Research Projects on Berzelius

(Updated on 2024-06-12)

Project Statistics

Current Research Projects on Berzelius

• 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: High throughout prediction of toxin-antitoxin protein interfaces with AlphaFold2
  Project duration: 2023-12-02 – 2024-07-01
  Principal Investigator: Gemma Atkinson, Lunds universitet

• Project title: Robust machine learning for multimodal multitask learning
  Project duration: 2023-12-02 – 2024-07-01
  Principal Investigator: Xuan-Son Vu, Umeå universitet

• Project title: Horse Shape and Pose Capture
  Project duration: 2023-12-03 – 2024-07-01
  Principal Investigator: Hedvig Kjellström, Kungliga Tekniska högskolan

• Project title: Predicting chemotherapy sensitivity using graph neural networks based on deep mutational scanning
  Project duration: 2023-12-12 – 2024-07-01
  Principal Investigator: Antoine Honoré, Kungliga Tekniska högskolan

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

• Project title: DAIDESS
  Project duration: 2023-12-14 – 2024-07-01
  Principal Investigator: Mikael Nilsson, Lunds universitet

• Project title: Deep learning for protein research
  Project duration: 2023-12-14 – 2024-07-01
  Principal Investigator: Ingemar André, Lunds universitet

• Project title: Structural analysis of Photosystem II by cryo-EM
  Project duration: 2023-12-14 – 2024-07-01
  Principal Investigator: Wolfgang Schröder, Umeå universitet

• Project title: PReSTO Cryo-EM structural determination of GPCR dimer
  Project duration: 2023-12-14 – 2024-07-01
  Principal Investigator: Petra Båth, Göteborgs universitet

• Project title: Synthesis of pediatric brain tumor images with mass effect
  Project duration: 2023-12-15 – 2024-07-01
  Principal Investigator: Rodrigo Moreno, Kungliga Tekniska högskolan

• Project title: Deep learning for simultaneous localization and mapping
  Project duration: 2023-12-15 – 2024-07-01
  Principal Investigator: Magnus Oskarsson, Lunds universitet

• Project title: Integrating Human Feedback and LLMs in Reward Design for Autonomous Driving
  Project duration: 2023-12-20 – 2024-07-01
  Principal Investigator: Amy Loutfi, Örebro universitet

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

• Project title: LLMs Assisted Neurological Disease Diagnosis - Continuation
  Project duration: 2023-12-29 – 2024-07-01
  Principal Investigator: Danica Kragic Jensfelt, Kungliga Tekniska högskolan

• Project title: Diffusion Based Generative Models for Causal Representation Learning
  Project duration: 2023-12-29 – 2024-07-01
  Principal Investigator: Stefan Bauer, Kungliga Tekniska högskolan

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

• Project title: Machine Learning for Computer Vision
  Project duration: 2024-01-01 – 2024-07-01
  Principal Investigator: Michael Felsberg, Linköpings universitet

• Project title: Advanced 3D Perception for Environment Understanding and Representation
  Project duration: 2024-01-01 – 2024-07-01
  Principal Investigator: Patric Jensfelt, Kungliga Tekniska högskolan

• Project title: Deciphering the initial conditions and formation history of cosmic structure with deep learning
  Project duration: 2024-01-03 – 2024-08-01
  Principal Investigator: Ludvig Doeser, Stockholms universitet

• Project title: Perception for Autonomous Driving Systems
  Project duration: 2024-01-03 – 2024-08-01
  Principal Investigator: Georg Hess, Chalmers tekniska högskola

• Project title: Storage for PReSTO pilot NAISS 2023-22-811
  Project duration: 2024-01-03 – 2025-02-01
  Principal Investigator: Martin Moche, Karolinska Institutet

• Project title: CryoEM structures of P-type ATPases in lipid nanodiscs
  Project duration: 2024-01-05 – 2024-08-01
  Principal Investigator: Magnus Andersson, Umeå universitet

• Project title: FASTER-ΑΙ: Fully Autonomous Safety- and Time-critical Embedded Realization of Artificial Intelligence
  Project duration: 2024-02-01 – 2024-08-01
  Principal Investigator: Masoud Daneshtalab, Mälardalens universitet

