A Decentralized IoT Infrastructure: A comparative study
A Meta-Learning Approach for Preserving and Transferring Beneficial Behaviors in Asynchronous Multi-Agent Reinforcement Learning
A Reliable IoT Messaging Protocol Based on MQTT Standard
A decision support system for reducing false alarms in ICU
A study about the future and usability of Bio-electronic “smart” implants in humans
AGENTIC-AI TOWARDS INTERPRETATION OF SERVICE CANVAS AND AUTOMATION OF TRUSTWORTHY ML-PIPELINES
AI for sustainability management and reporting
AI-Driven Semantic Encoding for Efficient Communication
AI-driven Automotive Service Market Logistics
Adaptive Knowledge Aggregation in Asynchronous Reinforcement Learning
Adaptive Obfuscation Techniques for Privacy- Preserving Machine Learning in IoT Edge De- vices
Advanced AI based anonymization of traffic video data
Agent and object detection and classification in a warehouse setting
Air Surveillance for Airport Safety Using Autonomous Vehicles
Algorithm development for realtime route planning
Analysing Engine Performance based on Vehicle Data
Analysing comments (NLP) for Malware Analysis
Analysis of Multi-Lingual Vehicle Service Histories
Analysis of multi-machine/multi-sensor data
Analysis of ocular image synthesis for cross-spectral recognition
Analyzing Gender Bias in Pose Estimation Models
Analyzing Human Motion using Inertial Sensors
Analyzing Privacy Policies (NLP) -- Malware Analysis
Analyzing white blood cells in blood samples using deep learning techniques
Anomaly Detection for Heavy-duty Vehicles
Anomaly Detection for Predictive Maintenance with Elvaco
Anomaly Detection for Time Series using Diffusion Approaches
Anomaly Detection in Time Series Data Using Generative Models
Anomaly Detection of the Activities of the Elderly Living in the Smart Home
Anomaly detection based on seasonal daily pattern power consumption of buildings in district heating domain
Anomaly detection from IoT Time Series @AlfaLaval
Anomaly detection in district heating data - with the Elvaco company
Anomaly ranking of District Heating Substations
Article Identification for Inventory List in a Warehouse Environment
Assistance-seeking strategy for a flying robot during a healthcare emergency response
Asynchronous Federated Learning for Commercial Vehicle Fleets
Automated Inference regarding Goals in Elite Football Data
Automatic Generation of Descriptive Features for Predicting Vehicle Faults
Automatic Generation of Realtime Machine Learning Architectures
Automatic Idea Detection for controlling Healthcare-associated infections
Automatic Idea Detection from social media for Controlling and Preventing Healthcare-Associated Infections (with funding opportunity)
Automatic Machine Learning (AUTO-AUTO-ENCODER!)
Autonomous Trust and Access Control in Coalition IoBT Networks
Autonomous flying drone for vehicle classification
Autonomously discovering district heating control strategy used by buildings
Autonomy-Aware Trust Modeling in Heterogeneous IoBT - Teams​
Be The Change: Online Video Selection for Climate Change Education
Be The Change: Video Analysis for Environmental Sustainability
Behaviour Recognition for automated cars
Behaviour modeling and classification of vehicles at a roundabout
Beyond 5G baseband processing on a multicore architecture
Blockchain-Assisted Data Integrity in Eventually Consistent IoBT Systems
Body posture alignment feedback using xAI
Bowling: human motion quantification + ball quantification
Building a Knowledge-based AI Framework for Mobility
Captioning Engine for AD/ADAS data using Multi-Modal Large Language Models
Classifying heart diseases based on heart random numbers
Clock Glitch Attacks on Embedded IoT Devices: An FPGA-Based Exploration
Clustering of battery usage pattern for Electric buses
Coalition Interoperability in Multi-Domain Trust Frameworks​
Collaborative Filtering Recommendation System Location Content-based
Comparative Study on Data Abstraction Methodologies for Interoperable V2X Roadside Units (RSU)
