughout the week, stimulated discussions between the participants. As social activity, an archery tournament brought fun and a contrast into the program and sparked some friendly competition among the participants.

Prior to the Summer School, there was a hackathon for hands-on development of an application in the Machine Learning area. 

The topics of the summer school cover a broad range of up-to-date topics:

  • Big Data and HPC
  • Machine learning techniques
  • Scalable graph analytics
  • Data processing and streaming
  • Machine learning and data analytics for applications
  • Large scale visual analytics
  • Web-scale information extraction

Below you find the full program with additional information on the speakers and their topics:


Monday 19.08.19

TimePersonTopic
14:10 – 15:30Prof. Dr. Wolfgang E. Nagel (ZIH/TU Dresden and ScaDS)Data Analytics and High Performance Computing – a convergence?
15:30 – 16:00COFFEE BREAKCOFFEE BREAK
16:00 – 17:30Eric Peukert, Christopher RostScalable Graph Analysis and Data Integration with Gradoop and FAMER
17:30 – 18:30Poster Session and Reception


Tuesday 20.08.19

TimePersonTopic
09:00 – 10:30Prof. Tilmann Rabl (Hasso Plattner Institut, Universität Potsdam)Big Data and Stream Data Engineering
10:30 – 11:00COFFEE BREAKCOFFEE BREAK
11:00 – 12:30Vishnu Madhu (Intel)Intel AI – Scaling Machine Learning models over HPC clusters
12:30 – 14:00LUNCHLUNCH
14:00 – 15:30Grégoire Montavon (TU Berlin)Understanding the Decisions of Deep Neural Networks
15:30 – 16:00COFFEE BREAKCOFFEE BREAK
16:00 – 17:30Dr. Michael Bussmann (HZDR)Welcome to the Jungle – The challenge of data-driven science at high rates and high complexity


Wednesday 21.08.19

TimePersonTopic
09:00 – 10:30Prof. Anne Lauber-Rönsberg (Civil Law, Intellectual Property,
Media and Data Protection Law, TU Dresden)
A Legal Perspective on Big Data – Copyright and Data Protection Issues
10:30 – 11:00COFFEE BREAKCOFFEE BREAK
11:00 – 12:30Jim Dowling (CEO, Logical Clocks AB)Hopsworks: End to End ML Pipelines
12:30 – 14:00LUNCHLUNCH
14:00Social Event: Archery Tournament @Bärensteiner Str. 23-25
18:30Conference Dinner at “Pulverturm an der Frauenkirche”


Thursday 22.08.19

TimePersonTopic
09:00 – 10:30Ricardo Usbeck (Fraunhofer Institute for Intelligent Analysis
and Information Systems IAIS)
Conversational AI – How does Iron Man’s JARVIS work?
10:30 – 11:00COFFEE BREAKCOFFEE BREAK
11:00 – 12:30Dr. Costas Bekas (AI Research Coordinator IBM Research – Zurich)Cognitive Discovery: Pushing the Frontiers of Technical R&D with AI
12:30 – 14:00LUNCHLUNCH
14:00 – 15:30Christoph Angerer (NVIDIA)Data Science and Analytics Pipelines with RAPIDS
15:30 – 16:00COFFEE BREAKCOFFEE BREAK
16:00 – 17:30Christoph Angerer (NVIDIA)RAPIDS Hands-On


Friday 23.08.19

TimePersonTopic
09:00 – 10:30Suryanarayana Maddu (Center for Systems Biology Dresden (CSBD), TU Dresden)Enabling Data-Driven Discovery in Biology: Statistical Learning of Interpretable Mathematical Models from Microscopy Videos
10:30 – 11:00COFFEE BREAKCOFFEE BREAK
11:00 – 12:30Prof. Morris Riedel (Julich Supercomputing Centre)Neural Architecture Search with Reinforcement Learning
12:30 – 13:00Certificate Handout and Closing


Organizers

The Summer School as well as the Hackathon were organized by the two Competence Centers for Big Data Research in Germany, ScaDS Dresden/Leipzig and BBDC, in cooperation with the Institute for Applied Informatics (InfAI) e.V. at the Leipzig University.

Prof. Dr. Wolfgang E. Nagel
ScaDS Dresden/Leipzig, Technische Universität Dresden
Dr. René Jäkel
ScaDS Dresden/Leipzig, Technische Universität Dresden
Prof. Dr. Erhard Rahm
ScaDS Dresden/Leipzig, Leipzig University
Prof. Dr. Tilmann Rabl 
BBDC, Technische Universität Berlin
Dr. Eric Peukert 
ScaDS Dresden/Leipzig, Leipzig University

Have a look at other Summer Schools!

funded by:
Gefördert vom Bundesministerium für Bildung und Forschung.
Gefördert vom Freistaat Sachsen.