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Olof Mogren

Senior Researcher

Tel
+46 73 023 56 09
Email
olof.mogren@ri.se
Location
Göteborg
ORCID
0000-0002-9567-2218
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Publications
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Project

AI Support for Transforming Surfaces into Multifunctional Green Spaces

Cities face climate challenges with more impervious surfaces and fewer green spaces. Our project develops an AI- and GIS-based tool that helps cities and real estate companies transform grey areas into multifunctional green spaces…
Project

FERTIliser product recovery from secondary raw materials using BAT

FERTITEC aims to recycle fertilizer products from secondary raw materials using best available technology to promote sustainable agriculture, waste recycling and the circular economy. Building on previous EU projects, FERTITEC aim…
Project

Predicting Water Flow Intensity with Machine Learning

Climate change is affecting the hydrological conditions of the Earth, causing both draught and flooding in different regions. Sweden is facing the challenge of adapting to a warmer and wetter climate, which will lead to more extre…
Project

AI driven financial risk assessment for circular business models

When companies transition to circular business models (especially functional sales models), risk assessments of business cases and payback times, as well as new types of collateral and residual value, have been identified as impor…
Story

They want to pave the way for sober traffic with AI tools

The police officer and the psychologist left the Swedish Security Service to start a business. Now Stefanie Najafi and Jenny Johansson have begun marketing their AI solution for detecting alcohol and drug impairment. Their inventi…
Story

How energy-efficient AI can reduce climate impact

AI has great potential for sustainability, but its energy requirements cause emissions equivalent to Sweden's annual energy consumption. By developing energy-efficient AI, we can not only reduce the technology's footprint, but als…
Story

How AI can help fight climate change

Around the world, people are struggling to cope with the effects of climate change. Can AI help us tackle one of the great issues of our time? "High-tech AI is unlikely to be the whole solution. But it can improve low-tech so…
Story

Computer vision – a fast and reliable superpower

With the advancing development of technologies based on artificial intelligence, new areas of use are emerging. Computer vision is one such area. The technology can assist people in several ways, who can instead devote themselves …
Story

“I want my AI research to benefit people”

There is increasing demand for research into artificial intelligence. Olof Mogren at RISE develops machine learning and deep learning for everything from predicting blood sugar levels in Type 1 diabetics to helping fashion compani…

Nita Mulliqi: Towards clinically reliable artificial intelligence for prostate cancer pathology

At RISE Learning Machines Seminar on January 22nd, 2026, we have the pleasure to listen to Nita Mulliqi, Karolinska Institute, give her talk: Towards clinically reliable artificial intelligence for prostate cancer pathology.

Katarzyna Michalowska: Multi-Resolution Learning with Neural Operators

At RISE Learning Machines Seminar on November 20th, 2025, we have the pleasure to listen to Katarzyna Michalowska, SINTEF, give her talk: Multi-resolution learning with neural operators and long short-term memory neural networks.

Felix Köhler: From numerical simulators of PDEs to neural emulators and back

At RISE Learning Machines Seminar on November6th, 2025 we have the pleasure to listen to Felix Köhler, TU Munich, give his talk: From numerical simulators of PDEs to neural emulators and back.

Nora Gourmelon: Self-Supervised Learning for Glacier Monitoring from Space

At RISE Learning Machines Seminar on November 13th, 2025, we have the pleasure to listen to Nora Gourmelon, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), give her talk: Self-Supervised Learning for Glacier Monitoring fr…

Lena Stempfle: Interpretable machine learning for prediction with missing values at test time

At RISE Learning Machines Seminar on October 16th, 2025, we have the pleasure to listen to Lena Stempfle, Chalmers University of Technology, give her talk: Interpretable machine learning for prediction with missing values at test…

Sebastian Hafner: Earth observation and deep learning for urban applications

At RISE Learning Machines Seminar on October 9th, 2025, we have the pleasure to listen to Sebastian Hafner, RISE, give his talk: Earth observation and deep learning for urban applications. Seminariet är på engelska

