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 (4)

Creating new ML numerical ODE/ODE solvers

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

Microstructures and mass transport - a machine learning approach

Magnus Röding, Chalmers tekniska högskola
2021-11-01 – 2022-11-01

Randomness in Dynamical Systems and Machine Learning

Soon Hoe Lim, NORDITA
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 (48)

(e)PREDICT: (electrified) PREDIctive Consolidated Transportation

Gyözö Gidofalvi, Kungliga Tekniska högskolan
2021-02-19 – 2022-03-01

2021 IEEE Autonomous Driving AI Test Challenge

Afonso Fontes, Chalmers tekniska högskola
2021-04-21 – 2022-05-01

A pervasive model for computing trust to news

Alireza Mohammadinodooshan, Linköpings universitet
2021-08-25 – 2022-03-01

AI for education

Yongchao Wu, Stockholms universitet
2021-11-05 – 2022-06-01

AI for improved decision making in healthcare

Fredrik Johansson, Chalmers tekniska högskola
2021-09-01 – 2022-09-01

AI-driven synthetic biology for proteins

Aleksej Zelezniak, Chalmers tekniska högskola
2021-04-13 – 2022-05-01

Alvis Introduction Workshop

Viktor Rehnberg, Chalmers tekniska högskola
2021-10-22 – 2022-11-01

Artifical intelligence use in COVID19 and cell death research

Sonja Aits, Lunds universitet
2021-04-20 – 2022-05-01

Classification of reduced-lead ECG data using wavelet scattering network

Joakim Andén-Pantera, Kungliga Tekniska högskolan
2021-11-02 – 2022-04-01

Comparing knowledge tracing with Vektor data

Richard Scruggs, Karolinska Institutet
2021-06-29 – 2022-07-01

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

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

Contextualised word embeddings for current and historical Swedish

Simon Hengchen, Göteborgs universitet
2021-03-04 – 2022-04-01

Deep Learning for Natural Language Processing

Ehsan Doostmohammadi, Linköpings universitet
2021-10-07 – 2022-10-01

Deep Learning for Robot Vision

Michael Felsberg, Linköpings universitet
2021-10-01 – 2022-10-01

Deep learning for multi-object tracking and medical image analysis

Lennart Svensson, Chalmers tekniska högskola
2021-12-12 – 2023-01-01

Deep learning models for modelling genetic variation

Carl Nettelblad, Uppsala universitet
2021-09-01 – 2022-09-01

Detecting Bias in Audio-Visual Spoken Interaction

Giampiero Salvi, Kungliga Tekniska högskolan
2021-02-01 – 2022-02-01

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

Evaluation project for the group of Thomas Schön

Thomas Schön, Uppsala universitet
2021-09-23 – 2022-03-01

Explainable AI for Air Quality Prediction

Karl Andersson, Luleå tekniska universitet
2021-10-01 – 2022-10-01

Federated Learning for NLP

Addi Ait-Mlouk, Uppsala universitet
2021-03-10 – 2022-04-01

Federated Reinforcement Learning

Hongyi Zhang, Chalmers tekniska högskola
2021-09-06 – 2022-10-01

Generative models for model based reinforcement learning

Emilio Jorge, Chalmers tekniska högskola
2021-09-15 – 2022-10-01

Geometry of Linear Regions for Deep ReLU Networks

Mårten Björkman, Kungliga Tekniska högskolan
2021-11-02 – 2022-11-01

HASTE: Hierarchical Analysis of Spatial and Temporal Data

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

Integration of language and vision in machine learning models

Josephine Sullivan, Kungliga Tekniska högskolan
2021-04-15 – 2022-05-01

Joint Energy-based Model

Xixi Liu, Chalmers tekniska högskola
2021-05-21 – 2022-06-01

ML for Computer Vision

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

Machine Learning for Causal Inference

Anton Matsson, Chalmers tekniska högskola
2021-10-01 – 2022-04-01

Machine learning for improved decision making

Newton Mwai Kinyanjui, Chalmers tekniska högskola
2021-09-01 – 2022-09-01

Molecular fragment similarity

Niclas Ståhl, Högskolan i Jönköping
2021-10-28 – 2022-11-01

Multilingual and low-resource natural language processing

Marcel Bollmann, Högskolan i Jönköping
2021-06-24 – 2022-07-01

Natural Language Processing Research (year 2)

Lovisa Hagström, Chalmers tekniska högskola
2021-11-01 – 2022-11-01

Privacy-preserving learning for vehicle networks: applications and tools

Shiliang Zhang, Chalmers tekniska högskola
2021-10-01 – 2022-07-01

Processing of Historical Handwritten Manuscripts using Deep Learning Algorithms

Raphaela Heil, Uppsala universitet
2021-10-01 – 2022-10-01

Product Recognition Systems for Retail

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

ProteinSequenceGeneration

Tobias Karlsson, Chalmers tekniska högskola
2021-09-13 – 2022-10-01

Prototyping and learning for Chalmers E-commons research engineers

Vilhelm Verendel, Chalmers tekniska högskola
2021-10-27 – 2022-11-01

Resource Efficent AI in Networks

Ali Beikmohammadi, Stockholms universitet
2021-10-22 – 2022-11-01

Resource-efficient disparity estimation on edge devices using neural architecture search methods

