Research Projects on Berzelius

(Updated on 2023-09-22)

• Completed projects: 301
• Ongoing projects: 144

For completed projects on Berzelius, please read here.

• Current research projects on Berzelius
  • 2023

Current Research Projects on Berzelius

2023

• Project title: Storage for PReSTO pilot SNIC 2022/5-414
  Project duration: 2023-01-01 – 2024-01-01
  Principal Investigator: Martin Moche, Karolinska Institutet

• Project title: Neuroimage analysis for Alzheimer's disease using deep learning
  Project duration: 2023-03-02 – 2023-10-01
  Principal Investigator: Hang Zhao, Göteborgs universitet

• Project title: A transferable Boltzmann Generator for small molcules conformations
  Project duration: 2023-04-01 – 2023-10-01
  Principal Investigator: Juan Viguera Diez, Chalmers tekniska högskola

• Project title: Screening for novel materials using machine learning
  Project duration: 2023-03-03 – 2023-10-01
  Principal Investigator: Rickard Armiento, Linköpings universitet

• Project title: Mapping Fcuntional Brain Connectivity Alterations in Alzhiemier's Disease with Machine Learning
  Project duration: 2023-03-03 – 2023-10-01
  Principal Investigator: Jiawei Sun, Karolinska Institutet

• Project title: Closing the Modality Gap of CLIP embedding space
  Project duration: 2023-03-03 – 2023-10-01
  Principal Investigator: Peiyang Shi, Kungliga Tekniska högskolan

• Project title: Horse 3D reconstruction
  Project duration: 2023-03-08 – 2023-10-01
  Principal Investigator: Ci Li, Kungliga Tekniska högskolan

• Project title: AI-assisted plankton monitoring
  Project duration: 2023-03-08 – 2023-10-01
  Principal Investigator: Anders Andersson, Kungliga Tekniska högskolan

• Project title: Cloud robotics for large-scale manipulation
  Project duration: 2023-03-08 – 2023-10-01
  Principal Investigator: Shutong Jin, Kungliga Tekniska högskolan

• Project title: Deep learning analysis of anatomical brain connectivity in Alzheimer's disease and Ageing
  Project duration: 2023-03-08 – 2023-10-01
  Principal Investigator: Blanca Zufiria, Karolinska Institutet

• Project title: Deep learning based species classification of bacteria using time-lapse of growth in microfluidic chip imaged by phase contrast microscopy
  Project duration: 2023-04-01 – 2023-10-01
  Principal Investigator: Erik Hallström, Uppsala universitet

• Project title: Bayesian Reinforcement Learning
  Project duration: 2023-04-01 – 2023-10-01
  Principal Investigator: Divya Grover, Chalmers tekniska högskola

• Project title: Research in retrieval augmented language modeling
  Project duration: 2023-04-01 – 2023-10-01
  Principal Investigator: Tobias Norlund, Chalmers tekniska högskola

• Project title: Management Beyond the Edge
  Project duration: 2023-04-01 – 2023-10-01
  Principal Investigator: Eunil Seo, Umeå universitet

• Project title: 3D Helical Reconstruction of Amyloid Fibrils formed by the human Islet Amyloid Polypeptide and its mutants
  Project duration: 2023-03-22 – 2023-10-01
  Principal Investigator: Michal Maj, Uppsala universitet

• Project title: Numerical methods for optimization problems arising in ML
  Project duration: 2023-03-29 – 2023-10-01
  Principal Investigator: Måns Williamson, Lunds universitet

• Project title: Unsupervised Landmark detection
  Project duration: 2023-03-30 – 2023-10-01
  Principal Investigator: Markus Ekvall, Kungliga Tekniska högskolan

• Project title: SSL-TTS
  Project duration: 2023-04-01 – 2023-10-01
  Principal Investigator: Siyang Wang, Kungliga Tekniska högskolan

• Project title: HUDI: Huge Complex Diagnostic Imaging Data
  Project duration: 2023-03-29 – 2023-10-01
  Principal Investigator: Jonas Lantz, Linköpings universitet

• Project title: AlphaFold2 modelling for structural data
  Project duration: 2023-03-30 – 2023-10-01
  Principal Investigator: Leonardo Monrroy, Uppsala universitet

