Projects per year
Personal profile
Research interests
Dr Mark Goudswaard is a lecturer in digital and data driven engineering with specialisation in the area of design and manufacture at the University of Bristol.
His research falls into three overarching streams: i) people-led engineering; ii) data-driven product development; and, iii) advanced manufacturing and production systems.
While each of these research streams have core engineering science foci, there is also recognition that they are part of wider socio-technical systems that require input from a variety of disciplines to be adequately understood. Because of this, both research approaches and collaborations are typically transdisciplinary in nature.
His teaching is focussed on design and manufacture as unit director for Principles of Mechanical Engineering and also includes a course on AI applications in mechanical engineering.
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Collaborations and top research areas from the last five years
Projects
- 3 Active
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The development, implementation and validation of the Physical-Digital Affordance Index for improving engineering decision making
1/08/23 → 31/12/25
Project: Research, Parent
Research output
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Community Robotics: A New Paradigm for Robotic Design and Innovation
Maule, E., Philamore, H., Studley, M., Manchester, H. & Goudswaard, M. A., 19 Jun 2024, 2024 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO). Institute of Electrical and Electronics Engineers (IEEE), p. 153-160 8 p. (IEEE Workshop on Advanced Robotics and its Social Impacts, ARSO).Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)
Open AccessFile4 Downloads (Pure) -
Data mining prototyping knowledge graphs for design process insights
Gopsill, J., Giunta, L., Goudswaard, M., Snider, C. & Hicks, B., 17 Jan 2024, (E-pub ahead of print) In: Journal of Engineering Design.Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open Access1 Citation (Scopus) -
IDEA challenge 2022 dataset: Prototypes from a design Hackathon
Ege, D. N., Goudswaard, M., Gopsill, J., Hicks, B. & Steinert, M., 1 Jun 2024, In: Data in Brief. 54, 7 p., 110363.Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open Access1 Citation (Scopus)
Datasets
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The IDEA Challenge 2022 dataset
Ege, D. N. (Creator), Goudswaard, M. A. (Creator), Gopsill, J. A. (Creator), Hicks, B. J. (Creator) & Steinert, M. (Creator), Zenodo, 2023
DOI: 10.5281/zenodo.8328027, https://zenodo.org/record/8328027
Dataset
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Open access data from the International Design Engineering Annual (IDEA) Challenge 2021
Goudswaard, M. A. (Creator), Gopsill, J. A. (Creator), Giunta, L. (Creator) & Kent, L. (Creator), Zenodo, 22 Feb 2022
DOI: 10.5281/zenodo.6225854, https://zenodo.org/record/6225854
Dataset
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The creation of a neural network based capability profile to enable generative design and the manufacture of functional FDM parts
Hicks, B. J. (Creator), Snider, C. M. (Creator), Jones, D. (Creator), Bennett, P. D. (Creator), Mathias, D. (Creator), Gebler, O. F. (Creator), Goudswaard, M. A. (Creator) & Nassehi, A. (Creator), University of Bristol, 16 Dec 2020
DOI: 10.5523/bris.128vc9hwe7zgm29csj8a84oca2, http://data.bris.ac.uk/data/dataset/128vc9hwe7zgm29csj8a84oca2
Dataset
Thesis
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A hybrid virtual-physical design methodology to enable the democratisation of design for FDM
Author: Goudswaard, M. A., 24 Mar 2020Supervisor: Hicks, B. J. (Supervisor) & Nassehi, A. (Supervisor)
Student thesis: Doctoral Thesis › Doctor of Philosophy (PhD)
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