Current Projects
A Closed-Loop Platform For Energy-Aware Industrial Internet of Things
Through collaboration and innovation in the industry, CORRELATE wants to revolutionize industrial IoT systems to be much more efficient and sustainable. It will do so through context-aware energy monitoring, generic detection and data function control, automated configuration of machine learning, and a closed-loop controller for adaptive system behavior.
Through collaboration and innovation in the industry, CORRELATE wants to revolutionize industrial IoT systems to be much more efficient and sustainable. It will do so through context-aware energy monitoring, generic detection and data function control, automated configuration of machine learning, and a closed-loop controller for adaptive system behavior.
Embedded AI Systems and Applications
The MSCA Doctoral Network (DN) project ANT aims to train a network of 18 excellent Doctoral Candidates (DCs) by addressing the fundamental challenges of Embedded AI and accelerating the development of Embedded AI systems and applications through an innovative and interdisciplinary research and training program.
The MSCA Doctoral Network (DN) project ANT aims to train a network of 18 excellent Doctoral Candidates (DCs) by addressing the fundamental challenges of Embedded AI and accelerating the development of Embedded AI systems and applications through an innovative and interdisciplinary research and training program.
Towards standardized 6G connectivity for ambiently-powered energy neutral IoT devices
The AMBIENT-6G project aims to address the IoT's e-waste problem, by proposing a new class of energy-neutral IoT devices, which will significantly reduce battery waste and increase device lifetime. Such devices exploit ambient energy harvesting or intentional radio frequency wireless power transfer to achieve decades-long energy autonomy.
The AMBIENT-6G project aims to address the IoT's e-waste problem, by proposing a new class of energy-neutral IoT devices, which will significantly reduce battery waste and increase device lifetime. Such devices exploit ambient energy harvesting or intentional radio frequency wireless power transfer to achieve decades-long energy autonomy.
Integrating Network Digital Twinning into Future AI-based 6G Systems
The overarching objective of 6G-TWIN is to provide the foundation for the design, implementation and validation of an AI-native reference architecture for 6G systems that incorporates Network Digital Twins (NDT) as a core mechanism for the end-to-end, real-time optimisation, management and control of highly dynamic and complex network scenarios.
The overarching objective of 6G-TWIN is to provide the foundation for the design, implementation and validation of an AI-native reference architecture for 6G systems that incorporates Network Digital Twins (NDT) as a core mechanism for the end-to-end, real-time optimisation, management and control of highly dynamic and complex network scenarios.
Integrated Sensing, Energy and Communication for 6G Networks
iSEE-6G proposes a Joint Communication, Computation, Sensing, and Power Transfer (JCCSP) unified radio platform, which includes all support elements of the proposed solutions in future 6G networks. The iSEE-6G Proof-of-Concept (PoC) focuses in JCCSP use cases in aerial corridors, where UAVs with various roles providing different services coexist and coordinate with each other.
iSEE-6G proposes a Joint Communication, Computation, Sensing, and Power Transfer (JCCSP) unified radio platform, which includes all support elements of the proposed solutions in future 6G networks. The iSEE-6G Proof-of-Concept (PoC) focuses in JCCSP use cases in aerial corridors, where UAVs with various roles providing different services coexist and coordinate with each other.
Orchestration and Programming of ENergy-aware and collaborative Swarms With AI-powered Reliable Methods
OpenSwarm will investigate novel methods for energy-aware, collaborative swarms of robots, UAVs and IoT devices, and validate these in real-world use cases in various application domains including cities & communities, environmental, industrial & health, and mobility.
OpenSwarm will investigate novel methods for energy-aware, collaborative swarms of robots, UAVs and IoT devices, and validate these in real-world use cases in various application domains including cities & communities, environmental, industrial & health, and mobility.
Context-Aware Millimeter Wave Network for Interactive Virtual Reality
Design of mmWave protocols optimized for VR, based on joint communications and sensing at mmWave frequencies.
Design of mmWave protocols optimized for VR, based on joint communications and sensing at mmWave frequencies.
Low Latency Communication for Energy Harvesting Robot Swarms
A radically new symbol-synchronous communication approach for microsecond latency broadcast in large robot swarms.
A radically new symbol-synchronous communication approach for microsecond latency broadcast in large robot swarms.