Comparative study of an automated testing coverage for a TCP/IP stack implementation
Comprehending low-dimensional manifolds of temporal data from the home
Concept Re-identification to Explain Online Continual Learning
Conditional GAN for better embedding and generation of medical codes
Conflict-free Replicated Data Type (CRDT)-based Distributed Trust Propagation in Partitioned Networks
Consensus clustering for categorizing orthogonal vehicle operations
Constrained dynamic path planning for truck and trailer
Contactless monitoring of blood pressure using photoplethysmography
Conversational AI for Reliable Insights from Industrial Telemetry (with Alfa Laval)
Convolutional Neural Network (CNN) features behaviour in the context of textures
Convolutional Neural Network (CNN) responses when the number of classes increase
Coordinated Multi-Drone Pattern Formation with Crazyflie & Lighthouse
Courteous robot guide for visitors to an intelligent home
Cross-Spectrum Ocular Identity Recognition via Deep Learning
Data Heterogeneity in Federated Learning
Data analysis in collaboration with WirelessCar
Data mining for fault diagnostics in cyberphysical systems
Data muling services over a constellation of aircraft
Data sharing and 3D coordination control between couple of mobile robots and a drone
Data-Driven Activity Recognition and Energy Consumption Forecasting for Heavy-Duty Vehicles
Deep Active Learning for LiDAR Point Cloud Segmentation
Deep Graph Networks for Future Graph Prediction
Deep Networks for Semantic Scene Understanding
Deep Recurrent Networks for Machine Prognostics
Deep clustering for vehicle operation type
Deep feature analysis and extraction on Logged Vehicle data for the task of predictive maintenance
Deep neural network optimization for path prediction in vessels!
Design and Evaluation of an LLM-Based Travel Planner with Dynamic Event and Accommodation Data
Detecting Faults and Estimating Missing Values in Smart Meter Data
Detecting Points of Interest for Robotic First Aid
Detecting different types of machines based on usage
Detection and intention prediction of pedestrians in zebra crossings
Developing a device for rapid water quality assessment
Developing an Intelligent Data-Driven Chatbot for Enhanced Information Retrieval and Interaction
Development of surveillance methods for sterilizers
Digit recognition by lip-movements and time recursive Neural Networks
Driver Prediction for Automative Industry
Dynamic Churning-Based Logic Locking for Enhanced Hardware Security
Dynamic Trust Recalibration Based on Mission Phase and Autonomy Shifts
EXIST: sEXism Identification in Social neTworks
Effecient implementation of DL models on embedded platforms
Electrical stimulator design and development
Embedding DNN models on mobile robots for object detection
Embeded wearable sensors application at the HINT
Empowering Adult Learners and Educators through AI
Enhancing the Accuracy of CSI-Based Positioning in Massive MIMO Systems
Estimating Architectural Properties of Buildings Based on Heating Data
Ethical hacking of car-cloud communication
Evaluating Privacy Leakage Attacks on Fine-Tuned Clinical Models with Synthetic Data
Evaluating the Digital Tools for Promoting Sustainable Food Consumption
Evaluating the Effects of Social Media on Educational Sustainability in Sweden
Evaluation of JAX in AI/ML software engineering
Evaluation of Open Source Robot Simulators for Smart Mobility Applications
Evolutionary Behavior Trees for Multi-Agent Task-Oriented Environment
Explainable AI by Training Introspection
Explainable AI for predictive maintenance in collaboration with Volvo
Explainable GNNs for Security Verification of RISC-V Cores
Exploration and Mapping of Warehouse Using Quadrotor Helicopters
Exploring, modelling and optimization of home care regions
FLBench: A Comprehensive Experimental Evaluation of Federated Learning Frameworks
Face and eye categorization and detection
Fair representation learning of electronic health records
