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Displaying 10 of 11 results spatial analysis clear search

Navid Mahdizadeh Gharakhanlou Member since: Wed, Dec 03, 2025 at 12:19 AM Full Member

• GIS Analyst / GIS Specialist: Experienced in applying GIS tools and spatial analysis techniques to
support decision-making in urban planning, environmental management, transportation, and infrastructure
projects. Skilled in producing high-quality maps, conducting spatial analysis, and delivering actionable
geospatial insights for operational and policy use.
• Geospatial Data Scientist: Specialized in developing spatial predictive models by integrating machine
learning and geospatial data to perform risk assessment, suitability analysis, and forecasting using large-
scale datasets such as satellite imagery, climate variables, and land-use data.
• Spatial Data Engineering & Processing: Strong ability to manage and preprocess complex geospatial
datasets, including raster and vector data, DEMs, remote sensing products, and climate projections, with
rigorous attention to spatial reference systems, accuracy, and data quality control.
• GIS Workflow Automation & Optimization: Proven experience in automating geospatial workflows
using ArcGIS Pro, ArcPy, ModelBuilder, FME (ETL), and Python to improve efficiency in spatial analysis,
data processing, and large-scale mapping tasks.
• Remote Sensing & Earth Observation Analysis: Proficient in satellite imagery processing and analysis,
including cloud masking, spectral analysis, vegetation indices, land cover classification, and temporal
change detection using Google Earth Engine and Python.
• Geospatial Visualization & Cartography: Skilled in producing professional-grade thematic maps, spa-
tial dashboards, and web-based geovisualizations to communicate complex geospatial patterns to both
technical and non-technical stakeholders.
• Cross-Disciplinary Collaboration: Experienced working with multidisciplinary teams across academia,
government, and industry to deliver geospatial solutions for planning, environmental risk assessment, and
policy-driven decision-making.

Ifigeneia Koutiva Member since: Mon, Jun 21, 2010 at 09:29 AM Full Member Reviewer

PhD in Civil Engineering, National Technical University of Athens, M.Sc. in Environmental Technology, Imperial College London, Postgraduate Diploma in Water Resources and Environmental Management (online), University of Belgrade, Mining and Metallurgy Engineering, National Technical University of Athens

Ifigeneia Koutiva (female) is a senior environmental engineer, holding a PhD in Civil Engineering (NTUA), a Postgrad Diploma in Water Resources and Environmental Management (Un. of Belgrade - e-learning), an MSc in Environmental Technology (Imperial College London) and an MSc in Mining and Metallurgy Engineering (NTUA). Her PhD was funded by the Greek Ministry of Education through Heracleitous II scholarship. She is currently a postdoctoral scholar of the State Scholarship Foundation (IKY) for 2020 - 2021. She has 10 years of experience in various EU funded research projects, both as a researcher and as a project manager, in the fields of socio-technical simulation, urban water modelling, modelling and assessment of alternative water technologies, artificial intelligence, social quantitative research, KPI and water indicators development and assessment and analysis of large data sets. She is very competent with programming for creating ICT tools for agent based modelling and data analysis tools and she is an experienced user of spatial analysis software and tools. She is also actively involved in the design and implementation of numerous consultation workshops and conferences. She has authored more than 20 scientific journal articles, conferences articles and research reports.

My research interests lay within the interface of social, water and modelling sciences. I have created tools that explore the effects of water demand management policies in domestic urban water demand behaviour and the effects of civil decision making in flood risk management. I am interested in agent based modelling, artificial intelligence techniques, the creation of ABM tools for civil society, Circular Economy, distributed water technologies and overall urban water management.

Mohammad Hossein Bagheri Member since: Tue, Oct 25, 2022 at 04:57 PM Full Member

Experienced Water Resources Specialist with a demonstrated history of research and management. Skilled in Remote Sensing Applications, Hydrology, Spatial Analysis, and Groundwater.
Strong community and social services professional with a Master’s degree focused in Water Resources Eng. from Tarbiat Modares University. Nowadays I’m studying in Water Resources Department, University of Isfahan. Iran.

• Hydrological Modeling
• Water Resources Planning and Management
• Application of Remote Sensing in Water Resources

Yiyu Wang Member since: Mon, Jun 27, 2022 at 04:25 PM Full Member

Yiyu Wang is a PhD student in Center for Spatial Analysis and Policy (CSAP), at University of Leeds. Currently her research interests are the forward-looking simulation model of pedestrian evacuating behaviours especially in emergency situations incorporating Bayesian game theory within multi-agent systems, and their interactions with other social factors.

