Computer-Aided Manufacturing Group
We are based in the Institute for Manufacturing under the Department of Engineering at University of Cambridge. We develop manufacturing systems that learn how to make things better, then use these to make better medical devices.
​
If you are interested in either a Ph.D. or postdoctoral position please get in touch!
Research
LEARNING MANUFACTURING SYSTEMS
Developing AI-based approaches to improve manufacturing
Image: Nature Commun. 13, 4654
DIGITALLY TAILORED MEDICAL DEVICES
Additively manufacturing wearable and implantable medical devices that better mimic and integrate with patients/wearers.
Image: Felice Frankel
Automation of Scientific Research
Developing software and hardware to enable autonomous research
People
Sebastian Pattinson
Associate Professor
Sebastian Pattinson is an Associate Professor in the Department of Engineering at the University of Cambridge. There, he leads the Computer-Aided Manufacturing group in the Institute for Manufacturing. He is also co-founder of Matta, a spin-out developing AI-based software for the manufacturing industry. He was a postdoc in Mechanical Engineering at MIT and received Ph.D. and Masters degrees in Materials Science from Cambridge. His awards include a UK Academy of Medical Sciences Springboard award; US National Science Foundation postdoctoral fellowship and a Google X Moonshot Fellowship.
Lefan Wang
Leverhulme Early Career Postdoc Fellow
Lefan received her PhD degree in Engineering at the Cardiff University in 2018, with her research on the development of wearable sensors for hand motion monitoring. Then she worked as a Postdoc Research Fellow in Mechanical Engineering at the University of Leeds, where she mainly focused on the design of sensing system for the prevention of diabetic foot ulcers. Tri-axis inductive force sensors were explored and optimised using 3D finite element modelling. A sensing insole with an integration of 64 tri-axis force sensors was designed to measure plantar pressure and shear stress simultaneously. Her awards include International travel grants, Innovative Interdisciplinary Biomedical Engineering Research Development Fellowship, and International Doctoral Scholarship.
Xiaohan Li
.png)
Postdoc
Xiaohan earned her PhD in Engineering from the University of Edinburgh in 2023, where her work focuses on designing surrogate models for heat transfer simulation in laser powder bed fusion. These models are time-efficient compared with the finite element method and reach different trade-offs between accuracy, time cost, robustness, and offline preparation. Before commencing her PhD program, she obtained BEng in railway traffic signalling and control at Southwest Jiaotong University and MSc in control systems at Imperial College London. She was awarded by Principal's Career Development Scholarship, Edinburgh Global Research Scholarship, and Santander Master's Scholarship.
Daiki Ikeuchi
PhD Student
Daiki completed his B.Eng. and M.Phil. at the University of Sydney where he worked on one of Future Science Platform projects (FSP AIM) with the Australia’s national science agency, CSIRO, as a research affiliate. His work was focused on the interface between additive manufacturing and machine learning to facilitate greater quality control for the commercial integration of deposition-based additive manufacturing technologies. His awards include Peterhouse Graduate Studentship, Research Training Program (International) scholarship, AIM Openness Award and CSIRO Research Supplementary Funds.
Haihui Yan
PhD Student
Haihui graduated with an MEng in Mechanical Engineering from the University of Edinburgh in 2020. During her studies, she completed an internship at Bosch Rexroth in the Application Engineering Department, where she worked upon radial piston motors for hydraulic machinery including agricultural and forestry applications. She also completed her MEng project with Bosch Rexroth focusing on the modelling of a hydraulic valve. Following this, she joined the AgriFoRwArdS CDT to pursue a PhD in Agri-food robotics.
Miaomiao Zou
PhD Student
Miaomiao completed her B.Eng. study of Material Engineering at the Beijing University of Chemical Technology (BUCT) in 2018. As an exchange student, she did her bachelor thesis on dental regenerative materials at NMI, Germany. In 2021, she received her master's degree from the Institute of Chemistry, Chinese Academy of Sciences (ICCAS) where she focused on DLP 3D printing of biomimetic structures for functional devices.
Christos Margadji
PhD Student
Christos is researching the integration of reasoning, imagination and memory into advanced manufacturing processes. He holds an MSc in Artificial Intelligence from Imperial and brings industry experience through research positions at LLNL, California and IBM, London. His academic excellence has been recognized through multiple awards, including distinctions from the Institution of Mechanical Engineers (IMechE) and other scholarships. His vision is to bridge the gap between human-like reasoning capabilities and industrial automation systems.
Andi Kuswoyo
PhD Student
Andi completed his B.Sc. and M.Sc. in Aeronautics and Astronautics at Institut Teknologi Bandung (ITB) in 2017. During his studies, he worked on the analysis and design of composite panels utilising a genetic algorithm for optimisation purposes. Prior to his PhD study, he did his research on the low-cost manufacturing of composite parts and was involved in experiments for material properties evaluation. Following this, he joined the group to pursue a PhD in the topic of data-driven manufacturing processes.
Dick Firdaus
PhD Student
Andi completed his B.Sc. and M.Sc. in Aeronautics and Astronautics at Institut Teknologi Bandung (ITB) in 2017. During his studies, he worked on the analysis and design of composite panels utilising a genetic algorithm for optimisation purposes. Prior to his PhD study, he did his research on the low-cost manufacturing of composite parts and was involved in experiments for material properties evaluation. Following this, he joined the group to pursue a PhD in the topic of data-driven manufacturing processes.
Liyou Zhou
PhD Student
Liyou is pursuing a PhD in robotics funded by the AgriFoRwArdS CDT program. Having graduated with MEng from the University of Cambridge in 2014, Liyou worked in industry on IoT and autonomous driving applications. Liyou is currently focusing on robot learning, including novel simulation techniques, alternative learning strategies and the application of generative models in robotics.
Publications
Alumni and Destinations
Cassi Henderson (postdoc) - mOm Incubators
Xijin Hua (postdoc) - Lectureship at University of Exeter
Kerr Samson (postdoc) - Postdoc at Heriot-Watt University
Douglas Brion (PhD student) - CEO and Co-Founder of Matta Labs
Ifwat Ghazali (postdoc) - Senior Lecturer at Universiti Sains Islam Malaysia
Zehao Ji (PhD student) - private equity fund in Beijing
​
​