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CENTER FOR
SCALABLE DATA ANALYTICS
AND ARTIFICIAL INTELLIGENCE

 

                                                                                  

 

 


5th International Summer School on
Big Data and Machine Learning


From August 17th to 23rd 2019 the two Germany based Big Data Competence Centers ScaDS Dresden/Leipzig and BBDC are organizing the fifth international summer school on Big Data and Machine Learning. We continue our previous efforts to establish this summer school series  (20162017, 2018) and broaden 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 event aims at graduate students, Ph.D. students, researchers as well as well as practitioners starting or being active in the field of Big Data and machine learning. Within the program, we offer inspiring insights into the area by selected research keynotes from international experts combined with industrial talks. Prior to the summer school, there will be a hackathon for hands-on development of an application in the machine learning area. Furthermore, there will be plenty of opportunities to exchange ideas and to discuss the topics with other participants and speakers.

 


Important Dates and Information

 

Hackathon: August 17th-18th 2019
(Hackathon Agenda)

Summer School: August 19th-23rd 2019

Locations: Technische Universität Dresden,
von-Gerber-Bau, Bergstr.53
(lecture hall 038/039)

Registration: open

(please follow the external link above)

Participation fee

  academia industry
Regular Registration 300 € 400 €
 

 


Topics and Program Highlights

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

Schedule
(the agenda might be subject to change)

Monday, August 19, 2019

13:00 - 14:00 Registration
14:00 - 14:10 Opening Remarks / Introduction
14:10 - 15:30 Data Analytics and High Performance Computing - a convergence?
Prof. Dr. Wolfgang E. Nagel (ZIH/TU Dresden and ScaDS)
(Presentation - PDF)
15:30 - 16:00 Coffee Break
16:00 - 17:30 Scalable Graph Analysis and Data Integration with Gradoop and FAMER
Kevin Gomez, Eric Peukert (Universität Leipzig)
17:30 - 18:30 Poster Session and Reception

 

Tuesday, August 20, 2019

9:00 - 10:30 Big Data and Stream Data Engineering
Prof. Dr. Tilmann Rabl (Hasso Plattner Institut, Universität Potsdam)
10:30 - 11:00 Coffee Break
11:00 - 12:30 Intel AI – Scaling Machine Learning models over HPC clusters
Vishnu Madhu (Intel)
12:30 - 14:00 Lunch Break
14:00 - 15:30 Understanding the Decisions of Deep Neural Networks
Grégoire Montavon (TU Berlin)
15:30 - 16:00 Coffee Break
16:00 - 17:30 Welcome to the Jungle - The challenge of data-driven science at high rates and high complexity
Dr. Michael Bussmann (Helmholtz-Zentrum Dresden-Rossendorf)

 

Wednesday, August 21, 2019

9:00 - 10:30 A Legal Perspective on Big Data - Copyright and Data Protection Issues
Prof. Dr. Anne Lauber-Rönsberg (Civil Law, Intellectual Property, Media and Data Protection Law, TU Dresden)
(Presentation - PDF)
11:00 - 12:30 Hopsworks: End to End ML Pipelines
Jim Dowling, CEO - Logical Clocks AB
(Presentation - PDF)
12:30 - 14:00 Lunch Break
14:00 Social Event: Archery Tournament
@Bärensteiner Str. 23-25
18:30 Conference Dinner at "Pulverturm an der Frauenkirche"

 

Thursday, August 22, 2019

9:00 - 10:30 Conversational AI - How does Iron Man’s JARVIS work?
Ricardo Usbeck, Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS
10:30 - 11:00 Coffee Break
11:00 - 12:30 Cognitive Discovery: Pushing the Frontiers of Technical R&D with AI
Dr. Costas Bekas, AI Research Coordinator IBM Research - Zurich
12:30 - 14:00 Lunch Break
14:00 - 15:30 Data Science and Analytics Pipelines with RAPIDS
Christoph Angerer (NVIDIA)
15:30 - 16:00 Coffee Break
16:00 - 17:30 RAPIDS Hands-On
Christoph Angerer (NVIDIA)

 

Friday, August 23, 2019

9:00 - 10:30 Enabling Data-Driven Discovery in Biology: Statistical Learning of Interpretable Mathematical Models from Microscopy Videos
Suryanarayana Maddu (Center for Systems Biology Dresden (CSBD), TU Dresden)
10:30 - 11:00 Coffee Break
11:00 - 12:30 Neural Architecture Search with Reinforcement Learning
Prof. Dr. Morris Riedel (Julich Supercomputing Centre)
12:30 - 13:00 Certificate Handout and Closing

 

 

Organizing Team

  • 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, Universität Leipzig)
  • Dr. Eric Peukert (ScaDS Dresden/Leipzig, Universität Leipzig)
  • Dr. Tilmann Rabl (BBDC, Technische Universität Berlin)