Sigrid Passano Hellan: Hyperparameter tuning, Bayesian optimisation and applications related to climate change

At RISE Learning Machines Seminar on September 25th, 2025, we have the pleasure to listen to Sigrid Passano Hellan, NORCE Norwegian Research Centre, give her talk: Hyperparameter tuning, Bayesian optimisation and applications rela…

Georges Le Bellier: Generative domain adaptation and foundation models for robust Earth observation

At RISE Learning Machines Seminar on September 11th, 2025, we have the pleasure to listen to Georges Le Bellier, CNAM, give his talk: Generative domain adaptation and foundation models for robust Earth observation.

Markus Pettersson: Debiasing AI predictions for causal inference without fresh ground truth data

At RISE Learning Machines Seminar on August 28, 2025, we have the pleasure to listen to Markus Pettersson, Chalmers University of Technology, give his talk: Debiasing AI predictions for causal inference without fresh ground truth …

Lily Xu: High-stakes decisions from low-quality data: AI decision-making for conservation

At RISE Learning Machines Seminar on June 19, 2025, we have the pleasure to listen to Lily Xu, Columbia University, give her talk: High-stakes decisions from low-quality data: AI decision-making for conservation.

John Martinsson: Efficient and precise annotation of local structures in data

At RISE Learning Machines Seminar on May 22, 2025, we have the pleasure to listen to John Martinsson, RISE and Lund University, give his talk: Efficient and precise annotation of local structures in data.

Peter Dueben: The digital revolution of Earth system modelling

At RISE Learning Machines Seminar on May 15, 2025, we have the pleasure to listen to Peter Dueben, European Centre for Medium-Range Weather Forecasts, give his talk: The digital revolution of Earth system modelling.

Ghjulia Sialelli: SatML for large-scale above-ground biomass estimation

At RISE Learning Machines Seminar on May 8, 2025, we have the pleasure to listen to Ghjulia Sialelli, ETH Zurich, give her talk: SatML for large-scale above-ground biomass estimation.

Beici Liang: Protecting music copyrights with MIR and AI

At RISE Learning Machines Seminar on April 10, 2025, we have the pleasure to listen to Beici Liang, Epidemic sound, give her talk: Protecting music copyrights with MIR and AI.

Abdul Shaamala: Optimising green infrastructure for climate-resilient cities

At RISE Learning Machines Seminar on April 3rd, 2025, we have the pleasure to listen to Abdul Shaamala, Queensland University of Technology, give his talk: Optimising green infrastructure for climate-resilient cities. This seminar…

María J. Molina: Machine learning for Earth system prediction and predictability

At RISE Learning Machines Seminar on March 27, 2025, we have the pleasure to listen to María J. Molina, University of Maryland, give her talk: Machine learning for Earth system prediction and predictability. This seminar is a coll…

Oriol Nieto: GenAI for sound design

At RISE Learning Machines Seminar on March 20, 2025, we have the pleasure to listen to Oriol Nieto, Adobe, give his talk: GenAI for sound design.

Sherrie Wang: Reliable conclusions from remote sensing maps

At RISE Learning Machines Seminar on March 13, 2025, we have the pleasure to listen to Sherrie Wang, MIT, give her talk: Reliable conclusions from remote sensing maps. This seminar is a collaboration between RISE and Climate AI No…

Atakan Aral: Edge AI and IoT-Driven Water Quality Monitoring

At RISE Learning Machines Seminar on March 6, 2025, we have the pleasure to listen to Atakan Aral, University of Vienna, give his talk: Edge AI and IoT-Driven Water Quality Monitoring. This seminar is a collaboration between RISE …

Abdulhakim Abdi: Tech-informed nature conservation - are we there yet?

At RISE Learning Machines Seminar on February 20, 2025, we have the pleasure to listen to Abdulhakim Abdi, Lund University, give his talk: Tech-informed nature conservation - are we there yet?