• Project title: Modelling isoforms and conformations of Kv7 channels through AlphaFold
  Project duration: 2023-03-31 – 2023-10-01
  Principal Investigator: Sara Liin, Linköpings universitet

• Project title: Deep Learning for the Physical World
  Project duration: 2023-04-01 – 2023-10-01
  Principal Investigator: Mårten Björkman, Kungliga Tekniska högskolan

• Project title: Modulation of receptor function and enzyme evolution via optimized mutagenesis designs
  Project duration: 2023-03-31 – 2023-10-01
  Principal Investigator: Hugo Gutierrez de Teran, Uppsala universitet

• Project title: MultiPRESS: Deep learning for super-resolution 4D Flow MRI
  Project duration: 2023-03-31 – 2023-10-01
  Principal Investigator: David Marlevi, Karolinska Institutet

• Project title: HASTE: Hierarchical Analysis of Spatial and Temporal Data
  Project duration: 2023-03-31 – 2023-10-01
  Principal Investigator: Carolina Wählby, Uppsala universitet

• Project title: Deep learning for morphological cell profiling
  Project duration: 2023-03-31 – 2023-10-01
  Principal Investigator: Ola Spjuth, Uppsala universitet

• Project title: Kinetic Simulations of Space Plasmas
  Project duration: 2023-04-01 – 2023-10-01
  Principal Investigator: Shahab Fatemi, Umeå universitet

• Project title: DL4NLP: Deep Learning for Natural Language Processing
  Project duration: 2023-04-01 – 2023-10-01
  Principal Investigator: Marco Kuhlmann, Linköpings universitet

• Project title: Using federated learning and synthetic images to facilitate training of deep networks for medical images
  Project duration: 2023-04-01 – 2023-10-01
  Principal Investigator: Anders Eklund, Linköpings universitet

• Project title: Graph-based, spatial and temporal machine learning
  Project duration: 2023-04-01 – 2023-10-01
  Principal Investigator: Fredrik Lindsten, Linköpings universitet

• Project title: Training and Understanding Modern Deep Networks
  Project duration: 2023-04-01 – 2023-10-01
  Principal Investigator: Hossein Azizpour, Kungliga Tekniska högskolan

• Project title: Vehicle Behavior Prediction Using Deep Learning
  Project duration: 2023-04-01 – 2023-10-01
  Principal Investigator: Erik Frisk, Linköpings universitet

• Project title: Pose and shape inference with machine learning
  Project duration: 2023-04-01 – 2023-10-01
  Principal Investigator: Lucas Brynte, Chalmers tekniska högskola

• Project title: Outdoor sparse sensing and superresolution of acoustic fields
  Project duration: 2023-04-05 – 2023-11-01
  Principal Investigator: Elias Zea, Kungliga Tekniska högskolan

• Project title: Robust machine learning for multimodal multitask learning
  Project duration: 2023-04-05 – 2023-11-01
  Principal Investigator: Xuan-Son Vu, Umeå universitet

• Project title: Deep Learning Based Road Geometry Estimation
  Project duration: 2023-04-06 – 2023-11-01
  Principal Investigator: Adam Lilja, Chalmers tekniska högskola

• Project title: Atomistic Modelling of Barocaloric Plastic Crystals using Equivariant Graph Neural Network Interatomic Potentials
  Project duration: 2023-04-11 – 2023-11-01
  Principal Investigator: Johan Klarbring, Linköpings universitet

• Project title: Breast Tomothsynthesis Generation and Reconstrcution
  Project duration: 2023-04-17 – 2023-11-01
  Principal Investigator: Zhikai Yang, Kungliga Tekniska högskolan

• Project title: WASP-TAD-DL2
  Project duration: 2023-04-17 – 2023-11-01
  Principal Investigator: Anindya Sundar Das, Umeå universitet

• Project title: Deep-learning data processing for photon-counting CT
  Project duration: 2023-04-17 – 2023-11-01
  Principal Investigator: Mats Persson, Kungliga Tekniska högskolan

• Project title: Deep learning for prostate cancer
  Project duration: 2023-05-01 – 2023-11-01
  Principal Investigator: Eduard Chelebian Kocharyan, Uppsala universitet

• Project title: federated frank-wolfe
  Project duration: 2023-04-21 – 2023-11-01
  Principal Investigator: Ali Dadras, Umeå universitet

• Project title: Synthesizing tau pathology from structural brain imaging using deep learning
  Project duration: 2023-04-21 – 2023-11-01
  Principal Investigator: Yu-Wei Chang, Göteborgs universitet

• Project title: PReSTO-Cryo-EM study of GPCRs protein
  Project duration: 2023-04-25 – 2023-11-01
  Principal Investigator: Linda Juniar, Göteborgs universitet

• Project title: Improving Domain Generalization approaches for High Content Imaging Data
  Project duration: 2023-04-27 – 2023-11-01
  Principal Investigator: Johan Fredin Haslum, Kungliga Tekniska högskolan

• Project title: Scaling laws under different task complexities
  Project duration: 2023-04-27 – 2023-11-01
  Principal Investigator: Kevin Smith, Kungliga Tekniska högskolan

• Project title: Conformational sampling and docking with AlphaFold
  Project duration: 2023-05-01 – 2023-11-01
  Principal Investigator: Björn Wallner, Linköpings universitet

• Project title: Modifying and retraining AlphaFold2 to integrate experimental information
  Project duration: 2023-05-01 – 2023-11-01
  Principal Investigator: Claudio Mirabello, Linköpings universitet

• Project title: Continual Learning Methods for Large-Scale Language Models
  Project duration: 2023-05-01 – 2023-11-01
  Principal Investigator: Magnus Boman, Kungliga Tekniska högskolan

• Project title: Multi-Task Multi-Modal Meta learning
  Project duration: 2023-05-01 – 2023-11-01
  Principal Investigator: Marcus Liwicki, Luleå tekniska universitet

• Project title: AlphaFold2 prediction of the virus-host interactome
  Project duration: 2023-04-30 – 2023-11-01
  Principal Investigator: Vasili Hauryliuk, Lunds universitet

• Project title: Artifical intelligence use in biomedical research
  Project duration: 2023-05-01 – 2023-11-01
  Principal Investigator: Sonja Aits, Lunds universitet

• Project title: Image Denoising with Stochastic Differential Equations
  Project duration: 2023-06-01 – 2023-12-01
  Principal Investigator: Ziwei Luo, Uppsala universitet

• Project title: Grounded Language Learning for planning and acting
  Project duration: 2023-06-01 – 2023-12-01
  Principal Investigator: Martin Funkquist, Linköpings universitet

• Project title: Decoding Sleep Deprivation From MEG-based Spatio-Temporal Neural Recordings using Transformers
  Project duration: 2023-05-04 – 2023-12-01
  Principal Investigator: Andreas Gerhardsson, Karolinska Institutet

• Project title: Learning General Policies for Planning using GNNs and Transformers
  Project duration: 2023-06-01 – 2023-12-01
  Principal Investigator: Markus Fritzsche, Linköpings universitet

• Project title: Structural investigations of glycosaminoglycan biosynthetic enzymes
  Project duration: 2023-06-01 – 2023-12-01
  Principal Investigator: Emil Tykesson, Lunds universitet

• Project title: PROSENSE project
  Project duration: 2023-06-01 – 2023-12-01
  Principal Investigator: Yi Yang, Kungliga Tekniska högskolan

• Project title: Explainable machine learning methods for data-driven risk management
  Project duration: 2023-06-01 – 2023-12-01
  Principal Investigator: Marcus Häggbom, Kungliga Tekniska högskolan

• Project title: Multi-Objective Reinforcement Learning for Agent-Based Simulation
  Project duration: 2023-06-01 – 2023-12-01
  Principal Investigator: Johan Källström, Linköpings universitet

• Project title: Transformer Models in Graph and Tabular data.
  Project duration: 2023-05-24 – 2023-12-01
  Principal Investigator: Tianze Wang, Kungliga Tekniska högskolan

• Project title: Reducing Bias and Stereotypes in the Output of Large Language Models
  Project duration: 2023-05-24 – 2023-12-01
  Principal Investigator: Shirin Tahmasebinotarki, Kungliga Tekniska högskolan

