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 (2)

Creating new ML numerical ODE/ODE solvers

Alexandros Sopasakis, Lunds universitet
2021-12-10 – 2023-01-01

Scalable optimization for machine-learning

Mikael Johansson, Kungliga Tekniska högskolan
2021-12-14 – 2023-01-01

Computer and Information Sciences (6)

Computational Experiments for Automatic Program Repair, Projet SELFHEALING, Prof Monperrus

Martin Monperrus, Kungliga Tekniska högskolan
2022-01-01 – 2023-01-01

EIStwo

Tomas Nordström, Umeå universitet
2021-12-10 – 2023-01-01

Efficient communication with Deep reinforcement learning

Emil Carlsson, Chalmers tekniska högskola
2021-12-03 – 2022-12-01

HASTE: Hierarchical Analysis of Spatial and Temporal Data

Ankit Gupta, Uppsala universitet
2021-12-14 – 2023-01-01

ML for Computer Vision

Fredrik Kahl, Chalmers tekniska högskola
2021-11-09 – 2022-12-01

Product Recognition Systems for Retail

Tobias Pettersson, Högskolan i Skövde
2021-11-19 – 2022-12-01

Biological Sciences (1)

A system for automated analysis of subsea movies using citizen science and machine learning

Matthias Obst, Göteborgs universitet
2022-01-01 – 2023-01-01

Electrical Engineering, Electronic Engineering, Information Engineering (2)

Motions and voice

Andreas Jakobsson, Lunds universitet
2021-12-03 – 2022-12-01

Semi-supervised Learning for Medical Image Analysis

Roman Naeem, Chalmers tekniska högskola
2021-12-30 – 2023-01-01

Medical Engineering (2)

Implementation of innovative image analysis tools in the radiological workflow

Rolf A Heckemann, Göteborgs universitet
2022-01-01 – 2023-01-01

Trustworthy AI-based decision support in cancer diagnostics

Joakim Lindblad, Uppsala universitet
2021-11-05 – 2022-12-01

Other Engineering and Technologies (1)

Explainable deep learning methods for human-human and human-robot interaction

Ginevra Castellano, Uppsala universitet
2021-12-13 – 2022-12-01

Basic Medicine (1)

AlphaFold2 for predicting protein interaction surfaces

Gemma Atkinson, Lunds universitet
2021-11-17 – 2022-12-01

Medical Biotechnology (1)

new VAE formulations for single cell analysis

Johan Henriksson, Umeå universitet
2021-11-09 – 2022-12-01

Economics and Business (1)

Project on solving high-dimentional dynamic model by deep learning

Tianze Liu, Uppsala universitet
2021-12-10 – 2023-01-01

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
2022-01-01 – 2023-01-01

Media and Communications (1)

Using machine learning to analyze content aspects of online political influence campaigns

Nils Holmberg, Lunds universitet
2022-01-01 – 2023-01-01