SPIRIT Kick-off!
SPIRIT (Swedish Programme for Innovative Researchers Impact Training) was launched at KTH Innovation via a 3-day programme that brought all researchers together with mentors and coaches to get going. Besides...
November 14, 2024
Tobias Larsson | Professor (PhD)
Professor and research entrepreneur in product development and innovation
SPIRIT (Swedish Programme for Innovative Researchers Impact Training) was launched at KTH Innovation via a 3-day programme that brought all researchers together with mentors and coaches to get going. Besides...
Johan Flyborg today defended his PhD thesis. This was PhD number 31 for me as a supervisor. Information Thesis title: Improving Oral Health assisted by Smart Powered Toothbrushes and exploring...
Project within joint BTH / Region Blekinge 50 MSEK initiative Innovation capability is at the core if you want to be able to rapidly adopt to new situations as anorganisation...
Sofia Schön is an industrial PhD candidate with Saab that started October 25, 2024, signed up in Mechanical Engineering research education under Professor Tobias Larsson. She will be working close to the Marine Technology...
The MT1556 Innovative and Sustainable Product Development course became the first undergraduate course to utilize the Virtual Production Studio Lab (VPSL). This milestone occurred during the final presentations of the...
BTH stärker samarbetet med Saab genom sin första gemensamma doktorandtjänst. Doktorandens fokus blir att utveckla beslutsstöd för framtida minröjningsinsatser. Avtalet, som signeras idag, innebär att Sofia Schön anställs som industridoktorand...
BTH arrangerade “Best Practice, Pedagogy & Collegial Learning 2024”, ett tillfälle för anställda att kunna ta del av lärarkollegors kunskaper och erfarenheter gällande pedagogik och didaktik. Evenemanget var ett led i BTH’s utvecklingsarbete kring att...
Abstract The paper presents an Artificial Intelligence-driven approach to predictive maintenance for Product-Service System (PSS) development. This study focuses on time-based and condition-based maintenance, utilizing variational autoencoders to identify both...