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We invite Data Science experts to present and discuss topics relevant to the scope of Datalab. The seminar usually takes place every two weeks, on Wednesdays from 12:00-13:00 at the Winterthur Campus of ZHAW.

Future Events

Date Time&Place Speaker Title Abstract
Wed, 29.01. 12:00-13:00, TH 343 Professor Kerrie Mengersen (Queensland University of Technology QUT) Bayesian Statistics in the Big Data Era Bayesian statistics is now an essential tool in Data Science. skillset. However, while the Bayesian paradigm and the associated computational methods provide distinct advantages and opportunities, they also retain some challenges. These include the formulation of priors, interpretation of probabilistic outputs, Bayesian hypothesis testing, adoption and integration of new sources of data, and dimension reduction for big data. In this presentation, I will discuss some of these benefits and drawbacks in the context of substantive health, environmental and social projects that our research group at QUT has been undertaking. These include, among others, the construction of the Australian Cancer Atlas and the Virtual Reef Diver platforms. I will also touch on our research centres in data science at QUT in order to motivate further discussion about common interests and potential collaborations between our two universities.

Past Events (2019)

Date Speaker Title Slides
Wed, 18.12. Prof. Dr. Luca Maria Gambardella (Director of IDSIA, USI-SUPSI, Lugano) Innovation through Artificial Intelligence PDF
Fri, 15.11. PD Dr. Friedhelm Schwenker (University of Ulm) Artificial deep neural networks for multimodal emotion recognition PDF
Thu, 10.10. Lucas Kook (University of Zurich) Transformation models - an introduction
Thu, 03.10. Prof. Dr. Oliver Dürr (HTWG Konstanz) Go with the Flow
Thu, 12.09. Dr. Siavash Arjomand Bigdeli (CSEM) Deep Density Approximation for Bayesian Image Restoration
Fri, 09.08. Prof. Haiwang Cao (Zhengzhou University of Aeronautics, China) AI application in safety support for civil airports
Mon, 15.07. Prof. Dr. Mark Sanderson (RMIT University, Melbourne) Conferences vs. journals in computer science
Tue, 21.05. Prof. Dr. Beate Sick (ZHAW) Uncertainties in Neural Networks
Mon, 20.05. Dr. Vasileios Trigonakis (Oracle Labs Switzerland) Introduction to Graph Processing (with PGX)
Wed, 23.01. Prof. Dr. Bernd Freisleben (University of Marburg, D) Deep Learning for Visual Computing