Advisory Board and Editors Spatial & Geographic Information Systems
Ioannis Gitas
Ioannis Gitas is a Professor at the Laboratory of Forest Management and Remote Sensing, Aristotle University of Thessaloniki, Greece, and an elected fellow of the Cambridge Philosophical Society. His research has focused on remote sensing and GIS applications in environmental monitoring, with emphasis on forest fire management and land cover/land use mapping and change detection. He has been involved in various national and international projects and has long experience working as a consultant in GIS/RS issues for national and international organisations, as well as for the industry. Also, he has served as a project proposal reviewer for a number of national and international research organisations. Dr. Gitas received his PhD and M.Phil. degrees in GIS and Remote Sensing from the Department of Geography, Cambridge University, U.K., and a B.Sc. degree in Forestry and Natural Environment from the Aristotle University of Thessaloniki, Greece. He is an Associate Editor of Remote Sensing and has edited special issues for a number of high impact factor journals. In addition, he has substantial experience in organising international workshops and conferences. Ioannis Gitas is currently the Chair of the Special Interest Group on Forest Fires of the European Association of Remote Sensing Laboratories (EARSeL, FFSIG), the FAO Forest Resources Assessment - Remote Sensing Survey contact point for Greece, and is a member of the GOFC-GOLD Fire Implementation Team.
Feng Gu
Feng Gu is currently an associate professor of computer science at College of Staten Island, The City University of New York, and the doctoral faculty member of Graduate Center of The City University of New York. He is the recipient of Natural Science Foundation Research Initiation Award. His research interests include modeling and simulation, complex systems, high performance computing, and bioinformatics.
Robert J Hijmans
Robert Hijmans is a professor in the Department of Environmental Science and Policy at the University of California, Davis. Prior to joining UC Davis, he held positions at the International Potato Center (Peru), the International Rice Research Institute (Philippines) and at the UC Berkeley Museum of Vertebrate Zoology. His research focuses on spatial data analysis in biodiversity, agriculture, and health, and he has developed widely used software and databases to support such work. He has a PhD in Production Ecology from Wageningen University (Netherlands).
Alban Kuriqi
Interested in interdisciplinary research, scientific writing, science communication, teaching, and offering consultancy for the industry. My core research interests and expertise include renewable energy—focusing on hydropower and complementarity resources, hydropower impacts, river restoration and management, e-flows, floods, droughts, climate change, fluvial hydraulics, sediment transport in open-channel flows; embankment structures; hydraulic structures; Sustainable Drainage Systems (SuDS), long-term meteorological and hydrologic trends and variability analysis, ecohydraulics, ecohydrology, and artificial intelligence applications in the field hydraulics and hydrology.
Carl P. Lipo
A Professor of Anthropology and Director of the Environmental Studies Program at Binghamton University in New York.
Brendan P Malone
My research focus is in using quantitative methods to precisely understand how soils function and change- spatially, and through time.
I research methods for comprehensive digital soil mapping aiming to characterize soil both in the lateral and vertical dimensions.
I research methods for quantifying (and validating) measures of uncertainty for these comprehensive soil information systems.
I investigate innovative systems for soil measurement, which includes that associated with remote and proximal and soil sensing instrumentation. I have particular interest in infrared and x-ray spectroscopy.
Gang Mei
Dr. Gang Mei is an Associate Professor in Scientific Computing in Engineering at China University of Geosciences (Beijing). He received his Ph.D degree in 2014 from the University of Freiburg in Germany. His main research interests are in the areas of Numerical Simulation and Computational Modeling, GPU Computing, Machine Learning, Data Mining, and Network Science and Applications. He is the IEEE Member, and has served as an Academic Editor for the journals IEEE Access, and PeerJ Computer Science.
Petteri Muukkonen
Dr. Petteri Muukkonen is a senior lecturer in geoinformatics. He is a geographer, and specifically owns a strong background in biogeography and in geoinformatics. He has mainly studied various biogeography and forestry themes in the boreal forest environment. For example, Dr. Muukkonen has studied carbon sequestration and carbon cycle, biomass surveys and monitoring, spatial autocorrelation of soil characteristics, landscape fragmentation, habitat changes and remote sensing of forest landscape. Geoinformatics (GIS and remote sensing) has been present in some way in all of his research topics.
Agricola Odoi
Agricola Odoi, BVM, MSc, PhD, FAHA, FACE, Dipl. AVES (Hon) is a Professor of Epidemiology with specific interests and expertise in geographic and quantitative epidemiology. He earned his veterinary degree from Makerere University (Uganda), MSc in Epidemiology and Animal Health Economics from University of Nairobi (Kenya) and PhD in Epidemiology from University of Guelph (Canada).
Dr. Odoi’s research involves use of Geographical Information Systems (GIS) and Spatial Epidemiology to investigate health disparities and the impact of place on health outcomes and access to health services. He has used these approaches in the investigation of vector-borne, water-borne and chronic diseases. His investigations have focused on identifying the influence of place of residence on health so as to provide information to guide health planning and policy decisions.
He has been actively involved in research on the epidemiology of prediabetes, diabetes, heart disease and stroke. Using GIS and spatial epidemiologic tools, Dr. Odoi has also been involved in research investigating vector distribution, habitat preference and predictors of geographic distribution of vectors and hence risk of a number of vector-borne diseases. As a result of his significant research contributions he was inducted a Fellow of the American Heart Association (FAHA), Fellow of the American College of Epidemiology (FACE) and received an Honorary Diplomate of the American Veterinary Epidemiology Society (Dipl. AVES).
Gabriella Pasi
Gabriella Pasi is Full Professor at the University of Milano Bicocca, Italy, where she leads the Information Retrieval research Lab within the Department of Informatics, Systems and Communication. Her research activity mainly addresses the definition of models and techniques for a personalized access to information (in particular related to the tasks of information Retrieval and Filtering). She is also working on the analysis of user generated content in social media.
Tarek Rashed
ٍSenior Research Professor and Director of Geoinformatics at the Polis Center, IUPUI. Dr Rashed is a Geospatial Information Technologies Research Scientist with over 24 years of experience in GIS and spatial decision making and their applications. His research interests span several areas including geographic information science, remote sensing, smart cities, big data, disaster risk management, mitigation, multicriteria decision making, urban resilience, and planning.
Mauro Rossi
Mauro Rossi is an expert on mapping, modeling and forecasting of landslides, floods and erosion processes in different geo-environmental and anthropic contexts. He has developed (i) new methodologies for statistical and deterministic analysis of the susceptibility and hazard posed by different geo-hydrological phenomena and for the estimation of their impacts, (ii) new statistical approaches to the definition of rainfall thresholds for triggering Landslides, (iii) early warning systems, (iv) approaches to the design optimal models for estimating landslide susceptibility and for the assessment of social risk posed by landslides and floods. He has also developed specific softwares for the landslide susceptibility modelling, for the landslide magnitude modelling and for the joint modeling of landslides and erosion processes in relation to different scenarios of geomorphological, climatic, vegetational and anthropic changes, in order to adequately characterize the hillslopes and the hydrological basins dynamics.