Benjamin Cretois: Leveraging AI for Large-Scale Acoustic Biodiversity Monitoring

At RISE Learning Machines Seminar on February 6, 2025, we have the pleasure to listen to Benjamin Cretois, Norwegian Institute for Nature Research, give his talk: Leveraging AI for Large-Scale Acoustic Biodiversity Monitoring: Ins…

Amal Nammouchi: Leveraging AI for Climate Resilience in Africa

At RISE Learning Machines Seminar on January 30, 2025, we have the pleasure to listen to Amal Nammouchi, Karlstad University and AfriClimate AI, give her talk: Leveraging AI for Climate Resilience in Africa.

Newton Mwai Kinyanjui: Improving treatment personalization with structures in sequential decision making

At RISE Learning Machines Seminar on January 23, 2025 we have the pleasure to listen to Newton Mwai Kinyanjui, Chalmers University of Technology, give his talk: Improving treatment personalization with structures in sequential dec…

Oscar Täckström: From Enterprise Search to Intelligent Agents

At RISE Learning Machines Seminar on January 16, 2025, we have the pleasure to listen to Oscar Täckström, Sana Labs, give his talk: From Enterprise Search to Intelligent Agents.

Alireza Taheri Dehkordi: Estimation of water quality parameters using remote sensing data and machine learning mo…

Alp Kucukelbir: Artificial Intelligence for Climate Change Mitigation

At RISE Learning Machines Seminar on November 21, 2024, we have the pleasure to listen toAlp Kucukelbir, Columbia University, give his talk: Artificial intelligence for climate change mitigation.

Ankit Kariryaa: Deep Learning for digital twins of individual trees

At RISE Learning Machines Seminar on October 24, 2024 we have the pleasure to listen to Ankit Kariryaa, University of Copenhagen, give his talk: Deep Learning for digital twins of individual trees.

Joel Oskarsson: Frontiers in machine learning for weather forecasting

At RISE Learning Machines Seminar on November 7, 2024, we have the pleasure to listen to Joel Oskarsson, Linköping University, give his talk: Frontiers in machine learning for weather forecasting.

Matthias Obst: Digital Twins & observation systems for monitoring marine biodiversity and change

At RISE Learning Machines Seminar on October 17, 2024, we have the pleasure to listen to Matthias Obst, University of Gothenburg, give his talk: Digital Twins & observation systems for monitoring marine biodiversity and change…

Jakob Ambsdorf: Medical image analysis with limited labels

At RISE Learning Machines Seminar on October 3, we have the pleasure to listen to Jakob Ambsdorf, University of Copenhagen & Pioneer Centre for AI, give his talk: Medical image analysis with limited labels.

Charlie Fieseler: How to build a brain

At RISE Learning Machines Seminar on September 26, 2024, we have the pleasure to listen to Charlie Fieseler, University of Vienna, give his talk: How to build a brain.

Mélisande Teng: Species distribution modeling using remote sensing and citizen science data

At RISE Learning Machines Seminar on September 19, 2024, we have the pleasure to listen to Mélisande Teng, MILA and Universite de Montreal, give her talk: Species distribution modeling using remote sensing and citizen science…

Smita Chakraborty: AI-SAXS – Decoding Structural Complexity with Intelligent Scattering Analysis

At RISE Learning Machines Seminar on September 5, 2024, we have the pleasure to listen to Smita Chakraborty, RISE, give her talk: AI-SAXS – Decoding Structural Complexity with Intelligent Scattering Analysis.

Jonas Hentati Sundberg: Sensors and AI in seabird research and monitoring

At RISE Learning Machines Seminar on May 30, 2024, we have the pleasure to listen to Jonas Hentati Sundberg, Swedish University of Agricultural Sciences, give his talk: Sensors and AI in seabird research and monitoring.

Shruti Nath: Climate model emulators – tools for agile exploration of future climate uncertainties

At RISE Learning Machines Seminar on May 23, 2024, we have the pleasure to listen to Shruti Nath, University of Oxford and Climate Analytics, give her talk: Monthly climate model emulators: lightweight tools for agile explora…

Mikolaj Czerkawski: Geographical Guidance in the Era of Large-Scale Earth Observation Data and AI

At RISE Learning Machines Seminar on May 16, 2024, we have the pleasure to listen to Mikolaj Czerkawski, European Space Agency, give his talk: Geographical Guidance in the Era of Large-Scale Earth Observation Data and AI.

