Research Projects on Berzelius

(Updated on 2025-04-02)

Project Statistics

Current Research Projects on Berzelius

• 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: Deep Learning Based Road Geometry Estimation
  Project duration: 2024-11-01 – 2025-05-01
  Principal Investigator: Adam Lilja, Chalmers tekniska högskola

• Project title: Exploring Grokking using the LEMBAS Framework
  Project duration: 2024-10-04 – 2025-05-01
  Principal Investigator: Avlant Nilsson, Karolinska Institutet

• Project title: Berzelius Common Datasets
  Project duration: 2024-11-01 – 2025-05-01
  Principal Investigator: Xuan Gu, Linköpings universitet

• Project title: Generative models for visual storytelling
  Project duration: 2024-10-06 – 2025-05-01
  Principal Investigator: Daniel Jönsson, Linköpings universitet

• Project title: Safe and Secure Federated Reinforcement learning
  Project duration: 2024-10-06 – 2025-05-01
  Principal Investigator: Arunava Naha, Linköpings universitet

• Project title: Multimodal Graph Generative models for the Biomedical domain
  Project duration: 2024-10-08 – 2025-05-01
  Principal Investigator: Michail Vazirgiannis, Kungliga Tekniska högskolan

• Project title: Architecturs for learning temporal data
  Project duration: 2024-10-08 – 2025-05-01
  Principal Investigator: Daniel Gedon, Uppsala universitet

• Project title: Deep learning for morphological cell profiling
  Project duration: 2024-11-01 – 2025-05-01
  Principal Investigator: Ola Spjuth, Uppsala universitet

• Project title: Next-Token Prediction for Planning - Training and Applications
  Project duration: 2024-10-08 – 2025-05-01
  Principal Investigator: Jendrik Seipp, Linköpings universitet

• Project title: Predicting chemotherapy sensitivity using graph neural networks based on deep mutational scanning
  Project duration: 2024-11-01 – 2025-05-01
  Principal Investigator: Ming Xiao, Kungliga Tekniska högskolan

• Project title: AlphaFold2 prediction of the virus-host interactome
  Project duration: 2024-11-01 – 2025-05-01
  Principal Investigator: Vasili Hauryliuk, Lunds universitet

• Project title: ST-BERT
  Project duration: 2024-10-15 – 2025-05-01
  Principal Investigator: Sanja Vickovic, Uppsala universitet

• Project title: Zero-Shot Mutli-Object Tracking and Identification
  Project duration: 2024-10-21 – 2025-05-01
  Principal Investigator: Niklas Carlsson, Linköpings universitet

• Project title: Social Complexity and Fairness in Synthetic Medical Data
  Project duration: 2024-10-28 – 2025-05-01
  Principal Investigator: Saghi Hajisharif, Linköpings universitet

• Project title: Multi-Task Multi-Modal Meta learning
  Project duration: 2024-11-01 – 2025-05-01
  Principal Investigator: Marcus Liwicki, Luleå tekniska universitet

• Project title: Deep learning based species identification of bacteria using time-lapse of growth in microfluidic chip imaged by phase contrast microscopy
  Project duration: 2024-10-23 – 2025-10-01
  Principal Investigator: Anders Hast, Uppsala universitet

• Project title: Foundation model adaptation
  Project duration: 2024-11-01 – 2025-05-01
  Principal Investigator: Kevin Smith, Kungliga Tekniska högskolan

• Project title: Conformational sampling and docking with AlphaFold
  Project duration: 2024-11-01 – 2025-05-01
  Principal Investigator: Björn Wallner, Linköpings universitet

• Project title: PRESTO: Predictive Service Quality Management for Transport Services
  Project duration: 2024-12-01 – 2025-06-01
  Principal Investigator: Oscar Stenhammar, Kungliga Tekniska högskolan

• Project title: Image Denoising with Stochastic Differential Equations
  Project duration: 2024-12-01 – 2025-06-01
  Principal Investigator: Ziwei Luo, Uppsala universitet

• Project title: AI driven design of complex structured materials for wearable cooling
  Project duration: 2024-11-12 – 2025-06-01
  Principal Investigator: Ricardo Vinuesa, Kungliga Tekniska högskolan

• Project title: Medical image analysis at the Biomedical Imaging Division at KTH
  Project duration: 2024-11-18 – 2025-06-01
  Principal Investigator: Rodrigo Moreno, Kungliga Tekniska högskolan

