Empowering AIoT and Sensor Solutions for Smart Environments
This research domain focuses on developing and implementing cutting-edge AIoT, IoT, and sensor solutions that merge Artificial Intelligence (AI) with the Internet of Things (IoT) to create advanced ecosystems for automation, data analysis, and intelligent edge operations. By combining AI-driven intelligence with distributed sensor infrastructures, these technologies are pivotal in enhancing connectivity, automation, and data analytics across various applications, including smart environments and advanced manufacturing.
Our work in AIoT at the Edge enables real-time data processing, context-aware decision-making, and predictive analytics close to the source of data generation. This approach minimizes latency, optimizes performance, and empowers systems to operate autonomously with enhanced efficiency and responsiveness.
Within this framework, the AIoT paradigm of ORTHOTIC at NOESISHUB plays a central role in advancing rehabilitation and MedTech innovation. By integrating AI, IoT, and wearable sensing technologies, the ORTHOTIC paradigm enhances patient monitoring, movement analysis, and assistive device intelligence. This synergy supports personalized tele-rehabilitation processes, improves recovery outcomes, and establishes a bridge between clinical needs and technological advancement in smart healthcare environments.
Leveraging our expertise in technological education (specifically in automation systems and advanced manufacturing) we continue to innovate solutions that optimize industrial processes and enable real-time XR insights for improved operational efficiency and enhanced user experiences. This educational and research-driven foundation ensures the continuous evolution of AIoT solutions across both industrial and health-oriented applications.
Advanced Networking and Intelligent Multi-Domain Swarming Systems
This research domain focuses on the development and application of advanced networking technologies for multi-domain swarming and Unmanned Vehicle (UxV) solutions. Our work encompasses both structured and unstructured (opportunistic) networks of mobile nodes, such as unmanned and autonomous vehicles, paving the way for intelligent, interconnected systems capable of real-time decision-making and adaptive operations.
Within this area, our research includes the design and implementation of intelligent algorithms and routing protocols tailored for autonomous vehicles and mobile devices, for example, algorithms designed to assist self-driving cars in Vehicular Ad-Hoc Networks (VANETs).
The overarching goal is to push the boundaries of technology in networked autonomous systems, enhancing efficiency, adaptability, and functionality across diverse operational environments while driving innovation in intelligent ad-hoc communication and multi-domain coordination.
Advancing B5G and 6G Networks through Edge Innovation
Our R&D initiatives in this area are dedicated to advancing 5G, Beyond 5G (B5G), and emerging 6G network technologies, synergizing with our established expertise in multi-domain swarming, unmanned vehicles (UxVs), and intelligent algorithms.
We aim to address current challenges and explore emerging opportunities to enhance network performance, reliability, and scalability, particularly at the network edge, where our solutions excel.