Tobias Andermann: Spatial biodiversity modeling with remote sensing and AI

At RISE Learning Machines Seminar on April 18, 2024, we have the pleasure to listen to Tobias Andermann, Uppsala University, give his talk: Spatial biodiversity modeling with remote sensing and AI.

Alouette van Hove: Guiding drones by information gain

At RISE Learning Machines Seminar on April 11, 2024, we have the pleasure to listen to Alouette van Hove, University of Oslo, give her talk: Guiding drones by information gain. 

Karsten Kreis: Visual Generative AI with Diffusion Models – From Static Pixels to Video, 3D and 4D Synthesis

At RISE Learning Machines Seminar on April 4, 2024, we have the pleasure to listen to Karsten Kreis, NVIDIA Research, give his talk: Visual Generative AI with Diffusion Models: From Static Pixels to Video, 3D and 4D Synthesis…

Yonghao Xu: Machine learning for remote sensing

At RISE Learning Machines Seminar on March 28 2024, we have the pleasure to listen to Yonghao Xu, Linköping University, give his talk: Machine learning for remote sensing. 

Santiago Martinez Balvanera: Data-driven bat monitoring: leveraging machine learning

At RISE Learning Machines Seminar on 14 March 2024, we have the pleasure to listen to Santiago Martinez Balvanera, University College London, give his talk: Data-driven bat monitoring: leveraging machine learning for effectiv…

Joakim Lindblad: Trustworthy AI-based decision support in cancer diagnostics

At RISE Learning Machines Seminar on January 25, 2024, we have the pleasure to listen to Joakim Lindblad, Uppsala University, give his talk: Trustworthy AI-based decision support in cancer diagnostics.

Alisa Devlic: Superhuman racing AI through deep reinforcement learning

At RISE Learning Machines Seminar on November 23, 2023, we have the pleasure to listen to Alisa Devlic, Sony AI, give her talk: Superhuman racing AI through deep reinforcement learning.

Alexander Mathis: Measuring behavior and modeling the brain with machine learning

At RISE Learning Machines Seminar on February 22 2024, we have the pleasure to listen to Alexander Mathis, EPFL, give his talk: Measuring behavior and modeling the brain with machine learning. 

Serge Belongie: Challenges in Fine-Grained Image Analysis

At RISE Learning Machines Seminar on January 18 2024,  we have the pleasure to listen to Serge Belongie, University of Copenhagen, give his talk: Challenges in Fine-Grained Image Analysis.

Fredrik Gustafsson: Reliable regression model uncertainty under real-world distribution shifts

At RISE Learning Machines Seminar on March 21 2024, we have the pleasure to listen to Fredrik Gustafsson, Karolinska Institutet, give his talk: How reliable is your regression model’s uncertainty under real-world distribution…

Stefan Bauer: Neural causal models

At RISE Learning Machines Seminar on December 7 2023, we have the pleasure to listen to Stefan Bauer, TU Munich, give his talk: Neural causal models

Ben Weinstein: General Models for Airborne Wildlife Detection

At RISE Learning Machines Seminar on November 30 2023, we have the pleasure to listen to Ben Weinstein, University of Florida, give his talk: General Models for Airborne Wildlife Detection.

Jonas Hellgren: Reinforcement Learning – theory and applications

At RISE Learning Machines Seminar on November 16 2023, we have the pleasure to listen to Jonas Hellgren, RISE, give his talk: Reinforcement learning – theory and applications.

Nataša Sladoje: Automated alignment of multimodal images: To (deep) learn – or not?

At RISE Learning Machines Seminar on November 9 2023, we have the pleasure to listen to Nataša Sladoje, Uppsala University, give her talk: Automated alignment of multimodal images: To (deep) learn – or not?