• Project title: Reducing Bias and Stereotypes in the Output of Large Language Models
  Project duration: 2024-01-10 – 2024-08-01
  Principal Investigator: Shirin Tahmasebinotarki, Kungliga Tekniska högskolan

• Project title: Deep integrative omic auto-encoder analysis
  Project duration: 2024-01-16 – 2024-08-01
  Principal Investigator: Mika Gustafsson, Linköpings universitet

• Project title: Complex Networks, WASP PhD project
  Project duration: 2024-01-17 – 2024-08-01
  Principal Investigator: Yifei Jin, Kungliga Tekniska högskolan

• Project title: Social Complexity and Fairness in Synthetic Medical Data
  Project duration: 2024-01-17 – 2024-08-01
  Principal Investigator: Saghi Hajisharif, Linköpings universitet

• Project title: Evaluating Computation-intensive Large Language Model(LLM) and Data Mining Algorithms on Online Media Datasets.
  Project duration: 2024-01-17 – 2024-08-01
  Principal Investigator: Tianyi Zhou, Kungliga Tekniska högskolan

• Project title: DETEX
  Project duration: 2024-01-17 – 2024-08-01
  Principal Investigator: Ramon Fuentes Franco, SMHI

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

• Project title: AlphaFold predictions of proteins involved in CO2 fixation
  Project duration: 2024-01-22 – 2024-08-01
  Principal Investigator: Guillaume Gaullier, Uppsala universitet

• Project title: Maximum Entropy Diffusion Policies for Offline Reinforcement Learning
  Project duration: 2024-01-22 – 2024-08-01
  Principal Investigator: Per Mattsson, Uppsala universitet

• Project title: Massively parallel computations for piecewise invariants
  Project duration: 2024-01-22 – 2024-08-01
  Principal Investigator: Björn Wehlin, Kungliga Tekniska högskolan

• Project title: AI-driven analysis of multiplex immunofluorescence microscopy for predictive and prognostic biomarker research in non-small cell lung cancer.
  Project duration: 2024-01-30 – 2024-08-01
  Principal Investigator: Patrick Micke, Uppsala universitet

• Project title: Cryo-EM of transmembrane eukaryotic transporter
  Project duration: 2024-01-24 – 2024-08-01
  Principal Investigator: Damasus Okeke, Göteborgs universitet

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

• Project title: Understanding Chain-of-Thought reasoning in Open Source Large Language Models
  Project duration: 2024-01-24 – 2024-08-01
  Principal Investigator: Amir Hossein Akhavan Rahnama, Kungliga Tekniska högskolan

• Project title: Machine learning models for materials
  Project duration: 2024-01-29 – 2024-08-01
  Principal Investigator: Paul Erhart, Chalmers tekniska högskola

• Project title: Sim to Real: Automatic manufacturing quality inspection based on computer vision
  Project duration: 2024-01-30 – 2024-08-01
  Principal Investigator: Atsuto Maki, Kungliga Tekniska högskolan

• Project title: Protein structure prediction and AI in virtual screening
  Project duration: 2024-01-30 – 2024-08-01
  Principal Investigator: Jens Carlsson, Uppsala universitet

• Project title: Optimization Theory and Methods for Machine Learning with Applications in Neural Network Training
  Project duration: 2024-01-30 – 2024-08-01
  Principal Investigator: Alp Yurtsever, Umeå universitet

• Project title: Foundation Models for Data-driven Human Cell Simulation
  Project duration: 2024-01-30 – 2024-08-01
  Principal Investigator: Wei Ouyang, Kungliga Tekniska högskolan

• Project title: A foundation model for mass spectra of peptides
  Project duration: 2024-01-30 – 2024-08-01
  Principal Investigator: Lukas Käll, Kungliga Tekniska högskolan

• Project title: WASP-NEST Cloud Robotics
  Project duration: 2024-02-01 – 2024-08-01
  Principal Investigator: Obaidullah Zaland, Umeå universitet

• Project title: Sub-cellular Protein Localization in Human Protein Atlas
  Project duration: 2024-01-30 – 2024-08-01
  Principal Investigator: Emma Lundberg, Kungliga Tekniska högskolan

