Keynote Talk - I :
Abdul Hanan Abdullah
Faculty of Computing
Universiti Teknologi Malaysia
From VANETs to Internet of Vehicles (IoV):
A Paradigm Shift
[ 11:30 am, 25-Feb-2016 ]

The communication among on-road vehicles with or without the help of pre-established infrastructure alongside road or moving is known as conventional Vehicular Adhoc Networks (VANETs). Enhancing traffic safety as well as efficiency are the two major objectives of VANETs. Inspite of significant research work in academia as well as industries, the conventional architecture of VANETs has failed to attract commercial interest and implementations are lacking.

To overcome the problem of conventional communication architecture, a new communication framework for on-road vehicles is being evolved as Internet of Vehicles (IoV). IoV technology refers to dynamic mobile communication systems that communicate between vehicles and public networks using vehicle-to-vehicle (V2V), vehicle-to-Roadside unit (V2R), Vehicle-to-Internet (V2I), vehicle-to-Personal devices (V2P) and vehicle-to- sensors (V2S) interactions. It enables information sharing and the gathering of information on vehicles, roads and their surrounds. Moreover, it features the processing, computing, sharing and secure release of information onto information platforms. Based on this data, the system can effectively guide and supervise vehicles, and provide abundant multimedia and mobile Internet application services.

In this talk, after a precise introduction of VANETs, a brief discussion on IoV and its future will be made.

Keynote Talk - II :
Virendrakumar C. Bhavsar
Faculty of Computer Science University of New Brunswick Fredericton, NB, Canada
Convergence of Internet of Things, Big Data and High Performance Computing: Challenges and Opportunities
[ 11:30 am, 26-Feb-2016 ]

The Internet of Things (IoT) in many applications would result in generation of large amounts of data, i.e. Big Data. In some applications, the data is continuously generated as a stream, wherein the data could be volatile. Such Big Data needs to be curated, aggregated, and analyzed at different levels, quite often using artificial intelligence algorithms for knowledge extraction and learning. In autonomic Big Data computing applications, the extracted knowledge is used for planning and executing the sequence actions necessary for the application. High performance computing (HPC) is crucial in satisfying computing requirements in many high end IoT applications. After a review of the current state of the areas, this talk will present challenges and opportunities in selected applications.