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List of results
- Digital Twin - AFRY + (Digital twin for consulting firm)
- Security Vulnerabilities in Multi-Model Computing-in-Memory Systems + (Discover and quantify timing side-channels and model-fingerprinting risks in multi-tenant CiM accelerators using open simulators and a custom runtime)
- Consensus clustering for categorizing orthogonal vehicle operations + (Discovering multiple clustering solutions, compare them, and find out if there is a single best (consensus) clustering, or multiple consistent clustering solutions.)
- ActNormal + (Driving Behavior Model Identification)
- Dynamic Objects Detection and Tracking + (Dynamic Objects Detection and Tracking in Warehouses, Using 3D Sensors.)
- Project opportunities at HMS + (Each year there are several project opportunities at HMS (a company with motto of "We create products that enable industrial equipment to communicate and share information"))
- Project opportunities at RISE + (Each year there are several project opportunities at RISE (Research Institutes of Sweden))
- Project opportunities at ElectronicArts + (Each year there are several project opportunities at Electronic Arts)
- Project opportunities at Saab + (Each year there are several project opportunities at Saab)
- Project opportunities at Toyota + (Each year there are several project opportunities at Toyota)
- Project opportunities at zenseact + (Each year there are several project opportunities at zenseact)
- Emergency vehicle movement prediction + (Emergency vehicle movement prediction)
- Analysing Engine Performance based on Vehicle Data + (Estimate engine perfromance based on data logged on-board Volvo vehicles and using it for diagnostics, e.g. detection of cylinder heads in need of replacement)
- Traffic Estimation From Vehicle Data + (Estimate traffic density based on logged vehicle data)
- Surface normal estimation by Spiral Codes + (Estimating 3d surface normal from a single image)
- Blood splatter analysis + (Estimation of direction and distance to origin from blood splatter images)
- Machine Unlearning Faithfulness with XAI + (Evaluating Machine Unlearning Faithfulness in Deep Neural Networks using Explainable AI)
- Safe deployment of Deep Neural Networks in automotive engineering + (Evaluation of DNN factors with respect to robustness in safety critical systems.)
- Evaluation of captchas. + (Evaluation of liveness detection provided by ocr captchas)
- Evolutionary Behavior Trees for Multi-Agent Task-Oriented Environment + (Evolutionary generating Behavior Trees for use in multi-agent task-oriented environment.)
- Collaboration with Bankomat + (Explainable AI for Forecasting in Corporate Environments ( RQ: How to provide interpretable/explainable forecasts that align with business logic?)
- XAI for time series data - collaboration with the mathematics and statistics dept. of the University of West Florida + (Explainable Artificial Intelligence (XAI) on Time Series Data)
- Explainable Anomaly Detection + (Explainable anomaly detection in time series data utilising causal inference)
- Sailboat Motion Planning using the Level-Set Method + (Explore the use of Level-Set and Fast-Marching Methods to create time-optimal motions of a point in a plane subject to direction-dependent velocity.)
- Foundation Models for Time Series Analysis + (Explore the use of large pre-trained time-series foundation models (TSFM) and design fine-tuning strategies on tasks of interest)
- FLBench: A Comprehensive Experimental Evaluation of Federated Learning Frameworks + (Exploring Federated Learning Frameworks)
- 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.)