Sami Souissi has a solid background and competence in several computer programming  langages that helped him to be active in developping new statistical methods to analyse complex databases and create simulation platforms based on Object-Oriented programming langages.

Ampong the most popular methods develpped by Sami Souissi we can mention the multivariate Bayesian mapping technique that was first proposed in 2001 (see original paper) and then applied with success to analyse multivariate databases in Sea (example here in collaboration with the Center for Environment, Fisheries and Aquaculture Science – CEFAS in the United Kingdom) and large lakes (example here using the long-term monitoring program in Lake Geneva).

When the databases are small, Sami Souissi suggested a new approach to analyse data bases (example here from 2 years monitoring program in the Bay of Tunis) and still can obtain optimal regionalisation.

For computer modelling, Sami Souissi was involved in the MOBIDYC project (MOdelling Based on Individuals for the DYnamics of Communities) that was first published in Ecological Modelling in 2002 (see the original paper here) and then was used in several Research and Education projects. Recently a new RE:Mobidyc project was created in collaboration between France and Japan ; by involving computer scientists and Dr. Gael Dur a former PhD student of Sami Souissi who is now Associate Professor in Shizuoka University in Japan. The aim is to use the new programming environment Pharo created by Dr Stephane Ducasse, from French INRIA (National Institute for Research in Digital Science and Technology).