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Muhammad Khurram Ali Member since: Sunday, January 18, 2015 Full Member Reviewer

Bachelor of Engineering in Mechanical Engineering, Master of Engineering in Industrial and Manufacturing Enginnering

Industrial Engineering, Multi-criteria Decision Making, Optimization Techniques, Global/International Facility Location, Agent-based Modeling

Meike Will Member since: Thursday, June 11, 2020

  • since 03/2017: PhD Student at the Department of Ecological Modelling, PhD Topic: “Effects of microinsurance on informal safety nets and on strategies for natural resource use – a model-based analysis” (SEEMI-Project in collaboration with the Junior Research Group POLISES)
  • 10/2014 - 02/2017 Master of Science in Physics, Leipzig University
  • 10/2011 - 12/2014 Bachelor of Science in Physics, Leipzig University
  • Agent-based modelling of social-ecological systems
  • Coupling of agent-based modelling and social network analysis
  • Effects of microinsurance on informal risk-sharing arrangements and on land-use strategies
  • Representation of human decision-making in agent-based models

Andrea Ceschi Member since: Monday, January 12, 2015 Full Member

Ph.D.

Senior (Tenure-Track) Assistant Professor in Work and Organizational Psychology (WOP) at the Human Sciences Department of Verona University. My expertise lies in organizational behavior, individual differences and decision-making at work, and social dynamics in the applied psychology field. In the field of fundamental research my studies explore the role of individual antecedents (e.g., Personality traits, Risk attitudes, etc.) in relation to classic I/O models (e.g., Job Demands-Resources model, Effort-Reward model, etc.). My applied research focuses on the development of interventions and policies for enhancing decision-making, and in turn well-being and job performance. Finally, in industrial research, my research aims to better integrate cognitive and behavioral theories (e.g., Theory of Planned Behavior, Prospect theory, etc.) for designing predictive models – based on agents – of social and organizational behaviors.

Bashar Ourabi Member since: Sunday, March 12, 2017 Full Member Reviewer

Bsc Industrial Engineering, Masters of Public Administration/ Development Economics

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

Federico Bert Member since: Tuesday, June 25, 2013

Dr

My general research interest is on modeling of complex natural and human systems systems. Specifically, I am interested in modeling agricultural production systems, that blends the complexity, multiplicity of scales and feedbacks of biophysical interactions in natural ecosystems with the additional intricacies of human decision-making. During last years I have coordinated the development and evaluation of an agent-based of agricultural production systems in the Argentinean Pampas.

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

Pirapat Pareeratanasomporn Member since: Thursday, January 30, 2020

Opinion Dynamics, Climate Change, Economics, Behavioral Decision Making

Volker Grimm Member since: Wednesday, July 18, 2007 Full Member Reviewer

Volker Grimm currently works at the Department of Ecological Modelling, Helmholtz-Zentrum für Umweltforschung. Volker does research in ecology and biodiversity research.

How to model it: Ecological models, in particular simulation models, often seem to be formulated ad hoc and only poorly analysed. I am therefore interested in strategies and methods for making ecological modelling more coherent and efficient. The ultimate aim is to develop preditive models that provide mechanstic understanding of ecological systems and that are transparent and structurally realistic enough to support environmental decision making.

Pattern-oriented modelling: This is a general strategy of using multiple patterns observed in real systems as multiple criteria for chosing model structure, selecting among alternative submodels, and inversely determining entire sets of unknown model parameters.

Individual-based and agent-based modelling: For many, if not most, ecological questions individual-level aspects can be decisive for explaining system-level behavior. IBM/ABMs allow to represent individual heterogeneity, local interactions, and/or adaptive behaviour

Ecological theory and concepts: I am particularly interested in exploring stability properties like resilience and persistence.

Modelling for ecological applications: Pattern-oriented modelling allows to develop structurally realistic models, which can be used to support decision making and the management of biodiversity and natural resources. Currently, I am involved in the EU project CREAM, where a suite of population models is developed for pesticide risk assessment.

Standards for model communication and formulation: In 2006, we published a general protocol for describing individual- and agent-based models, called the ODD protocol (Overview, Design concepts, details). ODD turned out to be more useful (and needed) than we expected.

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