Manufacturing Foundation Model for Intelligent Production Systems

This project focuses on developing a large-scale foundation model tailored for smart manufacturing environments. By integrating multimodal industrial data—including process logs, sensor data, and textual production knowledge—the research aims to construct an AI-driven framework that supports adaptive decision-making, predictive maintenance, and intelligent process optimization. The project combines expertise in industrial engineering, artificial intelligence, and data […]

CCLS initiative

Center for Computational Life Science; networking initiative across the faculty of science to accomplish a stronger momentum and exploit synergies among fields.

Process Mining

Optimizing business processes is vital for achieving organizational strategic goals. This project explores advanced process knowledge using machine learning and computational intelligence. Ongoing works focus on process discovery, quality metrics, concept drift, interpretability and explainability, prediction and prescription, bias and fairness, LLMs, trace clustering, graph embeddings, sequencial association rules, semantic parsing, plain language, and OCEL, […]

Plooto – Product Passport through Twinning of Circular Value Chains (GA no. 101092008)

Plooto delivers a Circular and Resilient Information System (CRIS) to support manufacturers in their green, digital and circular transition. The CRIS enables waste reduction and end-to-end traceability of Secondary Raw Materials (SRM) through interconnected digital services for real-time decision-making, monitoring and certification of materials and products, utilizing Digital Twins and advanced services/governance models and Digital […]

Fashion Item Recommendation Systems Using Bandit Algorithms

This project applies reinforcement learning, specifically the Bandit Algorithm, to build a dynamic fashion item recommendation system. By learning adaptive strategies to maximize user engagement, the system continually refines its suggestions in real time, enhancing personalization and customer satisfaction in online retail environments.

CAIRNE

European initiative for excellence in AI research and innovation; integrates LIACS research in a wider community of researchers.

Social Robotics

Social robots are designed to enhance human activities by providing interactive support. This project explores their role in assisting specific groups across diverse contexts. Key applications include diagnosing depression in older adults, promoting activities that support mental well-being, improving cognitive engagement, and serving as mentors for digital literacy. The project focuses on leveraging social robotics […]