Main Research Areas and Groups
The Research effort in the WISENET Center is structured in two Research Groups:
- Fundamental Research Group (Head: Prof. Baltasar Beferull-Lozano), covering Theory and Algorithms.
- Applied Research Group (Head: Prof. Linga Reddy Cenkeramaddi).
- Data science
- Robust statistical inference and learning
- Graph signal processing for multi-variate data-driven systems
- Sparse signal representations and dimensionality reduction
- Inference-aware data compression
- Efficient and Explainable Deep learning
- Safe Deep Reinforcement Learning for data-driven control
- Design and implementation of machine learning methods for embedded systems
- Distributed computation and inference over wireless networks
- Decentralized processing for graph signal processing
- Autonomous Wireless Embedded Systems & IoT Devices
- Distributed control for sensor and actuator networks
- mmWave Sensing
- FPGA-based and GPU-based cyber-physical systems
- Local processing and distributed inference for UAVs
- Parallel optimization and deep learning methods
- Statistical learning for power spectrum and channel gain cartography
- Advanced Optimization and Deep Learning for multi-objective resource allocation.
- Data-driven generative machine learning models for networks
- Adaptive algorithms for networks based on reinforcement learning
- Testbed design for smart Software-Defined Radios
- Protocol Implementation for Wireless Communication and Sensor Networks
- Energy Harvesting for Wireless Embedded Systems & IoT Devices
- Data mining for prediction and reasoning in wireless communications
- Complexity analysis and algorithms for NP-Hard network problems