Researcher-lecturer

DOLLINGER Jean Francois

Contact

Email :
Phone number : +33763128406

ResearchGate

Google Scholar

Campus of Strasbourg
2 Allée des Foulons - 67380 Lingolsheim

Research team

Engineering and Numerical Tools

Research themes

  • Parallel and distributed computing. 
  • High performance computing.
  • Edge- and Cloud-computing.
  • Combinatorial optimization. 
  • IoT.
  • Smart building and smart cities.

Educational activities

  • Fields: Algorithmics, Procedural programing, Object Oriented Programming (OOP), Database, Software engineering, Operating systems, Networks and protocols, Operations research.
  • Teaching methods: Project oriented teaching, Lectures, Tutorials, Labs.
  • Levels: Computer science major in undergraduate and graduate classes.

Teaching responsibilities : 

  • Supervisor of a class of undergraduate students. 
  • Design of teaching materials. 

Background

  • PhD in Computer Science
    University of Strasbourg - ICube lab, 2011-2015
    Former member of the ICPS and INRIA CAMUS research groups. Framework for efficient execution on GPU and CPU+GPU systems
  • Master in Computer Science
    University of Strasbourg, 2009-2011
    Obtained with high honours. Computer networks and embedded systems (RISE)
  • Bachelor in Computer Science
    University of Strasbourg, 2008-2009
     Obtained with honours. Fundamentals of Computer Science.

Thesis / postdoc supervision

A. BAAHMED, « Computational efficiency of federated learning for edge-cloud infrastructures. », 2023-2026.

A. SYARIF, Postdoc supervision conducted in collaboration with CESI/UHA/Mercu Buana (Indonésie) universities. « Extension of the RPL protocol based on the OC approach » 2019-2020.

Supervision of research

I. EDDINE, « Optimising task placement for edge-cloud infrastructures », Master internship, 2024.

M. OUJABOUR, « Rob-parrot: optimising AI models for real-time Human-Robot interactions », Master internship, 2024.

K. BOUHOUCH, « Deployment of an edge-cloud infrastructure with OpenStack », Master internship, 2023.

Publications

Summary (2011-2024)

  • ACL : 1
  • ACTI : 10
  • COM : 4

Selected publications

  • Jean-François Dollinger, Kaouther Bouhouch, and Imen Bouzarkouna. “Benchmarking OpenStack for edge computing applications.” 25th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing. IEEE 2023.
  • Khaoula Zaimen, Mohamed-el-Amine Brahmia, Jean-Francois Dollinger, et al., “Coverage Maximization in WSN Deployment Using Particle Swarm Optimization with Voronoi Diagram”, In International Conference on Model and Data, Engineering. Springer, Cham, 2021. p. 88-100.
  • Abdusy Syarif, Mohamed-El-Amine Brahmia, Jean François Dollinger, Abbdelhafid Abouaissa and Lhassane Idoumghar, “RPL-OC: Extension of RPL Protocol for LLN Networks based on the Operator Calculus approach”, 6th International Congress on Information and Communication Technology, Springer, Singapore, 2021.
  • Khaoula Zaimen, Mohamed-el-Amine Brahmia, Jean-Francois Dollinger, et al., “A Overview on WSN Deployment and a Novel Conceptual BIM-based Approach in Smart Buildings”, The 7th International Conference on Internet of Things : Systems, Management and Security (IOTSMS), 2020, Paris, France.
  • Walid-Miloud Dahmane, Mohamed-El-Amine Brahmia, Jean-Francois Dollinger and Samir Ouchani, “A BIM-based framework for an Optimal WSN Deployment in Smart Building”, 11th International Conference on Networks of the Future, NoF 2020, Bordeaux, France, October 12-14, IEEE, 2020.
  • Alexandra Jimborean, Philippe Clauss, Jean-François Dollinger, Vincent Loechner, and Juan Manuel Martinez. Dynamic and Speculative Polyhedral Parallelization Using Compiler-Generated Skeletons.  International Journal of Parallel Programming, 2014.
  • Jean-François Dollinger and Vincent Loechner. Adaptive Runtime Selection for GPU. In 42nd International Conference on Parallel Processing, pages 70–79, Lyon, France, October 2013. IEEE.
  • Jean-François Dollinger and Vincent Loechner. CPU+GPU Load Balance Guided by Execution Time Prediction. In Fifth International Workshop on Polyhedral Compilation Techniques (IMPACT 2015), Amsterdam, Netherlands, January 2015.
  • PhD thesis in computer science from the University of Strasbourg, ICube lab., ICPS / INRIA CAMUS teams. Framework for efficient execution on GPU et CPU+GPU systems, 2015.