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List of results

• Joint Analysis of Multimodal data on climate change for the educational purpose  + (Exploring climate change data using machine learning and deep learning)
• Quantifying exercise-induced muscle fatigue by machine learning  + (Exploring machine learning methods on an EMG muscle fatigue pipeline)
• Human ground robot interaction  + (External communication from mobile robots to minimize conflicts with pedestrians)
• Scalable Standardized Information Extraction from Free-Text Electronic Health Records  + (Extracting clinical information from free-text notes and providing standardized mapping of extracted concepts using the SNOMED CT medical ontology.)
• Body posture alignment feedback using xAI  + (Extracting the body alignment in different postures and giving feedback to reduce harm during physical exercise)
• F1tenth  + (F1tenth competition)
• Improved face tracking driven by optical flow  + (Face Tracking Using Optical Flow)
• Fair representation learning of electronic health records  + (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)
• A study about the future and usability of Bio-electronic “smart” implants in humans  + (Feasibility study on bioimplants in humans.)
• Federated learning in automotive industry  + (Federated learning in automotive industry)
• Project with HMS  + (Few-shot Learning for Quality Inspection)
• Segmentation of shoeprints  + (Finding boundaries of homogeneous regions in shoeprint images)
• Wisdom of the crowd, is there a single crowd?  + (Finding different clusters of machines based on their behavior as a first step towards anomaly detection and predictive maintenance.)
• Model Volvo Truck Lifetime Repair History  + (Finding good representations for data-driven description of Volvo truck's repair and maintenance history)
• Thermal Profiling of Residential Energy Consumption for Heat Pump and District Heating Customers  + (Finding interesting patterns of heat pump and district heating customers in order to identify meaningful thermal profiles)
• Detecting Faults and Estimating Missing Values in Smart Meter Data  + (Finding outliers and missing energy consumptions, and replace them with estimated values)
• Finding patterns/motifs in time series data  + (Finding patterns/motifs in time series data, for autonomous clustering or outlier detection)
• Peer Group Discovery in District Heating Substations and Heat Pumps for Self-Monitoring  + (Finding suitable peer groups to represent district heating and heat pump customers)
• Meta-learning for evaluation and implementation of predictive maintenance solution  + (Finding the best strategy to schedule a predictive maintenance intervention optimizing the cost of unexpected breakdowns against unuseful visits to the workshop.)
• Representation of Complex Data Types for Machine Learning  + (Finding ways to represent complex data types (e.g. histograms) present in Logged Vehicle Database databse for machine learning-based fault prediction)
• Replacements vs repairs. What is really a breakdown from the point of view of the data?  + (Finding ways to test how similar or different are the actions performed on a faulty machine. How does the effect of an intervention on the machine affect the data?)
• FirstResponse  + (First response to emergency situation in a smart environment using a mobile robot)
• Multi-robot trajectory adaptation using a state-time elastic band approach  + (For teams of robots moving through dynamic environments, deform planned trajectories in space and time such that they remain collision-free and reach the goal (if possible) or report failure if replanning is needed.)
• Detection of smart cars cyber attacks  + (For treating the probem of cyber attacks against smart vehicles, new change-point detection and anomaly detection methods by means of statistics and machine learning are developed and evaluated.)

• Forecasting Industrial IoT Time Series @AlfaLaval  + (Forecasting industrial IoT Time Series)

• Short-Term Energy Demand Forecasting  + (Forecasting the electricity consumption based on historical usage by using smart meter data)
• Collaboration with Bankomat 5  + (Forecasting with Sparse and Noisy Corporate Data RQ: What preprocessing techniques improve LLM performance on sparse transactional datasets?)
• Prototype Aligned Embedding for Time Series Forecasting  + (Generate prototype based explanation for time series forecasting)
• Evaluating Privacy Leakage Attacks on Fine-Tuned Clinical Models with Synthetic Data  + (Generate synthetic clinical data to fine-tune models and systematically evaluate privacy leakage risks using advanced attack techniques.)
• Intelligible patient representation for outcome prediction of congestive heart failure patients  + (Generating patient representation using EHR data)
• Generating synthetic time series data in case of data scarcity  + (Generating synthetic time series data in case of data scarcity)
• Image Retrieval for Arguments  + (Given a controversial topic, the task is to retrieve images (from web pages) for each stance (pro/con) that show support for that stance.)
• Human Value Detection  + (Given a textual argument and a human value category, classify whether or not the argument draws on that category.)
• SCANIA Project: Graph neural networks for anomaly detection  + (Graph neural networks for anomaly detection)
• Model Heterogeneity in Federated Learning  + (Group users within a federated learning environment into different learning overlays according to their behavioural similarities)
• Classifying heart diseases based on heart random numbers  + (Heart signal has entropy and can be used to generate random numbers. The idea is that, given a bunch of random numbers, we should predict if the source suffer from a desease)
• Estimating Architectural Properties of Buildings Based on Heating Data  + (Heating operation is heavily dependent on the specifics of the installation, and understanding this relation is important for improving reliability and energy efficiency)
• Time Series Motif/Discord Discovery Under Context  + (How we can find the repeated or odd patterns in a large time series that is under influence of multiple contexts?)
• Collaboration with Bankomat 2  + (Hybrid Models for Financial Forecasting Using LLMs and Time Series RQ: Can LLMs enhance traditional time-series models for forecasting financial KPIs?)
• Human identification by handwriting of identity text  + (Identify a hand writer when repeated identity relevant text is available)
• Identify boundary or, corner test cases for AD/ADAS functions using ML in MIL and HIL environment  + (Identify boundary or, corner test cases for AD/ADAS functions using ML in MIL and HIL environment)
• No Signal Left to Chance  + (Identify download patterns as a useful signal for analyzing browser extensions.)
• Prioritize informative structures in 3D brain images  + (Identify informative regions in 3D brain images to improve classification accuracy of dementia disorders)
• Ideology and Power Identification in Parliamentary Debates  + (Ideology and Power Identification in Parliamentary Debates)
• Conflict-free Replicated Data Type (CRDT)-based Distributed Trust Propagation in Partitioned Networks  + (Implement a CRDT-based mechanism for distributed trust computation and conflict-free updates during network partition recovery.)
• Beyond 5G baseband processing on a multicore architecture  + (Implementation and evaluation of beyond 5G baseband algorithms on an embedded (Epiphany) processor with 16 cores)
• Exploration and Mapping of Warehouse Using Quadrotor Helicopters  + (Implementation of a navigation method for a flying robot (Quadrotor). The robot is assigned to explore and map the warehouse.)
• Object Detection for Autonomous Vehicles  + (Implementing a single-stage deep network to detect vehicles in the segmented 3D LiDAR point cloud)
• Anomaly ranking of District Heating Substations  + (Implementing anomaly ranking algorithm to monitor district heating substations.)
• OpticalFlowForHMI/  + (Implent a high speed, low latency motion estimation technique)