Datalab-Seminar
Introduction
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 |
Speaker | Title | Slides |
|---|---|---|---|
|
Do, 19.9. |
Fabian Kostadinov (acrea) | Building a production-grade RAG-based chatbot |
Past Events (2023)
|
Date |
Speaker | Title | Slides |
|---|---|---|---|
|
Wed, 27.6. |
Dr. Chetan S. Kulkarni (NASA) | Model Based Approaches for Fault Detection, Prognostics, Decision Making in Complex Systems | |
|
Wed, 07.06. |
Prof. Dr. Kurt Stockinger (ZHAW) | Quantum Machine Learning – The Next Big Thing? | |
|
Wed, 24.05. |
Dr. Cristiano Malossi (IBM Research) | The Future of Visual Inspection for Civil Infrastructure | |
|
Wed, 10.05. |
Prof. Dr. Jan Dirk Wegner (UZH) | Large-scale analysis of geospatial data with machine learning | |
|
Wed, 26.04. |
Marcel Griesinger (ZHAW SML) | Das neue Datenschutzrecht und seine Umsetzung in der Praxis, u.a. im Bereich KI | |
|
Wed, 12.04. |
Prof. Dr. Carolina Ruiz (Worcester Polytechnic Institute, USA) | Predictive Deep Learning and Interpretation of Learned Representations for Human Sleep Modeling | |
|
Tue, 11.04. |
Dr Lilach Goren Huber (ZHAW IDP) | Fault diagnostics in grid-scale solar plants: A playground for Physics-Informed machine learning | |
|
Wed, 01.03. |
Prof. Dr. Thomas Martinetz (Univ. Luebeck, D) | Large deep neural networks do learn with small data sets |
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(PDF 10,6 MB) |
|
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(PDF 867,2 KB) |
|
Wed, 16.2. |
Prof. Dr. Volker Dellwo (UZH) | Can speakers make themselves more recognisable?: Voice dynamics and its influence on voice recognition | PDF(PDF 13,5 MB) |
|
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(PDF 2,0 MB) |
|
Wed, 8.9. |
Prof. Nicolaj Stache (HS Heilbronn) | From Simulation to Reality using Reinforcement Learning | |
|
Wed, 25.8. |
Prof. Macro Gori (U Siena) | Learning to See by Motion Invariance | |
|
Wed, 23.6. |
Lukas Tuggener (ZHAW CAI) | Is it Enough to Optimize CNN Architectures on ImageNet? |
Past Events (2020)
|
Date |
Speaker | Title | Slides |
|---|---|---|---|
|
Wed 02.12. |
Pia Viviani (catta.ch) |
Citizen Science: What is it exactly and what are the challenges? | PDF(PDF 3,4 MB) |
|
Wed 21.10. |
Daniel Neururer (ZHAW) |
On the Importance of time dependent features for Speaker Recognition | PDF(PDF 10,1 MB) |
|
Wed 09.09. |
Raphael Weber, Mehmet Yesil, Prof. Dr. Ruedi Füchslin and Prof. Dr. Kurt Stockinger (ZHAW) |
Quantum Databases and Quantum Machine Learning – How Far Can We Go on a Publicly Available Quantum Computer? | PDF(PDF 11,9 MB) |
|
Wed 08.04. |
Dr. Ricardo Chavarriaga (ZHAW InIT) |
Presentation of the CLAIRE Office Switzerland | PDF(PDF 8,9 MB) |
|
Wed, 11.03. |
Nicolas Schmid (ZHAW IAMP) |
Data-Driven Adaptive Controller Parameterisation: A Bayesian Optimization Approach | PDF(PDF 4,5 MB) |
|
Thu, 05.03. |
Prof. Philipp Hungerländer (Univ. Klagenfurt) |
Propagation of vibroacoustic quality specifications in the automotive industry | PDF(PDF 3,1 MB) |
|
Wed, 26.02. |
Ursin Brunner and Prof. Kurt Stockinger (ZHAW InIT) |
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(PDF 4,3 MB) |
|
Fri, 15.11. |
PD Dr. Friedhelm Schwenker (University of Ulm) |
Artificial deep neural networks for multimodal emotion recognition | PDF(PDF 17,3 MB) |
|
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 | |
|
Mon, 20.05. |
Dr. Vasileios Trigonakis (Oracle Labs Switzerland) |
Introduction to Graph Processing (with PGX) |