• Project title: Characterising macromolecular interactions with artificial intelligence and cryo-EM
  Project duration: 2024-11-27 – 2025-06-01
  Principal Investigator: Erik Lindahl, Kungliga Tekniska högskolan

• Project title: Explainable machine learning methods for data-driven risk management
  Project duration: 2024-12-01 – 2025-06-01
  Principal Investigator: Marcus Häggbom, Kungliga Tekniska högskolan

• Project title: WASP-TAD-DL5
  Project duration: 2024-12-01 – 2025-06-01
  Principal Investigator: Anindya Sundar Das, Umeå universitet

• Project title: AI for Wildflower Identification and Classification
  Project duration: 2024-11-27 – 2025-06-01
  Principal Investigator: Derya Akbaba, Linköpings universitet

• Project title: TinyML - Document Analysis
  Project duration: 2024-11-27 – 2025-06-01
  Principal Investigator: Hui Han, Luleå tekniska universitet

• Project title: Modifying and retraining AlphaFold2 to integrate experimental information
  Project duration: 2024-12-01 – 2025-06-01
  Principal Investigator: Claudio Mirabello, Linköpings universitet

• Project title: MARS: Multi-Agent Representation learning for Sports data
  Project duration: 2024-11-29 – 2025-06-01
  Principal Investigator: Atsuto Maki, Kungliga Tekniska högskolan

• Project title: Dual-Arm Robotic Transformer Models
  Project duration: 2024-11-29 – 2025-06-01
  Principal Investigator: Volker Krueger, Lunds universitet

• Project title: PReSTO Cryo-EM setup and testing on Berzelius 2025
  Project duration: 2024-11-29 – 2025-06-01
  Principal Investigator: Martin Moche, Karolinska Institutet

• Project title: Artificial Intelligence for Prostate Cancer Diagnosis and Prognostication
  Project duration: 2024-12-01 – 2025-06-01
  Principal Investigator: Kimmo Kartasalo, Karolinska Institutet

• Project title: DiffusionShield: A study of adversarial sample to protect unauthorized concept addition to stable diffusion model
  Project duration: 2024-12-01 – 2025-06-01
  Principal Investigator: Niklas Carlsson, Linköpings universitet

• Project title: Learning General Policies for Planning using GNNs and Transformers
  Project duration: 2024-12-01 – 2025-06-01
  Principal Investigator: Markus Fritzsche, Linköpings universitet

• Project title: Scalable Zero-Shot Reinforcement Learning
  Project duration: 2024-11-30 – 2025-06-01
  Principal Investigator: Stefan Stojanovic, Kungliga Tekniska högskolan

• Project title: Deep learning for protein research
  Project duration: 2025-01-01 – 2025-07-01
  Principal Investigator: Ingemar André, Lunds universitet

• Project title: Adaptive large-scale optimization of bosonic quantum information processing
  Project duration: 2024-12-10 – 2025-07-01
  Principal Investigator: Patric Holmvall, Uppsala universitet

• Project title: Perception for Autonomous Vehicles
  Project duration: 2025-01-01 – 2025-07-01
  Principal Investigator: John Folkesson, Kungliga Tekniska högskolan

• Project title: High throughout prediction of toxin-antitoxin protein interfaces with AlphaFold2
  Project duration: 2025-01-01 – 2025-07-01
  Principal Investigator: Gemma Atkinson, Lunds universitet

• Project title: Efficient studies of large-scale topological and unconventional superconductors
  Project duration: 2025-01-01 – 2025-07-01
  Principal Investigator: Annica Black-Schaffer, Uppsala universitet

• Project title: Advanced 3D Perception for Environment Understanding and Representation
  Project duration: 2025-01-01 – 2025-07-01
  Principal Investigator: Patric Jensfelt, Kungliga Tekniska högskolan

• Project title: Machine Learning for Computer Vision
  Project duration: 2025-01-01 – 2025-07-01
  Principal Investigator: Michael Felsberg, Linköpings universitet

• Project title: Synthetic high-dimensional cohorts for studies of neurodegenerative diseases
  Project duration: 2024-12-19 – 2025-07-01
  Principal Investigator: Niklas Mattsson-Carlgren, Lunds universitet

• Project title: Super-resolution neuroimages from widely accessible clinical scans
  Project duration: 2025-01-03 – 2025-07-01
  Principal Investigator: Jacob Vogel, Lunds universitet

