Property:OneLineSummary
From ISLAB/CAISR
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Explore the use of large pre-trained time-series foundation models (TSFM) and design fine-tuning strategies on tasks of interest +
Investigation how fuzz testing of network protocols could be implemented and provide rapid robustness testing +
G
The project aims to develop a machine learning tool for the assessment of Parkinsonian gait in a natural environment +
Design and implement a trust evaluation mechanism that distinguishes between legitimate goal divergence and malicious behavior using game-theoretic principles. +
Generating synthetic time series data in case of data scarcity +
The topic focuses on generative models (VAE) for CAN-bus data and investigating the representation learning capabilities of such techniques +
Our project aims to analyze multivariate time series through the innovative application of graph neural networks. +
The main goal of this project is to explore GNN for traffic flow forecasting +
The main goal of this project is to explore GNN for cardiovascular disease +
Develop an interactive graphical application to draw vehicle paths and their surrounding environment, for rapid prototyping of traffic scenarios in intelligent vehicle research. +
H
Increased engagement of industral operators through human-centered AI; the project is done in collaboration with local rubber factory +
Hardware Security Enhancement in Cyber-Physical Systems using Deep Learning-based Anomaly Detection +
In this project, we intend to employ a deep learning approach to detect anomalies in cyber-physical systems using data flow monitoring. +
Building novel methods for privacy-preserving data sharing and/or re-identification +
Design and build a device from measuring power draw of a Raspberry PI with high precision to power profile software. +
Compare and evaluate accelerometer and gyroscopes for analyzing human motion in real-world applications. +
Given a textual argument and a human value category, classify whether or not the argument draws on that category. +
External communication from mobile robots to minimize conflicts with pedestrians +
Identify a hand writer when repeated identity relevant text is available +
Interactive discovery of disentangled and interpretable concepts in Deep Learning Models +
Collaboration with Ålberga Bruk 1919 +