معرفی
Nicolai Petkov is a Professor in the Department of Computing Science at the University of Groningen's Faculty of Science and Engineering. He leads research in computer vision, image processing, and computational neuroscience, with a focus on biologically inspired algorithms. His work bridges theoretical neuroscience and practical computer vision applications.
His research interests span computer vision, image processing, pattern recognition, computational neuroscience, and biologically inspired computing. Petkov has made significant contributions to contour detection, texture analysis, and visual perception modeling, developing algorithms inspired by the human visual cortex. His work on B-COSFIRE filters has become influential in the field of biologically inspired computer vision.
Petkov's publication record shows consistent research output over decades, with recent work focusing on applications in agriculture, robotics, and medical diagnostics. His research demonstrates a progression from theoretical models of visual perception to practical applications in diverse domains.
- Best paper award for 'Image-based localisation using Gaussian processes' (2016)
- Best student paper award for 'Contour detection by multiresolution surround inhibition' (2006)
- Best student paper award for 'Integrated electronic health record database management system' (2015)
- Top-1% in engineering according to the Essential Science Indicators of the ISI Web of Knowledge
Petkov has supervised numerous PhD students and collaborators including George Azzopardi, Nicola Strisciuglio, and Giovanni Papari. His research has received funding for projects in intelligent systems and computer vision applications. He is actively involved in governance at the University of Groningen, having served on the University Council.
His laboratory, part of the Intelligent Systems research group, focuses on developing brain-inspired computing approaches with applications ranging from agricultural technology to medical diagnostics and autonomous robotics.
