CPAMI Graduate Seminar Series

Thursday, July 2, 2015 4:30 pm - 5:00 pm EDT (GMT -04:00)

You are invited to attend our next UW CPAMI Graduate Seminar, which will include:

Dr. Ridha Soua will speak on "Vehicular Sensor Networks: Toward Safer Driving in Connected Vehicles"

Abstract: Vehicles have continued to evolve since they were invented in the second industrial revolution. Nowadays, cars are equipped with wireless communication capabilities and huge number of sensors. The objective is to make cars proactive, cooperative, well-informed, and
coordinated. Thus, the car becomes a smart ``thing'' connected to internet that can talk to other cars, people and roads to ensure safer trip. However, in some scenario, vehicles may not guarantee timely detection of dangerous road conditions or maintain communication connectivity
when the network density is low which may represent a big threat to driving safety. Wireless Vehicular Sensor Network (VSN) has been widely accepted in developing the next generation intelligent transportation systems. The integration of the concept of hybrid VSN rises new
challenges that should be addressed. In this talk, I will present the concept of Internet of cars and hybrid VSN. I will detail how sensor nodes deployed in roads can collect and deliver information about dangerous conditions in timely manner for safer driving. Solutions for data collection for hybrid VSNs will be also presented.


Short Biography: Ridha Soua is a Postdoctoral Researcher at University of Waterloo since April 2014. He is a member of Pattern Analysis & Machine Intelligence Group. From December 2010 to Febrary 2014, He was PhD student at INRIA, HIPERCOM team. Ridha SOUA obtained his PhD in computer sciences with honors from Pierre & Marie Curie University in France on Febrarury 2014. In November 2010, he obtained a MSC diploma in Computer Science and Networking from Ecole Nationale des Sciences des l'Informatique (ENSI) in Tunisa. His research of interest are: Internet of Things, sensor networks in industrial environment, traffic prediction in Internet of Cars.