• Project title: Towards Detailed Visual Understanding via Large-scale Vision-Language Models
  Project duration: 2024-02-02 – 2024-09-01
  Principal Investigator: Fahad Khan, Linköpings universitet

• Project title: Self-supervised learning for multimodal perception systems
  Project duration: 2024-03-01 – 2024-09-01
  Principal Investigator: Carl Lindström, Chalmers tekniska högskola

• Project title: Building a Large Language Model Based Penetration Tester
  Project duration: 2024-02-02 – 2024-09-01
  Principal Investigator: Syafiq Al Atiiq, Lunds universitet

• Project title: Basecalling and methylation analysis of nanopore data
  Project duration: 2024-02-02 – 2024-09-01
  Principal Investigator: Ola Wallerman, Uppsala universitet

• Project title: Flexibility analysis on the cryo-EM data of a small protein
  Project duration: 2024-03-01 – 2024-09-01
  Principal Investigator: Szabolcs Bódizs, Uppsala universitet

• Project title: Machine-learning-aided side-channel analysis in post-quantum cryptography
  Project duration: 2024-02-12 – 2024-09-01
  Principal Investigator: Qian Guo, Lunds universitet

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

• Project title: Out-of-Distribution(OoD) Detection with Deep Generative Models(DGMs)
  Project duration: 2024-02-12 – 2024-09-01
  Principal Investigator: Yifan Ding, Linköpings universitet

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

• Project title: Diffusion models for supervised learning
  Project duration: 2024-03-01 – 2024-09-01
  Principal Investigator: Zheng Zhao, Uppsala universitet

• Project title: Deep-learning data processing for photon-counting CT
  Project duration: 2024-02-13 – 2024-09-01
  Principal Investigator: Mats Persson, Kungliga Tekniska högskolan

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

• Project title: Digital Humanities Research
  Project duration: 2024-02-14 – 2024-09-01
  Principal Investigator: Anders Hast, Uppsala universitet

• Project title: Novel AI Methods for Experimentally Constrained Protein Structure Prediction
  Project duration: 2024-03-01 – 2024-09-01
  Principal Investigator: Gabriel Ducrocq, Linköpings universitet

• Project title: Structural characterization of the leukotriene biosynthetic cascade
  Project duration: 2024-02-14 – 2024-09-01
  Principal Investigator: Jesper Haeggstrom, Karolinska Institutet

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

• Project title: Deep Learning for Image-based Localization and Mapping
  Project duration: 2024-03-01 – 2024-09-01
  Principal Investigator: Viktor Larsson, Lunds universitet

• Project title: WASP- Private Model selection for Federated Learning
  Project duration: 2024-02-15 – 2024-09-01
  Principal Investigator: Ayush Kumar Varshney, Umeå universitet

• Project title: Structural Studies of Human Transporters Using Cryo-Electron Microscopy
  Project duration: 2024-02-25 – 2024-09-01
  Principal Investigator: Linda Johansson, Göteborgs universitet

• Project title: Training large language models with single-cell genomics to learn regulatory grammar
  Project duration: 2024-03-01 – 2024-09-01
  Principal Investigator: Rickard Sandberg, Karolinska Institutet

• Project title: Deep Learning for Adaptive Continuous Care to Common Mental Health Disorders
  Project duration: 2024-03-01 – 2024-09-01
  Principal Investigator: Fabian Schmidt, Kungliga Tekniska högskolan

• Project title: Deep MultiModal Learning for Automotive Applications
  Project duration: 2024-02-25 – 2024-09-01
  Principal Investigator: Selpi Selpi, Chalmers tekniska högskola

• Project title: Tuning large language models to generate diverse and non-flaky software test-cases
  Project duration: 2024-04-01 – 2024-10-01
  Principal Investigator: Kristian Sandahl, Linköpings universitet

• Project title: Screening Extreme Conditions Materials Properties Through Coordinate Free Representations
  Project duration: 2024-02-25 – 2024-09-01
  Principal Investigator: Florian Trybel, Linköpings universitet

