Inria Keywords - Computer Science and Digital Science:

• 1. Architectures, systems and networks
• 1.1. Architectures
• 1.1.1. Multicore
• 1.1.2. Hardware accelerators (GPGPU, FPGA, etc.)
• 1.1.3. Memory models
• 1.1.4. High performance computing
• 1.1.5. Exascale
• 1.1.6. Cloud
• 1.1.7. Peer to peer
• 1.1.8. Security of architectures
• 1.1.9. Fault tolerant systems
• 1.1.10. Reconfigurable architectures
• 1.1.11. Quantum architectures
• 1.1.12. Non-conventional architectures
• 1.1.13. Virtualization
• 1.2. Networks
• 1.2.1. Dynamic reconfiguration
• 1.2.2. Supervision
• 1.2.3. Routing
• 1.2.4. QoS, performance evaluation
• 1.2.5. Internet of things
• 1.2.6. Sensor networks
• 1.2.7. Cyber-physical systems
• 1.2.8. Network security
• 1.2.9. Social Networks
• 1.3. Distributed Systems
• 1.4. Ubiquitous Systems
• 1.5. Complex systems
• 1.5.1. Systems of systems
• 1.5.2. Communicating systems
• 1.6. Green Computing
• 2. Software
• 2.1. Programming Languages
• 2.1.1. Semantics of programming languages
• 2.1.2. Object-oriented programming
• 2.1.3. Functional programming
• 2.1.4. Aspect-oriented programming
• 2.1.5. Constraint programming
• 2.1.6. Concurrent programming
• 2.1.7. Distributed programming
• 2.1.8. Synchronous languages
• 2.1.9. Dynamic languages
• 2.1.10. Domain-specific languages
• 2.1.11. Proof languages
• 2.2. Compilation
• 2.2.1. Static analysis
• 2.2.2. Memory models
• 2.2.3. Run-time systems
• 2.2.4. Parallel architectures
• 2.2.5. GPGPU, FPGA, etc.
• 2.2.6. Adaptive compilation
• 2.3. Embedded and cyber-physical systems
• 2.3.1. Embedded systems
• 2.3.2. Cyber-physical systems
• 2.3.3. Real-time systems
• 2.4. Reliability, certification
• 2.4.1. Analysis
• 2.4.2. Verification
• 2.4.3. Proofs
• 2.5. Software engineering
• 2.6. Infrastructure software
• 2.6.1. Operating systems
• 2.6.2. Middleware
• 2.6.3. Virtual machines
• 3. Data and knowledge
• 3.1. Data
• 3.1.1. Modeling, representation
• 3.1.2. Data management, quering and storage
• 3.1.3. Distributed data
• 3.1.4. Uncertain data
• 3.1.5. Control access, privacy
• 3.1.6. Query optimization
• 3.1.7. Open data
• 3.1.8. Big data (production, storage, transfer)
• 3.1.9. Database
• 3.2. Knowledge
• 3.2.1. Knowledge bases
• 3.2.2. Knowledge extraction, cleaning
• 3.2.3. Inference
• 3.2.4. Semantic Web
• 3.2.5. Ontologies
• 3.3. Data and knowledge analysis
• 3.3.1. On-line analytical processing
• 3.3.2. Data mining
• 3.3.3. Big data analysis
• 3.4. Machine learning and statistics
• 3.4.1. Supervised learning
• 3.4.2. Unsupervised learning
• 3.4.3. Reinforcement learning
• 3.4.4. Optimization and learning
• 3.4.5. Bayesian methods
• 3.4.6. Neural networks
• 3.4.7. Kernel methods
• 3.4.8. Deep learning
• 3.5. Social networks
• 3.5.1. Analysis of large graphs
• 3.5.2. Recommendation systems
• 4. Security and privacy
• 4.1. Threat analysis
• 4.1.1. Malware analysis
• 4.1.2. Hardware attacks
• 4.2. Correcting codes
• 4.3. Cryptography
• 4.3.1. Public key cryptography
• 4.3.2. Secret key cryptography
• 4.3.3. Cryptographic protocols
• 4.4. Security of equipment and software
• 4.5. Formal methods for security
• 4.6. Authentication
• 4.7. Access control
• 4.8. Privacy-enhancing technologies
• 4.9. Security supervision
• 4.9.1. Intrusion detection
• 4.9.2. Alert correlation