• Project title: MCMC for Stellar Magnetic Field Reconstruction
  Project duration: 2025-02-01 – 2025-07-01
  Principal Investigator: Jennifer Andersson, Uppsala universitet

• Project title: Analyzing cryo electron microscopy data with artificial intelligence
  Project duration: 2025-01-13 – 2025-08-01
  Principal Investigator: Anna-Lena Fischer, Uppsala universitet

• Project title: Isoperimetry in deep and reinforcement learning
  Project duration: 2025-01-13 – 2025-08-01
  Principal Investigator: Emilio Jorge, Chalmers tekniska högskola

• Project title: Integrative Analysis of Quantitative Trait Loci
  Project duration: 2025-01-22 – 2025-08-01
  Principal Investigator: Wen Zhong, Linköpings universitet

• Project title: Predicting Bacterial Surface Proteins Using Machine Learning
  Project duration: 2025-01-22 – 2025-08-01
  Principal Investigator: Astrid von Mentzer, Göteborgs universitet

• Project title: Thinking Fast and Slow: Real-time Speech Generation for Conversational AI
  Project duration: 2025-02-01 – 2025-08-01
  Principal Investigator: Nikita Torgashov, Kungliga Tekniska högskolan

• Project title: Sim2Real REvolve using LLMs
  Project duration: 2025-01-27 – 2025-08-01
  Principal Investigator: Amy Loutfi, Örebro universitet

• Project title: Machine learning for protein structure prediction
  Project duration: 2025-02-01 – 2025-08-01
  Principal Investigator: Arne Elofsson, Stockholms universitet

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

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

• Project title: Generative deep learning for data-centric machine learning
  Project duration: 2025-01-28 – 2025-08-01
  Principal Investigator: Gabriel Eilertsen, Linköpings universitet

• Project title: Foundation Models for Data-driven Human Cell Simulation
  Project duration: 2025-02-01 – 2025-08-01
  Principal Investigator: Wei Ouyang, Kungliga Tekniska högskolan

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

• Project title: Representation Learning for Computer Vision
  Project duration: 2025-02-01 – 2025-08-01
  Principal Investigator: Atsuto Maki, Kungliga Tekniska högskolan

• Project title: WASP-FL-DL
  Project duration: 2025-02-01 – 2025-08-01
  Principal Investigator: Sourasekhar Banerjee, Umeå universitet

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

• Project title: Analysis of cryo electron microscopy data with artificial intelligence
  Project duration: 2025-01-31 – 2025-08-01
  Principal Investigator: Lukas Grunewald, Uppsala universitet

• Project title: Geometric Deep Learning for Computer Vision
  Project duration: 2025-03-01 – 2025-09-01
  Principal Investigator: Georg Bökman, Chalmers tekniska högskola

• Project title: Flow matching for super resolution microscopy
  Project duration: 2025-02-12 – 2025-09-01
  Principal Investigator: Juliette Griffie, Stockholms universitet

• Project title: Evaluating Computation-intensive Large Language Model(LLM) and Data Mining Algorithms on Online Media Datasets.
  Project duration: 2025-02-12 – 2025-09-01
  Principal Investigator: Tianyi Zhou, Kungliga Tekniska högskolan

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

• Project title: WASP-NEST Cloud Robotics
  Project duration: 2025-03-01 – 2025-09-01
  Principal Investigator: Obaidullah Zaland, Umeå universitet

• Project title: Using a combination of RF diffusion and AF_unmasked for de novo antibody design
  Project duration: 2025-02-28 – 2025-09-01
  Principal Investigator: Marta Carroni, Stockholms universitet

• Project title: Robust and scalable forward and inverse learning
  Project duration: 2025-02-14 – 2025-09-01
  Principal Investigator: Prashant Singh, Uppsala universitet

• Project title: Exploration of dark microbial proteomes
  Project duration: 2025-02-18 – 2025-09-01
  Principal Investigator: Courtney Stairs, Lunds universitet

• Project title: High-Resolution Structural Analysis of Mitoribosomes in Complex with LRPPRC-SLIRP, MTIF2, and EF-Tu
  Project duration: 2025-02-18 – 2025-09-01
  Principal Investigator: Vlad-Julian Piljukov, Karolinska Institutet

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

• Project title: Can microbes distinguish friend from foe?
  Project duration: 2025-02-18 – 2025-09-01
  Principal Investigator: Laura Carroll, Umeå universitet