• Project title: Multimodal Graph Generative models for the Biomedical domain
  Project duration: 2024-03-15 – 2024-10-01
  Principal Investigator: Michail Vazirgiannis, Kungliga Tekniska högskolan

• Project title: Investigate the Relation between Robustness and Privacy
  Project duration: 2024-02-25 – 2024-09-01
  Principal Investigator: Kamran Hosseini, Linköpings universitet

• Project title: Machine learning-driven material discovery, from algorithm to novel material.
  Project duration: 2024-02-26 – 2024-09-01
  Principal Investigator: QiChen Xu, Kungliga Tekniska högskolan

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

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

• Project title: User workshop for cryo-EM data processing on Berzelius.
  Project duration: 2024-02-27 – 2024-09-01
  Principal Investigator: Tim Schulte, Stockholms universitet

• Project title: Deep Learning for 3D Computer Vision using Geometric Information and Generative Models
  Project duration: 2024-02-27 – 2024-09-01
  Principal Investigator: Fredrik Kahl, Chalmers tekniska högskola

• Project title: Cryo-EM structure determination of SLC transporters in human health and disease
  Project duration: 2024-02-27 – 2024-09-01
  Principal Investigator: Ayaan Ali, Göteborgs universitet

• Project title: Design of peptide binders towards human cancer surface receptors
  Project duration: 2024-03-01 – 2024-09-01
  Principal Investigator: Patrick Bryant, Stockholms universitet

• Project title: Document Analysis
  Project duration: 2024-02-27 – 2024-09-01
  Principal Investigator: Elisa Hope Barney Smith, Luleå tekniska universitet

• Project title: Large-Scale Spatio-Temporal Reasoning and Learning
  Project duration: 2024-03-01 – 2024-09-01
  Principal Investigator: Fredrik Heintz, Linköpings universitet

• Project title: Privacy Preserving Machine Learning Techniques
  Project duration: 2024-02-27 – 2024-09-01
  Principal Investigator: Saloni Kwatra, Umeå universitet

• Project title: Self-supervised learning-Robust Foundation Models against Robustness and Corruptions
  Project duration: 2024-02-28 – 2024-09-01
  Principal Investigator: Rajkumar Saini, Luleå tekniska universitet

• Project title: DiffusionAttack: A study of adversarial editing to stable diffusion model
  Project duration: 2024-02-28 – 2024-09-01
  Principal Investigator: Minxing Liu, Linköpings universitet

• Project title: Deep Learning for Autonomous Driving
  Project duration: 2024-03-01 – 2024-09-01
  Principal Investigator: Lars Hammarstrand, Chalmers tekniska högskola

• Project title: Robust Computer Vision
  Project duration: 2024-03-04 – 2024-10-01
  Principal Investigator: Simon Kristoffersson Lind, Lunds universitet

• Project title: A Cognitive Serverless Framework for the Cloud-Edge Continuum
  Project duration: 2024-03-04 – 2024-10-01
  Principal Investigator: Zhou Zhou, Umeå universitet

• Project title: Deep Learning for Image-based Localization and Mapping
  Project duration: 2024-03-07 – 2024-10-01
  Principal Investigator: Viktor Larsson, Lunds universitet

• Project title: DEEPMECH: Deep-learning methods to tackle outstanding problems in engineering mechanics
  Project duration: 2024-04-01 – 2024-10-01
  Principal Investigator: Ricardo Vinuesa, Kungliga Tekniska högskolan

• Project title: Management Beyond the Edge
  Project duration: 2024-04-01 – 2024-10-01
  Principal Investigator: Eunil Seo, Umeå universitet

• Project title: Evaluation of large-scale Multilingual Generative Language Models
  Project duration: 2024-03-08 – 2024-10-01
  Principal Investigator: Magnus Boman, Kungliga Tekniska högskolan

• Project title: Variational after projection calculations on GPU for exotic nuclei and nucleosynthesis
  Project duration: 2024-03-12 – 2024-10-01
  Principal Investigator: Chong Qi, Kungliga Tekniska högskolan

• Project title: Privacy Preserving Federated Learning
  Project duration: 2024-04-01 – 2024-10-01
  Principal Investigator: Sargam Gupta, Umeå universitet

