Building on four successful Seed Fund projects on the topic of low carbon energy, Siemens AG (SAG) University Relations, Oxford (UoO) Industrial Partnerships and TU Berlin’s (TUB) Siemens Center of Knowledge Interchange recently partnered in a second trilateral seedfund to stimulate joint research project bids. Proposals were sought in research areas at the intersection of the horizontal methods & technologies (Applied Artificial Intelligence; Connectivity/IoT/Sensors/Edge Computing; Simulation/Digital Twin) and the vertical application sectors (Buildings, Cities & Energy Systems; Industry & Manufacturing; Mobility & Transport Systems).
Seed Projects will run during 2022 and are aimed at developing large-scale bids. The successful projects are as follows:
- Dr Darko Anicic (Siemens Technology), Dr Dan Le Phouc (TUB), Prof Noa Zilberman (UoO Engineering Science Computer Infrastructure Group) focusing on IoT and Edge computing, in particular for smart city and distributed energy systems
- Dr Georg von Wichert (Siemens Technology), Prof. Mark Toussiant (TUB), Prof Ioannis Havoutis (UoO Oxford Robotics Institute) focusing on mobile manipulation for agile assembly
- Dr Sebastian Albrecht (Siemens Technology) and Stefan Kraus (Siemens Digital Industries), Prof. Peter Neubauer and Dr Marie-Therese Schermeyer (TUB), Prof Mark Cannon / Prof Kostas Margellos (UoO Engineering Science Control Group) and Prof Brian Marsden (UoO Centre for Medicines Discovery) focusing on orchestrating the Pharmaceutical process development in an automated Biolab
- Dr Michael Kaever et al (Siemens Digital Industries), Prof Stark (TUB), Prof Ani Calinescu (UoO Computer Science) focusing on modelling the value of Digital Twins for Manufacturing Systems
- Dr Son Tong (Siemens Digital Industries), Profs. Sangyong Park and Dietmar Goehlich (TUB), Prof Konstantinos Gatsis (Engineering Science Control Group) focusing on robust and resilient Digital Twin of Connected Mobility for Safety and Energy Efficiency
The projects map onto the call areas as follows: