Property:OneLineSummary
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Develop and test mechanisms for trust interoperability across coalition forces using different trust frameworks, ensuring secure and effective collaboration in joint missions. Trust Framework Analysis +
Explainable AI for Forecasting in Corporate Environments ( RQ: How to provide interpretable/explainable forecasts that align with business logic? +
Hybrid Models for Financial Forecasting Using LLMs and Time Series RQ: Can LLMs enhance traditional time-series models for forecasting financial KPIs? +
LLM Feedback Loops for Autonomous Knowledge Updating RQ: What mechanisms allow LLMs to autonomously refine their knowledge based on user feedback? +
Robustness of LLMs Against Prompt Injection Attacks RQ: What defense mechanisms can mitigate prompt injection vulnerabilities in enterprise LLM deployments? +
Forecasting with Sparse and Noisy Corporate Data RQ: What preprocessing techniques improve LLM performance on sparse transactional datasets? +
Analyze the content stored in Collaborative Filtering Recommendation System based on the location of the users +
It is a collaboration with MittLogik on development of Interoperable RSU Prototype focused on Vulnerable Road User (VRU) safety. +
The topic of the project is the comparative study of the coverage of the tests generated by the QuickCheck tool against real coverage requirements +
Study and development of tools and methods for the visualization of (temporal) human activity patterns. +
This project aims to apply techniques from recurrent concept drifts to explain the predictions of Online Continual Learning methods. +
Synthetic data generation of Electronic Health Records with a focus on medical codes +
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. +
Development and testing of an embedded system for the protection of Vulnerable Road Users +
Discovering multiple clustering solutions, compare them, and find out if there is a single best (consensus) clustering, or multiple consistent clustering solutions. +
Constrained dynamic path planning for truck and trailer +
A camera-based system for non-invasive monitoring of blood pressure +
collaborate with Alfa Laval (a leading national and global company); Conversational AI for industrial telemetry, combining language models with numerical data and documentation to deliver reliable, explainable insights on machine status and performance. +
The project aims to quantify the behaviour of Convolutional Neural Network (CNN) features in the context of textures. +
Convolutional Neural Network (CNN) features behaviour in the context of textures +