ISLAB/CAISR:Fault detection using acoustic signals through anomaly detection
Fault detection using acoustic signals through anomaly detection
Feature-wise normalization for 3D medical images
Federatad Learning (FL) improving security and privacy in tactical networks
Federated Learning Aggregation Strategies by Weight Exploration
Federated learning in automotive industry
Finding patterns/motifs in time series data
Forecast energy consumption in buildings to help Mestro customers save energy
Forecasting Industrial IoT Time Series @AlfaLaval
Foundation Models for Time Series Analysis
Gait analysis using wearable sensors in Parkinson's disease
Game-Theoretic Trust Evaluation for Objective Conflict Resolution
Generating synthetic time series data in case of data scarcity
Generative Approach for Multivariate Signals
Graph Neural Networks for Multivariate Time Series Data Analysis
Graph Neural Networks for Traffic Flow Forecasting
Graph Neural Networks for cardiovascular disease
HUMAI - Test and Demonstration of HUMan-centered AI
Hardware Security Enhancement in Cyber-Physical Systems using Deep Learning-based Anomaly Detection
Hide-and-Seek Privacy Challenge (NeurIPS 2020)
High Precision Power Use Measurement Device for Raspberry PI
Human Motion Analysis using Inertial Sensors
Human identification by handwriting of identity text
Human-in-the-loop Discovery of Interpretable Concepts in Deep Learning Models
Ice rink resurfacing system for selfdriving vehicles having spiral codes
Identification and Classification of Automotive Radar Interference using Data-driven Methods
Identify boundary or, corner test cases for AD/ADAS functions using ML in MIL and HIL environment
Identity verification of humans performing physical activities
Ideology and Power Identification in Parliamentary Debates
Improved face tracking driven by optical flow
Improved networks for cloud-car communication
Improving MEDication Adherence through Person Centered Care and Adaptive Interventions
Improving MEDication Adherence through Person Centered Care and Adaptive Interventions iMedA
Improving Time-series Generative Adversarial Networks (GANs) for Generating Electronic Health Records (EHRs)
In-Vehicle Data Acquisition for Driving Behavior Profiling and Automotive AI Applications
Incorporate behaviour modelling into AGV safety performance stack
Increase Data Rate over Error-prone networks
Integrating a new rigid-body dynamics model library with an existing whole-body controller
Intelligible patient representation for outcome prediction of congestive heart failure patients
Intrusion detection and prevention for IIoT using Ensemble Deep Network
Investigating depression signs among older adults using Swedish National Registry Data
Investigation of spread spectrum techniques to reduce the electromagnetic interference in switch mode power supply
Joint Analysis of Multimodal data on climate change for the educational purpose
Label and Barcode Detection and Location in Large Field of View
Leveraging LLM for Proactive Fault Analysis and Prediction in V2X Communication Systems
Leveraging LLMs for Clinical Note Annotation and Uncertainty Estimation
Lighting up the bicycle roads with drones
Lightweight foundation model for time series classification
Machine Learning and LeadTime Prediction
Machine Learning for Segmentation of Lensed Galaxies: Distinguishing Source Galaxies from Gravitational Lenses
Machine Learning-based optimization of physical activity
Machine Unlearning Faithfulness with XAI
Mapping SFO mitigation/Linearization algorithms, trade-off between memory and computation on GPU
Meta-learning for evaluation and implementation of predictive maintenance solution
Model Heterogeneity in Federated Learning
Model Volvo Truck Lifetime Repair History
Model behaviour of agents in a warehouse setting
Model-Based Testing of Zero-Copy Protocols
Modeling and Exploration of Self Rated Health Data using Machine Learning
Modeling patient trajectories using different representation learning techniques
Modelling Health Recommender System using Hybrid Techniques
