Jupyter meetup #04

Your invite to November’s Jupyter Amsterdam!

Again we have two amazing topics! Here’s what the meetup will cover in three:

#1
An introduction by your moderator Amir Sciammas

#2
Maksym Lushpenko, DevOps Engineer at HAL24K: JupyterHub on Azure Kubernetes Service

Topic:
JupyterHub allows groups of data scientists to work together on a shared computing environment by providing each user with a web-based development environment called JupyterLab. Azure Kubernetes Service can provide such a shared environment and allow for efficient and scalable use of computing resources in a secure manner. In this talk, we will share our lessons of trying to provide a seamless experience for data scientists by running JupyterHub on AKS.

Bio:
Maksym Lushpenko graduated at Tilburg University in Information Management in 2015. Before HAL24K, he worked as a Web Developer, Infrastructure Consultant and DevOps engineer in Ukraine and Netherlands. Currently, he is focusing on building a stable and scalable infrastructure for HAL24K Dimension platform based on Kubernetes and other open-source tools.

#3
Dr. Ing. Bas Boom, Computer Vision Expert at CycloMedia Technology: The Netherlands in Colorized Point Clouds

Topic:
CycloMedia brings the added benefit of the opportunity to capture LiDAR data simultaneously while capturing our GeoCyclorama™ imagery. By this coincident capture method, we ensure the highest levels of both quality and accuracy. We further enhance the LiDAR data by processing it with our proprietary CycloPositioner software to increase its positional accuracy and perfect alignment in 3D space with our imagery. Given precise imagery co-referencing, we are able to extract the RGB values to produce a photo realistic “colorized point cloud”. Customers opting for LiDAR data collection will be able to use CycloMedia’s new Measure Smart ™ tool which takes advantage of a “depth” GeoCyclorama layer produced from the point cloud, and affords users a new measurement tool to achieve significant efficiencies in workflow. One example is the installation and planning of the solar panels on roofs and the second example is the creation of smart pointclouds allowing us to create inventory of the vegetation and other objects in a municipality.

Bio:
Bas Boom graduated at the Free University of Amsterdam in Computer Science in 2005. He received his PhD at the University of Twente (2010) in Electrical Engineering, where his thesis was entitled “Face recognition's grand challenge: uncontrolled conditions under control”. From 2011 until 2015 he worked as postdoc at University of Edinburgh on the “Fish4Knowledge” project. His main research is machine learning and computer vision on large scale image and video datasets using supercomputing facilities. He is author and co-author of over 30 scientific publications in journals and international conferences and organized 2 special issues and 2 scientific workshops. Currently within Cyclomedia, he is the cluster lead of the data analytics team which focusses on computer vision and machine learning on cyclomedia data. This team creates algorithms for automatic blurring of license plates and faces, for object recognition like traffic signs, trees, light poles, etc.

Agenda

• 17:15 Doors open
• 17:30 Food arrives 🍕🍻
• 18:15 Introduction
• 18:30 HAL24K speaker
• 19.15 Cyclomedia speaker
• 20:00 Talk & drinks