Akka Zemmari received his Ph.D. degree from the University of Bordeaux 1, France, in 2000. He is an associate professor in computer science since 2001 at University of Bordeaux, France. His research interests include Artificial Intelligence, Deep Learning, Distributed algorithms and systems, Graphs, Randomized Algorithms, and Security. He is head of Distributed algorithms team at the University of Bordeaux. He has participated in national research projects, European research projects, and Europe-India projects. He has written one book and achieved more than 80 research papers published in international journals and conference proceedings and he is involved in program committees and organization committees of international conferences.


  • • “Deep Learning in Mining of Visual Content”, A. Zemmari and J. Benois-Pineau, Springer Briefs in Computer Science, 2020.
  • • “Counting in One-Hop Beeping Networks”, A. Casteigts, Y. Métivier, J.M. Robson, A. Zemmari, Theoretical Computer Science, 2019.
  • • “Network Intrusion Detection for IoT Security based on Learning Techniques”, N. Chaabouni, M. Mosbah, P. Faruki, C. Sauvignac, A. Zemmari. IEEE Communications Surveys and Tutorials, 2019.
  • • “A Machine Learning based Approach to Detect Malicious Android Apps using Discriminant System Calls”, M. Conti, Vinod P., A. Zemmari. Future Generation Computer Systems, 2019.
  • • “Deterministic Leader Election Takes Θ(D + log n) Bit Rounds”, A. Casteigts, Y. Métivier, J.M. Robson, A. Zemmari. Algorithmica, 2019.
  • • “SneakLeak+: Large-Scale Klepto Apps Analysis”, S. Bhandari, F. Herbreteau, V. Laxmi, P. S. Roop, M. S. Gaur, A. Zemmari. Future Generation Computer Systems, 2020.
  • • “Design Patterns in Beeping Algorithms: Examples, Emulation, and Analysis”, A. Casteigts, Y. Métivier, J.M. Robson, A. Zemmari. Information and Computation, 2019.
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