“Top 50 – Women in Artificial Intelligence” Award

2025.11.05.

We are pleased to announce that the “Top 50 – Women in Artificial Intelligence” award, presented by the Scientific Association for Infocommunications Hungary (HTE), has been awarded again this year.

We are especially proud that our two colleagues have been recognised, serving as inspiring role models for future generations. The aim of the award is to build a community of value-driven experts and to encourage young talents to pursue careers in the field of artificial intelligence.

One of our awardees is Dr. Anna Gelencsér-Horváth, who obtained her PhD in Computer Science at our Faculty in 2023. As a researcher at Pázmány ITK, she works in the field of computer vision, focusing on AI-based algorithms that can extract semantic information from visual data in real time and with efficient use of computational resources. Her mission is to translate research results into practical, everyday assistance for people with visual impairments. In 2024, she participated as a researcher and student coordinator in the Cybathlon, the “Olympics” of assistive technologies, organized by ETH Zürich, where the team achieved first place in the category for visually impaired competitors. As a supervisor, she has supported more than twenty BSc and MSc students in thesis and Scientific Students’ Association (TDK) projects, two of whom have also achieved podium results at the National Scientific Students’ Associations Conference (OTDK).

Also among this year’s awardees is Dr. Noémi Ligeti-Nagy, who earned her PhD at the Doctoral School of Linguistics of Pázmány Faculty of Humanities and Social Sciences. Since 2021 she has been a member of the Language Technology Research Group at the Research Institute for Linguistics, and since 2024 she has been leading the group. Her primary focus is evaluating the performance of language models in Hungarian. Under her leadership, the HuLU (Hungarian Language Understanding Evaluation Benchmark Kit) dataset was created. This is the first and to date only Hungarian platform for assessing discriminative models. Together with her colleagues, she also developed the HuGME (Hungarian Generative Model Evaluator) system, which quantitatively measures properties of generative models such as bias, toxicity, instruction-following ability, and Hungarian language competence. She is also strongly committed to AI education and public outreach, and teaches in the Applications of Artificial Intelligence postgraduate programme at Pázmány ITK.

This recognition demonstrates that our female researchers play a key role in advancing artificial intelligence through their outstanding work, and serve as an example for the next generation.

Congratulations!

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