SAMI MOHAMMED FARAH MNASRI
Received the bachelor’s degree in computer science from the ENSIT engineering school, Tunisia, the
MSc degree (Hons) in computer science from the University of Sfax, Tunisia and the PhD degree in computer science from
the UT2J University, Toulouse Currently, he is an associate-professor in the University of Tabuk, KSA He conducted and published different high valued studies regarding the utility of using evolutionary optimization strategies on the resolution of real-world complex problems such as the deployment, localization and routing in IoT networks He also achieved several researches on multi-agent systems and artificial intelligence He is the organizing co-chair, in different editions, of the IEEE International IINTEC conference and the WSDWSN international workshop He was speaker in Saudiiot, ICCIT and HIS conferences
Experience and administrative positions
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Qualifications
- دكتوراه في علوم الحاسب، جامعة TOULOUSE-II ، مختبر IRIT(معھد البحوث في علوم الكمبیوتر بتولوز) ،فریق RMESS ( شبكات ، موبایل ، مضمن ، لاسلكي ، ساتلایت) عنوان الأطروحة: "مساھمات في النشر الأمثل لأجھزة الاستشعار المتصلة على شبكة جمع إنترنت الأشیاء"
Research interests
IoT collection networks · 3D indoor redeployment · Experimental validation · Many-objective optimization · Preference incorporation · Dimensionality reduction
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- IINTEC’17 Mnasri S, Nasri N, VAN DEN BOSSCHE A, Val T "A Comparative analysis with validation of NSGA-III and MOEA/D in resolving the 3D indoor redeployment problem in DL-IoT" IEEE International Conference on Internet of Things, Embedded Systems and Communications (IINTEC’17), Gafsa, Tunisia, October 20-22th, 2017(مصنفة ضمن أحسن 6 اوراق بحثية)