• Project title: Machine learning assisted quantum computing
  Project duration: 2025-02-19 – 2025-09-01
  Principal Investigator: Mats Granath, Göteborgs universitet

• Project title: Generative AI and foundation models for atypical femur fractures
  Project duration: 2025-02-19 – 2025-09-01
  Principal Investigator: Anders Eklund, Linköpings universitet

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

• Project title: Computational Experiments for Automatic Program Repair, Prof Monperrus, WASP/KTH
  Project duration: 2025-03-01 – 2025-09-01
  Principal Investigator: Martin Monperrus, Kungliga Tekniska högskolan

• Project title: Selective structured state-space models for ECG classification
  Project duration: 2025-02-24 – 2025-09-01
  Principal Investigator: Thomas Schön, Uppsala universitet

• Project title: Detecting Sybil and Fake Users in mobile crowdsensing systems
  Project duration: 2025-02-24 – 2025-09-01
  Principal Investigator: Cihan Eryonucu, Kungliga Tekniska högskolan

• Project title: LLM Test Generation
  Project duration: 2025-02-24 – 2025-09-01
  Principal Investigator: Qunying Song, University College London

• Project title: On internal representations of random neural networks
  Project duration: 2025-03-01 – 2025-09-01
  Principal Investigator: Sebastian Mair, Linköpings universitet

• Project title: Role of GTPases in human mitoribosome assembly
  Project duration: 2025-02-27 – 2025-09-01
  Principal Investigator: Vivek Singh, Karolinska Institutet

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

• Project title: Universal design of peptide binders for therapeutic and diagnostic modalities
  Project duration: 2025-03-01 – 2025-09-01
  Principal Investigator: Patrick Bryant, Stockholms universitet

• Project title: Modifying and retraining AlphaFold2 to integrate experimental information
  Project duration: 2025-02-28 – 2025-09-01
  Principal Investigator: Claudio Mirabello, Linköpings universitet

• Project title: ML Workloads Allocation for CloudRobotics WASP-NEST Continuation
  Project duration: 2025-03-01 – 2025-09-01
  Principal Investigator: Florian Pokorny, Kungliga Tekniska högskolan

• Project title: Representation Learning for Machine Learning and Robotics
  Project duration: 2025-03-01 – 2025-09-01
  Principal Investigator: Danica Kragic Jensfelt, Kungliga Tekniska högskolan

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

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

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

• Project title: Alpha Cell
  Project duration: 2025-02-28 – 2025-09-01
  Principal Investigator: Adil Mardinoglu, Kungliga Tekniska högskolan

• Project title: Novel AI Methods for Experimentally Constrained Protein Structure Prediction
  Project duration: 2025-03-04 – 2025-10-01
  Principal Investigator: Gabriel Ducrocq, Linköpings universitet

• Project title: WASP- Machine Unlearning in Generative AI
  Project duration: 2025-03-04 – 2025-10-01
  Principal Investigator: Ayush Kumar Varshney, Umeå universitet

• Project title: Optimization Theory and Methods for Machine Learning with Applications in Neural Network Training
  Project duration: 2025-03-04 – 2025-10-01
  Principal Investigator: Alp Yurtsever, Umeå universitet

• Project title: Training large language models with single-cell genomics to learn regulatory grammar
  Project duration: 2025-03-04 – 2025-10-01
  Principal Investigator: Rickard Sandberg, Karolinska Institutet

• Project title: Complex Networks, WASP PhD project
  Project duration: 2025-03-04 – 2025-10-01
  Principal Investigator: Yifei Jin, Kungliga Tekniska högskolan

• Project title: Deep Learning for Adaptive Continuous Care to Common Mental Health Disorders
  Project duration: 2025-03-05 – 2025-10-01
  Principal Investigator: Fabian Schmidt, Kungliga Tekniska högskolan

• Project title: HUDI: Huge Complex Diagnostic Imaging Data
  Project duration: 2025-04-01 – 2025-10-01
  Principal Investigator: Jonas Lantz, Linköpings universitet

• Project title: Deep learning models for modelling genetic variation
  Project duration: 2025-04-01 – 2025-10-01
  Principal Investigator: Carl Nettelblad, Uppsala universitet

• Project title: Towards the fast inference of Diffusion Models for Games
  Project duration: 2025-03-12 – 2025-10-01
  Principal Investigator: Ruoqi Zhang, Uppsala universitet