• Project title: Deep learning analysis of anatomical brain connectivity in Alzheimer's disease and Ageing
  Project duration: 2024-04-01 – 2024-10-01
  Principal Investigator: Blanca Zufiria, Karolinska Institutet

• Project title: DEEPSEP - Deep reinforcement learning for active flow control in turbulent boundary layers
  Project duration: 2024-04-01 – 2024-10-01
  Principal Investigator: Ricardo Vinuesa, Kungliga Tekniska högskolan

• Project title: federated frank-wolfe
  Project duration: 2024-03-15 – 2024-10-01
  Principal Investigator: Ali Dadras, Umeå universitet

• Project title: FedMem - Predict event memorability from life-logger data
  Project duration: 2024-03-15 – 2024-10-01
  Principal Investigator: Monowar Bhuyan, Umeå universitet

• Project title: Large Scale Music AI
  Project duration: 2024-03-15 – 2024-10-01
  Principal Investigator: Nicolas Jonason, Kungliga Tekniska högskolan

• Project title: Side-Channel Analysis using Deep Learning for Post-Quantum and Symmetric Key Cryptography
  Project duration: 2024-03-18 – 2024-10-01
  Principal Investigator: Mustafa Khairallah, Lunds universitet

• Project title: Offline2Online Reinforcement Learning
  Project duration: 2024-04-01 – 2024-10-01
  Principal Investigator: Ruoqi Zhang, Uppsala universitet

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

• Project title: MultiPRESS: Deep learning for super-resolution 4D Flow MRI
  Project duration: 2024-04-01 – 2024-10-01
  Principal Investigator: David Marlevi, 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: 2024-04-01 – 2024-10-01
  Principal Investigator: Anders Hast, Uppsala universitet

• Project title: Deep learning models for modelling genetic variation
  Project duration: 2024-04-01 – 2024-10-01
  Principal Investigator: Carl Nettelblad, Uppsala universitet

• Project title: Mesoscopic unconventional superconductivity
  Project duration: 2024-03-20 – 2025-04-01
  Principal Investigator: Patric Holmvall, Uppsala universitet

• Project title: Vision-language foundation models for robotic manipultion
  Project duration: 2024-03-20 – 2024-10-01
  Principal Investigator: Sichao Liu, Kungliga Tekniska högskolan

• Project title: Deep Posterior Mean Opinion Score for Speech
  Project duration: 2024-03-25 – 2024-10-01
  Principal Investigator: Saikat Chatterjee, Kungliga Tekniska högskolan

• Project title: ProbabilisticArithmetics
  Project duration: 2024-03-21 – 2024-10-01
  Principal Investigator: Pedro Zuidberg Dos Martires, Örebro universitet

• Project title: Adaptive and reconstructive computer vision models
  Project duration: 2024-03-21 – 2024-10-01
  Principal Investigator: Hedvig Kjellström, Kungliga Tekniska högskolan

• Project title: Spatial analysis of tumor images
  Project duration: 2024-04-01 – 2024-10-01
  Principal Investigator: Anna Sandström Gerdtsson, Lunds universitet

• Project title: Computational Experiments for Generative AI Based Automatic Program Repair
  Project duration: 2024-04-01 – 2024-10-01
  Principal Investigator: He Ye, Kungliga Tekniska högskolan

• Project title: A transferable implicit transfer operator model
  Project duration: 2024-03-27 – 2024-10-01
  Principal Investigator: Simon Olsson, Chalmers tekniska högskola

• Project title: Security using AI and Looking at LLM
  Project duration: 2024-04-01 – 2024-10-01
  Principal Investigator: Ahmed Ali-Eldin Hassan, Chalmers tekniska högskola

• Project title: DL4NLP: Deep Learning for Natural Language Processing
  Project duration: 2024-04-01 – 2024-10-01
  Principal Investigator: Marco Kuhlmann, Linköpings universitet

• Project title: Graph-based, spatial, temporal, and generative machine learning
  Project duration: 2024-04-01 – 2024-10-01
  Principal Investigator: Fredrik Lindsten, Linköpings universitet

