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SaS Seminars

Software and Systems Research Seminar Series


The SaS Seminars are a permanent series of open seminars of the Division of Software and Systems (SaS) at the Department of Computer and Information Science (IDA), Linköping University. The objective of the seminars is to present outstanding research and ideas/problems relevant for SaS present and future activities. In particular, seminars cover the SaS research areas software engineering, programming models and environments, software and system modeling and simulation, system software, embedded SW/HW systems, computer systems engineering, parallel and distributed computing, realtime systems, system dependability, and software and system verification and testing.

Two kinds of seminars are planned:

  • talks by invited speakers not affiliated with SaS,

  • seminars by SaS researchers presenting lab research to whole SaS (and other interested colleagues).

The speakers are expected to give a broad perspective of the presented research, adressing the audience with a general computer science background but possibly with no specific knowledge in the domain of the presented research. The normal length of a presentation is 60 minutes, including discussion.

The SaS seminars are coordinated by Christoph Kessler.



SaS seminars 2026

Visualization Perspectives in Explainable and Trustworthy Machine Learning

Prof. Andreas Kerren, ITN/MIT, Linköping University

Tuesday, 13 Jan 2026, 10:15, room Alan Turing, IDA

Abstract:
I will start the talk with a very brief overview of research performed at both the Division of Media and Information Technology (MIT@ITN, Norrköping Campus) and the Information Visualization Unit (iVis@MIT). The main part of this presentation will be about interactive data visualization research with a focus on the development and use of visualization techniques for explainable and trustworthy machine learning. As supervised and unsupervised machine learning are both considered as complex and their internal operations are mostly hidden in black boxes, it becomes difficult for model developers but also for analysts to assess and trust their results. Moreover, choosing appropriate machine learning algorithms or setting hyperparameters are further challenges where the human in the loop is necessary. I will exemplify solutions of some of these challenges with the help of a selection of visualization showcases. Our visual analytics examples range from the visual exploration of the most performant and most diverse models for the creation of stacking ensembles, the use of multiple embeddings for data analysis and visualization, to ideas of making the black boxes of complex dimensionality reduction techniques more transparent in order to increase the trust into their results. Moreover, I will highlight the most recent analytical results of our state-of-the-art reports on visualization for enhancing trust into machine learning and the use of embeddings in visual analytics. All together I hope that this talk can serve as a starting point for further discussions.

Short Bio:
Prof. Dr. Andreas Kerren received his PhD degree in Computer Science from Saarland University, Saarbrücken, Germany. In 2008, he achieved his habilitation (docent competence) from Växjö University, Sweden. Dr. Kerren is currently a Full Professor of Information Visualization, Linköping University (LiU) and Linnaeus University (LNU), Sweden. He holds the Chair of Information Visualization at LiU and is head of the research group Information and Software Visualization at LNU. In addition, he is an ELLIIT professor supported by the Excellence Center at Linköping-Lund in Information Technology and key researcher of the Linnaeus University Centre for Data Intensive Sciences and Applications. His main research interests include several areas of information visualization and visual analytics, especially visual network analytics, text visualization, and the use of visual analytics for explainable AI. He has been editorial board member of a number of journals such as Information Visualization or Computer Graphics Forum, has served as organizer/program chair at numerous conferences such as IEEE VISSOFT 2013/2018 or GD 2018/2025, and has edited a number of successful books on human-centered visualization. Dr. Kerren has published more than 200 peer-reviewed papers, journal articles, and book chapters.



Previous SaS Seminars

For previous SaS seminars in 2001 - 2025 see below.

Page responsible: Christoph Kessler
Last updated: 2025-12-12