Energy-aware, high-performance and interpretable machine learning methods through Distributed and Collaborative ML for a Sustainable AI
Energy-aware, high-performance and interpretable machine learning methods through Distributed and Collaborative ML for a Sustainable AI
The core focus of our research is the definition, design and implementation of energy-aware, high-accuracy and interpretable ML methods for networked cyber-physical systems. The group combines a solid theoretical background with strong experimental and implementation skills, which allow to complete the path from the generation of an idea grounded on advanced theory up to the implementation of proof-of-concept testbeds with high TRL.
Our expertise is concentrated on the following topics.
Edge Intelligence: Collaborative & Distributed AI, Efficiency vs accuracy, Explainable AI, Application to smart cities & mobile network optimization
Industrial IoT: Data reconstruction, Explainable AI, Adversarial ML, Digital twin, Energy system applications or others
Intelligent transportation systems: Misbehavior detection in vehicular systems, Hazard detection (combination of sensors + ML)
Mobile traffic characterization: Distributed ML at BS site, Traffic prediction, classification & anomaly detection, Data from operational networks (our own), Usage of mobile data for smart cities
Renewable energy integration & management.
In our group we are 8 PhD (5 senior) + 5 PhD students. Currently, we are involved in several EU projects (VERGE, 5GMED, 5GCroCo, INSPIRE5G+, PANDORA, DARLENE, FIREMAN, SONATA) and training networks (GREENEDGE).
Our experimental facilities are grouped under the umbrella of SUPERCOM (Sustainable and High-Performance Computing) Laboratory & Platform. SUPERCOM has a data processing centre, edge nodes, different types of sensors, HD cameras, LIDARs, 5G connectivity.
- STREAM-B-01-01: System Architecture
- 6G Access Networks
- Cognitive Network Management
- Experimental Infrastructure
- Factories Sector solutions
- Innovative 6G Technologies
- Security in 6G networks and services
- Sustainability
Contact
Company: CTTC/CERCA
Type of Organisation: Research
Country: Spain
Web: https://www.cttc.cat/sustainable-artificial-intelligence-sai/
Telephone:
Brief description of my Organisation
The Centre Tecnològic de Telecomunicacions de Catalunya (CTTC) is a non-profit research institution based in Castelldefels (Barcelona), resulting from a public initiative of the Regional Government of Catalonia (Generalitat de Catalunya).
Research activities at the CTTC, both fundamental and applied, mainly focus on technologies related to the physical, data-link and network layers of communication systems, and to the Geomatics.
Started in 2001 with young graduates, with engineering or PhD degrees, it is currently the only research institution where research and technology development are combined to provide response in the range of precompetitive research and engineering demonstration models.
Our technology development and transfer program is formed by nine research units, covering all the different aspects of terrestrial telecommunication, from the physical, access, and networking layers.
Space, satellite communications, navigation, and geomatics are also addressed, hybridized with the terrestrial systems whenever is required. Artificial Intelligence and function virtualization are core and common tools that are shared by the research units.
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