• Project title: Processing of cryo-EM data II
  Project duration: 2024-04-01 – 2024-10-01
  Principal Investigator: Karin Lindkvist, Lunds universitet

• Project title: Training and Understanding Modern Deep Networks
  Project duration: 2024-04-01 – 2024-10-01
  Principal Investigator: Hossein Azizpour, Kungliga Tekniska högskolan

• Project title: Deep Learning for the Physical World
  Project duration: 2024-04-01 – 2024-10-01
  Principal Investigator: Mårten Björkman, Kungliga Tekniska högskolan

• Project title: Towards a Fully Autonomous Pentester
  Project duration: 2024-03-28 – 2024-10-01
  Principal Investigator: Christian Gehrmann, Lunds universitet

• Project title: Self-supervised Transformer-based Representation Learning for Autonomous Vehicle Vision
  Project duration: 2024-04-01 – 2024-10-01
  Principal Investigator: Fredrik Lindsten, Linköpings universitet

• Project title: Beyond backpropagation
  Project duration: 2024-04-01 – 2024-10-01
  Principal Investigator: Rasmus Kjær Høier, Chalmers tekniska högskola

• Project title: Low-dimensional representation learning for temporal data
  Project duration: 2024-03-28 – 2024-10-01
  Principal Investigator: Daniel Gedon, Uppsala universitet

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

• Project title: Enabling Document Image Generation with Diffusion Models
  Project duration: 2024-03-28 – 2024-10-01
  Principal Investigator: Hamam Mokayed, Luleå tekniska universitet

• Project title: FunCoup
  Project duration: 2024-03-28 – 2024-10-01
  Principal Investigator: Erik Sonnhammer, Stockholms universitet

• Project title: Large language model for 6G mobile
  Project duration: 2024-04-02 – 2024-11-01
  Principal Investigator: Ming Xiao, Kungliga Tekniska högskolan

• Project title: Adversarial Robust Machine Learning
  Project duration: 2024-04-02 – 2024-11-01
  Principal Investigator: Jia Fu, Kungliga Tekniska högskolan

• Project title: Berzelius Common Datasets
  Project duration: 2024-04-05 – 2024-11-01
  Principal Investigator: Xuan Gu, Linköpings universitet

• Project title: Cryogenic electron microscopy of amyloid-beta oligomers
  Project duration: 2024-04-15 – 2024-11-01
  Principal Investigator: Andreas Barth, Stockholms universitet

• Project title: de Novo Drug Design Using Reinforcement Learning
  Project duration: 2024-04-09 – 2024-11-01
  Principal Investigator: Hampus Gummesson Svensson, Chalmers tekniska högskola

• Project title: Deep Learning Based Road Geometry Estimation
  Project duration: 2024-05-01 – 2024-11-01
  Principal Investigator: Adam Lilja, Chalmers tekniska högskola

• Project title: Breast Tomothsynthesis Diagnosis, Generation and Reconstrcution
  Project duration: 2024-05-01 – 2024-11-01
  Principal Investigator: Zhikai Yang, Kungliga Tekniska högskolan

• Project title: Using Machine Learning and Artificial Intelligent to Understand the Control of Fixational Eye Movements in Health and Disease
  Project duration: 2024-04-11 – 2024-11-01
  Principal Investigator: Yiting Wang, Karolinska Institutet

• Project title: Black-box optimization for efficient Molecular design
  Project duration: 2024-04-11 – 2024-11-01
  Principal Investigator: Carl Hvarfner, Lunds universitet

• Project title: Nutrient Regulated Control of Gene Expression
  Project duration: 2024-05-01 – 2024-11-01
  Principal Investigator: Per Ljungdahl, Stockholms universitet

• Project title: Transormers-based Indolent Lymphoma Classification
  Project duration: 2024-04-17 – 2024-11-01
  Principal Investigator: Simone Bendazzoli, Kungliga Tekniska högskolan

• Project title: Rotational Equivariance for Reinforcement Learning in Tractography
  Project duration: 2024-04-17 – 2024-11-01
  Principal Investigator: Fabian Sinzinger, Kungliga Tekniska högskolan

