The research activities in the UM6P School of Computer Science aim at providing innovative solutions to the current and forthcoming challenges of the digital sciences. These activities address both fundamental and applied aspects, and cover a large spectrum of major research topics, including advanced algorithms, distributed computing, machine learning, data sciences, cybersecurity, privacy, networked systems, and cloud computing. The research activities of the UM6P-CS are organized according the three research axes:

  • Safe and Robust Machine Learning.
  • Data Science and Big Data analytics.
  • Natural language processing.
  • Intelligent embedded systems.
  • Recommender systems.
  • Advanced networked systems.
  • Internet of Things.
  • Fault tolerance and distributed computing.
  • System design and programming based on Machine Learning.
  • Blockchain and secure distributed computing.
  •  Cryptography.
  • Privacy techniques, differential privacy.
  • Cybersecurity, detection and prevention of attacks.
  • Cloud computing security.