Published work

Related projects include publications that have been published from initiatives outside of Next UPPS, but they are still related to ultra-personalisation. These publications are authored by the UPPS team members, professors, and PhD students from other universities, often closely connected to TU Delft. Here you will find a complete list of related projects. Topics include creating machine learning models for shoe lasts, using AI for cooperative production line planning and development of new approaches in footwear design.

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Adaptive time-delay estimation and control of optimized Stewart robot

Tajdari, F. (2022)

Journal Of Vibration And Control, 29(23–24), 5511–5531

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Advancing Non-Rigid 3D/4D Human Mesh Registration for Ultra Personalization

Tajdari, F. (2023)

[Dissertation (TU Delft), Delft University of Technology]

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CSCW in UPPS – Computer Supported Collaborative Work in Ultra Personalized Products and Services

Aschenbrenner, D., Kortuem, G., Lukosch, S., Geraedts, J. (2018)

Workshop “CSCW and the new Wave of Digitalization” ECSCW. The 16th European Conference on Computer-Supported Cooperative Work

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Design method for cost-effectively realizing high variety products

Torn, R., & Vaneker, T. H. (2021)

Procedia CIRP, 96, 139–144

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Feature Preserving Non-Rigid Iterative Weighted Closest Point and Semi-Curvature Registration

Tajdari, F., Huysmans, T., Yang, Y., & Song, Y. (2022)

IEEE Transactions On Image Processing, 31, 1841–1856

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I am Not an Object: Reframing 3D Body Scanning for Co-Design

Mironcika, S., Hupfeld, A., Frens, J., Wensveen. S. (2020)

Proceedings of the 2020CHI Conference on Human Factors in Computing Systems (CHI ’20)

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Image-based modelling for Adolescent Idiopathic Scoliosis: Mechanistic machine learning analysis and prediction

Tajdari, M., Pawar, A., Li, H., Tajdari, F., Maqsood, A., Cleary, E., Saha, S., Zhang, Y.J., Sarwark, J.F. and Liu, W.K. (2020)

Computer methods in applied mechanics and engineering, 374, p.113590

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Implementation and intelligent gain tuning feedback–based optimal torque control of a rotary parallel robot

Tajdari, F., & Toulkani, N. E. (2021)

Journal Of Vibration And Control, 28(19–20), 2678–2695

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Interpreting the Industry 4.0 future: technology, business, society and people

Schiele, H., Nehles, A. C. B., Stegmaier, P., Delke, V., & Torn, I. (2021)

Journal Of Business Strategy, 43(3), 157–167

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Manufacturing of Ultra Personalised and Flexible Products using FDM.

Mulder, R.H.

University of Twente, Faculty of Engineering Technology. Bachelor project (internal publication)

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Mass Personalization with Industry 4.0 by SMEs: a concept for collaborative networks

Torn, I. A. R., & Vaneker, T. H. (2019)

Procedia manufacturing, 28, 135-141

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Next-generation prognosis framework for pediatric spinal deformities using bio-informed deep learning networks

Tajdari, M., Tajdari, F., Shirzadian, P., Pawar, A., Wardak, M., Saha, S., Park, C., Huysmans, T., Song, Y., Zhang, Y., Sarwark, J. F., & Liu, W. K. (2022)

Engineering With Computers, 38(5), 4061–4084

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Non-Rigid registration via intelligent Adaptive Feedback Control

Tajdari, F., Huysmans, T., & Song, Y. (2024)

IEEE Transactions On Visualization And Computer Graphics, 1–17

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Posture-invariant 3D Human Hand Statistical Shape Model

Yang, Y., Yuan, T., Huysmans, T., Elkhuizen, W., Tajdari, F. and Song, Y. (2020)

Journal of Computing and Information Science in Engineering, pp.1-31

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Production of Ultra Personalized Flexible Wearable Devices using Stereolithography

Kieskamp, B.M.

University of Twente, Faculty of Engineering Technology. Bachelor project (internal publication)

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Snap-Snap T-Shirt: Posture Awareness Through Playful and Somaesthetic Experience

Mironcika, S., Hupfeld, A., Frens, J., Asjes, J., Wensveen. S. (2020)

Proceedings of the TEI ’16: Tenth International Conference on Tangible, Embedded, and Embodied Interaction (TEI ’20)

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Towards a Structured Decision-Making Framework for Automating Cognitively Demanding Manufacturing Tasks

Torn, R., Chemweno, P., Vaneker, T. H., & Arastehfar, S. (2021)

Lecture notes in mechanical engineering (pp. 190–197)

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