Anna-Maria Raita-Hakola is a postdoctoral researcher specialising in hyperspectral imaging, machine vision cameras and machine learning (artificial intelligence). Her interests cover the whole research process - from sensor-level programming to the development of analytical methods and software. She has developed and programmed spectral imaging software for prototype cameras and machine learning methods for remote sensing and medical applications. In addition to hardware, he is actively working on computational analysis and machine learning of data (including hyperspectral, not excluding other data types).
Anna-Maria defended her PhD in December 2022 on "From Sensors to Machine Vision Systems: Exploring Machine Vision, Computer Vision and Machine Learning with Hyperspectral Imaging Applications". She has been involved in several research projects, including the Research Council of Finland-funded SICSURFIS and FireMan projects. She is currently working on the ML4Drone project. With all projects, she has been responsible for the research, the work packages' outputs, and supervising research assistants and PhD students. Raita-Hakola's research has been recognised by the external evaluation of the Research Council of Finland, the Nokia Foundation and the International Society for Photogrammetry and Remote Sensing (ISPRS). Raita-Hakola has achieved more than €108 000 in personal funding, the most recent success being a two-year personal funding for optical biopsy research. Collaborative project funding, in which Raita-Hakola has been involved in conceptualising and writing, and, with funding as a researcher, amounts to €1.02M.
In her teaching work, Anna-Maria is responsible for several courses in computational data science, anomaly detection, machine learning and machine vision. In addition, she works as a researcher in the Industrial Big Data project in collaboration with the University Centre of Kokkola. He is also active in the university administration as a member of the Faculty Council and deputy member of the University College.
Keywords: Artificial intelligence, machine learning, computational data science, hyperspectral imaging, optical biopsy, remote sensing, soft sensors, spectral imaging laboratory, AI, optical biopsy, AI for medical applications, AI for remote sensing, AI and machine learning for emerging technology..
I develop computational data analytics for various everyday life applications, i.e. I work with more familiar artificial intelligence models. I have developed and am developing methods, e.g. for skin cancer research, observing forest fires, studying rock paintings and examining the operation of industrial lines. My special skills are hyperspectral imaging, machine vision, artificial intelligence and machine learning.
