Dr Mark Goudswaard
MEng
Current positions
Contact
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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.
Projects and supervisions
Research projects
The development, implementation and validation of the Physical-Digital Affordance Index for improving engineering decision making
Principal Investigator
Managing organisational unit
Department of Mechanical EngineeringDates
01/08/2023 to 31/12/2025
The development, implementation and validation of the Physical-Digital Affordance Index for improving engineering decision making
Principal Investigator
Managing organisational unit
Department of Mechanical EngineeringDates
01/08/2023 to 31/12/2025
The development, implementation and validation of the Physical-Digital Affordance Index for improving engineering decision making
Principal Investigator
Managing organisational unit
School of Electrical, Electronic and Mechanical EngineeringDates
01/08/2023 to 31/12/2025
Publications
Recent publications
10/02/2025Investigation of Triply Periodic Minimal Surfaces to Lightweight Liquid Cooling Jackets for High-Performance Electrical Machines
2024 IEEE Energy Conversion Congress and Exposition (ECCE)
Community Robotics
2024 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO)
Development of a Computational Design Tool for the Automatic Routing of Hairpin End-Windings
13th International Conference on Power Electronics, Machines and Drives (PEMD 2024)
Information Modelling of Extrusion-based 3D Printing Process for Digital Twins
Data mining prototyping knowledge graphs for design process insights
Journal of Engineering Design
Thesis
A hybrid virtual-physical design methodology to enable the democratisation of design for FDM
Supervisors
Award date
24/03/2020
Related people
Professor Ben Hicks
Professor in Mechanical Engineering
School of Electrical, Electronic and Mechanical Engineering
Dr James Gopsill
Senior Lecturer
School of Electrical, Electronic and Mechanical Engineering
Dr Chris Snider
Associate Professor in Engineering Design
School of Electrical, Electronic and Mechanical Engineering
Professor Aydin Nassehi
Head of School
School of Electrical, Electronic and Mechanical Engineering
Mr Chris Cox
Lecturer in Mechanical Engineering
School of Electrical, Electronic and Mechanical Engineering