Modelling behavior and interaction of road users in transportation systems
Modelling vehicles'/drivers' behaviour using LVD
Multi-Sensor Fusion for Semantic Scene Understanding
Multi-modal risk prediction models on osteoporotic fracture, myocaridal infarction and stroke
Multi-robot trajectory adaptation using a state-time elastic band approach
Multiband RF Rectifier for Self-Powered IoT Devices
Multitask Learning in Autonomous Driving
Multivariate Time Series Analysis with Irregularly Sampled Data
Name of the new projectEstimating agricultural development indicators over large areas from satellite images – an approach using convolutional neural networks and transfer learning
Network-assisted positioning in confined spaces using 802.11 Access Layer information
Non-Invasive Safety Monitoring via Integrated Sensing and Communication
Non-contact estimation of blood pressure using photoplethysmography
Object Detection for Autonomous Vehicles
Object Movement Prediction for Autonomous Cars
Obstacle Identification from 3D Data for AGVs in a Warehouse Environment
On control of robots in remote workspaces using lasers
On detecting deviations by autonomously discovering district heating control strategy used by buildings
On the explainability of Graph Neural Networks: an application in credit scoring
One dimensional frequency decomposition of oriented local images applied to fingerprints
Open and Realistic smart City Activities Simulator (ORCAS)
Optimisation Algorithm for Feature enginnering
Optimisation in Heavy Duty Vehicles Configuration
Optimising Energy Consumption for Ferries in Collaboration with Cetasol
Optimization of a 5G algorithm by parallelization
Optimizing Energy Consumption in Maritime Transportation with Machine Learning Methods (in collaboration with Cetasol)
Peer Group Discovery in District Heating Substations and Heat Pumps for Self-Monitoring
Piglets Detection and Counting using Deep Neural Networks
Pose & distance of toy-vehicles in front by spirals
Posture Estimation for Motorcycle Riders Using Multi-IMU Systems and Video-Based Ground Truth
Posture Estimation for Motorcycle Simulator Riders Using Remote Sensing and IMU-Based Systems
Predicting Energy Consumption for Heavy-Duty Vehicles (in collaboration with Volvo)
Predicting Energy Consumption for Heavy-Duty Vehicles via Time Series Embeddings (in collaboration with Volvo)
Predicting Unit Behavior in Tactical Scenarios Using Deep Learning
Predicting electricity generation capacity in solar and wind power plants based on meteorological data using machine learning algorithms
Predicting the status of machines with vibration data
Prediction of neurodegenerative disorders based on brain images
Prioritize informative structures in 3D brain images
Privacy-Preserved Generator for Generating Synthetic EHR data
Profiling ML Side-Channel on CiM for Input Reconstruction
Project Related to FeelAI -Collaboration with Volvo AMT
Protecting bikers in traffic by computer vision
Protein Language Models for drug discovery
Prototype Aligned Embedding for Time Series Forecasting
Quantifying exercise-induced muscle fatigue by machine learning
Quantum Machine Learning models for predicting disease
RAQUEL Robot Assisted QUiz Espying of Learners
Real-time Motion Analysis using Inertial Sensors
Real-time flow compression for TCP and QUIC at the network edge
Recognition of Human Intentions for Automated Cars
Recognition of logotypes and signs in photos
Reconfigurable Orbital angular momentum (OAM) antenna for High-Speed Wireless Communications
Recurrent and Deep Learning for Machine Prognostics
Reinforcement Learning applied in mobile health application for hypertion
Reinforcement Learning with Adaptive Representation Learning
Reinforcement learning for End-to-End autonomous driving
Reliability Analysis and Assessment of Multi- Core System-on-Chip through Transaction Pro- filing and Machine Learning
Replacements vs repairs. What is really a breakdown from the point of view of the data?
