This page lists current SNIC AI/ML projects. Use the left-side menu to view other types.
Research Areas
The area is based on the three-digit level (forskningsämnesgrupp) from Standard för svensk indelning av forskningsämnen applied to the primary classification.
- Mathematics (4)
- Computer and Information Sciences (26)
- Physical Sciences (3)
- Chemical Sciences (2)
- Earth and Related Environmental Sciences (1)
- Biological Sciences (2)
- Other Natural Sciences (1)
- Electrical Engineering, Electronic Engineering, Information Engineering (2)
- Mechanical Engineering (2)
- Medical Engineering (2)
- Health Sciences (1)
- Medical Biotechnology (1)
- Veterinary Science (1)
- Political Science (1)
Mathematics (4)
- AI For Science Bootcamp – NVIDIA/ENCCS
Kjartan Thor Wikfeldt, Uppsala universitet
2021-02-20 – 2021-04-01- Microstructures and mass transport - a machine learning approach
Magnus Röding, Chalmers tekniska högskola
2020-10-02 – 2021-11-01- Probabilistic Word Embeddings using Tensorflow
Måns Magnusson, Uppsala universitet
2020-11-09 – 2021-07-01- Scalable optimization for machine-learning
Mikael Johansson, Kungliga Tekniska högskolan
2020-10-27 – 2021-11-01
Computer and Information Sciences (26)
- (e)PREDICT: (electrified) PREDIctive Consolidated Transportation
Gyözö Gidofalvi, Kungliga Tekniska högskolan
2021-02-19 – 2022-03-01- AI for improved decision making in healthcare
Fredrik Johansson, Chalmers tekniska högskola
2020-09-01 – 2021-09-01- BioIntegration: Biomedical data integration with AI
Benjamin Ulfenborg, Högskolan i Skövde
2020-09-24 – 2021-10-01- Computational Experiments for Automatic Program Repair, Projet SELFHEALING, Prof Monperrus
Martin Monperrus, Kungliga Tekniska högskolan
2020-12-14 – 2022-01-01- Contextualised word embeddings for current and historical Swedish
Simon Hengchen, Göteborgs universitet
2021-03-04 – 2022-04-01- Deep Learning for Robot Vision
Michael Felsberg, Linköpings universitet
2020-09-04 – 2021-10-01- Deep learning models for modelling genetic variation
Carl Nettelblad, Uppsala universitet
2020-09-04 – 2021-09-01- Detecting Bias in Audio-Visual Spoken Interaction
Giampiero Salvi, Kungliga Tekniska högskolan
2021-02-01 – 2022-02-01- Efficient communication with Deep reinforcement learning
Emil Carlsson, Chalmers tekniska högskola
2020-09-04 – 2021-09-01- Evaluation of Convolutional and Graph Neural Networks for Digital Pathology on High Performance GPUs
Karl Meinke, Kungliga Tekniska högskolan
2020-12-22 – 2022-01-01- Federated Learning for NLP
Addi Ait-Mlouk, Uppsala universitet
2021-03-10 – 2022-04-01- Generative models for reinforcement learning
Emilio Jorge, Chalmers tekniska högskola
2020-09-04 – 2021-09-01- Geometry of Linear Regions for Deep ReLU Networks
Mårten Björkman, Kungliga Tekniska högskolan
2020-10-29 – 2021-11-01- HASTE: Hierarchical Analysis of Spatial and Temporal Data
Ankit Gupta, Uppsala universitet
2020-12-11 – 2021-12-01- ML for Alzheimer
Lena Stempfle, Chalmers tekniska högskola
2020-09-15 – 2021-10-01- Machine Learning for Causal Inference
Anton Matsson, Chalmers tekniska högskola
2020-09-25 – 2021-04-01- Machine learning for improved decision making
Newton Mwai Kinyanjui, Chalmers tekniska högskola
2020-09-04 – 2021-09-01- Natural Language Processing Research (year 1)
Lovisa Hagström, Chalmers tekniska högskola
2020-10-27 – 2021-11-01- Privacy-preserving learning for vehicle networks: applications and tools
Shiliang Zhang, Chalmers tekniska högskola
2020-09-30 – 2021-10-01- Proof of concept: Generative models of categorical data for rare disease classification.
