People

We at the Deep Learning Research Group at RISE are a team of researchers who work on foundational problems within machine learning, and apply our expertise on problems related to climate change and ecology.

Olof Mogren, PhD

Defended his PhD in computer science at Chalmers University of Technology in 2018 with the thesis Representation Learning for Natural Language. Senior researcher, head of the DL group, and responsible for deep learning research at RISE Research Institutes of Sweden.

Olof develops and investigates machine learning based solutions to problems related to the environment and climate change. This includes stream flow forecasting, soundscape analysis for biodiversity monitoring, and AI for circular business models.

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Aleksis Pirinen, PhD

Defended his PhD in computer vision at Lund University in 2021 with the thesis Reinforcement Learning for Active Visual Perception. Senior researcher at RISE Research Institutes of Sweden.

Aleksis’ main research interest is to develop machine learning methods for a broad range of environmental applications (e.g. climate adaptation and humanitarian aid causes).

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Maria Bånkestad, MSc

Defended her MSc in enigneering physics from Royal Institute of Technology in 2012. Researcher and PhD candidate at RISE Research Institutes of Sweden. Also afiliated with Uppsala University.

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John Martinsson, MSc

Defended his MSc in computer science at Chalmers University of Technology in 2017. Researcher and PhD candidate at RISE Research Institutes of Sweden. Also afiliated with Lund University.

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Edvin Listo Zec, MSc

Defended his MSc in engineering mathematics at Chalmers University of Technology in 2017. Researcher and PhD candidate at RISE Research Institutes of Sweden. Also afiliated with Royal Institute of Technology.

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Martin Willbo, MSc

Defended his MSc in computer science at Chalmers University of Technology in 2021. Researcher at RISE Research Institutes of Sweden.

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David Vikstrand

David is currently an intern at DL group.


Previous members of the lab

  • Ebba Ekblom, MSc

Master’s Students

The following master’s students are currently writing their master’s thesis in the DL group.

  • Emma Amnemyr and Daniel Björklund: Active Learning and Annotation Efficiency for Object Detection in Coffee Farming (Lund University)
  • Oscar Marklund and Richard Lindholm: Active Learning for Sound Analysis (Lund University)
  • Agnes Ericsson and Malte Åhman: Privileged Information for Earth Observation (Lund University)
  • Tom Hagander and Eric Ihre-Thomason: Distributed Machine Learning (Lund University)

Previous Master’s Students

The following master’s students have written their master’s thesis in the DL group.