Enrico Crema Member since: Mon, Nov 30, 2009 at 02:01 PM Full Member

PhD in Archaeology, MSc in GIS and Spatial Analysis in Archaeology, BA hons. (Laurea Magistrale) in Palaeoethnology

Saeed Moradi Member since: Thu, Jun 04, 2020 at 07:39 PM

Dr. Saeed Moradi received his Ph.D. in Civil Engineering from Texas Tech University in Lubbock, Texas. Saeed has 11+ years of experience in research, policymaking, housing sector, construction management, and structural engineering. His career developed his enthusiasm for the enhancement of post-disaster recovery plans. Through his research on disaster recovery, community resilience, and human-centered complex systems, Saeed aims to bridge the gap between social sciences and civil/infrastructure engineering.

Community and Infrastructure Resilience
Disaster Recovery
Complex Systems Modeling
Agent-Based Modeling
System Dynamics
Machine Learning
Pattern Recognition
Data Mining
Spatial Analysis and Modeling
Construction Management
Building Information Modeling

Liliana Perez Member since: Thu, Oct 11, 2018 at 01:15 PM Full Member

B.Eng, Geomatics, Distrital University, Colombia, MSc., Geography, UPTC, Colombia, Ph.D., Geography, Simon Fraser University, Canada

My initial training was in cadastre and geodesy (B.Eng from the Distrital University, UD, Colombia). After earning my Master’s degree in Geography (UPTC, Colombia) in 2003, I worked for the “José Benito Vives de Andreis” marine and coastal research institute (INVEMAR) and for the International Center for Tropical Agriculture (CIAT). Three years later, in 2006, I left Colombia to come to Canada, where I began a PhD in Geography with a specialization in modelling complex systems at Simon Fraser University (SFU), under the direction of Dr. Suzana Dragicevic (SAMLab). In my dissertation I examined the topic of spatial and temporal modelling of insect epidemics and their complex behaviours. After obtaining my PhD in 2011, I began postdoctoral studies at the University of British Columbia (2011) and the University of Victoria (2011-2013), where I worked on issues concerning the spatial and temporal relationships between changes in indirect indicators of biodiversity and climate change.

I am a Full Professor in the Department of Geography at the University of Montreal. My research interests center around the incorporation of artificial intelligence and machine learning techniques into the development Agent-Based Models to solve complex socio-ecological problems in different kind of systems, such as urban, forest and wetland ecosystems.

The core of my research projects aim to learn more about spatial and temporal interactions and relationships driving changes in our world, by focusing on the multidisciplinary nature of geographical information science (GIScience) to investigate the relationships between ecological processes and resulting spatial patterns. I integrate spatial analysis and modeling approaches from geographic information science (GIScience) together with computational intelligence methods and complex systems approaches to provide insights into complex problems such as climate change, landscape ecology and forestry by explicitly representing phenomena in their geographic context.

Specialties: Agent-based modeling, GIScience, Complex socio-environmental systems, Forestry, Ecology

Andrew Crooks Member since: Mon, Feb 09, 2009 at 08:11 PM Full Member

Andrew Crooks is an Associate Professor with a joint appointment between the Computational Social Science Program within the Department of Computational and Data Sciences and the Department of Geography and GeoInformation Science, which are part of the College of Science at George Mason University. His areas of expertise specifically relate to integrating agent-based modeling (ABM) and geographic information systems (GIS) to explore human behavior. Moreover, his research focuses on exploring and understanding the natural and socio-economic environments specifically urban areas using GIS, spatial analysis, social network analysis (SNA), Web 2.0 technologies and ABM methodologies.

GIS, Agent-based modeling, social network analysis

MohammadAli Aghajani Member since: Tue, Aug 26, 2014 at 03:06 PM Full Member Reviewer

Master of Science (Urban Planning), Bachelor , Surveying , Amirkabir University

I am a FullStack Developer & GIS Specialist with a proven track record in developing GIS-driven software solutions, urban planning tools, and spatial analysis platforms. With expertise in technologies, I combine technical skills with leadership to deliver impactful projects that bridge technology and geospatial innovation.

Agent Based Modeing in geosimulation

GeoSimulation
GeoWeb
GeoAI

Xavier Rubio-Campillo Member since: Mon, Nov 18, 2013 at 12:49 PM

Computer Science, PhD in Heritage Studies

My interests are focused on the development of new methodologies capable of exploring the complex relations between time, space and human behavior. Simulation, game theory and spatial analysis are some of the techniques that I use to explore different research questions, from the relation between environment and culture to the evolution of warfare.
I’m also the project manager of Pandora, an open-source ABM platform specifically designed for executing large scale simulations in High-Performance Computing environments.

Displaying 10 of 11 results spatial analysis clear search

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