جست‌وجوی استاد و پژوهشگر

Nuria Sagarraمشاهده پروفایل

استاد

• Cognitive Science
• Linguistics
• Second Language Acquisition
• +۲ مورد دیگر

Nuria Sagarra is a Professor at Rutgers, The State University of New Jersey , affiliated with research groups in Latin American, Iberian, and Luso-Afro-Brazilian Literatures and Cultures (LAILAB) and Second Language Acquisition (SLA) and Bilingualism. Her work bridges cognitive science, linguistics, and language pedagogy. Educated at the University of Illinois, Urbana-Champaign (Ph.D.) Her research investigates factors underlying adults’ challenges in acquiring second language (L2) morphosyntax, focusing on working memory, language proficiency, exposure, and cross-linguistic similarity. She employs experimental methods like self-paced reading , eye tracking , and event-related potentials to analyze real-time processing and instructional effectiveness. Recent publications highlight trends in computerized training (AI and human voices), lexical stress processing , and the interplay between interpreting experience and L2 morphological anticipation . These studies emphasize suprasegmental and segmental cues, proficiency metrics, and cognitive resource allocation. Her work also explores the longitudinal impacts of cognitive variables on L2 grammar and reading abilities, with implications for linguistic and cognitive models. Collaborative projects and methodological guides, such as her eye-tracking manual , further underscore her technical and theoretical contributions.

• Video Coding for Machines
• Neural Network-Based Video Processing
• Immersive Video Coding
• +۵ مورد دیگر

Professor Marek Domański is a distinguished faculty member at Poznań University of Technology, holding the position of Professor at the Institute of Multimedia Telecommunications within the Faculty of Computing and Telecommunications. With over four decades of academic career since completing his dissertation in 1983, he has established himself as a leading researcher in video coding and processing. His research primarily focuses on advanced video coding techniques, particularly Video Coding for Machines (VCM), neural network applications in video processing, immersive video coding, and multiview video compression. Professor Domański has made significant contributions to the field through his extensive publication record and active participation in international standardization efforts, particularly at MPEG meetings. Analysis of his recent publications (2020-2025) reveals a strong emphasis on machine-oriented video coding, with numerous contributions to MPEG standardization activities. His work demonstrates a consistent evolution from traditional video coding toward specialized techniques for machine vision applications, incorporating artificial neural networks to improve coding efficiency and processing capabilities. As an academic supervisor, Professor Domański has guided 27 doctoral students to completion, with recent dissertations focusing on cutting-edge topics in video processing and coding. His research group at PUT maintains active international collaborations, particularly with South Korean institutions like ETRI, reflecting the global relevance of his work. Professor Domański's research has practical applications in virtual reality, free-viewpoint television, and machine vision systems, with numerous technical reports indicating ongoing research projects focused on improving machine vision coding techniques. His work bridges theoretical advances with practical implementations, contributing significantly to both academic knowledge and industry applications in video technology.