Displaying 10 of 102 results for "Curtis W Marean" clear search
Research focuses on the coupled dynamics of human and natural systems, specifically in the context of forest dynamics. I utilize a variety of modeling and analysis techniques, including agent-based modeling, cellular automata, machine learning and various spatial statistics and GIS-related methods. I am currently involved in projects that investigate the anthropogenic and biological drivers behind native and invasive forest pathogens and insects.
Currently doing a program evaluation of a GIZ reforestation project in the north of Mato Grosso state, Brazil (transition area from savannah to Amazon forest). Adoption of Agroforestry Systems by lower income farmers was the goal.
My research interests fall at the intersection of Middle East area studies and political sociology. I am interested in the interaction between regime repression and contentious mobilization in (mostly Arab) authoritarian regimes.
I am a PhD candidate in machine learning and cybersecurity, in the mean time I am also the laboratory director of the AI Testing Laboratory of CLR Labs where I work with a beautiful team of passionate and brilliant people on evaluating neural networks from robustness to system’s cybersecurity and explainability, I am based in the Marseille area, between sea, mountains and buildings.
I am a proud husband, father of one and son.
I study how deep models break and how to make them unbreakable — adversarial robustness, model security, and the geometry of learned representations applied to cyber threats.
Muaz is a Senior Member of the IEEE and has more than 15 years of professional, teaching and research experience. Muaz has been working on Communication Systems and Networks since 1995. His BS project in 1995 was on the development of a Cordless Local Area Network. In 1996, his postgraduate project was on Wireless Connectivity of devices to Computers. In addition to his expertise as an Communications engineer, his areas of research interest are in the development of agent-based and complex network-based models of Complex Adaptive Systems. He has worked on diverse case studies ranging from Complex Communication Networks, Biological Networks, Social Networks, Ecological system modeling, Research and Scientometric modeling and simulation etc. He has also worked on designing and developing embedded systems, distributed computing, multiagent and service-oriented architectures.
Dr. Dawn Parker is a professor at the University of Waterloo in the School of Planning. Her research focuses on the development of integrated socio-economic and biophysical models of land-use change. Dr. Parker works with agent-based modeling, complexity theory, geographic information systems, and environmental and resource economics. Her current ongoing projects include Waterloo Area Regional Model (WARM) Urban intensification vs. suburban flight, a SSHRC funded development grant that explores the causal relationships between light rail transit and core-area intensification, and the Digging into Data MIRACLE (Mining relationships among variables in large datasets from complex systems) project.
My research focuses on applied marine ecology and environmental management, particularly with coastal fish assemblages. Research interests include fish ecology, environmental monitoring and assessment methodology and individual-based models.
I have been working in the software implementation of different kinds of complex networks inspired in real-life populations. My software may be classified on several categories: complex networks, Aedes aegypti development, dengue epidemics, cultural behavior of populations. I am also researching in education of Deaf people in Colombia.
This is Saeed Abdolhosseini. I am very interested in the area of agent based modeling and it is about 3 years that I am working on Agent-Based Modeling. I have a good experience of working with Netlogo &Repast simphony & Anylogic. I have developed a few ABM application.
Specialties: Agent-based models of social systems
Agent Based Modeling
The main research area is operation research in logistics with a focus on logistic cluster development and innovative technology usage. Due to mathematical background, Gružauskas focuses on quantitative analysis by conducting simulations, stochastic and dynamic models and other analytical approaches to amplify the developed theories. Gružauskas also is working as a freelance data analyst with a focus on statistical analysis, web scraping and machine learning.
Displaying 10 of 102 results for "Curtis W Marean" clear search