SENSET2017

12-14 September 2017  |  Lebanon

SENSET2017 is the first International Conference on Sensors, Networks, Smart and Emerging Technologies. It is a multi-track event that will be held between Tuesday 12 September and Thursday 14 September 2017 in Lebanon, a very attractive and touristic country in the Middle East.

This conference will provide an opportunity for researchers to come together and share their knowledge in a wide range of topic including but not limited to intelligent devices and technologies like mobile applications, microwave sensors and devices, artificial intelligence, infrastructure protection, computer networks security, environment, green buildings, energy, healthcare …

SENSET2017 is organized by the Lebanese University, University Institute of Technology. It will be an international forum that brings researchers from various parts of the world to present the various developments, new ideas and their findings in diverse but complementary fields leading to Smart Cities.

All presented papers will be submitted for inclusion in the IEEE eXplore Digital Library.

SENSET2017 program features distinguished keynote speakers, and parallel oral presentations and poster sessions. Topics cover state-of-the art as well as the current progress and recent developments in several emerging topics related to Sensors, Computer Networks and Smart Technologies.

During SENSET2017, three Best Paper Awards will be offered to students attending and presenting their papers.


Sawsan SADEK

General Chair / SENSET2017


Isam SHAHROUR
SunRise Smart City, France
Gilles BETIS
IEEE Smart Cities Initiative Chair, France
Ignacio Castillo
IEEE Distinguished Visitor, Mexico
Fadi Dornaika
Professor IKERBASQUE, Spain
Yahia Antar
IEEE Distinguished Lecturer, Canada
Bander Allaf
CEO Juffali Group, Saudi Arabia
Omar Ramahi
IEEE Distinguished Lecturer, Canada
Mohammad S. Sharawi
Professor, KFUPM, Saudi Arabia



Designed and Developed by Abdel Karim KASSEM
Instructor, Administration | Lebanese University | UIT | CCNE Department