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Markus Borg

Senior Researcher

Email

markus.borg@ri.se

Location

Lund

Unit

Människa-autonomi (102303)

ORCID

0000-0001-7879-4371

Dr. Markus Borg is a senior researcher with the Software and Systems Engineering Laboratory at RISE Research Institutes of Sweden AB and an adjunct senior lecturer at Lund University. He is also a board member of Swedsoft. Further details on http://mrksbrg.com

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Publications

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SMILE III – Safety analysis and verification/validation of ML based systems

The SMILE program develops method(s) that allow DML-based functions to be included into safety critical vehicular applications. The SMILE III project further develops the Safety Cage concept developed within SMILE I/II, into a ref…

Verification and validation of automated systems’ safety and security

The VALU3S project aims to evaluate the state-of-the-art verification and validation (V&V) methods and tools for automated systems in automotive industry, agriculture, railway, healthcare, aerospace and industrial automation a…

SODA - Software & Data Intensive Applications

The development of trustworthy AI solutions - in most cases Machine Learning (ML) - requires appropriate engineering methods. MLOps is an emerging engineering paradigm that offers quality assurance in automated pipelines. RISE in …

The How and Why important for AI system certification

Products and services enhanced with artificial intelligence will be more stringently regulated. As a consequence of the EU’s forthcoming legislation, describing how and why the algorithms achieve a certain result will be a prerequ…

Engineering Operational AI

The development of operational AI/ML solutions (Artificial Intelligence / Machine Learning) places high demands on both tools and processes. We work with the entire flow in our expertise area, from data to deployed model in an ope…

Evaluation of software

Although safety-critical software is not affected by the environment in the same way as hardware, there is every reason to ensure its quality.

Image Analysis

Most autonomous systems rely on images to understand complex environments and make decisions. As part of the RISE digitalization, we carry out image analysis studies that utilize both traditional and AI methods to solve practical …

Publications

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