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Third Trilateral Seed Fund between Siemens, TU Berlin and University of Oxford is bearing fruit

Business and Industry Funding Innovation and Enterprise

Four successful bids have just been announced under the third Trilateral Seed Fund call of Siemens AG, Technical University of Berlin and the University of Oxford, following successful runs in 2020 and 2022.

Artist's impression of a connected smart city

The trilateral partnership between Siemens AG, TU Berlin, and the University of Oxford, builds upon the alliance between Berlin Universities and Oxford. Projects map onto call areas as shown in the diagram below, and will run during 2024 and are aimed at evolving partnerships for developing large-scale bids. 

Schematic view of interdisciplinary research areas. Column headings: Buildings, Cities & Energy Systems; Industry & Manufacturing; Mobility & Transport Systems. Row headings: Applied Artificial Intelligence; Connectivity, IoT, Sensors & Edge Computing; Simulation & Digital Twin.

The successful projects are:

1. Electricity Grid Modelling, Monitoring and Control for Distribution System Operators (DSOs):   development of dynamic grid models for complex networks with increased penetration of distributed energy resources.  Implementation of AI-driven state estimation and control methods to improve security of supply.

Dr. Michael Metzger (Siemens), Prof. Jörg Raisch (TUB) & Profs. David Wallom & Alessandro Abate (UoO), with Prof. Christian A. Hans (University of Kassel)

2. Towards a Unified Indoor Air Quality Management Framework: development of activity-based methodologies to quantify indoor air pollution. 

Dr. Martin Tackenberg (Siemens), Prof. Martin Kriegel (TUB) & Prof. Felix Leach (UoO)

3. Calibration and Certification of Reduced Order Models (ROMs) for Fast and Reliable Digital Twins:  advancing the accuracy of Digital Twins throughout the physical twin's lifespan.

Dr. Dimitrios Loukrezis (Siemens), Dr. Karim Cherifi (TUB), Profs. Alessandro Abate & Ani Calinescu (UoO)

4. ChatterDetect - Control-integrated AI Model for Chatter Detection: integrating Edge Computing and Machine Learning into manufacturing technology for efficient chatter detection in machine control systems.
Dr. Christine Funk & Daniel Regulin (Siemens), Martin Heper (TUB), Prof. Jack Umenberger (UoO)

 

Previous Seed Fund projects have successfully developed large-scale projects: these include the €9.2m EU Horizon SMARTEDGE project.

Both University of Oxford and the Technical University of Berlin belong to the Siemens Research and Innovation Ecosystem, jointly addressing today’s challenges with future technologies in a collaborative way.

Contacts: Andy Gilchrist (UoO), Ilaria Carrara Cagni (Siemens), Julia Guenther-Sorge (TUB)

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