SNIC SUPR
Current SNIC AI/ML Projects

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 (3)

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 (18)

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

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

Efficient communication with Deep reinforcement learning

Emil Carlsson, Chalmers tekniska högskola
2020-09-04 – 2021-09-01

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

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

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 (1)

Machine learning for topological codes and topological matter

Mats Granath, Göteborgs universitet
2020-08-28 – 2021-09-01

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 (1)

Data-driven modelling of short fibre composites

Martin Fagerström, Chalmers tekniska högskola
2020-11-26 – 2021-12-01

Medical Engineering (1)

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