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Special Session at ESANN 2018 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning Bruges/Belgium, April 25-27 2017.

Machine Learning and Data Analysis in Astroinformatics

Organized by M. Biehl, K. Bunte (University of Groningen, The Netherlands), G. Longo (University of Naples, Italy), P. Tino (University of Birmingham, UK)

Important dates:
Submission of papers: 29 November 2017
Notification of acceptance: 31 January 2018
ESANN conference: 25 - 27 April 2018

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Mathematics and Computer Science Msc Mohammad Mohammadi just started his PhD position as ESR 12 in SUNDIAL under my supervision. He will be working on the development of techniques to relate observations with astronomical simulations.


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On Saturday April 8 I held a presentation at the Open day for prospective students who are interested in the study program in Computer Science. Remarkably the Johan Bernoulli Institute at the University of Groningen (RUG) attracted over 100 participants filling the lecture hall with pupils and their parents. After the introduction I presented my personal reasons to study Computer Science, introduced what that field has to offer, provided a glimpse into several projects performed at our institution followed by a very recent biomedical hands on example lecture tailored to the audience.

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The Best Poster Presentation Certificate of the Health track at the ICTOPEN was awarded to my PhD student Sreejita Ghosh. The Interface for Dutch ICT-Research has taken place on 21 and 22 March 2017 at the Flint in Amersfoort. Furthermore, the poster got nominated for the ICT.Open poster award for 2017 (top 10 out of approximately 130 posters presented).

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SUNDIAL (Survey Network for Deep Imaging Analysis & Learning) is an ambitious interdisciplinary network of nine research groups in the Netherlands, Germany, Finland, France, the United Kingdom, Spain, Belgium and Italy. The aim of the network is to develop novel algorithms to study the very large databases coming from current-day telescopes to better understand galaxy formation and evolution, and to prepare for the huge missions of the next decade.

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