• Project title: Feature Representation Learning for Trajectory Clustering and Motion Estimation
  Project duration: 2024-04-22 – 2024-11-01
  Principal Investigator: Yaroslava Lochman, Chalmers tekniska högskola

• Project title: Deep image-based Adaptive Reflectance Sampling
  Project duration: 2024-04-22 – 2024-11-01
  Principal Investigator: Wen Cao, Linköpings universitet

• Project title: Predicting glucose from peripheral nerve signals
  Project duration: 2024-04-23 – 2024-11-01
  Principal Investigator: Henrik Hult, Kungliga Tekniska högskolan

• Project title: Predicting chemotherapy sensitivity using graph neural networks based on deep mutational scanning
  Project duration: 2024-04-23 – 2024-11-01
  Principal Investigator: Ming Xiao, Kungliga Tekniska högskolan

• Project title: Using federated learning and synthetic images to facilitate training of deep networks for medical images
  Project duration: 2024-04-30 – 2024-11-01
  Principal Investigator: Anders Eklund, Linköpings universitet

• Project title: AlphaFold2 prediction of the virus-host interactome
  Project duration: 2024-05-01 – 2024-11-01
  Principal Investigator: Vasili Hauryliuk, Lunds universitet

• Project title: Conformational sampling and docking with AlphaFold
  Project duration: 2024-05-01 – 2024-11-01
  Principal Investigator: Björn Wallner, Linköpings universitet

• Project title: Population Synthesis with Incomplete Information
  Project duration: 2024-04-30 – 2024-11-01
  Principal Investigator: Anders Karlström, Kungliga Tekniska högskolan

• Project title: Deep learning for morphological cell profiling
  Project duration: 2024-04-30 – 2024-11-01
  Principal Investigator: Ola Spjuth, Uppsala universitet

• Project title: Multi-Task Multi-Modal Meta learning
  Project duration: 2024-05-01 – 2024-11-01
  Principal Investigator: Marcus Liwicki, Luleå tekniska universitet

• Project title: Deep learning for prostate cancer
  Project duration: 2024-05-01 – 2024-11-01
  Principal Investigator: Eduard Chelebian Kocharyan, Uppsala universitet

• Project title: Deep Learning Approaches for Learning Inverse Mappings
  Project duration: 2024-05-01 – 2024-11-01
  Principal Investigator: Prashant Singh, Uppsala universitet

• Project title: Scaling laws under different task complexities
  Project duration: 2024-05-01 – 2024-11-01
  Principal Investigator: Kevin Smith, Kungliga Tekniska högskolan

• Project title: Berzelius Access for Training Activities
  Project duration: 2024-05-01 – 2024-11-01
  Principal Investigator: Xuan Gu, Linköpings universitet

• Project title: Long-horizon imitation learning for robotic manipulation
  Project duration: 2024-05-02 – 2024-12-01
  Principal Investigator: Yufei Duan, Kungliga Tekniska högskolan

• Project title: Grounded Language Learning for planning and acting
  Project duration: 2024-06-01 – 2024-12-01
  Principal Investigator: Martin Funkquist, Linköpings universitet

• Project title: Training Equivariant Neural Network Interatomic Potentials to Model Phase Transformations in Complex Materials
  Project duration: 2024-05-03 – 2024-12-01
  Principal Investigator: Johan Klarbring, Linköpings universitet

• Project title: PRESTO: Predictive Service Quality Management for Transport Services
  Project duration: 2024-06-01 – 2024-12-01
  Principal Investigator: Oscar Stenhammar, Kungliga Tekniska högskolan

• Project title: Learning General Policies for Planning using GNNs and Transformers
  Project duration: 2024-06-01 – 2024-12-01
  Principal Investigator: Markus Fritzsche, Linköpings universitet

• Project title: Image Denoising with Stochastic Differential Equations
  Project duration: 2024-06-01 – 2024-12-01
  Principal Investigator: Ziwei Luo, Uppsala universitet

• Project title: Modelling pathogenic mutants and protein-protein interactions of the Kv7 ion channels
  Project duration: 2024-05-03 – 2024-12-01
  Principal Investigator: Sara Liin, Linköpings universitet