• Project title: FactRE: Using Knowledge Graph for Few-shot Relation Extraction
  Project duration: 2023-05-26 – 2023-12-01
  Principal Investigator: Amirhossein Layegh Kheirabadi, Kungliga Tekniska högskolan

• Project title: Modelling of transient protein-protein interactions relevant for human health
  Project duration: 2023-05-26 – 2024-06-01
  Principal Investigator: Björn Wallner, Linköpings universitet

• Project title: Learning Domain Policies for Classical Planning
  Project duration: 2023-05-30 – 2023-12-01
  Principal Investigator: Simon Ståhlberg, Linköpings universitet

• Project title: WASP-FL-DL
  Project duration: 2023-06-01 – 2023-12-01
  Principal Investigator: Sourasekhar Banerjee, Umeå universitet

• Project title: Self-supervised Transformer-based Representation Learning for Autonomous Vehicle Vision
  Project duration: 2023-06-01 – 2023-12-01
  Principal Investigator: Fredrik Lindsten, Linköpings universitet

• Project title: Diffusion Based Generative Models for Causal Representation Learning
  Project duration: 2023-05-31 – 2023-12-01
  Principal Investigator: Stefan Bauer, Kungliga Tekniska högskolan

• Project title: iHorse – improving air quality and Health risk forecasts by data-driven modelling of traffic and atmospheric environment
  Project duration: 2023-06-01 – 2023-12-01
  Principal Investigator: Xiaoliang Ma, Kungliga Tekniska högskolan

• Project title: High throughout prediction of toxin-antitoxin protein interfaces with AlphaFold2
  Project duration: 2023-06-01 – 2023-12-01
  Principal Investigator: Gemma Atkinson, Lunds universitet

• Project title: Optimized End-to-end learning for protein docking
  Project duration: 2023-06-01 – 2023-12-01
  Principal Investigator: Arne Elofsson, Stockholms universitet

• Project title: Cryo-EM studies of antibiotic resistance and RNA modification in bacterial ribosomes
  Project duration: 2023-05-31 – 2023-12-01
  Principal Investigator: Maria Selmer, Uppsala universitet

• Project title: Artificial Intelligence for Prostate Cancer Diagnosis and Prognostication
  Project duration: 2023-06-01 – 2023-12-01
  Principal Investigator: Martin Eklund, Karolinska Institutet

• Project title: Helicase HMM modelling for DNA Nanopore sequencing
  Project duration: 2023-05-31 – 2023-12-01
  Principal Investigator: Joakim Jaldén, Kungliga Tekniska högskolan

• Project title: Semantic Room Layout Estimation from Multiple Views
  Project duration: 2023-05-31 – 2023-12-01
  Principal Investigator: David Gillsjö, Lunds universitet

• Project title: Probing depressing using deep learning on functional MRI data
  Project duration: 2023-05-31 – 2023-12-01
  Principal Investigator: Robin Kämpe, Linköpings universitet

• Project title: Structural analysis of Photosystem II by cryo-EM
  Project duration: 2023-06-01 – 2023-12-01
  Principal Investigator: Wolfgang Schröder, Umeå universitet

• Project title: Compositional Generalisation for Visual Question Answering - building dataset and training models
  Project duration: 2023-06-06 – 2024-01-01
  Principal Investigator: Adam Dahlgren Lindström, Umeå universitet

• Project title: WASP- Private Model selection for Federated Learning
  Project duration: 2023-06-09 – 2024-01-01
  Principal Investigator: Ayush Kumar Varshney, Umeå universitet

• Project title: Perception for Autonomous Driving Systems
  Project duration: 2023-07-01 – 2024-01-01
  Principal Investigator: Georg Hess, Chalmers tekniska högskola

• Project title: Privacy Preserving Machine Learning Techniques
  Project duration: 2023-06-15 – 2024-01-01
  Principal Investigator: Saloni Kwatra, Umeå universitet

• Project title: CryoEM structure of P-type ATPases in lipid nanodiscs
  Project duration: 2023-06-18 – 2024-01-01
  Principal Investigator: Magnus Andersson, Umeå universitet

