Monday 19 February 2024, 3.00 pm CET
(Central European Time)
Our approach revolves around observing functional techniques that have evolved in the natural world over millions of years and building these insights into the designed world of information technology. Our goal is to create new, innovative solutions through the close collaboration of life sciences and informatics, contributing to the development of the technological world and enhancing the quality of human life.
We place particular emphasis on hardware issues, including kilo-processors and reconfigurable architectures. Through the education of sensor applications, our curriculum also opens doors to the world of info-bionics. Neuro-morphic computations (mimicking the nervous system), digital language processing, machine learning, data science, image processing, and analysis are all exciting and contemporary areas that can be studied and researched at our Faculty.
For rapid decision-making or the real-time implementation of manufacturing methods, a massive amount of computations is often required at a sufficiently low cost. This necessitates cutting-edge software tools and well-designed hardware architectures. Students opting for this specialization learn the integrated design of these tools to maximize computational performance effectively.
Head of the Sensory Robotics Laboratory, an expert in artificial intelligence. He is associated with seven patents. Numerous companies employ various sensors developed in collaboration with his students.
He earned his doctoral degree at the University of Notre Dame. A significant part of his research on spin wave calculations was conducted in collaboration with the Technical University of Munich (TUM).
Lecturer and researcher in artificial neural networks, computer vision, image processing, and artificial intelligence. Head of the Intelligent Sensing and Learning Laboratory at Pázmány ITK. Numerous publications presented at forums of major global importance are associated with him.
Lecturer and researcher in parallel programming and architectures, ensuring the operation of large neural networks. Head of the High-Performance Computing Research Group at Pázmány ITK. The majority of his research has been conducted in Oxford.
One of the leaders of the Hungarian Bionic Vision Center an expert in artificial intelligence. His research areas include computer vision, sensor-based parallel processing, and learning in partially observable environments.
Lecturer and researcher in the fields related to wireless data transmission technologies, with a primary focus on communication protocols of sensor networks.