Maria Daniela Irene Siiskonen

Doctoral Student at Product Development

Maria is a PhD student within the research group Systems Engineering Design. Her research is aiming at developing new product and manufacturing platforms for personalized medicines. The goal is to increase the number of customized treatments but to do so in an economically feasible manner.

Source: chalmers.se
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Showing 8 publications

2020
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The 16th International CDIO Conference: Proceedings - Full Papers Vol. 1(2)

Johan Malmqvist, Jens Bennedsen, Kristina Edström et al
Proceedings (editor)
2020
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Lessons learned from the application of enhanced Function-Means modelling

Jakob Müller, Maria Daniela Irene Siiskonen, Johan Malmqvist
Proceedings of Design 2020, p. 1325-1334
Paper in proceedings
2020

Integrated product and manufacturing system platforms supporting the design of personalized medicines

Maria Daniela Irene Siiskonen, Johan Malmqvist, Staffan Folestad
Journal of Manufacturing Systems. Vol. 56, p. 281-295
Journal article
2020
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The 16th International CDIO Conference: Proceedings - Full Papers Vol. 2(2)

Johan Malmqvist, Jens Bennedsen, Kristina Edström et al
Proceedings (editor)
2020

Water transport and absorption in pharmaceutical tablets – a numerical study

Povilas Vaitukaitis, Dario Maggiolo, Johan Remmelgas et al
Meccanica. Vol. 55 (2), p. 421-433
Journal article
2019
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Decision Support for Re-Designed Medicinal Products - Assessing Consequences of a Customizable Product Design on the Value Chain from a Sustainability Perspective

Maria Daniela Irene Siiskonen, Matilda Watz, Johan Malmqvist et al
Proceedings of the International Conference on Engineering Design, ICED. Vol. 1 (1), p. 867-876
Paper in proceedings
2018
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Applying Function-Means Tree Modelling to Personalized Medicines

Maria Daniela Irene Siiskonen, Staffan Folestad, Johan Malmqvist
NordDesign 2018
Paper in proceedings

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