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Displaying 10 of 552 results for "Ian M Hamilton" clear search

Daniel Neves Member since: Sat, Apr 22, 2017 at 05:56 PM

Mastering in Complex System

Nashrul Wajdi Member since: Fri, Dec 06, 2013 at 10:18 AM

PhD Student

Inter-regional migration in Indonesia

Ebi George Member since: Tue, Mar 24, 2015 at 01:50 PM

Bachelor of Technology in Biotechnology

Gerardo Ferrara Member since: Mon, May 10, 2010 at 01:28 PM

I am a Senior Economist in the Capital Markets Division of the Bank of England. I have a PhD in Economics from the joint program at Vilfredo Pareto Doctorate in Economics (University of Turin) and Collegio Carlo Alberto, where I’ve taught graduate level economic courses. Prior to joining the Bank of England, I also worked in the private sector as a quantitative analyst on issues related to different areas including asset management, risk management, and policy implementation.

My interests lie in the areas of market structure, macroprudential and microprudential policies and their interactions, international macroeconomics, political economy, international financial integration, banking, and systemic risk.

Carole Adam Member since: Fri, Feb 03, 2017 at 02:58 PM

PhD in Artificial Intelligence
  • Since 2010: Associate Professor in Artificial Intelligence at Grenoble-Alpes University. Topic: human behaviour modelling, with a particular focus on emotions, cognitive biases, and their interplay with decision-making; social simulations and serious games for raising awareness about natural disasters and sustainable development, or for increasing civil engagement in urban planning.
  • 2008-2010: postdoctoral research fellow at RMIT, Melbourne, Australia. Supervisor: Lin Padgham. Topic: interactive intelligent emotional toy.
  • 2007-2008: research engineer at Orange Labs, Lannion, France. Supervisor: Vincent Louis. Topic: institutional logic in JADE for agent-based B2B mediation.
  • 2007: PhD in AI from Toulouse University. Supervisors: Andreas Herzig and Dominique Longin. Topic: logical modelling of emotions in BDI for artificial agents.

Improving agent models and architectures for agent-based modelling and simulation applied to crisis management. In particular modelling of BDI agents, emotions, cognitive biases, social attachment, etc.

Designing serious games to increase awareness about climate change or natural disasters; to improve civil engagement in sustainable urban planning; to teach Artificial Intelligence to the general public; to explain social phenomena (voting procedures; sanitary policies; etc).

Bruce Edmonds Member since: Tue, Mar 10, 2009 at 01:31 PM Full Member

BA(Hons) Mathematics, Oxford, 1983, PhD in Philosophy of Science, Manchester 1999

I studied Mathematics at Oxford (1979-1983) then did youth work in inner city areas for the Educational Charity. After teaching in Grenada in the West Indies we came back to the UK, where the first job I could get was in a 6th form college (ages 16-18). They sent me to do post16 PCGE, which was so boring that I also started a part-time PhD. The PhD was started in 1992 and was on the meaning and definition of the idea of “complexity”, which I had been pondering for a few years. Given the growth of the field of complexity from that time, I had great fun reading almost anything in the library but I did finally finish it in 1999. Fortunately I got a job at the Centre for Policy Modelling (CfPM) in 1994 with its founder and direction, Scott Moss. We were doing agent-based social simulation then, but did not know it was called this and did not meet other such simulators for a few years. With Scott Moss we built the CfPM into one of the leading research centres in agent-based social simulation in the world. I became director of the CfPM just before Scott retired, and later became Professor of Social Simulation in 2013. For more about me see http://bruce.edmonds.name or http://cfpm.org.

All aspects of social simulation including: techniques, tools, applications, philosophy, methodology and interesting examples. Understanding complex social systems. Context-dependency and how it affects interaction and cognition. Complexity and how this impacts upon simulation modelling. Social aspects of cognition - or to put it another way - the social embedding of intelligence. Simulating how science works. Integrating qualitative evidence better into ABMs. And everything else.

Becky Mawhood Member since: Thu, Mar 31, 2016 at 03:59 PM

MSc Environmental Technology, BA Mathematics, French & History of Art

Becky is a Research Associate at the Imperial Centre for Energy Policy and Technology (ICEPT). She investigates economic, social and technical aspects of energy policy in the UK and abroad.

Becky’s current research is focussed on transitions in the UK bioenergy system and on biofuels for aviation. She is involved with two major projects: Bioenergy Value Chains: Whole Systems Analysis and Optimisation, an EPSRC SUPERGEN Bioenergy Challenge Project; and Renewable Jet Fuel Supply Chain Development and Flight Operations (RENJET), a project for EIT Climate-KIC. Becky has also worked on projects for the UK Energy Research Centre – International Renewable Energy Agency (UKERC-IRENA) collaboration, investigating issues such as economic value creation, policy evaluation metrics, innovation theory and rural electrification. She is particularly interested in the role of renewable technologies for developing countries, having lived and worked in Mali and Senegal.

Christian Reynolds Member since: Fri, May 20, 2016 at 03:20 PM

PhD Applied Math

Christian Reynolds is a Public Health Research Fellow at the Rowett Institute of Nutrition and Health, University of Aberdeen, and an adjunct Research Fellow at the Barbara Hardy Institute for Sustainable Environments and Technologies, University of South Australia. Christian’s research examines the economic and environmental impacts of food consumption; with focus upon food waste, sustainable diets, and the political power of food in international relations.
Christian has experience in economic input-output, material flow and environmental (Life Cycle Analysis) modelling and has published peer reviewed articles on these topics.

koene Member since: Sun, Mar 25, 2012 at 04:06 PM

PhD, MSc

My core research interest is to understand how humans and other living creature perceive and behave; respond and act upon their environment and how this dynamic interplay shapes us into who we are. In recognition of the broad scope of this question I am a strong believer in the need for inter- and multi-disciplinary approaches and have worked at research groups in a wide range of departments and institutions, including university departments of Physics as well as Psychology, a bio-medical research lab, a robotics research laboratory and most recently the RIKEN Brain Science Institute. Though my work has primarily taken the form of computational neuroscience I have also performed psychophysical experiments with healthy human subjects, been involved in neural imaging experiments and contributed towards the development of a humanoid robot.

Based on the philosophy of ‘understanding through creating’ I believe that bio-mimetic and biologically inspired computational and robotic engineering can teach us not only how to build more flexible and robust tools but also how actual living creatures deal with their environment. I am therefore a strong believer in the fertile information exchange between scientific as well as engineering research disciplines.

Cheick Amed Diloma Gabriel TRAORE Member since: Tue, Jan 25, 2022 at 10:57 AM Full Member

Ph.D., computer science, Cheikh Anta Diop University, Master of Science, Applied Mathematics, Nazi Boni University, Bachelor, Mathematics, Nazi Boni University

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, Cheick 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,Cheick 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,Cheick 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.

Agent Based Modeling, Machine Learnig, Deep Learning, Numerical Analysis

Displaying 10 of 552 results for "Ian M Hamilton" clear search

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