The First International Workshop
Big Data & Software Engineering
and their Applications in Smart Cities

26-28 September 2019,
Saidia, Morocco

The purpose of the First International Workshop on Big Data & Software Engineering and their Applications in Smart Cities, BSASC'19, is to provide a platform for researchers, engineers, academics as well as industrial professionals from all over the world to present their research results and development activities in using model driven engineering techniques for Software Development, Artificial Intelligence, Machine Learning (resp. Deep Learning), Big Data, Hadoop applications, Data Architecture, Modeling, Fractals and Smart cities...
The International Workshop on Big Data & Software engineering and their applications in Smart Cities (BSASC'19) will be included with the First International Conference on Smart Information and Communication Technologies (SmartICT’19) and will be held at Be Live Collection Hotel in the wonderful Moroccan “Blue pearl” city of Saïdia, from 26 to 28 September 2019.

Contact Information

Redouane ESBAI

WorkShop Chair

Redouane ESBAI, FPN, Nador, Morocco

Technical Program

CobosSánchez, Clemente, Universidad de Cádiz, Spain
Amelia Consuelo Rubio Bretones, Universidad de Granada, Spain
Nour-Eddine ALAA, F.S.T.Marrakech, Morocco
Mohamed Moughit, ENSA, Khouribga, Morocco
Mostapha ZBAKH, ENSIAS, Rabat, Morocco
Abdelmounaam Rezgui, Department of Computer Science and Engineering, New Mexico Tech
Mohamed Bellouki, FPN-Nador, Morocco
Kaoutar Lamrini, FPN-Nador, Morocco
Mimoune Elharchaoui, FPN-Nador, Morocco
Redouane Esbai, Laboratoire MASI, FPN-Nador, Morocco
Ahmed Faize, FPN-Nador, Morocco
Mouncef Filali, FPN-Nador, Morocco
Taoufik Serraj, FPN-Nador, Morocco
Mohamed Atounti, FPN-Nador, Morocco
Mostapha Badri, FPN-Nador, Morocco
Hakima Asaidi, FPN-Nador, Morocco

Scope and Topics

The themes of the workshop include the following topics and all other topics related to Big Data, Software engineering and their applications :

  • Data Analytics/Architecture and Big Data
  • Data Mining and Efficient Algorithms
  • Hadoop for big data analytics
  • Hadoop for web service management
  • Smart grid with Hadoop
  • Deep Learning with Hadoop
  • Hadoop in Cloud Robotics Environment
  • Data services and Hadoop
  • (Un)Supervised Learning
  • Machine Learning (Deep Learning)
  • Online Learning and Optimization
  • Real-time/Intelligent Systems
  • Autonomous Agents and Multi-Agents Systems
  • High Performing Computing (HPC) techniques
  • GPU/CPU Computing (CUDA, OpenCL platforms...)
  • Model Transformations and Generative Approaches
  • Modeling in Data Mining Applications
  • Meta-Modeling: Foundations and Tools
  • Fractals and Smart Cities
  • Software and systems Engineering
  • Modernization of Information Technology
  • Speech Recognition: Acoustic Modeling, Robustness, Adaptation, Architecture, Search, and Linguistic Components