Note: The workshop registration will open end of March 2024
Workshop #1: Practical Applications and Theoretical Foundations of Point Cloud Processing
Organizer:
Christina Petschnigg, Research Associate, KI4LIFE, Fraunhofer Austria Research (Klagenfurt, Austria)
Location: EDV5 (NT2.012, 2nd floor)
Places: 15
Target Audience: University students and professionals with basic computer skills. Basic knowledge about image processing is beneficial.
The workshop focuses on the fundamentals of point cloud analysis for beginners seeking to explore the potential of 3D spatial data. Participants will acquire insights into technologies, including laser scanning and photogrammetry. Furthermore, attendees will have the opportunity to engage with real-world data sets through hands-on exercises, where we will explore the process of generating a 3D model from a point cloud. This will involve an in-depth examination of various functionalities associated with point clouds, including distance and area measurements. Additionally, we will delve into essential techniques for point cloud alignment and surface reconstruction. To enhance the immersive understanding of point clouds, the workshop will conclude with a discussion on application domains and frameworks for real-time visualization.
Workshop #2: Basics of medical image analysis
Organizer:
Sepideh Hatamikia, Head of Computational Imaging, Medical Image Analysis & Artificial Intelligence group, Danube Private University (Krems, Austria)
Location: EDV1 (NT1.01, 1st floor)
Places: 20
Target audience: This workshop is open to all interested participants with different academic levels. No pre-knowledge about image processing is needed.
A hands-on medical image analysis workshop will be organized focusing on some basic image analysis tasks as well as guiding participants to perform image navigation, manual and automatic three-dimensional segmentation using basic tools of the ITK-SNAP toolkit. In addition, participants will gain insight into image registration to address some further aspects of image analysis such as improving image alignment for accurate anatomical comparisons.
Workshop #3: Gamifying Data Science through Implementing Interactive Fiction in Twine
Organizers:
Marie Biedermann, Game Studies Master Student, University of Klagenfurt
Rachel Gorden, Game Studies Graduate, University of Klagenfurt
Kseniia Harshina, University Assistant, University of Klagenfurt
Location: EDV3 (NT1.03, 1st floor)
Places: 20
Target audience: This workshop is open to all interested participants. No pre-knowledge is needed.
In this practice-oriented workshop, we will introduce participants to the online interactive fiction tool Twine and help them create their first small game projects with it. We will show how this tool can be used to teach concepts of data science in a gamified way and convey data in a fun way. Next to explaining the main features of Twine, we will talk about how data science is used in games and introduce the concept of gamification as a tool for education and knowledge dissemination. At the end of the workshop, participants will be able to independently create small game projects with the Twine tool. There is no prior knowledge required to participate in the workshop.
Workshop #4: Is GenAI female?
Organizer:
Simone Scholz, Analytics & AI Enthusiast, MINTchanger:in, A1 Telekom Austria (Vienna, Austria)
Location: HS 3 (ground floor)
Places: 10 – 20
Target audience: This workshop is open everyone. Male participants are also very welcome, because together we are strong!
Abstract: Studies show that Generative AI will replace commercial jobs. These professions are predominantly occupied by women and are therefore at risk of losing (part of) their jobs. Furthermore, women use Generative AI much less frequently than men and therefore put themselves at an additional disadvantage in their day-to-day work. In this interactive workshop we will discuss challenges and dream up potential for “female GenAI”. We (as multipliers) can use our findings to positively influence the future working world for women. So let’s do female empowerment for and with GenAI together!