István Petrás
About István Petrás
István Petrás is a Senior AI Researcher with extensive experience in machine learning, computer vision, and neurobiology. He has worked at various institutions, including Trax Retail and Ohai.ai, and has a Ph.D. from Pázmány Péter Katolikus Egyetem.
Work at Trax Retail
István Petrás has been employed at Trax Retail as a Senior AI Researcher since 2023. His role involves leveraging his expertise in artificial intelligence to enhance retail solutions. He contributes to the development of innovative technologies aimed at improving operational efficiency and customer experience within the retail sector.
Previous Experience at OTT-ONE
Prior to his current position, István Petrás worked at OTT-ONE as an AI Researcher from 2019 to 2023. During his four years there, he focused on advancing AI methodologies and applications, contributing to the company's growth in the technology sector in Budapest.
Education and Expertise
István Petrás holds a Ph.D. from Pázmány Péter Katolikus Egyetem, where he studied Neurobiology, Nonlinear Dynamics, Image Processing, and Near-sensor processing. He also studied at Budapest University of Technology and Economics, gaining a solid foundation in related fields. His academic background supports his work in AI research, particularly in machine learning and computer vision.
Research Background
István Petrás has a diverse research background, having worked as a Visiting Scholar at UC Berkeley and K.U.Leuven. His experience spans various roles, including Researcher/Data Scientist at realeyesit.com and MTA SZTAKI. His work has involved autonomous vehicles, facial expression and behavioral analysis, and chaotic systems, showcasing his broad multidisciplinary knowledge.
Skills and Contributions
István Petrás possesses strong problem-solving skills and an aesthetic sense, which enhance his contributions to AI research and data analysis. His flexibility and creativity in approaching complex problems are evident in his work across multiple domains, including embedded systems and machine learning.