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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, 01.02. 11:00-12:00, TN E0.58 and MS Teams Prof. Dr. Jan Dirk Wegner (UZH) Large-scale analysis of geospatial data with machine learning Worldwide analyses and estimates of vegetation parameters such as biomass or vegetation height are essential for modelling climate change and biodiversity. Traditional allometric approaches usually have to be adapted for specific ecosystems and regions. It is therefore very difficult to carry out homogeneous, global modelling with high spatial and temporal resolution and, at the same time, good accuracy. Data-driven approaches, especially modern deep learning methods, promise great potential here. In this talk, new research results on the large-scale determination of vegetation parameters will be presented.

Past Events (2022)

Date Speaker Title Slides
Wed, 23.11. Prof. Dr. Benjamin Grewe (ETHZ/UZH) Why auto-encoding is not enough
Wed, 13.7. Prof. Dr. Markus Melloh
(Victoria U of Wellington)
Work or study in New Zealand – Opportunities for ZHAW Data Scientists at Victoria University of Wellington PDF
Wed, 6.7. Dr. Simon Bruderer
(Bruker BioSpin)
Deep learning for processing of nuclear magnetic resonance (NMR) data
Wed, 1.6. Several 2nd International INODE EOSC Workshop
Wed, 2.3. Sebastian Welter (IKEA) Scaling AI in Enterprises PDF
Wed, 16.2. Prof. Dr. Volker Dellwo (UZH) Can speakers make themselves more recognisable?: Voice dynamics and its influence on voice recognition PDF
Wed 02.02. Helmut Grabner (ZHAW) All Images are Equal but Some Images are More Equal than Others webcamaze.engineering.zhaw.ch

Past Events (2021)

Date Speaker Title Slides
Wed, 17.11. Prof. Dr. Christoph von der Malsburg How can kids learn so much faster than transformers? Recording PDF
Wed, 8.9. Prof. Nicolaj Stache (HS Heilbronn) From Simulation to Reality using Reinforcement Learning PDF
Wed, 25.8. Prof. Macro Gori (U Siena) Learning to See by Motion Invariance PDF
Wed, 23.6. Lukas Tuggener (ZHAW CAI) Is it Enough to Optimize CNN Architectures on ImageNet? PDF

Past Events (2020)

Date Speaker Title Slides
Wed 02.12. Pia Viviani
Citizen Science: What is it exactly and what are the challenges? PDF
Wed 21.10. Daniel Neururer
On the Importance of time dependent features for Speaker Recognition PDF
Wed 09.09. Raphael Weber, Mehmet Yesil, Prof. Dr. Ruedi Füchslin and Prof. Dr. Kurt Stockinger
Quantum Databases and Quantum Machine Learning – How Far Can We Go on a Publicly Available Quantum Computer? PDF
Wed 08.04. Dr. Ricardo Chavarriaga
Presentation of the CLAIRE Office Switzerland PDF
Wed, 11.03. Nicolas Schmid
Data-Driven Adaptive Controller Parameterisation: A Bayesian Optimization Approach PDF
Thu, 05.03. Prof. Philipp Hungerländer
(Univ. Klagenfurt)
Propagation of vibroacoustic quality specifications in the automotive industry PDF
Wed, 26.02. Ursin Brunner and Prof. Kurt Stockinger
Entity Matching with Transformer Architectures - A Step Forward in Data Integration Prezi
Wed, 29.01. Prof. Kerrie Mengersen
(Queensland University of Technology QUT)
Bayesian Statistics in the Big Data Era  

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, 12.09. Dr. Siavash Arjomand Bigdeli
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  
Mon, 20.05. Dr. Vasileios Trigonakis
(Oracle Labs Switzerland)
Introduction to Graph Processing (with PGX)