Assistant Professor in the department of computer systems technology at North Carolina A & T State University. Research interests: Big data Analytics, Cloud Computing, Topic Modelling, and Geo Spatial information systems. Member of IEEE, ACM, and ASEE. Published more than 50 referred journal and conference papers and 4 book chapters.
Ilkay Altintas is a research scientist at SDSC, UCSD since 2001. She has worked on different aspects of data science and scientific computing in leadership roles across a wide range of cross-disciplinary projects. She is a co-initiator of and an active contributor to the open-source Kepler Workflow System, and co-author of publications at the intersection of scientific workflows, provenance, distributed computing, bioinformatics, sensor systems, conceptual data querying, and software modeling.
* St.Petersburg Polytechnic University
Professor of Water Management and Hydraulic Construction Department
* St.Petersburg State University
Professor of Cartography and Geoinformatics Department
Geoinformation systems (GIS) in regional planning and land use management
BIM & laser scanning; Coupling of environmental physics models and GIS; Agroecosystem modeling in GIS environment; Fuzzy logic methods for decision support in GIS environment.
2011-2014 GIS for drainage system monitoring in Leningrad oblast'
2009-2010 GIS for support of investment program of "RusHydro" company
2001-2004 Information system for the register of the underwater potentially dangerous objects of Russian Federation
1998-2001 GIS for natural resource evaluation in Leningrad oblast'
2017-…. Research and development of algorithms and software for the processing, storage and visualization of laser scanning and photography data
Claudia Bauzer Medeiros is full professor of databases at the Institute of Computing, University of Campinas (Unicamp), Brazil. She has received Brazilian and international awards for research, teaching, and for her work in fostering the participation of women in IT-related activities. Reserch centered on the management of scientific data and eScience, in particular involving agro-environmental planning, biodiversity, workflow systems and geographic information.
Dr Michela Bertolotto obtained her PhD in Computer Science from the University of Genova (Italy). She is currently an Associate Professor at the School of Computer Science, University College Dublin.
Her main interests are in Spatial Information Systems and Science.
Licia is a Reader (Associate Professor) in the Dept of Computer Science at University College London. She conducts research in the area of ubiquitous computing. Specific topics include: crowd-sourcing and crowd-sensing, urban computing, location-based services, recommender systems, data mining for development. The aim of her research is to provide developers with abstractions and algorithm to ease application development, and end users with better experiences when interacting with technology.
Marco Cavalli graduated (B.Sc.+ M.Sc) in 2002 in Forest and Environmental Sciences at the University of Padova, Italy. In 2003 he obtained a postgraduate Master degree in "Hydrogeological hazard assessment and mitigation". In 2009 obtained the PhD in Environmental Watershed Management in 2009 at the TeSAF (University of Padova) with a thesis on "Hydrological and morphological characterization of mountain basins by means of airborne LiDAR technology”. Since 2009 Marco Cavalli is Researcher at CNR-IRPI of Padova. His research interests include: Geomorphometry, Airborne Laser Scanning technology (LiDAR) and high-resolution DTMs applications, Geomorphic processes in mountain catchments, Post Flash flood investigation, analysis of historical information, GIS and surface hydrology. Currently, his main interest is related to sediment connectivity assessment through geomorphometric approaches.
He is\was scientific responsible or coordinator of CNR IRPI in several National and European projects (SedAlp, GESTO, Gadria Project, KINOFLOW). Since 2011 he is teaching a course for PhD and post doc researchers entitled 'Geomorphometry: quantitative analysis of earth surface' at the University of Padova. He is\was supervisor of three research grants at CNR IRPI, co-advisor of two PhD and several B.S. and M.S. theses of the University of Padova, Udine, Wageningen, Stockholm on geomorphology and hydrology fields. He is author and co-author of more than 50 papers in international journals.
Tianfeng Chai is an Associate Research Scientist at CICS-MD and the Department of Atmospheric & Oceanic Science, University of Maryland, College Park, Maryland, USA. He got his master and bachelor degrees from Tsinghua University in Beijing, majoring in Fluid Mechanics, Engineering Mechanics, and Environmental Engineering. He earned his Ph.D. at the University of Iowa, with his dissertation of "Four-Dimensional Variational Data Assimilation Using Lidar Data" focusing on atmospheric boundary flow. He then worked with Dr. Greg Carmichael to develop chemical transport model adjoints and computational framework for data assimilation applications before moving to working on the NOAA National Air Quality Forecast Capability (NAQFC) project in 2007. He currently works on the inverse modeling problems using HYSPLIT (Hybrid Single Particle Lagrangian Integrated Trajectory Model) to support several projects at NOAA Air Resources Laboratory.
Simon's professional focus is informatics applied to earth and environmental sciences. Starting in geophysics and mineral exploration, he recognised patterns in information structures that are common across multiple applications or domains, and are thus amenable to standardized cross-domain solutions. In support of this goal, he has engaged in various international standardization efforts, primarily in geospatial and web communities. A consistent conceptual view has been adapted to successive technology frameworks, including XML, UML, JSON, RDF, OWL, and Linked Data. His current work is mainly aligning geospatial information standards with semantic web technologies and linked open data principles, with a particular focus on governance arrangements and vocabulary publication and management.
Dr Cox was awarded the 2006 Gardels Medal by OGC, and was selected to present the 2013 Leptoukh Lecture for AGU.
My research interest focuses on Planetary Science, Geoinformatics and Geophysical data acquisition (both in the field and from remote sensing instruments), processing and comparative analysis of dataset with different data models (e.g. topography, spectral and visible imagery and radar). I use and develop GIS tools to enable quantitative spatial analysis in my research activity.
I'm part of Scientific Teams of instruments onboard mission to Mars (ESA's Mars Express and NASA's MRO) and asteroids belt's Vesta and Ceres (NASA's Dawn).
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 was an assistant professor of computer science at Voorhees College from 2010 to 2013. He is currently an assistant 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.