Research Projects on Berzelius

(Updated on 2024-09-16)

Project Statistics

Current Research Projects on Berzelius

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

• 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: 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

• Project title: Super-resolution neuroimages from widely accessible clinical scans
  Project duration: 2024-06-10 – 2025-01-01
  Principal Investigator: Jacob Vogel, Lunds universitet

• Project title: Modelling of transient protein-protein interactions relevant for human health
  Project duration: 2024-06-27 – 2025-07-01
  Principal Investigator: Björn Wallner, Linköpings universitet

• Project title: NBA Multimodal Video Analysis
  Project duration: 2024-06-28 – 2025-01-01
  Principal Investigator: Karol Wojtulewicz, Linköpings universitet

• Project title: MCMC for Stellar Magnetic Field Reconstruction
  Project duration: 2024-08-01 – 2025-02-01
  Principal Investigator: Jennifer Andersson, Uppsala universitet

• Project title: sim-to-real-phd
  Project duration: 2024-07-12 – 2024-10-01
  Principal Investigator: Xiaomeng Zhu, Kungliga Tekniska högskolan

• Project title: On internal representations of random neural networks
  Project duration: 2024-08-05 – 2025-03-01
  Principal Investigator: Sebastian Mair, Uppsala universitet

• Project title: Cryo-EM of transmembrane eukaryotic transporter
  Project duration: 2024-08-01 – 2025-02-01
  Principal Investigator: Damasus Okeke, Göteborgs universitet

• Project title: High-dimensional entropy estimation with applications to deep learning
  Project duration: 2024-08-01 – 2025-02-01
  Principal Investigator: Viktor Nilsson, Kungliga Tekniska högskolan

• Project title: Towards Reliable Large Vision-Language Models
  Project duration: 2024-07-21 – 2025-02-01
  Principal Investigator: Xixi Liu, Chalmers tekniska högskola

• Project title: WASP-FL-DL
  Project duration: 2024-07-30 – 2025-02-01
  Principal Investigator: Sourasekhar Banerjee, Umeå universitet

• Project title: Decoding CNS gene expression regulation
  Project duration: 2024-07-30 – 2025-02-01
  Principal Investigator: Enric Llorens, Karolinska Institutet

• Project title: Optimization Theory and Methods for Machine Learning with Applications in Neural Network Training
  Project duration: 2024-08-01 – 2025-02-01
  Principal Investigator: Alp Yurtsever, Umeå universitet

• Project title: NL2Plan: Robust LLM-Driven Planning from Minimal Text Descriptions
  Project duration: 2024-07-30 – 2024-12-01
  Principal Investigator: Elliot Gestrin, Linköpings universitet

• Project title: Protein structure prediction and AI in virtual screening
  Project duration: 2024-08-01 – 2025-02-01
  Principal Investigator: Jens Carlsson, Uppsala universitet

• Project title: Deciphering the initial conditions and formation history of cosmic structure with deep learning
  Project duration: 2024-08-01 – 2025-02-01
  Principal Investigator: Jens Jasche, Stockholms universitet

• Project title: Machine learning models for materials
  Project duration: 2024-08-01 – 2025-02-01
  Principal Investigator: Paul Erhart, Chalmers tekniska högskola

• Project title: Deep integrative omic auto-encoder analysis
  Project duration: 2024-08-01 – 2025-02-01
  Principal Investigator: Mika Gustafsson, Linköpings universitet

• Project title: Sim to Real: Automatic manufacturing quality inspection based on computer vision
  Project duration: 2024-08-01 – 2025-02-01
  Principal Investigator: Atsuto Maki, Kungliga Tekniska högskolan

• Project title: Complex Networks, WASP PhD project
  Project duration: 2024-08-01 – 2025-02-01
  Principal Investigator: Yifei Jin, Kungliga Tekniska högskolan

• Project title: Evaluating Computation-intensive Large Language Model(LLM) and Data Mining Algorithms on Online Media Datasets.
  Project duration: 2024-08-01 – 2025-02-01
  Principal Investigator: Tianyi Zhou, Kungliga Tekniska högskolan

• Project title: Machine-learning-aided side-channel analysis in post-quantum cryptography
  Project duration: 2024-09-01 – 2025-03-01
  Principal Investigator: Qian Guo, Lunds universitet

• Project title: WASP-NEST Cloud Robotics
  Project duration: 2024-08-12 – 2025-03-01
  Principal Investigator: Obaidullah Zaland, Umeå universitet

• Project title: iHorse+: improving air quality and Health risk forecasts by data-driven modelling
  Project duration: 2024-08-12 – 2024-12-01
  Principal Investigator: Xiaoliang Ma, Kungliga Tekniska högskolan

• Project title: Benchmarking Self-Supervised Representation Learning Approaches for Generalization
  Project duration: 2024-08-14 – 2025-03-01
  Principal Investigator: Karl Henrik Johansson, Kungliga Tekniska högskolan

• Project title: Novel AI Methods for Experimentally Constrained Protein Structure Prediction
  Project duration: 2024-09-01 – 2025-03-01
  Principal Investigator: Gabriel Ducrocq, Linköpings universitet

• Project title: WASP- Private Model selection for Federated Learning
  Project duration: 2024-09-01 – 2025-03-01
  Principal Investigator: Ayush Kumar Varshney, Umeå universitet

• Project title: Postdoc on Graph Neural Networks
  Project duration: 2024-08-16 – 2025-03-01
  Principal Investigator: Roman Bresson, Kungliga Tekniska högskolan

• Project title: A pilot macromolecular 3D structure determination project - Year 12
  Project duration: 2024-09-01 – 2025-09-01
  Principal Investigator: Martin Moche, Linköpings universitet

• Project title: Training large language models with single-cell genomics to learn regulatory grammar
  Project duration: 2024-09-01 – 2025-03-01
  Principal Investigator: Rickard Sandberg, Karolinska Institutet

• Project title: Vehicle Behavior Prediction Using Deep Learning
  Project duration: 2024-09-01 – 2025-03-01
  Principal Investigator: Erik Frisk, Linköpings universitet

• Project title: Data-Driven Determination of Macromolecular Structures
  Project duration: 2024-08-29 – 2025-03-01
  Principal Investigator: Nicholas Pearce, Linköpings universitet

• Project title: Sub-cellular Protein Localization in Human Protein Atlas
  Project duration: 2024-08-29 – 2025-03-01
  Principal Investigator: Emma Lundberg, Kungliga Tekniska högskolan

• Project title: Design of peptide binders towards human cancer surface receptors
  Project duration: 2024-09-01 – 2025-03-01
  Principal Investigator: Patrick Bryant, Stockholms universitet

• Project title: Towards Detailed Visual Understanding via Large-scale Vision-Language Models
  Project duration: 2024-09-01 – 2025-03-01
  Principal Investigator: Fahad Khan, Linköpings universitet

• Project title: Document Analysis
  Project duration: 2024-09-01 – 2025-03-01
  Principal Investigator: Elisa Hope Barney Smith, Luleå tekniska universitet

• Project title: Structure determination of transmembrane protein complexes
  Project duration: 2024-09-01 – 2025-03-01
  Principal Investigator: Linda Johansson, Göteborgs universitet

• Project title: DiffusionAttack: A study of adversarial editing to stable diffusion model
  Project duration: 2024-09-01 – 2025-03-01
  Principal Investigator: Minxing Liu, Linköpings universitet

• Project title: Screening Extreme Conditions Materials Properties Through Coordinate Free Representations
  Project duration: 2024-09-01 – 2025-03-01
  Principal Investigator: Florian Trybel, Linköpings universitet

• Project title: Representation Learning for Machine Learning and Robotics
  Project duration: 2024-08-29 – 2025-03-01
  Principal Investigator: Danica Kragic Jensfelt, Kungliga Tekniska högskolan

• Project title: Large-Scale Spatio-Temporal Reasoning and Learning
  Project duration: 2024-09-01 – 2025-03-01
  Principal Investigator: Fredrik Heintz, Linköpings universitet

• Project title: Learning design principles for photoinduced molecular processes from ML-enhanced quantum dynamics simulations
  Project duration: 2024-09-01 – 2025-03-01
  Principal Investigator: Nanna Holmgaard List, Kungliga Tekniska högskolan

• Project title: Deep Learning for Autonomous Driving
  Project duration: 2024-09-01 – 2025-03-01
  Principal Investigator: Lars Hammarstrand, Chalmers tekniska högskola

• Project title: Computational Experiments for Automatic Program Repair, Prof Monperrus, WASP/KTH
  Project duration: 2024-11-01 – 2025-05-01
  Principal Investigator: Martin Monperrus, Kungliga Tekniska högskolan

• Project title: Embodied AI for Autonomous Robots
  Project duration: 2024-09-06 – 2025-04-01
  Principal Investigator: Olov Andersson, Kungliga Tekniska högskolan

• Project title: Privacy Preserving Federated Learning
  Project duration: 2024-10-01 – 2025-04-01
  Principal Investigator: Sargam Gupta, Umeå universitet

• Project title: Motion inbetweening with diffusion models
  Project duration: 2024-09-10 – 2025-04-01
  Principal Investigator: Rajmund Nagy, Kungliga Tekniska högskolan

• Project title: ML/AI for securing autonomy and coordination
  Project duration: 2024-09-10 – 2025-04-01
  Principal Investigator: Sheng Liu, Kungliga Tekniska högskolan

• Project title: Perception for Autonomous Driving Systems
  Project duration: 2024-09-13 – 2025-04-01
  Principal Investigator: Georg Hess, Chalmers tekniska högskola

• Project title: Robust Computer Vision
  Project duration: 2024-10-01 – 2025-04-01
  Principal Investigator: Simon Kristoffersson Lind, Lunds universitet

• Project title: MultiPRESS: Deep learning for super-resolution 4D Flow MRI
  Project duration: 2024-10-01 – 2025-04-01
  Principal Investigator: David Marlevi, Karolinska Institutet