• Project title: Cryo-EM characterization of monoclonal antibody to the TGFBR1
  Project duration: 2023-06-18 – 2024-01-01
  Principal Investigator: César Rodriguez Gallego, Umeå universitet

• Project title: tutoring Digital Futures Demonstrator project: Semi-automated math coaching –using NLP to extend mattecoach
  Project duration: 2023-06-19 – 2024-01-01
  Principal Investigator: Kathy Tian, Kungliga Tekniska högskolan

• Project title: Automatic Annotations for Autonomous Driving
  Project duration: 2023-06-21 – 2024-01-01
  Principal Investigator: Adam Tonderski, Lunds universitet

• Project title: DeepVision: Deep Learning for Robot Vision
  Project duration: 2023-07-01 – 2024-01-01
  Principal Investigator: Michael Felsberg, Linköpings universitet

• Project title: Foundation Models for Data-driven Human Cell Simulation
  Project duration: 2023-06-26 – 2024-01-01
  Principal Investigator: Wei Ouyang, Kungliga Tekniska högskolan

• Project title: Protein structure prediction and AI in virtual screening
  Project duration: 2023-07-01 – 2024-01-01
  Principal Investigator: Jens Carlsson, Uppsala universitet

• Project title: Perception for Autonomous Vehicles
  Project duration: 2023-07-01 – 2024-01-01
  Principal Investigator: John Folkesson, Kungliga Tekniska högskolan

• Project title: Efficient studies of large-scale topological and unconventional superconductors
  Project duration: 2023-07-01 – 2024-01-01
  Principal Investigator: Annica Black-Schaffer, Uppsala universitet

• Project title: MCMC for Stellar Magnetic Field Reconstruction
  Project duration: 2023-08-01 – 2024-02-01
  Principal Investigator: Jennifer Andersson, Uppsala universitet

• Project title: (WASP project) Beyond supervised learning for semantic analysis of visual data
  Project duration: 2023-08-01 – 2024-02-01
  Principal Investigator: Sebastian Bujwid, Kungliga Tekniska högskolan

• Project title: Computational Experiments for Generative AI Based Automatic Program Repair
  Project duration: 2023-09-01 – 2024-03-01
  Principal Investigator: He Ye, Kungliga Tekniska högskolan

• Project title: Evaluating Computation-intensive Large Language Model(LLM) and Data Mining Algorithms on Online Media Datasets.
  Project duration: 2023-06-28 – 2024-01-01
  Principal Investigator: Tianyi Zhou, Kungliga Tekniska högskolan

• Project title: ML-Down
  Project duration: 2023-07-01 – 2024-01-01
  Principal Investigator: Kristofer Krus, SMHI

• Project title: Structural characterization of mitoribosome during translation of COX protein
  Project duration: 2023-06-29 – 2024-01-01
  Principal Investigator: Minh Duc Nguyen, Karolinska Institutet

• Project title: Deep integrative omic auto-encoder analysis
  Project duration: 2023-06-29 – 2024-01-01
  Principal Investigator: Mika Gustafsson, Linköpings universitet

• Project title: AutoDeep: Automatic Design of Safe, High-Performance and Compact Deep Learning Models for Autonomous Vehicles
  Project duration: 2023-07-10 – 2024-02-01
  Principal Investigator: Masoud Daneshtalab, Mälardalens universitet

• Project title: FASTER-ΑΙ: Fully Autonomous Safety- and Time-critical Embedded Realization of Artificial Intelligence
  Project duration: 2023-07-10 – 2024-02-01
  Principal Investigator: Masoud Daneshtalab, Mälardalens universitet

• Project title: Flexibility analysis on the cryo-EM data of a small protein
  Project duration: 2023-07-10 – 2024-02-01
  Principal Investigator: Szabolcs Bódizs, Göteborgs universitet

• Project title: High-dimensional entropy estimation with applications to deep learning
  Project duration: 2023-08-01 – 2024-02-01
  Principal Investigator: Viktor Nilsson, Kungliga Tekniska högskolan

• Project title: Cryogenic electron microscopy of amyloid-beta oligomers
  Project duration: 2023-07-28 – 2024-02-01
  Principal Investigator: Andreas Barth, Stockholms universitet

