Keni Ren

I am interested in developing technologies that increase the automation of animal behaviour monitoring and welfare management. My research was conducted in collaboration with animal scientists, animal caretakers, and other engineers.

I have ten years of teaching experience in the interaction design field: Applications of sensor networks, Web technology for engineers and Design and service for the Internet of Things.

My research interests focus on the computer vision and sensor-fusion systems for studying animal behaviour in zoo and livestock production environments:

• Real-time locating systems to study dairy cattle's indoor movement and social interactions.
• Computer vision and sensor-fusion-system for identifying and tracking individual animals;
• Computer vision and sensor-fusion-system method for analysing animal basic and social behaviour;
• Big Data analysis, Data visualisation, Machine learning;
• IoT applications for Precision Livestock Farming;
• Human-machine interface analysis techniques.

2021.9-now          Postdoc at Department of Animal Breeding and Genetics, SLU. 

2012.5-2021.9       PhD student at the Department of Applied Physics and Electronics, Umeå University. Thesis: "Zoom in on the precision livestock farming". 

2008.10-2009.10  MA in Interaction System Engineering, at the Department of Applied Physics and Electronics, Umeå University. Master thesis: 'fACER- Face Recognition on Mobile Phones'. 

Ren, K., Alam, M., Nielsen, P. P., Gussmann, M., & Rönnegård, L. (2022). Interpolation Methods to Improve Data Quality of Indoor Positioning Data for Dairy Cattle. Frontiers in Animal Science, Volume 3.

Ren, K. (2021). Zoom in on the precision livestock farming (Doctoral dissertation, Umeå University).

Ren, K., Nielsen, P. P., Alam, M., & Rönnegård, L. (2021). Where do we find missing data in a commercial real-time location system? Evidence from 2 dairy farms. JDS Communications, 2(6), 345-350.

Ren, K., Bernes, G., Hetta, M., & Karlsson, J. (2021). Tracking and analysing social interactions in dairy cattle with real-time locating system and machine learning. Journal of Systems Architecture, 116, 102139.

Ren, K., Karlsson, J., Liuska, M., Hartikainen, M., Hansen, I., & Jørgensen, G. H. (2020). A sensor-fusion-system for tracking sheep location and behaviour. International Journal of Distributed Sensor Networks, 16(5), 1550147720921776.

Karlsson, J., Ren, K., & Li, H. (2010, December). Tracking and identification of animals for a digital zoo. In 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing (pp. 510-515). IEEE.