


My name is Nelley Kovalevskaya. I am a mathematician from Novosibirsk State University. Most of my PhD research was done at Glushkov Institute of Cybernetics in Kiev with Prof. Georgy Gimel'farb as my official supervisor. Now I work at the Institute for Water and Environmental Problems (Siberian Branch, Russian Academy of Science) and do be keen of a multidisciplinary project. Actually, ecologists are stricken back by their minimum contribution to the development of means and technologies for acquiring and applying the earth observations to environmental problems as well as computer analysis of the visual data in environmental studies is still based upon heuristic techniques. There is a need to involve the environmental experts in analyzing of relevant observations.
Intelligent analysis of the observations is highly interdisciplinary requiring expertise in human vision study, computer analysis and environmental sciences. Computer scientists can benefit by taking cues from the inferred representations, dynamics and architecture of the human visual systems, as presented by perceptual psychologists, psychophysicists and neurophysiologists. They in turn might gain insight into their respective fields by considering the information processing tasks that have to take place to discover special knowledge. Behind all of this, mathematics and statistics of large interacting particle systems can provide rigour and provability to computational techniques. So, I became enthusiastic about adaptive computation, in particular techniques inspired by human and computer vision and new forms of analysis in environmental science by way of theoretical modeling, mathematical analysis and computer simulation.
