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Martin Torstensson

Forskare

Tel
+46 10 228 40 18
Email
martin.torstensson@ri.se
Location
Lund
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Project

Anonymization Defense GUARD

Anonymization Defense GUARD ([GU]arding [A]nonymization p[R]oce[D]ures) aims to investigate and address vulnerabilities in the use of facial manipulation-based anonymization methods.
Project

Digital Decision Support for Refurbishment (2DSR)

Decision-making in the circular economy can be challenging due to reverse logistics and lack of readily available data. The 2DSR project will build a decision support system (DSS) for actors in the furniture sector. The machine le…
Project

Chemical Safety to Support Circular Economy (CHESS)

Sweden’s goal is to become climate-neutral by 2045. This requires a transformation of the whole society, and challenges must be tackled urgently. The transition from a linear to a circular economy (CE) carries such a transformatio…
Project

MIDAS - anonyMIsing DAta collection for traffic Safety

MIDAS aims to solve the problem of anonymity regarding video data collected in real traffic environments. MIDAS develops machine learning algorithms to replace sensitive information in images, so that they can be saved for future …
Expertise

Computer vision

Image analysis is a key technology for understanding and solving complex problems in various domains. At RISE, we conduct cutting-edge research in this field using artificial intelligence methods. We apply our knowledge and skills…
Expertise

Explainable AI

The ability to interpret decisions made by machine learning algorithms helps ensure important criteria such as safety, fairness, unbiasedness, privacy, and reliability by allowing humans to confirm that the algorithms adhere to re…
Expertise

Behaviour Modelling

A paradigm shift within the transport system is here. Historically the human driver has been responsible for both the car and the driving. As machines are introduced, they will take over the responsibility of interpreting the sur…