Up-coming events 2021
SAIS Workshop 2021
Welcome to the 33rd SAIS Workshop: SAIS 2021. This edition of the annual workshop of the Swedish Artificial Intelligence Society (SAIS) will be held as a hybrid conference on June 14 – 16, 2021. This means there will be room for both physical and online participation. Please, mark 14 & 15 as the main conference dates but also reserve the 16 for a possible additional event.
We invite researchers and practitioners in the field of AI, in Sweden and the rest of the world, as well as related research disciplines and industry to join us. The SAIS workshop has since its first edition been a forum for building the Swedish AI research community and nurture networks across academia and industry. The tentative physical venue (with social distancing) will be A109 (LTU, Luelå campus) while the online channels will be Zoom and Slack. Their relevant links will be shared in due course. The talks will be held live with opportunities for interaction and questions to the speakers.
January 12, lunch seminar 12:00-13:00
Cybersecurity standards and their industry applications – A telecom industry example
The mobile networks are playing a central role in our society by serving close to 8 billion subscriptions worldwide. These networks are parts of national critical infrastructure in many countries. Security is an important aspect for these networks where a minor interruption may result in major impacts on individuals, governments, and organizations.
Security standards are one of the existing approaches to protect mobile networks and their users through commonly agreed, tested, verified, and updated solutions according to best common practices.
National Institute of Standards and Technology’s (NIST) Cyber Security Framework and the ISO 27001 Information Security Standard are two of existing standards having industry-leading approaches to security.
In this seminar, we will go through these two standards and provide a high-level comparison between them, an overview of how they can be used by vendors, and an example application to mobile networks.
Speaker: Shanai Ardi, Ericsson and PhD student at Linköping University
Link to join in MS Teams
no registration needed
Invitation to join IEEE Standards Study Group related to machine learning computing
Dear IEEE CS Chapter Member,
The IEEE Microprocessor Standards Committee MSC just formed a new study group (IEEE Standards Study Group on Additional Floating-Point Formats to Support Machine Learning). It is inviting the stakeholders from industry and academia to join and participate in this study group. See bit.ly/ieee_ml_fp on information about this newly formed group and the instructions on how to join this study group.
The IEEE Microprocessor Standards Committee (MSC) is chartered by the IEEE Computer Society Standards Activities Board to create, maintain, and encourage the use of IEEE standards for the engineering of computer systems involving microprocessor and floating-point architectures, buses, interconnects, sensors, microprocessor operating system interfaces, real-time operating systems, programming and object languages, data interchange, cryptographic hardware, and computer environmental specifications.
C Chapter Board
Professor Kristian Sandahl, Department of Computer and Information Science, Linköping University,
email: kristian.sandahl (at) liu.se
Phone no. +46-13-28 19 57
Short bio: Dr. Kristian Sandahl is professor in Software Engineering at Linköping University since 2001, where he is the manager of the Programming Environment Laboratory (PELAB). He is a true enthusiast for the exchange of knowledge between practice and academia, and during his career he worked both for a small spin-off company as well as for Ericsson AB.
Professor Simone Fischer-Hübner, Department of Computer Science, University of Karlstad
email: Simone.Fischer-Huebner (at) kau.se
Phone no. +46-54-700 17 23
Greger Wikstrand, CGI, Malmö
Associate Professor Jonas Mellin. Högskolan i Skövde
email: jonas.mellin (at) his.se
Phone no. +46-500-44 83 21
Short bio: Jonas Mellin received his Ph.D. in computer science at University of Linköping in 2004. In particular, he has worked in pattern detection and analysis in distributed (active) real-time databases and has now moved on into information fusion as well as simulation of large-scale complex environments.