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People

Tomasz Stepinski

Dr. Stepinski is the Thomas Jefferson Chair Professor of Space Exploration at the University of Cincinnati. For 20 years, until September 2010, he was a staff scientist at the NASA-funded Lunar and Planetary Institute in Houston, Texas where he worked on fundamental issues in multiple disciplines including: the origin and role of magnetic fields in protoplanetary disks, the diversity of planetary systems from evolutionary models of protoplanetary disks, the usage of genetic algorithms for the derivation of orbital parameters of exoplanets, the origins of Martian valley networks from their fractal properties, the utilization of machine vision for automating cataloging craters and mapping valley networks on Mars, and the application of machine learning for classification of cosmic dust particles. Dr. Stepinski received the M.Sc. degree in astrophysics from Warsaw University and his Ph.D. degree in Applied Mathematics from the University of Arizona.

Jaroslaw Jasiewicz

Dr hab. Jarosław Jasiewicz works in the Faculty of Geography and Geology of Adam Mickiewicz University. He has been working with Space Informatics Lab from the very beginning, since 2011. His former and current research includes broadly understood geoinformatics. His most essential research directions are as follows: 1) Computer vision approach to the geomorphometry of lowlands; 2) Geo-database processing and segmentation; Knowledge retrieval from large geospatial data sets; 4) Geo-Data science (machine learning on geodata), mainly searching for meaningful hidden variables. He was the main contractor or primary investigator in few Polish and US grants founded by NCBIR, NCN, NSF, and NASA. He is an author of several publications and software (including geomorphons). Currently, he is Head of Geoinformatics Lab in the Institute of Geoecology and Geoinformation.

Pawel Netzel

Dr. Pawel Netzel is a mathematician, climatologist, and programmer. Pawel promotes and develops Open Source Software for GIS. He is one of the founding members of the OSGeo chapter Poland. He leads GRASS workshops as a member of Wrocław GRASS User Group; these workshops are a long-standing tradition and have been held for the last 15 years. Pawel's interests include spatial analyses, especially with applications of AI and adaptative systems, geographical web services, and tele-detection methods of ABL (atmospheric boundary layer). Dr. Netzel spent a year at UC and continues his collaboration with SIL.

Anna Dmowska

Dr. Anna Dmowska works in the Department of Geoinformation in the Faculty of Geography and Geology at the Adam Mickiewicz University, Poznan, Poland. She obtained her PhD in 2012 from the Adam Mickiewicz University - the topic of her dissertation was "Spatial and temporal variability of surface water quality in postglacial catchments."  Between July 2013 - July 2016  and July 2018 - July 2020 she was a postdoctoral fellow at the Space Informatics Lab, University of Cincinnati, US. She is interested in the application of GIS and statistics to geographical research. Her current research interests are: geoinformation, dasymetric modeling, population and racial diversity dynamics and mapping racial segregation and diversity. She has been working with prof. Tomasz Stepinski on SocScape project (http://socscape.edu.pl) aiming at developing  high-resolution population and racial diversity grids for the entire conterminous United States and new approaches to study residential segregation and racial diversity in the United States.

Jakub Nowosad

Dr. Jakub Nowosad is an assistant professor in the Institute of Geoecology and Geoinformation at the Adam Mickiewicz University in Poznan, Poland. His main research is focused on developing and applying data mining and pattern-based spatial methods to large datasets in order to broaden our understanding of processes and patterns in the environment. He has been involved in various interdisciplinary collaboration on topics of automatic global ecoregionalizations, extreme precipitation modeling, terrain classifications, phenology forecasting, and soil properties determination. During his Ph.D., he had worked on predicting pollen concentration of Corylus, Alnus, and Betula using machine learning and GIS. His research interests also include spatial analysis, statistics, and programming. He has an extensive teaching experience in the fields of spatial analysis, geostatistics, statistics, and machine learning. Jakub is an avid R user and an active member of the R community.

Jacek Niesterowicz

Dr. Jacek Niesterowicz works in the Faculty of Mathematics and Natural Science at the Jan Kochanowski University in Kielce, Poland. He received his M.Sci. degree from the Adam Mickiewicz University in Poznań, Poland in 2011. His masters thesis was entitled "Identfication of actual depressions in digital elevation models of old - and young - glacial areas" and focused on distinguishing between actual and artificial depressions in digital elevation models. He was a PhD student in the Department of Geography at the University of Cincinnati and worked at the Space Informatics Lab on developing methods and software for the analysis of spatial patterns in large categorical rasters. These methods may be applied to regional, continental, and global scale land cover and topographic datasets. His current areas of interest include pattern-based analysis of raster maps, and the application of machine learning techniques to geographical research. In his work, Jacek operates mainly in open source environments such as Linux, GRASS GIS (including C programming), and R.

Elyse Allender

Dr Elyse Allender is currently a postdoctoral fellow at the University of St Andrews. She received her Bachelor of Surveying and Spatial Science with Honours from the University of Tasmania, Australia in 2011. Her thesis focused on the identification of hydrated mineralogy within gully formations at Hale crater on Mars using a combination of hyperspectral Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) data and a HIgh-Resolution Imaging Science Experiment (HiRISE) DEM. Elyse was a PhD student at the University of Cincinnati and worked at the Space Informatics Lab to develop an automated processing pipeline for fast mineral exploration of CRISM imagery. In the course of her work Elyse works with Linux in the bash environment,  writing and implementing procedures within GRASS GIS, R and ENVI+IDL.

 

Published on  October 4th, 2020