Mohammad Loni, Mälardalens högskola
2021-04-13 – 2022-05-01

Safe Reinforcement Learning and Decision Making

Hannes Eriksson, Chalmers tekniska högskola
2021-05-07 – 2022-06-01

Semi-supervsied multi-Task deep learning

Atsuto Maki, Kungliga Tekniska högskolan
2021-06-14 – 2022-07-01

Structured multilinguality for natural language processing

Robert Östling, Stockholms universitet
2021-10-27 – 2022-11-01

Text and speech mining on GPU

Johan Frid, Lunds universitet
2021-04-15 – 2022-05-01

Transferable concepts

Adam Breitholtz, Chalmers tekniska högskola
2021-09-01 – 2022-09-01

Transforming Automotive Architecture with Assistance from AI (CHAIR T4AI)

Jennifer Horkoff, Göteborgs universitet
2021-05-07 – 2022-06-01

ml@e2-sp-cv

Lars Hammarstrand, Chalmers tekniska högskola
2021-06-13 – 2022-07-01

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
2021-09-01 – 2022-09-01

Chemical Sciences (1)

Modelling electrolyte materials and interfaces with atomistic machine learning

Chao Zhang, Uppsala universitet
2021-07-01 – 2022-07-01

Earth and Related Environmental Sciences (3)

Assessing Deep Learning Models for Large-Scale Burn Severity Mapping with 10 Years' Landsat Satellite Data

Xikun Hu, Kungliga Tekniska högskolan
2021-09-21 – 2022-10-01

Data-driven automation of map labelling – enabling affordable high-quality maps

Lars Harrie, Lunds universitet
2021-05-01 – 2022-05-01

Machine ARs

Venugopal Reddy Thandlam, Uppsala universitet
2021-06-28 – 2022-07-01

Biological Sciences (3)

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

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

Alphafold-assisted enzyme discovery and characterization

Johan Larsbrink, Chalmers tekniska högskola
2021-10-22 – 2022-11-01

Ecosystems

Claes Strannegård, Chalmers tekniska högskola
2021-03-26 – 2022-04-01

Other Natural Sciences (1)

Gauge Equivariant Convolutional Neural Networks

Daniel Persson, Chalmers tekniska högskola
2021-11-01 – 2022-11-01

Civil Engineering (1)

Modeling traffic flow using deep learning methods

Hossein Ehteshami, Uppsala universitet
2021-08-26 – 2022-09-01

Electrical Engineering, Electronic Engineering, Information Engineering (5)

Drivers' activity recognition

Che-Tsung Lin, Chalmers tekniska högskola
2021-04-26 – 2022-05-01

Machine learning for dynamic obstacle predictions

Knut Åkesson, Chalmers tekniska högskola
2021-10-22 – 2022-11-01

Motions and voice

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

NRI

Carmen Lee, Uppsala universitet
2021-03-31 – 2022-04-01

Semi-supervised Learning for Medical Image Analysis

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

Mechanical Engineering (4)

Adaptive Neural Controller for Future Renewable Fuels

Ahfaz Ahmed, Chalmers tekniska högskola
2021-05-24 – 2022-06-01

Data-driven modelling of complex fluid flows

Outi Tammisola, Kungliga Tekniska högskolan
2021-12-14 – 2022-07-01

Machine Learning for bubble detection for subcooled boiling in minichannel

Jerol Soibam, Mälardalens högskola
2021-09-15 – 2022-04-01

Maching learning of combustion models

Rixin Yu, Lunds universitet
2021-03-17 – 2022-04-01

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 (2)

Absolute quantification of COL1A1+ cells after transplantation to the rat striatum

Yuan Li, Lunds universitet
2021-08-23 – 2022-03-01

AlphaFold2 for predicting protein interaction surfaces

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

Clinical Medicine (1)

Artificial Intelligence for Prostate Cancer Diagnosis and Prognostication

Martin Eklund, Karolinska Institutet
2022-01-01 – 2023-01-01

Health Sciences (1)

Deep learning, Machine learning, and Bayesian computational in epidemiology

Rani Basna, Göteborgs universitet
2021-10-01 – 2022-10-01

Medical Biotechnology (2)

Deep Autoencoder Neural Network for identification of Doxorubicin-induced gene expression profile in stem cell-based cardiomyocytes

Dario Melguizo Sanchis, Högskolan i Skövde
2021-10-08 – 2022-11-01

new VAE formulations for single cell analysis

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

Veterinary Science (1)

Karakterisering av andningsmissljud

Magnus Karlsteen, Chalmers tekniska högskola
2021-07-01 – 2022-07-01

Psychology (1)

Developing Person-Centered Computational Language Assessments for Diagnosing Depression and Anxiety

Oscar Kjell, Lunds universitet
2021-08-26 – 2022-03-01

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

History and Archaeology (1)

Face recognition in historical photo collections

Anders Hast, Uppsala universitet
2021-04-15 – 2022-05-01