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Dr. Cheick Amed Diloma Gabriel Traore is a researcher specializing in modeling multi-agent systems. He earned his PhD from Cheikh Anta Diop University (UCAD) in Senegal. His doctoral research focused on the formalization and simulation of Sahelian transhumance as a complex adaptive system. Utilizing mathematical and computational techniques, he developed agent-based models to analyze the spatiotemporal dynamics of transhumant herds, taking into account factors such as herd behavior, environmental conditions, and socio-economic pressures.
To design the models for his dissertation, Dr. Traore conducted extensive fieldwork in Senegal. He collaborated with interdisciplinary teams to collect data on transhumant practices within the Sahelian ecosystem. With this data, he created a multi-objective optimization framework to model the movement decisions of transhumants and their herds. Additionally, he developed a real-time monitoring system for transhumant herds based on discrete mathematics. His doctoral research was funded by the CaSSECS project (Carbon Sequestration and Sustainable Ecosystem Services in the Sahel).
Before pursuing his PhD, Dr. Traore obtained both a master’s and a bachelor’s degree in mathematics from Nazi Boni University in Burkina Faso. During his studies, he developed a rectangular grid for image processing and applied the Hough transform to detect discrete lines. His master’s and bachelor’s degrees were funded by the Burkinabe government.
Currently, Dr. Traore is an Assistant Professor at the Institute of Computer Engineering and Telecommunications at the Polytechnic School of Ouagadougou. In addition to his role in student training, he is working on integrating viability theory with agent-based modeling to address sustainable development challenges in rapidly changing and complex socio-economic systems. His research has been published in several renowned conferences and scientific journals, and he continues to actively contribute to the fields of complex systems modeling and image processing.
I study small- and large-scale sustainable resource management using a variety of techniques including mathematical modeling, agent-based simulation, and Statistical Inference
Prehistoric archaeology of hunter-gatherer societies in Mesoamerica and American Southeast; comparative analysis of urban form and service provision; social inequality; complex adaptive systems; cultural evolution.
Inyoung Hwang is an Associate Research Fellow at Korea Institute of Science & Technology Evaluation and Planning (KISTEP), South Korea. He was a visiting scholar in the School of Public Affairs at Arizona State University. He received a B.Sc. in Vocational Education and Workforce Development, an M.P.P. in Public Policy, and a Ph.D. in Public Policy from Seoul National University.
Science & Technology Policy, Collaborative Innovation, Technological Diffusion and Convergence, Agent-Based Modelling, and Social Simulation.
Modelling of socio-ecological systems and management of common property resources in artisanal fisheries. Population dynamics of coastal marine invertebrates exploited by artisanal fisheries.
My main research field is health economic modeling with the main focus on sexually transmitted diseases. We are trying to build a agent-based model using the FLAME-framework (www.flame.ac.uk).
Water resource economics, natural resource economics, environmental economics, ecological economic modeling, ecological economics, environmental policy, development economics.
Industrial Engineering, Multi-criteria Decision Making, Optimization Techniques, Global/International Facility Location, Agent-based Modeling
Doing research on how the flood insurance system in the UK should be structured in the future to make it resilient for environmental change.
PhD student in the Agent Systems Research Group of the Department of Artificial Intelligence at the VU University Amsterdam. Current research focuses on Modeling Human Behavior and exploring Serious Games interactions with humans.
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