Professor · AI Researcher · CEO

Carles Gallel

Computer Scientist, University Professor & Researcher

Adjunct Professor at the Universitat Oberta de Catalunya, CEO of Nexian Labs and AI4SE & AI4Education researcher.

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About me

Building the bridge between AI, software engineering and higher education

I am a computer scientist, university professor and AI researcher. I teach software engineering and artificial intelligence at the Universitat Oberta de Catalunya (UOC), and I am CEO of Nexian Labs, an innovation lab that turns advanced AI into practical tools for business.

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Projects

Projects

Ventures and initiatives where AI meets real-world impact.

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Nexian Labs

Innovation lab creating AI solutions and immersive VR/AR/MR experiences, turning advanced technologies into practical tools that drive business growth.

Website
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Undefined World

Service for university students that provides high-quality complementary content. Through audiovisual and textual materials, all aspects of various subjects in the Bachelor's Degree in Computer Science are delved into.

Website

Media

In the media

Press, interviews and conference appearances on artificial intelligence and education.

  • TV3 · Telenotícies Migdia min 21:15

    Television interview on artificial intelligence and high-ability profiles, broadcast on TV3's midday news.

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  • El País

    Feature on the "invisible talents" of the AI era — high-ability profiles whose skills become particularly visible when working with generative AI.

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  • COPE Catalunya

    Radio interview on how artificial intelligence can help identify high-ability profiles, particularly in young people.

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  • La Vanguardia

    Long-form interview on the relationship between high-ability profiles and the mastery of generative AI models.

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Research

Academic

One of my passions is research within the field of software engineering and artificial intelligence. That's why I try to contribute my bit to the scientific community with the studies I am carrying out.

Published studies Qualified with Honors Distinction

Evaluation of LLMs for code generation

Study in which multiple methodologies for validating code generated by LLMs are evaluated, with the aim of determining their quality and efficiency

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Contact

Let's talk

For academic, research, press or business inquiries — choose the channel that fits best.

Academic & research

[email protected]

Business & AI projects

[email protected]