About

As a researcher, I specialize in machine learning, computer vision, affective behavior, and social interaction analysis, focusing on both basic research (AHFS paper) and applied research (ASD paper). I am deeply committed to advancing human-centered AI and bringing practical, real-world impact through my work. My publications appear in top journals such as Pattern Recognition (Q1 ranked) and Cognitive Computation (Q1 ranked), and I have presented at major conferences like the IEEE International Joint Conference on Neural Networks (IJCNN, CORE A ranked).

I have spoken for the John von Neumann Computer Society (NJSZT) and the XVIII Hungarian Congress of Neuropsychopharmacology (MPPT), among other workshops (HumanE-AI-Net) and forums (Hungarian Academy of Sciences). Additionally, I have given presentations at institutions such as K&H Bank about Generative AI and Large Language Models, and at Comenius University in Bratislava, University of Szeged, University of Debrecen, University of Pannonia, and Pázmány Péter Catholic University about my PhD research. I also collaborate with partners from the ELTE Faculty of Education and Psychology, helping drive interdisciplinary projects.

At Eötvös Loránd University (ELTE), I am passionate about teaching and mentoring, lecturing on advanced neural networks, mathematics, and AI development. I have supervised both BSc and MSc students, and have also prepared students for the Students’ Scientific Conference.

Beyond research and academia, I actively develop hobby projects shared on GitHub and continuously sharpen my skills through online courses offered by MIT, Stanford, and Coursera.

If you’re looking for a motivated and curious professional who excels independently and as a team player, values practical impact, and is ready to proactively contribute, I would love to connect.

Contact
CV

Publications

Year Citation Link

Coursera

Badges

Certificates

Back to top