• Project title: Building a Large Language Model Based Penetration Tester
  Project duration: 2023-07-28 – 2024-02-01
  Principal Investigator: Syafiq Al Atiiq, Lunds universitet

• Project title: WASP-NEST Cloud Robotics
  Project duration: 2023-07-28 – 2024-02-01
  Principal Investigator: Obaidullah Zaland, Umeå universitet

• Project title: Novel AI Methods for Experimentally Constrained Protein Structure Prediction
  Project duration: 2023-08-14 – 2024-03-01
  Principal Investigator: Gabriel Ducrocq, Linköpings universitet

• Project title: Robust Computer Vision
  Project duration: 2023-08-14 – 2024-03-01
  Principal Investigator: Simon Kristoffersson Lind, Lunds universitet

• Project title: Super-resolution with diffusion models
  Project duration: 2023-09-01 – 2024-03-01
  Principal Investigator: Zheng Zhao, Uppsala universitet

• Project title: Automatic Annotations for Autonomous Driving Data
  Project duration: 2023-08-15 – 2024-03-01
  Principal Investigator: William Ljungbergh, Linköpings universitet

• Project title: Uncertainty estimation and low-dimensional representation learning
  Project duration: 2023-09-01 – 2024-03-01
  Principal Investigator: Daniel Gedon, Uppsala universitet

• Project title: Structure determination of transmembrane protein complexes
  Project duration: 2023-09-01 – 2024-03-01
  Principal Investigator: Linda Johansson, Göteborgs universitet

• Project title: A pilot macromolecular 3D structure determination project - Year 11
  Project duration: 2023-09-01 – 2024-09-01
  Principal Investigator: Martin Moche, Linköpings universitet

• Project title: Endophilin-B1 on nanodiscs
  Project duration: 2023-08-16 – 2023-12-01
  Principal Investigator: Anna Sundborger, Uppsala universitet

• Project title: Classifying neural responses based on attention and working memory
  Project duration: 2023-08-17 – 2024-03-01
  Principal Investigator: Cassia Low Manting, Karolinska Institutet

• Project title: Self-supervised learning for multimodal perception systems
  Project duration: 2023-08-23 – 2024-03-01
  Principal Investigator: Carl Lindström, Chalmers tekniska högskola

• Project title: Deep Learning for Image-based Localization and Mapping
  Project duration: 2023-08-23 – 2024-03-01
  Principal Investigator: Viktor Larsson, Lunds universitet

• Project title: Complex Networks, WASP PhD project
  Project duration: 2023-09-01 – 2023-12-01
  Principal Investigator: Yifei Jin, Kungliga Tekniska högskolan

• Project title: ML Workloads Allocation for CloudRobotics WASP-NEST
  Project duration: 2023-09-01 – 2024-03-01
  Principal Investigator: Florian Pokorny, Kungliga Tekniska högskolan

• Project title: Learning design principles for photoinduced molecular processes from ML-enhanced quantum dynamics simulations
  Project duration: 2023-09-01 – 2024-03-01
  Principal Investigator: Nanna Holmgaard List, Kungliga Tekniska högskolan

• Project title: Continual Learning Methods for Large-Scale Multi-Lingual Language Models
  Project duration: 2023-08-28 – 2024-03-01
  Principal Investigator: Magnus Boman, Kungliga Tekniska högskolan

• Project title: Towards Detailed Visual Understanding via Large-scale Vision-Language Models
  Project duration: 2023-08-28 – 2024-03-01
  Principal Investigator: Fahad Khan, Linköpings universitet

• Project title: A transferable implicit transfer operator model
  Project duration: 2023-08-28 – 2024-03-01
  Principal Investigator: Simon Olsson, Chalmers tekniska högskola

• Project title: Deep Learning for Autonomous Driving
  Project duration: 2023-08-29 – 2024-03-01
  Principal Investigator: Lars Hammarstrand, Chalmers tekniska högskola

• Project title: Deep Learning for Adaptive Continuous Care to Common Mental Health Disorders
  Project duration: 2023-08-29 – 2024-03-01
  Principal Investigator: Fabian Schmidt, Kungliga Tekniska högskolan