Representation Learning for Deviation Detection
Representation Learning for Fault Detection and Prognosis
Representation of Complex Data Types for Machine Learning
Resilience of ML Hardware Accelerators Against Accuracy Degrading Trojans
Resilient Recovery: A Byzantine Fault Tolerance (BFT) Framework for Tactical Mesh Networks
Resolving Class Imbalance using Generative Adversarial Networks
Robotics for Urban Traffic Support: Design, Prototyping, and Intelligent Interaction in Smart Cities
SCANIA Project: Graph neural networks for anomaly detection
Safe deployment of Deep Neural Networks in automotive engineering
Safety Assurance in Critical Automotive Control Systems: A Human-Centric and Standards-Compliant Approach
Safety assurance for human in automated crane environment
Sailboat Motion Planning using the Level-Set Method
Scalable Standardized Information Extraction from Free-Text Electronic Health Records
Secure Hardware Accelerators for Machine Learning: Design, Evaluation, and Mitigation of Vulnerabilities
Secure IP Core Design Through LLM-Driven Logic Locking
Secure Key Management for Partitioned IoBT Environments
Securing Internet of Autonomous Vehicles with Light-weight Authentication
Securing Multi-Processor System-on-Chips: Assessing Vulnerabilities to Hardware Trojans Through Thermal Profiles
Security Vulnerabilities in Multi-Model Computing-in-Memory Systems
Security analysis of IIoT connectivity protocols
Segment Routing based on Geographic Checkpoints
Segment-based coordination of Congestion Control
Segmentation and object identification in warehouse environments using machine learning
Self-adaptive Recommender System In Conditional Context
Semantic Analysis of 2D Maps With a Metric-Topological Approach
Semi-supervised deep learning model to optimally charge and discharge the batteries of electric cars and balance distribution of electrical energy in the power grid
Sensitivity‑Aware Hardening and Run‑Time Detection of Stealthy Weight‑Drift Trojans in ML Accelerators
Sensor fusion and machine learning for drone detection and classification
Service Centric Mobility Management in LEO Constellations
SimpleText: Automatic Simplification of Scientific Texts
Simulating Crowds for Traffic Safety Research
Simulating cyber attacks and countermeasures using Cyber Operations Research Gym (CybORG)
Smart City Monitoring Using Ontology-based Machine Learning
Speaker/speech recognition and engagement
Supervised/Unsupervised Electricity Customer Classification
Surface normal estimation by Spiral Codes
Tabular Health Data Under Attack: Benchmarking Privacy Risks and Defenses
The effect of a mixed-capability vehicular fleet on Vulnerable Road User safety
The effect of contextual information on fuel consumption using Explainable AI!
The healthcare data mining with advance AI technology
Thermal Detection of Subtle Human Cues for a Robot Magic Performance
Thermal Profiling of Residential Energy Consumption for Heat Pump and District Heating Customers
Thesis in connection with KEEPER project
Time Series Motif/Discord Discovery Under Context
Time series anomaly detection for Heavy-duty vehicles (in collaboration with Volvo)
Time series anomaly detection for heavy-duty vehicles
Timeseries XAI in Cybersecurity and Industry
Timeseries representation learning for EHR
Towards robustness of post hoc Explainable AI methods
Trajectory prediction algorithms for intention sharing in Micromobility
Transfer Learning by Selection of Invariant Features
Transfer Learning for Machine Diagnosis and Prognosis
Transfer Learning for Machine Diagnostics and Prognostics
Ultra-wideBand Antenna Array for Vehicular Communication
Uncertainty quantification for data driven clinical decision making
Understand Patterns in Volvo Truck Lifetime Repair History
Understanding Applicability of Echo State Networks to Diverse Industrial Data
Using Deep Q-Learning (Alpha-Go algorithm) to solve routing problems in warehouse logistics
Utilization of Foundation Models for Federated Learning
V2X Intention Sharing for E-Bikes and E-Scooters
Value of BIG DATA for Large Building Owners
Virtual reality to support traffic safety
Visual Transformers for 3D medical images Classification: use-case neurodegenerative disorders
Visual analysis for infotainment in car interiors
Wideband Dielectric Resonator Antenna Array for Autonomous Vehicles
Wisdom of the crowd, is there a single crowd?
Workshop Automation together with Volvo Group
XAI for time series data - collaboration with the mathematics and statistics dept. of the University of West Florida
Zero-Shot Learning for Semantic Segmentation