Simon Olsson, Chalmers tekniska högskola
2021-02-01 – 2021-10-01- Real-time end-to-end Federated Learning
Hongyi Zhang, Chalmers tekniska högskola
2020-09-01 – 2021-09-01- Research in Natural Language Processing
Tobias Norlund, Chalmers tekniska högskola
2020-11-26 – 2021-12-01- Robust Loss Functions for Learning with Noisy Labels
Erik Englesson, Kungliga Tekniska högskolan
2020-11-09 – 2021-06-01- Structured multilinguality for natural language processing
Robert Östling, Stockholms universitet
2020-09-30 – 2021-10-01- Transferable concepts
Adam Breitholtz, Chalmers tekniska högskola
2020-09-01 – 2021-09-01- ml@e2-sp-cv
Lars Hammarstrand, Chalmers tekniska högskola
2020-11-09 – 2021-06-01
Physical Sciences (3)
- AI for Single Particle Catalysis
Henrik Klein Moberg, Chalmers tekniska högskola
2021-03-04 – 2022-04-01- Machine Learning for Nanophotonics
Philippe Tassin, Chalmers tekniska högskola
2021-03-04 – 2022-04-01- Machine learning for topological codes and topological matter
Mats Granath, Göteborgs universitet
2020-08-28 – 2021-09-01
Chemical Sciences (2)
- GPU to develop FFs by GAs, simulate electrolytes and do ML on battery electrodes.
Patrik Johansson, Chalmers tekniska högskola
2020-12-09 – 2022-01-01- Modelling inorganic crystalline electrolytes with atomistic machine learning
Chao Zhang, Uppsala universitet
2020-12-15 – 2021-07-01
Earth and Related Environmental Sciences (1)
- AI for Wildfire Using Optical and Radar Time Series
Puzhao Zhang, Kungliga Tekniska högskolan
2020-11-04 – 2021-11-01
Biological Sciences (2)
- A system for automated analysis of subsea movies using citizen science and machine learning
Matthias Obst, Göteborgs universitet
2020-12-20 – 2022-01-01- Determining protein backbone structures and sequences from occupied volumes using a Transformer
Jasmine Gardner, Uppsala universitet
2020-09-30 – 2021-10-01
Other Natural Sciences (1)
- Gauge Equivariant Convolutional Neural Networks
Daniel Persson, Chalmers tekniska högskola
2020-10-27 – 2021-11-01
Electrical Engineering, Electronic Engineering, Information Engineering (2)
- Deep learning for rigorous SW testing and verification
Dhasarathy Parthasarathy, Chalmers tekniska högskola
2020-08-27 – 2021-09-01- Motions and voice
Andreas Jakobsson, Lunds universitet
2020-09-18 – 2021-10-01
Mechanical Engineering (2)
- Data-driven modelling of short fibre composites
Martin Fagerström, Chalmers tekniska högskola
2020-11-26 – 2021-12-01- Physics-informed neural networks for turbulence simulations
Philipp Schlatter, Kungliga Tekniska högskolan
2020-12-30 – 2022-01-01
Medical Engineering (2)
- Implementation of innovative image analysis tools in the radiological workflow
Rolf A Heckemann, Göteborgs universitet
2020-12-17 – 2022-01-01- In Silico Traction Force Microscopy
Nicolas Pielawski, Uppsala universitet
2020-11-09 – 2021-12-01
Health Sciences (1)
- Deep learning, Machine learning, and Bayesian computational in epidemiology
Rani Basna, Göteborgs universitet
2020-09-22 – 2021-10-01
Medical Biotechnology (1)
- Deep Autoencoder Neural Network for identification of Doxorubicin-induced gene expression profile in stem cell-based cardiomyocytes
Dario Melguizo Sanchis, Högskolan i Skövde
2020-09-14 – 2021-10-01
Veterinary Science (1)
- Karakterisering av andningsmissljud
Magnus Karlsteen, Chalmers tekniska högskola
2021-02-17 – 2021-07-01
Political Science (1)
- Methods for the analysis of spreading phenomena in networks, with a focus on the online spreading of political ideas through visual content
Matteo Magnani, Uppsala universitet
2020-12-28 – 2022-01-01