• 4.9.3. Reaction to attacks
• 5. Interaction, multimedia and robotics
• 5.1. Human-Computer Interaction
• 5.1.1. Engineering of interactive systems
• 5.1.2. Evaluation of interactive systems
• 5.1.3. Haptic interfaces
• 5.1.4. Brain-computer interfaces, physiological computing
• 5.1.5. Body-based interfaces
• 5.1.6. Tangible interfaces
• 5.1.7. Multimodal interfaces
• 5.2. Data visualization
• 5.3. Image processing and analysis
• 5.3.1. Compression
• 5.3.2. Sparse modeling and image representation
• 5.3.3. Pattern recognition
• 5.3.4. Registration
• 5.3.5. Computational photography
• 5.4. Computer vision
• 5.4.1. Object recognition
• 5.4.2. Activity recognition
• 5.4.3. Content retrieval
• 5.4.4. 3D and spatio-temporal reconstruction
• 5.4.5. Object tracking and motion analysis
• 5.4.6. Object localization
• 5.4.7. Visual servoing
• 5.5. Computer graphics
• 5.5.1. Geometrical modeling
• 5.5.2. Rendering
• 5.5.3. Computational photography
• 5.5.4. Animation
• 5.6. Virtual reality, augmented reality
• 5.7. Audio modeling and processing
• 5.7.1. Sound
• 5.7.2. Music
• 5.7.3. Speech
• 5.7.4. Analysis
• 5.7.5. Synthesis
• 5.8. Natural language processing
• 5.9. Signal processing
• 5.9.1. Sampling, acquisition
• 5.9.2. Estimation, modeling
• 5.9.3. Reconstruction, enhancement
• 5.9.4. Signal processing over graphs
• 5.9.5. Sparsity-aware processing
• 5.9.6. Optimization tools
• 5.10. Robotics
• 5.10.1. Design
• 5.10.2. Perception
• 5.10.3. Planning
• 5.10.4. Robot control
• 5.10.5. Robot interaction (with the environment, humans, other robots)
• 5.10.6. Swarm robotics
• 5.10.7. Learning
• 5.10.8. Cognitive robotics and systems
• 5.11. Smart spaces
• 5.11.1. Human activity analysis and recognition
• 5.11.2. Home/building control and interaction
• 6. Modeling, simulation and control
• 6.1. Mathematical Modeling
• 6.1.1. Continuous Modeling (PDE, ODE)
• 6.1.2. Stochastic Modeling (SPDE, SDE)
• 6.1.3. Discrete Modeling (multi-agent, people centered)
• 6.1.4. Multiscale modeling
• 6.1.5. Multiphysics modeling
• 6.2. Scientific Computing, Numerical Analysis & Optimization
• 6.2.1. Numerical analysis of PDE and ODE
• 6.2.2. Numerical probability
• 6.2.3. Probabilistic methods
• 6.2.4. Statistical methods
• 6.2.5. Numerical Linear Algebra
• 6.2.6. Optimization
• 6.2.7. High performance computing
• 6.2.8. Computational geometry and meshes
• 6.3. Computation-data interaction
• 6.3.1. Inverse problems
• 6.3.2. Data assimilation
• 6.3.3. Data processing
• 6.3.4. Model reduction
• 6.4. Automatic control
• 6.4.1. Deterministic control
• 6.4.2. Stochastic control
• 6.4.3. Observability and Controlability
• 6.4.4. Stability and Stabilization
• 7. Fundamental Algorithmics
• 7.1. Parallel and distributed algorithms
• 7.2. Discrete mathematics, combinatorics
• 7.3. Operations research, optimization, game theory
• 7.4. Logic in Computer Science
• 7.5. Geometry
• 7.6. Computer Algebra
• 7.7. Number theory
• 7.8. Information theory
• 7.9. Graph theory
• 7.10. Network science
• 7.11. Performance evaluation
• 7.12. Computer arithmetic
• 7.13. Quantum algorithms
• 8. Artificial intelligence
• 8.1. Knowledge
• 8.2. Machine learning
• 8.3. Signal analysis
• 8.4. Natural language processing
• 8.5. Robotics
• 8.6. Decision support
• 8.7. AI algorithmics