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List of results

• Anomaly detection from IoT Time Series @AlfaLaval  + (Anomaly detection from IoT Time Series @AlfaLaval)
• Meta-learning for Multivariate Signals  + (Apply meta-learning algorithms to unlabelled time-series data to solve machine activity recognition problems.)
• Article Identification for Inventory List in a Warehouse Environment  + (Article Identification for Inventory List in a Warehouse Environment)
• Assistance-seeking strategy for a flying robot during a healthcare emergency response  + (Assistance-seeking strategy for a flying robot during a healthcare emergency response)
• Automated Inference regarding Goals in Elite Football Data  + (Automated Inference regarding Goals in Elite Football Data)
• Automatic Generation of Descriptive Features for Predicting Vehicle Faults  + (Automatic Generation of Descriptive Features for Predicting Vehicle Faults)
• SimpleText: Automatic Simplification of Scientific Texts  + (Automatic Simplification of Scientific Texts)
• Automatic Machine Learning (AUTO-AUTO-ENCODER!)  + (Automatic configuration algorithm for autoencoders)
• Analysis of Multi-Lingual Vehicle Service Histories  + (Automatic translation and similarity evaluation of multi-lingual natural text descriptions of vehicle repair and maintenance operations)
• Behaviour Recognition for automated cars  + (Behaviour Recognition for automated cars)
• Thesis together with DirSys  + (Better risk management with quantitative risk analysis)

• BD prediction  + (Big data approach to predictive maintenance)

• Vehicular Network Graphical Interface  + (Build a graphical tool in python for plotting vehicular networks)
• Blockchain-Assisted Data Integrity in Eventually Consistent IoBT Systems  + (Build a lightweight blockchain or distributed ledger tailored for IoBT that ensures post-partition reconciliation and prevents data tampering.)
• Acumen Robot Model Series  + (Build a series of increasingly sophisticated robot models in Acumen, to (1) explore mathematical formulations and (2) create tutorials and didactic examples.)
• Mixed-Reality Robot Platform  + (Build foundations for our mixed-reality platform by integrating and demonstrating an extensible system with one or more robots, a simulator, some offboard sensors, and simple teleoperation.)
• Autonomous flying drone for vehicle classification  + (Building an autonomous flying drone for vehicle classification)
• Hide-and-Seek Privacy Challenge (NeurIPS 2020)  + (Building novel methods for privacy-preserving data sharing and/or re-identification)
• Reinforcement learning for End-to-End autonomous driving  + (By using image data as input, and the vehicle steering and acceleration as output control signals, investigate how machine learning can control a vehicle.)
• Enhancing the Accuracy of CSI-Based Positioning in Massive MIMO Systems  + (CSI-Based Positioning in Massive MIMO Systems)
• Multi-modal Weather type Classifier  + (Camera, LiDAR, and Radar based weather type classification using deep neural networks on the K-RADAR dataset)
• Evaluation of Open Source Robot Simulators for Smart Mobility Applications  + (Can open source robot simulators serve as starting point for cloud services that support automotive R&D and V&V?)
• Robot Artwork  + (Capability for a robot to paint to express human feelings)
• Model-Based Testing of Zero-Copy Protocols  + (Challenges in Model-Based Testing of Zero-Copy Protocols)
• Representation Learning for Fault Detection and Prognosis  + (Characterise the observed system using representation learning techniques, for fault detection and remaining useful life prediction)
• Chess playing humanoid robot by vision  + (Chess playing humanoid robot by vision)
• Chess playing humanoid robots by vision  + (Chess playing humanoid robot by vision)
• Vehicle Operation Classification  + (Classify modes of operation of Volvo vehicles based on on-board data)
• Browser Extensions Updates  + (Clustering and analyzing browser extensions by update frequency)
• Clustering of battery usage pattern for Electric buses  + (Clustering of battery usage pattern for Electric buses)
• Hydro Power Station  + (Collaboration with Ålberga Bruk 1919)
• Robot Cooking  + (Common sense for a robot to cook healthy food)
• Human Motion Analysis using Inertial Sensors  + (Compare and evaluate accelerometer and gyroscopes for analyzing human motion in real-world applications.)
• A Decentralized IoT Infrastructure: A comparative study  + (Compare different solutions for building a decentralised IoT platform)
• AI for sustainability management and reporting  + (Connect AI models to sustainability / ESG (social, environmental, and governance) to enable automated processing related to EU sustainability regulations.)
• Constrained dynamic path planning for truck and trailer  + (Constrained dynamic path planning for truck and trailer)
• Recurrent and Deep Learning for Machine Prognostics  + (Construct and optimise Recurrent Neural Networks for industrial applications on machine prognostics; Augmenting industrial data for supervised learning)