Community

Peter Hayes Member since: Wednesday, January 04, 2012

BS Electrical Engineering, MS Environmental Studies, MA Economics, PhD Computational Resource Economics (interdisciplinary - in process)

I am investigating the use of machine learning techniques in non-stationary modeling environments to better reproduce aspects of human learning and decision-making in human-natural system simulations.

Christopher Parrett Member since: Sunday, October 20, 2019 Full Member

I am a lowly civil servant moonlighting as a PhD student interested in urban informatics, Smart Cities, artificial intelligence/machine learning, all-things geospatial and temporal, advanced technologies, agent-based modeling, and social complexity… and enthusiastically trying to find a combination thereof to form a disseration. Oh… and I would like to win the lottery.

  • Applied data science (machine/deep learning applications) and computational modeling (agent-based
    modeling) in U.S. Government
  • Geographic Information Systems and analysis of dense urban environments and complex terrain
  • Complexity theory and computational organizational design of distributed enterprise teams.
  • Human Capital Management and Talent Management policy development

Mirsad Hadzikadic Member since: Thursday, January 12, 2012 Full Member Reviewer

PhD Computer Science, SMU, MPA, Harvard University

Complex adaptive systems, complexity, systems science, creativity, data mining, machine learning, economic and health systems, science education

Eo SeungWon Member since: Thursday, August 03, 2017 Full Member Reviewer

B.A. Urban Studies, UC Berkeley., MSc. Geographic Information Science, Seoul National University.

GIS enthusiast and ABM practitioner

Urban Mobility
Machine Learning
Social Network Analysis
Crime Simulation

Mariam Kiran Member since: Friday, August 17, 2012 Full Member Reviewer

PhD Agent based modelling of economic and social systems, MSc (Eng) Advanced software engineering

Dr. Mariam Kiran is a Research Scientist at LBNL, with roles at ESnet and Computational Research Division. Her current research focuses on deep reinforcement learning techniques and multi-agent applications to optimize control of system architectures such as HPC grids, high-speed networks and Cloud infrastructures.. Her work involves optimization of QoS, performance using parallelization algorithms and software engineering principles to solve complex data intensive problems such as large-scale complex decision-making. Over the years, she has been working with biologists, economists, social scientists, building tools and performing optimization of architectures for multiple problems in their domain.

Chris Bone Member since: Thursday, July 16, 2015 Full Member Reviewer

BA, Environmental Studies, University of Toronto

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.

Valentas Gruzauskas Member since: Saturday, October 07, 2017

PhDc

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.

Matthew Oldham Member since: Friday, June 17, 2016

Bachelor of Economics (tons), MAIS - Computational Social Science

I am a Ph.D. candidate in Computational Social Science (CSS) program at George Mason (GMU). I hold a MAIS from GMU and a Bachelor of Economics from the University of Tasmania. My research interests are the application of ABMs, network analysis, and machine learning to financial markets. My email address and website is [email protected] and www.aussiecas.com

I am interested in using agent-based model to understand the behavior of financial markets

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