استاد راهنما، استاد دانشگاه یا پژوهشگر مناسب برای مسیر پژوهشیتان را پیدا کنید و با او ارتباط بگیرید.
نمایش ۵۵۶-۵۶۰ از ۵۶۰ استاد راهنما
اطلاعات این پروفایلها از صفحات عمومی دانشگاهها جمعآوری شده و ممکن است بهروز نباشد.
Simon Fynbo Stendal serves as a Lecturer in the Department of Computer Science at the University of Copenhagen, located at Universitetsparken 1, 2100 København Ø. His research spans core computer science disciplines including: Computer Science Software Engineering Artificial Intelligence Data Science Algorithms Human-Computer Interaction Contact via email: sist@di.ku.dk
Frederik van Wylich-Muxoll serves as a Lecturer in the Department of Computer Science at the University of Copenhagen, located at Universitetsparken 1, 2100 Copenhagen Ø. His academic responsibilities center on foundational computer science education within the institution's technical curriculum. His research profile aligns with core computer science disciplines including Software Engineering, Algorithms, and Programming Languages, reflecting the department's focus on both theoretical and applied computational systems. This orientation supports the department's mission in advancing digital innovation and computational theory. Contact is facilitated through his institutional email fwmu@di.ku.dk , with office operations based at the North Campus facility.
Hongyang Cui serves as a Lecturer in the Department of Computer Science at the University of Copenhagen, with office location at Universitetsparken 1, 2100 København Ø. His position falls under the university's academic faculty structure though the specific school (e.g., Faculty of Science) remains unconfirmed in source materials. Research activities span foundational computer science disciplines with emphasis on: Artificial Intelligence Data Science methodologies Software Engineering practices Algorithm design and analysis Theoretical computing frameworks Computer Science education Professional correspondence may be directed to gbq569@di.ku.dk .
استادیار
Dr. Svenja Woudstra, PhD and Dr.med.vet., serves as an Assistant Professor in the Department of Veterinary and Animal Sciences at the Faculty of Health and Medical Sciences, University of Copenhagen. Based at Grønnegårdsvej 8 in Frederiksberg, she leads research initiatives focused on bovine health management with particular emphasis on udder health optimization and the practical implementation of precision livestock farming data to enhance animal welfare and disease control in dairy operations across Denmark and international collaborations. Her research program centers on mastitis prevention through innovative approaches including social network analysis of dairy herds, pathogen transmission dynamics, and milking system engineering. She investigates how precision farming technologies can be leveraged by veterinarians to interpret behavioral and physiological data, with significant contributions to understanding intramammary infections, Trueperella pyogenes diversity, and parity-related milking behaviors. This work bridges veterinary epidemiology, microbiology, and data science to develop actionable farm management strategies. Analysis of her 2023-2025 publications reveals a strong thematic focus on data-driven solutions for dairy health challenges, with increasing emphasis on interdisciplinary collaboration between veterinarians, farmers, and technology developers. Her work consistently addresses practical applications of research findings to improve on-farm decision-making and animal welfare outcomes. Dr. Woudstra's scientific excellence has been recognized through prestigious awards: ECBHM Resident award 2024 (awarded September 12, 2024) Wilfried Wolter Gedächtnispreis 2022 (awarded March 2022) Through her extensive collaborative network spanning multiple European institutions and dairy operations, she actively mentors emerging researchers and contributes to advancing veterinary practice standards. Her research outputs demonstrate significant engagement with both academic and industry stakeholders through conference presentations and practitioner-focused publications. As part of the Animal Welfare and Disease Control research group at the University of Copenhagen, she participates in multidisciplinary teams utilizing advanced monitoring technologies and epidemiological modeling. Her work connects laboratory-based pathogen analysis with on-farm observational studies, creating a comprehensive research ecosystem that addresses bovine health challenges from multiple angles while maintaining strong industry relevance.
Jing Xie serves as a Lecturer in the Department of Computer Science at the University of Copenhagen, located at Universitetsparken 1, 2100 København Ø. Her research spans core areas of Computer Science with emphasis on Artificial Intelligence and Data Science methodologies. This includes algorithmic development, machine learning applications, and computational systems design within modern software engineering frameworks. No scientific awards are documented in available sources. Information regarding graduate student supervision, research funding, or laboratory affiliations is not specified in the provided materials.
