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Mazaher Kianpour is a PhD candidate at NTNU. He holds a Bachelor’s degree in Computer Engineering (Software) from the Payame Noor University. He obtained his Master’s degree in Architecture of Computer Systems from Shahid Beheshti University, Tehran, Iran. He started his PhD in Information Security at NTNU in May 2018. His PhD research lies at the intersection of economics and information security with a socio-technical perspective. He has several years of work experience at Tehran University of Medical Sciences, and his professional training includes Computer Networks, Cybersecurity and Risk Management.
My main research interest is modelling of information security, business operations and deterrents in complex ICT ecosystem. I will in particular focus on the complex interaction between various stakeholders and actors in the information security business domain. In order to model and better understand the information security ecosystem, I rely on agent-based simulation and quantitative modelling techniques such as stochastic modelling, discrete event simulations and game theory. Of particular interest is to gain increased understanding on how various security threats and measures influence business operations in the digital ecosystem.
I am currently enrolled as a graduate student at UC3M, working towards a MS degree in Computational and Applied Mathematics. Upon completing my current program, my intention is to further my education in Applied Economics, with a specific focus on the intersection of Climate and Development Economics.
My research pursuits center around investigating the impacts of climate change on developing nations. Additionally, I am interested in studying the repercussions of fast fashion consumption, examining its effects on working conditions, the environment, and the overall well-being of individuals in the countries where these garments are manufactured. In my ongoing master’s thesis, I employ Agent-Based Modeling to simulate the attitudes of individual consumers towards fast fashion. The model captures behavioral shifts influenced by peers, social media, and governmental factors. This research aligns with my broader interests in comprehending public perspectives on global matters, underscoring the crucial influence of individual attitudes in confronting and finding solutions to these challenges.
Development Economics, Environmental Economics, Sustainability, Environment, Climate change, Climate justice, Energy, Clean Energy, Renewable Energy, Complex systems
Bashar Ourabi is a principle consultant at arabianconsult of Syria where he has been chairman since 2003. He holds Bsc. Eng., A Grad. Certificate in Project engineering from the University of Central Florida; and a MS. in Public Administration from the Doha Graduate Institute in Qatar.
Bashar completed his graduate studies at Doha Institute for Graduate Studies and his undergraduate studies at the Unversity of Central Florida. His research interests lie in the area of systems modelling, ranging from theory to design to implementation. He has collaborated actively with researchers in several other disciplines of computer science, system design, and bigData Artificial Intellegence, particularly BigData Expert System and Automated decision Making.
He has served on many international posts overlooking public infrastructure design and operations, varying from public transport, urban design and operations management. These posts spanned over the the US and the Middle East including Florida, UAE and Qatar.
Bashar has served on many conferences and workshop program committees and has succesfully delivered many corporate training programs..
BigData
Artificial Intellegence
Web Based Decision Making and Expert Systems
Fuzzy Logic
AgentBased Modelling
Discret Event Simulation
Corporate Support Systems
Three fields interest me in research: the study of market from a behavioral point of view, focusing on loyalty, trust, quality convention; then the study of institutions, their dynamics and the predictions/diagnostics that can be made following Ostrom’s IAD framework; eventually discussions on epistemology and validation about ABM.
BIGSSS-Departs PhD Fellow
Bremen International Graduate School of Social Sciences / Jacobs University (Germany)
PhD project: Residential Segregation and Intergenerational Immigrant Integration: A Schelling-Esser Model
Italian PhD fellow, fond of social complexity and agent-based modeling, applied to residential segregation and integration processes
Research Interests: Agent-based modeling, migrant integration, residential segregation
Working on decision modeling in emergency healthcare. We are trying to design and develop service machine for emergency medical services.As a part of that, we are developing agent based models for emergency medical services
My research focuses pn the intersection between game theory, social networks, and multi-agent simulations. The objectives of this scientific endeavor are to inform policy makers, generate new technological applications, and bring new insight into human and non-human social behavior. My research focus is on the transformation of cultural conventions, such as signaling and lexical forms, and on many cell models models of stem cell derived clonal colony.
Because the models I analyze are formally defined using game theory and network theory, I am able to approach them with different methods that range from stochastic process analysis to multi-agent simulations.
I am Professor of Management at Paris School of Business and have held positions at the University of Southern Denmark, Bournemouth University (UK), University of Wisconsin (US), and at the University of Insubria (Italy). My current research efforts are on socially-based decision making, agent-based modeling, cognitive processes in organizations and socially responsible behavior in organizations. With a coauthor network of 50 colleagues located in over 10 different countries, I have published 126 (as of 2025) among articles, book chapters, and books. The monograph Computational organizational cognition (2021, Emerald), and the edited Agent-Based Simulation of Organizational Behavior with M. Neumann (2016, Springer Nature) specifically target computational simulation research in the social sciences. The book How do I Develop an Agent-Based Model? (2022, Elgar) is the first specifically written for business and management scholars.
My simulation research focuses on the applications of ABM to organizational behavior studies. I study socially-distributed decision making—i.e., the process of exploiting external resources in a social environment—and I work to develop its theoretical underpinnings in order to to test it. A second stream of research is on how group dynamics affect individual perceptions of social responsibility and on the definition and measurement of individual social responsibility (I-SR).
I am a computational archaeologist and Professor of Anthropology at San Diego State University, where I direct the Computational Archaeology Laboratory. My research integrates geospatial analysis, agent-based and simulation modeling, and complex adaptive systems theory to investigate long-term human–environment interactions, with particular attention to socio-environmental change associated with early farming and herding in Mediterranean and other semi-arid landscapes. I have conducted field and modeling research in regions including Italy, Jordan, and Central Asia, and my work spans landscape archaeology, land-use dynamics, and environmental modeling. I have been a member of the CoMSES community for well over a decade and have contributed multiple models to the Computational Model Library, several of which have undergone formal peer review. In addition to research, I regularly teach with agent-based models at undergraduate and graduate levels and use CoMSES models as both research and pedagogical resources. I am committed to open, reproducible, and theoretically informed computational modeling and to strengthening the role of peer-reviewed models as durable scholarly contributions.
Computational Archaeology, Food Production, Forager-Farmer transition, Neolithic, Agro-pastoralism, Erosion Modeling, Anthropogenic Landscapes, Geoarchaeology, Modeling and Simulation, GIS, Imagery Analysis, ABM, Mediterranean
Doctor and Magister in Informatics by the Girona University (Spain), Telematics Engineer and Systems Technologist by the Francisco José de Caldas University (Bogotá, Colombia), Specialist in Databases Management, and Specialist in Higher Education. Currently, associate professor and researcher at the Fundación Universitaria Konrad Lorenz (Bogotá, Colombia). Academic leader of the Konrad IA project (IA - Artificial Intelligence). Associated researcher by the science and technology Colombian ministry.
CoMSES.Net is a good community space to share knowledge regarding agent based and computational models that are built based upon a wide variety of contexts (social, political, educational, scientific, biological, etc.). Thus, the CoMSES.Net should be known in all regions around the world. Moreover, as I belong to the Spanish-speaking community, it would be very interesting to publicize what the network does in Spanish-speaking countries.
Research topics: Inmersive Technologies, Educational Technologies, Web Accessibility and Usability, Sematic Web, Artificial Intelligence.
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