• Project title: Integrating Human Feedback and LLMs in Reward Design for Autonomous Driving
  Project duration: 2024-05-11 – 2024-12-01
  Principal Investigator: Amy Loutfi, Örebro universitet

• Project title: Structure-Function studies of Photosystem II
  Project duration: 2024-05-14 – 2024-12-01
  Principal Investigator: Johannes Messinger, Uppsala universitet

• Project title: Improving SOTA for Swedish LLMs through human preference training data
  Project duration: 2024-05-14 – 2024-12-01
  Principal Investigator: Birger Moell, Kungliga Tekniska högskolan

• Project title: Structural investigations of glycan biosynthetic enzymes and blood proteins
  Project duration: 2024-06-01 – 2024-12-01
  Principal Investigator: Emil Tykesson, Lunds universitet

• Project title: Sampling Protein Sequences and Structures
  Project duration: 2024-05-14 – 2024-12-01
  Principal Investigator: Benjamin Murrell, Karolinska Institutet

• Project title: Analysis of cryo electron microscopy data with artificial intelligence
  Project duration: 2024-05-14 – 2024-12-01
  Principal Investigator: Lukas Grunewald, Uppsala universitet

• Project title: semi-lines
  Project duration: 2024-05-15 – 2024-12-01
  Principal Investigator: Johanna Engman, Lunds universitet

• Project title: Artificial Intelligence for Prostate Cancer Diagnosis and Prognostication
  Project duration: 2024-06-01 – 2024-12-01
  Principal Investigator: Martin Eklund, Karolinska Institutet

• Project title: Neuroimage analysis for Alzheimer's disease using deep learning
  Project duration: 2024-05-14 – 2024-12-01
  Principal Investigator: Hang Zhao, Göteborgs universitet

• Project title: Vehicle Behavior Prediction Using Deep Learning
  Project duration: 2024-05-15 – 2024-09-01
  Principal Investigator: Erik Frisk, Linköpings universitet

• Project title: Generative deep learning for data-centric machine learning
  Project duration: 2024-05-16 – 2024-12-01
  Principal Investigator: Gabriel Eilertsen, Linköpings universitet

• Project title: Machine learning assisted quantum computing
  Project duration: 2024-05-29 – 2024-12-01
  Principal Investigator: Mats Granath, Göteborgs universitet

• Project title: ISBcourse_2024
  Project duration: 2024-08-01 – 2024-10-01
  Principal Investigator: Cecilia Persson, Göteborgs universitet

• Project title: Cryo-EM studies of antibiotic resistance and RNA modification in bacterial ribosomes
  Project duration: 2024-06-01 – 2024-12-01
  Principal Investigator: Maria Selmer, Uppsala universitet

• Project title: Adaptive large-scale optimization of bosonic quantum information processing
  Project duration: 2024-05-30 – 2024-12-01
  Principal Investigator: Patric Holmvall, Chalmers tekniska högskola

• Project title: Property transfer to protein sequences with self-supervised learning
  Project duration: 2024-05-30 – 2024-12-01
  Principal Investigator: Aleksej Zelezniak, Chalmers tekniska högskola

• Project title: Explainable machine learning methods for data-driven risk management
  Project duration: 2024-06-01 – 2024-12-01
  Principal Investigator: Marcus Häggbom, Kungliga Tekniska högskolan

• Project title: DiffusionShield: A study of adversarial sample to protect unauthorized concept addition to stable diffusion model
  Project duration: 2024-06-01 – 2024-12-01
  Principal Investigator: Niklas Carlsson, Linköpings universitet

• Project title: Machine learning for protein structure prediction
  Project duration: 2024-06-01 – 2024-12-01
  Principal Investigator: Arne Elofsson, Stockholms universitet

• Project title: Modifying and retraining AlphaFold2 to integrate experimental information
  Project duration: 2024-06-01 – 2024-12-01
  Principal Investigator: Claudio Mirabello, Linköpings universitet

• Project title: WASP-TAD-DL4
  Project duration: 2024-06-01 – 2024-12-01
  Principal Investigator: Anindya Sundar Das, Umeå universitet