• Project title: Datasets for Autonomous Driving
  Project duration: 2023-09-01 – 2024-03-01
  Principal Investigator: Lennart Svensson, Chalmers tekniska högskola

• Project title: Large-Scale Spatio-Temporal Reasoning and Learning
  Project duration: 2023-08-31 – 2024-03-01
  Principal Investigator: Fredrik Heintz, Linköpings universitet

• Project title: Test project for SciLifeLab Data Centre related activities
  Project duration: 2023-09-15 – 2024-04-01
  Principal Investigator: Arnold Kochari, Uppsala universitet

• Project title: Deep Posterior Mean Opinion Score for Speech
  Project duration: 2023-09-01 – 2024-03-01
  Principal Investigator: Saikat Chatterjee, Kungliga Tekniska högskolan

• Project title: Geometric Deep Learning for Computer Vision
  Project duration: 2023-09-01 – 2024-03-01
  Principal Investigator: Georg Bökman, Chalmers tekniska högskola

• Project title: AI-assisted plankton monitoring_II
  Project duration: 2023-10-01 – 2024-04-01
  Principal Investigator: Anders Andersson, Kungliga Tekniska högskolan

• Project title: Numerical methods for optimization problems arising in ML
  Project duration: 2023-10-01 – 2024-04-01
  Principal Investigator: Måns Williamson, Lunds universitet

• Project title: Beyond backpropagation
  Project duration: 2023-09-07 – 2024-04-01
  Principal Investigator: Rasmus Kjær Høier, Chalmers tekniska högskola

• Project title: To understand the architecture of mammalian Zona Pellucida matrix surrounding Oocytes.
  Project duration: 2023-09-07 – 2024-04-01
  Principal Investigator: Suresh Banjara, Umeå universitet

• Project title: A Variational Auto Encoder for Classification of Cancer Samples
  Project duration: 2023-09-08 – 2024-04-01
  Principal Investigator: Lukas Käll, Kungliga Tekniska högskolan

• Project title: semi-lines
  Project duration: 2023-09-12 – 2024-04-01
  Principal Investigator: Johanna Engman, Lunds universitet

• Project title: PReSTO Cryo-EM setup and testing on Berzelius
  Project duration: 2023-09-12 – 2024-04-01
  Principal Investigator: Torben Rasmussen, Linköpings universitet

• Project title: Joint Diffusion Model for Reinforcement Learning
  Project duration: 2023-09-12 – 2024-04-01
  Principal Investigator: Ruoqi Zhang, Uppsala universitet

• Project title: Deep Federated Learning using Transformers
  Project duration: 2023-09-13 – 2024-04-01
  Principal Investigator: Sargam Gupta, Umeå universitet

• Project title: Learning to Solve Conditionally Convex Problems
  Project duration: 2023-09-19 – 2024-04-01
  Principal Investigator: Paul Häusner, Uppsala universitet

• Project title: Research in retrieval augmented language modeling
  Project duration: 2023-10-01 – 2024-04-01
  Principal Investigator: Tobias Norlund, Chalmers tekniska högskola

• Project title: Security using AI
  Project duration: 2023-09-21 – 2024-04-01
  Principal Investigator: Ahmed Ali-Eldin Hassan, Chalmers tekniska högskola

• Project title: Developing Graph Invertible Neural Network for high-dimensional Inverse Problems (a part of AutoKval: Automatic quality assurance and process feedback in running production)
  Project duration: 2023-09-19 – 2024-04-01
  Principal Investigator: Elham Rekabi Bana, Chalmers tekniska högskola

• Project title: HUDI: Huge Complex Diagnostic Imaging Data
  Project duration: 2023-10-01 – 2024-04-01
  Principal Investigator: Jonas Lantz, Linköpings universitet

• Project title: Deep learning models for modelling genetic variation
  Project duration: 2023-09-20 – 2024-04-01
  Principal Investigator: Carl Nettelblad, Uppsala universitet

• Project title: Processing of cryo-EM data II
  Project duration: 2023-09-20 – 2024-04-01
  Principal Investigator: Karin Lindkvist, Lunds universitet