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School of Industrial Engineering and Management

Our core knowledge areas include industrial design and innovation, product and production development, materials development, energy technology, learning in engineering sciences as well as industrial economics, organisation and management. Our efforts are directed towards a green and sustainable society for the future.

Departments 

Illustraion

IRIS – interdisciplinarity for a new industrial society

IRIS is an overall school initiative that enables researchers to work collaboratively across departments at the ITM school, and on joint research projects. With a holistic interdisciplinary perspective, we aim to enhance the impact of our research for more a sustainable industry and society.

Latest news

Truck
Image from skogsforsk.se

Open position: PhD Candidate – Simulation of Electrification in Forest Transport on Roads

Skogforsk, in collaboration with ITRL and the departement of Engineering Design at KTH, is seeking a PhD candidate specialising in mathematical simulation of sociotechnical systems. The PhD project wi...

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Silvia Trevisan and Rafael Guedez
Rafael and Silvia visiting Exheat Ltd’s electric heater manufacturing facilities.

New EU funding boosts thermal systems research

New funding for KTH’s experts in thermal systems paves way for new experiments and brand new rigs in the lab at the energy department. We sat down with researchers Rafael Guedez and Silvia Trevisan to...

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Researcher next to the solar simulator

Solar simulator enhances testing and training

The sun has reached KTH in the form of a second test rig for sunlight simulation. The new solar simulator will transform the landscape of PV solar energy testing and training.

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Publications

[1]
S. Liu, L. Wang and R. X. Gao, "Cognitive neuroscience and robotics : Advancements and future research directions," Robotics and Computer-Integrated Manufacturing, vol. 85, 2024.
[2]
X. Li et al., "ACWGAN-GP for milling tool breakage monitoring with imbalanced data," Robotics and Computer-Integrated Manufacturing, vol. 85, 2024.
[3]
X. Zhang et al., "Knowledge graph and function block based Digital Twin modeling for robotic machining of large-scale components," Robotics and Computer-Integrated Manufacturing, vol. 85, pp. 102609, 2024.
Full list in the KTH publications portal
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Belongs to: School of Industrial Engineering and Management
Last changed: Mar 01, 2023