Advisory Board and Editors Spatial & Geographic Information Systems
Rajeev Agrawal
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.
Hazrat Ali
Hazrat Ali is a researcher in Artificial Intelligence and Healthcare. He served as an Assistant Professor at Department of Electrical and Computer Engineering, COMSATS University Islamabad, Abbottabad Campus, Abbottabad. His research interests lie in unsupervised learning, generative and discriminative approaches, medical imaging and speech and image processing. He has published more than 50 research articles in peer-reviewed journals and conferences. He is an Associate Editor at IEEE and served as a reviewer at many journals and conferences including IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Medical Imaging, IET Signal Processing, Springer Neural Processing Letters, ACM Transactions on Asian and Low Resource Language Information Processing, Elsevier Computers and Electrical Engineering, ACL 2020, MICCAI 2020. He was selected as young researcher at the 5th Heidelberg Laureate Forum, Heidelberg, Germany. He was selected as a fellow of the DAAD AI-Networking Fellowship Tour 2021.
Ilkay Altintas
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.
Valentina Emilia Balas
Valentina E. Balas is currently Full Professor at the Faculty of Engineering, “Aurel Vlaicu” University of Arad, Romania.
She holds a Ph.D. in Applied Electronics and Telecommunications from Polytechnic University of Timisoara. Dr. Balas is author of more than 350 research papers. Her research interests are in Intelligent Systems, Fuzzy Control, Soft Computing.
She is the Editor-in Chief to IJAIP and to IJCSysE, and is evaluator expert for national, international projects.
Dr. Balas is the director of Intelligent Systems Research Centre in Aurel Vlaicu University of Arad and Director of the Department of International Relations.
She served as General Chair of SOFA conferences in nine editions organized in the interval 2005-2020 and held in Romania and Hungary.
Dr. Balas participated in many international conferences as Organizer, Honorary Chair, Session Chair, member in Steering, Advisory or International Program Committees and Keynote Speaker.
She is a member of EUSFLAT, member of SIAM and a Senior Member IEEE, member in TC Fuzzy Systems (IEEE CIS), chair of the Task Force 14 in TC Emergent Technologies (IEEE CIS), member in TC Soft Computing (IEEE SMCS).
Dr. Balas was past Vice-president ( Awards) of IFSA -(2013-2015), is a Joint Secretary of the Governing Council of Forum for Interdisciplinary Mathematics. She is the recipient of the "Tudor Tanasescu" Prize from the Romanian Academy for contributions in the field of soft computing methods (2019) and “Stefan Odobleja” Prize from Romanian Academy of Scientists (2023).
Michela Bertolotto
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 Capra
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
Marco Cavalli 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
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.
Matt Duckham
Matt is a Professor of Geospatial Sciences, RMIT University, and Director of the RMIT Information in Society EIP (Enabling Impact Platform). Prior to moving to RMIT University in 2015, Matt was a Professor at the University of Melbourne, where he had also held an ARC Future Fellowship (2010-2014). He moved to Australia in 2004 from the US NCGIA (National Center for Geographic Information and Analysis) at the University of Maine, USA.
His research is connected with spatial reasoning and computing with uncertain and imperfect geospatial information, with applications to defence, emergency response, transportation, and environmental monitoring. Matt is an author of the widely used university textbook "GIS: A Computing Perspective" now in its third edition.
Alicia Fornes
Alicia Fornés is a Staff Scientist in the Document Analysis Group within the Computer Vision Center at the Universitat Autònoma de Barcelona.
Her research interests include document image analysis, graphics recognition, digital humanities, handwriting recognition, historical documents and optical music recognition.
Alessandro Frigeri
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 datasets with different data models (e.g. topography, spectral and visible imagery and radar). I use and develop GIS tools for quantitative spatial analysis in my research activity.
I'm part of Scientific Teams of instruments onboard missions to Mars (ESA's Mars Express and NASA's MRO) and asteroids belt Vesta and Ceres (NASA's Dawn).
Tilottama Ghosh
Dr. Tilottama Ghosh has ten years of experience with low light imaging data from the U.S. Air Force Defense Meteorological Satellite Program (DMSP), and Visible Infrared Imaging Radiometer Suite (VIIRS) data from 2013 onwards. Products generated include VIIRS Nightfire, VIIRS Boat Detection, VIIRS Nighttime Lights, and DMSP-OLS Nighttime Lights. Experience working with low light imaging data has included processing historic lunar cycle composites, monthly and annual cloud-free global mosaics of nighttime lights composites, creating metadata documenting generated data products, fulfilling data requests related to the nighttime lights products and the DMSP archive, providing training in the use and implementation of nighttime lights software to scientists and researchers, documenting DMSP and VIIRS algorithms and accomplishments through manuals, conference proceedings, and journal submissions. She has conducted many significant socio-economic research and analysis using DMSP and VIIRS nighttime lights, and prepared publishable materials. Her research interests include- socio-economic estimations using nighttime lights, studying sustainable growth of cities, urbanization and population growth.