XPRES - Excellence in Production Research
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The initiative for Excellence in Production Research, XPRES, is a joint initiative between KTH, MDH and Swerea. XPRES was elected as one of two strategic initiatives within Manufacturing engineering in Sweden by the government in 2010. XPRES will establish a long term internationally competitive platform for production research to meet future challenges of world leading Swedish industry. By complementing each others scientific competences and roles, the unique research and education consortium of KTH, MDH and Swerea covers the fields of Production processes, Production systems and Digital engineering. The industrial partners represent world leading Swedish manufacturing industries including: heavy vehicle, machine, component manufacturing and aircraft.
An Improved Worst-Case Response Time Analysis for AVB Traffic in Time-Sensitive Networks (Dec 2024) Daniel Bujosa Mateu, Julián Proenza , Alessandro Papadopoulos, Thomas Nolte, Mohammad Ashjaei 45th IEEE Real-Time Systems Symposium (RTSS 2024)
The computing continuum: From IoT to the cloud (Oct 2024) Auday Al-Dulaimy, Matthijs Jansen , Bjarne Johansson, Animesh Trivedi , Alexandru Iosup , Mohammad Ashjaei, Antonino Galletta , Dragi Kimovski , Radu Prodan , Konstantinos Tserpes , George Kousiouris , Chris Giannakos , Ivona Brandic , Nawfal Ali , André B. Bondi , Alessandro Papadopoulos Internet of Things (IoT)
An Expert System for Managing the Render Farms in Cloud Data Centers (Sep 2024) Auday Al-Dulaimy, Karam Turki , Thomas Nolte, Alessandro Papadopoulos Research and Technologies for Society and Industry (RTSI 2024)
TALESS: TSN with Legacy End-Stations Synchronization (Aug 2024) Daniel Bujosa Mateu, Julián Proenza , Alessandro Papadopoulos, Thomas Nolte, Mohammad Ashjaei Open Journal of the Industrial Electronics Society (OJIES)
Deadline-constrained security-aware workflow scheduling in hybrid cloud architecture (Aug 2024) Somayeh Abdi, Mohammad Ashjaei, Saad Mubeen Future Generation Computer Systems (FGCS)
Cost-aware Workflow Offloading in Edge-Cloud Computing Using a Genetic Algorithm (Jul 2024) Somayeh Abdi, Saad Mubeen, Mohammad Ashjaei The Journal of Supercomputing (Supercomputing)
| Partner | Type |
|---|---|
| KTH Royal Institute of Technology | Academic |
| Swerea IVF | Industrial |
