Seminar @ INESC-ID by Sylvain Kubler: “Toward Trustworthy AI in Smart Manufacturing – From Data Augmentation to Explainable Chatbots”
Abstract: Applying AI in manufacturing remains challenging due to the complex, dynamic, and heterogeneous nature of industrial data, often affected by sensor noise, multimodal signals, and data scarcity. Beyond performance, companies increasingly demand trustworthy AI solutions that ensure robustness, transparency, and meaningful human oversight.
In this seminar, Dr. Sylvain Kubler and Pierre Glandon will present recent research initiatives conducted in collaboration with industrial partners. The talk will cover advances in data augmentation techniques for generating high-quality synthetic time-series data to address imbalance and scarcity in production and maintenance contexts, as well as novel relation triplet extraction (RTE) methods designed to enhance Graph RAG–based LLM pipelines. These developments aim to improve explainability and reliability when dealing with domain-specific, error-prone, and jargon-heavy manufacturing text data.
Sylvain Kubler (Interdisciplinary Centre for Security, Reliability and Trust, University for Luxembourg).
Date & Time: October 29, 14h00
Where: Room 336 | INESC-ID, R. Alves Redol 9
About INESC-ID
INESC-ID, “Instituto de Engenharia de Sistemas e Computadores: Investigação e Desenvolvimento em Lisboa” is a Research and Development and Innovation Organization (R&D+i) in the fields of Computer Science and Electrical and Computer Engineering. INESC-ID mission is to produce added value to people and society, supporting the response of public policies to scientific, health, environmental, cultural, social, economic and political challenges. INESC-ID promotes cooperation between academia and industry by addressing research on daily life issues, such as healthcare, space, mobility, agri-food, industry 4.0, and smart grids. This high level of knowledge transfer is achieved through both competitive research projects and direct contracted research. Public and private entities have therefore access to a pool of knowledge, resources and services provided through the unique competencies available at the institution.
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