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Keni Ren is an Associate Professor in Media Technology with a specialization in Precision Livestock Farming, focusing on sensor technologies and data analysis. He teaches in the field of Interaction Design and is dedicated to bridging the gaps between research and teaching to create meaningful impacts. His research primarily revolves around developing sensor-fusion systems and computer vision technologies to support automation in animal behavior monitoring and welfare management. He is particularly interested in technologies that enhance animal welfare and contribute to sustainable farming practices, with a primary focus on dairy sheep production systems. Key research areas include real-time locating systems that study the indoor movements and social interactions of dairy cattle, computer vision sensor-fusion systems for identifying and tracking individual animals, behavior analysis methods for understanding the basic social behaviors of animals, big data analysis, data visualization, machine learning, and Internet of Things (IoT) applications in Precision Livestock Farming. In addition to his research, he is dedicated to engaging students in Media Technology and Interaction Design, helping them explore digital technologies to solve real-world problems and shape the future.
Requirements are standard for Master's programs across Social Sciences and Humanities at Umeå. English 6 proficiency is the general rule.