Klaas Dijkstra (1982) is a professor of applied science (lector) at the NHL Stenden Hogeschool. He holds a PhD in artificial intelligence from the University of Groningen and leads the research group Computer Vision & Data Science and is the co-initiator of I'M A.I., an initiative to make AI available for everyone. He is chairman of the Cluster Computer Vision Noord-Nederland (CCVNN), a platform of more than thirty companies in the north of Netherlands who are active in the field of computer vision.
Professor Computer Vision & Data Science
Research areas:
He is co-developer of the master Computer Vision & Data Science and the minor of the same name. Klaas has extensive experience (since 2005) with initiating, leading and implementing hands-on research projects (SNN, SIA, etc.) He is inventor of a patent for a medical device and he is (co)author of scientific publications in both the artificial intelligence and (hyperspectral) imaging domain and the various application areas (such as plastics, agriculture, medical, microbiology, etc.)
As part of his PhD research, Klaas developed CentroidNet, a hybrid neural network designed to segment and count small objects. CentroidNet is now also used and further developed by other research groups. Klaas has been a certified drone operator since 2017.
Professorship: Computer Vision & Data Science
The professorship revolves around the visual perception of the world through the use of image processing algorithms. Students, teacher-researchers and companies work together on real-life projects in a complex and international context, from medical image analysis to smart farming and traffic safety.
Projects
Use AI to automatically detect behavior of traffic participants. This information serves to improve decision making to optimize traffic safety.
Detect the corrosion of metal in ships.
Detect contraband in x-ray images.
Detect and measure apples in orchards.
Detect the potato-Y virus infection using AI.
Detect Aphids in real-time.