Community

Bin-Tzong Chie Member since: Thursday, April 25, 2013

Dr.

Agent-Based Modeling

wborkowski Member since: Friday, July 13, 2012

PHD

computer simulations of biological macroevolution; dynamics and evolution in social and systems, also memetics and macromemetics - evolution of culture

Robert Canales Member since: Tuesday, October 22, 2013

Environmental Engineering, PhD, Statistics, MS

I use agent-based systems, stochastic process, mass balance models and computational statistics in exploring human exposure assessment.

Giorgio Gosti Member since: Tuesday, January 13, 2015

Magistral Degree, Physics, University of Rome, “La Sapienza”, Italy, Dottorato, Computer Science and Mathemaatics, University of Perugia, Italy, PhD, Institute for Mathematical Behavioral Sciences, Social Science, University of California, Irvine

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.

Mazaher Kianpour Member since: Thursday, October 25, 2018 Full Member

B.Sc., Computer Engineering, Payame Noor University, M.Sc., Computer Engineering, Shahid Beheshti University, Ph.D., Information Security, Norwegian University of Science and Technology

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.

Xavier Rubio-Campillo Member since: Monday, November 18, 2013

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.

Dana Kaziyeva Member since: Friday, October 12, 2018

Spatial simulations in transport modelling domain

Harsha Krishna Member since: Tuesday, July 10, 2018 Full Member

I develop simulation tools for generating what-if scenarios for decision making. I predominantly use Agent-Based Modelling (ABM) technique as most of my simulations model complex systems. In some cases, I have extended existing tools with modifications to model the given system. Although the tools are meant for research purposes, I have followed industry friendly delivery mechanisms, such as unit-tests, autmated builds and delivery on cloud platforms.

  • Agent-Based Modelling
  • Complex Social Systems
  • Gaming-Simulations

Richard Harmon Member since: Friday, September 15, 2017

PhD - Economics, Georgetown Univ

Deniz Kayar Member since: Tuesday, July 24, 2018 Full Member

Machine Learning, Artifical Inteligence, Multi Agent Simulations

This website uses cookies and Google Analytics to help us track user engagement and improve our site. If you'd like to know more information about what data we collect and why, please see our data privacy policy. If you continue to use this site, you consent to our use of cookies.