Beatrice Fuchs

Beatrice Fuchs is a Lecturer in Computer Science at the iaelyon School of Management, Jean Moulin University Lyon 3, a position she has held since 1998. She is also a researcher within the TWEAK team (Traces, Web, Education, Adaptation, Knowledge) at the Laboratory of Computer Science in Images and Information Systems (LIRIS), affiliated with CNRS and Lyon 1 University.

Her educational background includes academic training in computer science, with a focus on knowledge systems and artificial intelligence, though specific degrees and institutions are not detailed in the provided text.

Her research focuses on knowledge engineering, learning analytics, and educational data mining, with a strong emphasis on analyzing digital traces of user interactions to model learning behaviors and improve educational systems. She explores interactive knowledge discovery, trace engineering, and case-based reasoning, aiming to extract meaningful patterns from sequential user data. Her work bridges computer science and educational technology, particularly in understanding how users interact with digital environments.

Although no specific articles are listed in the provided texts, her research output centers on trace-based knowledge discovery, as evidenced by her development of software tools and participation in major research projects. Her work consistently explores themes of user modeling, anomaly detection, and interactive data mining, primarily applied in educational and collaborative settings.

She has not been mentioned as receiving any scientific awards or fellowships in the provided materials.

• Advising: There is no explicit mention of students advised by Beatrice Fuchs. She does not hold authorization to direct research (HDR), which may limit her role in supervising doctoral candidates.
• Grants: She has participated in several funded research projects, including Hubble (ANR, 2014–2018), OFS (Investissements d’Avenir, 2013–2016), Coprat (Région Rhône-Alpes, 2009), Procogec (ANR, 2007–2010), and Dimocode (CNRS, 2007–2009), indicating sustained research funding across a decade.

Beatrice Fuchs is a key member of the TWEAK team at LIRIS, where she contributes to the development of trace-based knowledge systems. She has led the creation of software tools such as DisKit (for discovering frequent serial episodes in interaction traces), Transmute (a web application for interactive trace interpretation), and Katie (for interactive knowledge acquisition using formal concept analysis). These tools form an integrated environment for analyzing digital traces, supporting both automated mining and human-in-the-loop interpretation.