Browsing by browse.metadata.instnumber "E-17"

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  • Institution
    Telematics E-17
    The Institute for Networked Cyber-Physical Systems (NCPS) is part of the School of Electrical Engineering, Computer Science, and Mathematics at the Hamburg University of Technology (TUHH). Our work is driven by three trends: - Sensors are everywhere and give near real-time insights in every aspect of the world. - AI is here to stay. - Nearly everything gets programmable, see RISE-Lab at https://rise.cs.berkeley.edu/. We do - mainly data-driven - systems research on networked and intelligent systems. We are particularly passionate about the Internet of Things (IoT), Cyber-Physical Systems, Edge & Fog Computing, Edge AI and TinyML. We love to build systems and play with them (= run experiments and write papers about them). We release our results as open source and evaluate our work on large-scale testbeds with hundreds of wireless nodes. Software releases of projects in which we were involved are published on GitHub (at https://github.com/tuhh-ncps/ , https://github.com/ds-kiel/ , and https://github.com/iot-chalmers/ ). Currently, our Institute focuses on the following directions: Deep Learning - Adaptive Machine Learning: Adaptive and flexible Deep Neural Networks - Edge AI and TinyML: Resource-efficient and embedded ML - Distributed Machine Learning: split computing and federated learning Internet of Things - Low-Power Wireless Networking: Bluetooth (BLE), ZigBee / 802.15.4, LoRa, UWB - Wireless Networking: 5G, 6G, 802.11 - Resilient Internet of Things: Synchronous transmissions for resilient low-latency wireless networking in low-power wireless networks Edge Computing - Distributed Computing: Distributed computing in dynamic and resource-constrained environments - Swarms of Autonomous Devices: Coordinating maneuvers, positioning and localization in dynamics and mobile environments - Process Mining: Mining of processes on distributed event sources
    Director:
    Landsiedel, Olaf  
    Type: TUHH Institute