Science of AI

How do we work with the science of AI? The Center for Applied AI at RISE is pushing the research frontier and ensuring scientific excellence along a select number of research directions.  

Priya Donti: Optimization-in-the-loop ML for energy and climate

At RISE Learning Machines Seminar on November 2, 2023, we have the pleasure to listen to Priya Donti, MIT and Climate Change AI, give her talk: Optimization-in-the-loop ML for energy and climate.

Valentin De Bortoli: Diffusion Schrödinger Bridge Matching

At RISE Learning Machines Seminar on October 19 2023,  we have the pleasure to listen to Valentin De Bortoli, Google Deepmind, give his talk: MDiffusion Schrödinger Bridge Matching.

Johan Östman: The reality of federated learning: from life sciences to finance and beyond

At RISE Learning Machines Seminar on September 28 2023, we have the pleasure to listen to Johan Östman, AI Sweden, give his talk: The reality of federated learning: from life sciences to finance and beyond. 

Virginia Smith: Evaluating Large-Scale Learning Systems

At RISE Learning Machines Seminar on 14 September 2023, we have the pleasure to listen to Virginia Smith, CMU, give her talk: Evaluating Large-Scale Learning Systems.

Adam Breitholz: Unsupervised domain adaptation by learning using privileged information

At RISE Learning Machines Seminar on 7 September 2023, we have the pleasure to listen to Adam Breitholz, Chalmers University of Technology, give his talk: Unsupervised domain adaptation by learning using privileged informatio…

Zahra Taghiyar Renan: From domain adaptation to federated learning

At RISE Learning Machines Seminar on August 31 2023. we had the pleasure to listen to Zahra Taghiyar Renan, Halmstad University, give her talk: From domain adaptation to federated learning.  – Theoretically, we…

Nico Lang: Global vegetation monitoring with probabilistic deep learning

At RISE Learning Machines Seminar on September 21 2023, we have the pleasure to listen to Nico Lang, University of Copenhagen give his talk: Global vegetation monitoring with probabilistic deep learning.  This talk will …

Klaus-Robert Müller: Machine Learning and AI for the Sciences

At RISE Learning Machines Seminar on October 5 2023, we have the pleasure to listen to Klaus-Robert Müller give his talk: Machine Learning and AI for the Sciences.   In his talk, Müller will touch upon the…

Lena Voita: A Journey on Interpretability Methods in NLP: Inside-Out and Back

At RISE Learning Machines Seminar on Jan 26 2023, we have the pleasure to listen to Lena Voita, FAIR, give her talk:  A Journey on Interpretability Methods in NLP: Inside-Out and Back. – In this talk, I will illustrate s…

Contact for learning machine seminars

Learning machines seminars – previous seminars

Here you will find the previous seminars of 2023. Full archive can be found in the menu to the right.

Learning Machines Seminars – Upcoming Seminars

Here you find all the upcoming Learning Machines Seminars. Update your calendar with upcoming seminar dates of your interest!
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

AI for climate change

We are facing the greatest challenge in modern time. Climate change is already giving rise to extreme weather events around the world. Artificial intelligence can be used both to mitigate and help us adapt to the disasters we face…
Expertise

MLUP

Machine learning (ML) is an efficient tool to mimic complex processes. Numerical simulations, such as computational fluid dynamics (CFD) is often extremely time demanding and may occupy considerable computer resources for an exten…
Expertise

Deep learning

Deep learning has taken the world by storm as the modern day work-horse powering many recent solutions in artificial intelligence, including Chat GPT, Dall-E, and autonomous driving. Deep neural networks are used in many applicati…
Expertise

Natural Language Processing

Natural Language Processing (NLP) is the task of using computer programs to analyze, understand and generate natural language. Our research concerns both basic algorithms for language AI and the use of such algorithms to solve var…
Education area

Learning Machines Seminars

Learning Machines Seminars gathers experts in AI for an open weekly seminar! Seminars include presentations on a current topic on machine learning.
Publications
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