CONRARDY Aaron

Unit: Human Centered AI, Data & Software

Group: Software Engineering

Social links: Linkedin  /  ResearchGate

Languages: Luxembourgish; Letzeburgesch, English, German, Romanian; Moldavian; Moldovan

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About

I am PhD student that works on exploring low-code approaches to apply them to the development of adaptive user interfaces, leveraging AI and other state of the art hardware and software. Ultimately, the goal of the thesis is to democratize both the development of adaptive interfaces but also the applications themselves, supporting the adaptation based on various user features such as age, emotions, personality, etc. In general, my main research interests lie in a combination of HCI, information systems and learning technologies, and the usage of methods such as MDE or low-code to streamline the process of creating various applications.

Mission

Extend the BESSER platform to include adaptivity components based on the end-user.

Latest Publications

Low-code to fight climate change: the Climaborough project

Conrardy A., Sulejmani A., Guerlain C., Pagani D., Hick D., Satta M., Cabot J.

Ceur Workshop Proceedings, vol. 3987, 2025

User Modeling in Model-Driven Engineering: A Systematic Literature Review

Conrardy A., Capozucca A., Cabot J.

Journal of Object Technology, vol. 24, n° 2, pp. 1-15, 2025

Towards the Interoperability of Low-Code Platforms

Alfonso I., Conrardy A., Cabot J.

Lecture Notes in Business Information Processing, vol. 557 LNBIP, pp. 3-11, 2025

A Leaderboard to Benchmark Ethical Biases in LLMs

Gomez-Vazquez M., Morales S., Castignani G., Clarisó R., Conrardy A., Deladiennee L., Renault S., Cabot J.

Ceur Workshop Proceedings, vol. 3744, 2024

From image to UML: First results of image-based UML diagram generation using LLMs

Conrardy A., Cabot J.

Ceur Workshop Proceedings, vol. 3727, pp. 55-65, 2024

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