Mohamed Wahbi is currently post doctoral researcher at University College Cork, Ireland. He works within Insight Centre for Data Analytics. Mohamed Wahbi received his Ph.D. degree in Computer Science from University Montpellier 2, France and Mohammed V University-Agdal, Morocco in July 2012. He did his Ph.D. under the supervision of Christian Bessiere director of research at CNRS, France and professor El Houssine Bouyakhf from Mohammed V University-Agdal, Morocco. His Ph.D. research focused on Distributed Constraint Reasoning. The title of his thesis is: ``Algorithms and Ordering Heuristics for Distributed Constraint Satisfaction Problems’’. From 2009 to 2012 he was a member of the Coconut team. Coconut is a research team that aims at proposing and combining models and algorithms in constraints, learning and agents.

I am interested in Distributed Constraint Reasoning (DCR). DCR is a framework for solving various problems arising in Distributed Artificial Intelligence. In DCR, a problem is expressed as a Distributed Constraint Network (DCN). A DCN is composed of a group of autonomous agents where each agent has control of some elements of information about the problem, that is, variables and constraints. Each agent own its local constraint network. Variables in different agents are connected by constraints.

Agents try to find a local solution (locally consistent assignment) and communicate it with other agents using a DCR protocol to check its consistency against constraints with variables owned by other agents. A DCN offers an elegant way to model and solve naturally distributed constraint satisfaction/optimization problems that are distributed by nature (e.g., distributed resource allocation, distributed meeting scheduling, sensor networks, etc).