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List of results

• Adaptive warning field system  + (Adaptive warning field system)

• Data Heterogeneity in Federated Learning  + (Addressing the challenges of data imbalance in Federated Learning)
• Advanced AI based anonymization of traffic video data  + (Advanced AI based anonymization of traffic video data (with Viscando and Berge))
• Air Surveillance for Airport Safety Using Autonomous Vehicles  + (Air Surveillance for Airport Safety Using Autonomous Vehicles)
• Speaker/speech recognition and engagement  + (Algorithms, sensors and devices for recognizing speaker as well as spoken words and engagement from an arbitrary number of people in a conversation)
• Modeling and Exploration of Self Rated Health Data using Machine Learning  + (An analysis of self rated health data)
• Analysing comments (NLP) for Malware Analysis  + (Analysing the comments of users in the WebStore to look for malware patterns)
• Be The Change: Video Analysis for Environmental Sustainability  + (Analysis of online climate change video contents and identification of video features rendering a video ‘effective’ using machine learning techniques)
• Evaluation of JAX in AI/ML software engineering  + (Analysis of the benefits of JAX (and/or similar solutions) in terms of performance, development time, module reusability, etc.)
• Collaborative Filtering Recommendation System Location Content-based  + (Analyze the content stored in Collaborative Filtering Recommendation System based on the location of the users)
• Analyzing Privacy Policies (NLP) -- Malware Analysis  + (Analyzing Privacy Policies (NLP) -- Malware Analysis)
• Interactive Anomaly Detection  + (Anomalies can be relevant or irrelevant to the end-user. The goal of this thesis is to propose a new interactive anomaly detection method to leverage the user-feedback and learn to suggest more relevant anomalies.)
• Anomaly Detection for Predictive Maintenance with Elvaco  + (Anomaly Detection for Predictive Maintenance with Elvaco)
• Anomaly Detection in Time Series Data Using Generative Models  + (Anomaly Detection in Time Series Data Using Generative Models)
• Anomaly Detection on Truck Histograms  + (Anomaly Detection on Truck Histograms)
• 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)