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We’re hiring!

Come work with us at Blekinge Institute of Technology, Department of Mechanical Engineering. We are looking for a PhD candidate in mechanical engineering with focus on model driven product development. Closely related to our research profile in Model Driven Development and Decision Support. Find the position here For more information contact: Dr Johan Wall, Head of […]

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Research Spotlight; Alexander Barlo

Alexander Barlo is since early 2021 a PhD candidate in Mechanical Engineering at BTH. He is working with failure prediction in Sheet Metal Forming (SMF) Accurate failure prediction in Sheet Metal Forming (SMF) is a core task for all Computer Aided Engineering (CAE) departments within e.g., the automotive industry. Simulation based failure prediction of the […]

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Congratulations Omsri Kumar Aeddula, Licentiate in Mechanical Engineering!

Omsri Kumar Aeddula presented his licentiate thesis entitled “Data-Driven Decision Support Systems for Product Development – A Data Exploration Study Using Machine Learning” in front of an hybrid audience of online listeners and physically present people. In all a crowd of some 50 participants. Omsri presented the context and motivation for his research and then […]

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ASPECT – A System for Electric and Connected Transport Solutions

Project ASPECT aims to, based on learnings from pilot Electric-Site, lift the technology to an energy optimized solution to scale in both volume and size. Focus for this project is within confined area. The project includes design of energy infrastructure, electric system on machines and site management system. Furthermore it includes validation of digital infrastructure […]

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TRUST-SOS – TRUSTed – Site Optimisation Solutions

In the project TRUST–SOS, we are developing digitalized services to increase the level of trusted decision making to optimise overall site systems in off-road transport applications. Today, off-road sites and fleet operations involve a high degree of experience-based decision making to create the optimal usage of equipment and resources at the site and to reduce […]

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I-Stamp – Intelligent and sustainable stamping processes using hybrid control strategies together with process monitoring

The machine tool investment for stamping (presses and tools) is cost intensive in the automoti The machine tool investment for stamping (presses and tools) is cost intensive in the automotive sector. Maximizing return on investment (ROI) against these assets is crucial for maintaining a healthy bottom line. Additionally, minimizing the amount of scrap is necessary […]

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Data-Driven Design Automation for Product-Service Systems Design: Framework and Lessons Learned from Empirical Studies

Abstract The digitalization era has brought about unprecedented challenges for the manufacturing industries, pushing them to deliver solutions that encompass both product and service-related dimensions, known as Product-service Systems. This paper presents a number of lessons learned in the process of integrating the analysis of operational data as decision support in engineering design based on […]

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Wrapping up the eTWIN project

TWIN – Digital-Twin enabled Transition into Electromobility and Autonomy in Construction Equipment was a short feasibility study into using digital twins in mining operations carried out during 2021

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Welcome Giulia Wally Scurati, postdoctoral research fellow!

Dr Giulia Wally Scurati is a post-doc researcher at BTH employed during the fall of 2021 working with supporting engineering decision making towards a sustainable society. Giulia is part of the KKS research profile “Model Driven Development and Decision Support“ and other ongoing research projects within the research lab. WHO ARE YOU AND WHAT IS YOUR BACKGROUND? My […]

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A Solution with Bluetooth Low Energy Technology to Support Oral Healthcare Decisions for improving Oral Hygiene

Abstract The advent of powered toothbrushes and associated mobile health applications provides an opportunity to collect and monitor the data, however collecting reliable and standardized data from large populations has been associated with efforts from the participants and researchers. Finding a way to collect data autonomously and without the need for cooperation imparts the potential […]

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