• Project title: Evaluating Audio Foundation Models through Paralinguistic, Extralinguistic and Non-speech Vocalization prompts
  Project duration: 2025-03-12 – 2025-10-01
  Principal Investigator: Shree Harsha Bokkahalli Satish, Kungliga Tekniska högskolan

• Project title: A foundation model for mass spectra of peptides
  Project duration: 2025-03-12 – 2025-10-01
  Principal Investigator: Lukas Käll, Kungliga Tekniska högskolan

• Project title: Sub-cellular Protein Localization in Human Protein Atlas
  Project duration: 2025-03-12 – 2025-10-01
  Principal Investigator: Emma Lundberg, Kungliga Tekniska högskolan

• Project title: Deep learning for design of novel spider silk proteins
  Project duration: 2025-03-15 – 2025-10-01
  Principal Investigator: Johan Reimegård, Uppsala universitet

• Project title: Safeguarding Federated Learning-based Autonomous Driving
  Project duration: 2025-04-01 – 2025-10-01
  Principal Investigator: Sheng Liu, Kungliga Tekniska högskolan

• Project title: Prosodic similarity representation
  Project duration: 2025-03-19 – 2025-10-01
  Principal Investigator: Livia Qian, Kungliga Tekniska högskolan

• Project title: Efficient Neural Symbolic Reasoning with Large Language Model
  Project duration: 2025-03-19 – 2025-10-01
  Principal Investigator: Yue Nick Zhongqi, Chalmers tekniska högskola

• Project title: Multimodal deep learning
  Project duration: 2025-05-01 – 2025-11-01
  Principal Investigator: Ekta Vats, Uppsala universitet

• Project title: Sparse and Quantized visual graph attention networks for efficient and resilient image understanding
  Project duration: 2025-03-20 – 2025-10-01
  Principal Investigator: Jose Nunez-yanez, Linköpings universitet

• Project title: Studying permutation-invariant graph representation learning and graph generation
  Project duration: 2025-03-21 – 2025-10-01
  Principal Investigator: Roman Bresson, Kungliga Tekniska högskolan

• Project title: Deep Learning Models of Cancer Mechanisms
  Project duration: 2025-03-21 – 2025-10-01
  Principal Investigator: Avlant Nilsson, Karolinska Institutet

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

• Project title: Management Beyond the Edge
  Project duration: 2025-04-01 – 2025-10-01
  Principal Investigator: Eunil Seo, Umeå universitet

• Project title: Deep learning for protein - DNA binding predictions
  Project duration: 2025-03-24 – 2025-10-01
  Principal Investigator: Emil Marklund, Stockholms universitet

• Project title: Deep Learning for Image-based Localization and Mapping
  Project duration: 2025-04-01 – 2025-10-01
  Principal Investigator: Viktor Larsson, Lunds universitet

• Project title: Self-supervised Transformer-based Representation Learning for Autonomous Vehicle Vision
  Project duration: 2025-04-01 – 2025-10-01
  Principal Investigator: Fredrik Lindsten, Linköpings universitet

• Project title: Graph-based, spatial, temporal, and generative machine learning
  Project duration: 2025-04-01 – 2025-10-01
  Principal Investigator: Fredrik Lindsten, Linköpings universitet

• Project title: Training and Understanding Modern Deep Networks
  Project duration: 2025-04-01 – 2025-10-01
  Principal Investigator: Hossein Azizpour, Kungliga Tekniska högskolan

• Project title: DL4NLP: Deep Learning for Natural Language Processing
  Project duration: 2025-04-01 – 2025-10-01
  Principal Investigator: Marco Kuhlmann, Linköpings universitet

• Project title: Modeling Part-whole Hierarchies with Object-Centric Learning
  Project duration: 2025-03-31 – 2025-10-01
  Principal Investigator: Karl Henrik Johansson, Kungliga Tekniska högskolan

• Project title: WASP-NEST-AIR2
  Project duration: 2025-04-01 – 2025-10-01
  Principal Investigator: Yinuo Zhang, Umeå universitet

• Project title: Datasets for Autonomous Driving
  Project duration: 2025-04-01 – 2025-10-01
  Principal Investigator: Lennart Svensson, Chalmers tekniska högskola

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

• Project title: Deep Learning for the Physical World
  Project duration: 2025-04-01 – 2025-10-01
  Principal Investigator: Mårten Björkman, Kungliga Tekniska högskolan