Imperial College London


Faculty of EngineeringDepartment of Mechanical Engineering

Senior Research Software Engineer







457City and Guilds BuildingSouth Kensington Campus





Stefano Galvan is a Senior Research Engineer in the Mechanical Engineering Department. His interests are software engineering best practices, software architectures, software design and implementation, software reproducibility, software portability (with a particular emphasis on Linux), version control, CI/CD, and data management.

Stefano received his MSc and PhD in Computer Science at the University of Verona (Italy). Starting from 2001, he has been working as an experienced computer scientist on challenging academic research projects, contributing as coordinator, lead software developer and system administrator. From 2009 to 2013, he worked in industry as IT manager and consultant, his main role being software developer for embedded systems.

In 2013 he joined the Tribology group at Imperial College. His work as a Research Fellow focuses on the management of European Projects in collaboration with the Mechatronics in Medicine Lab (ACTIVE until 2015 and EDEN2020 until 2022). As an Advanced Research Fellow Stefano collaborated with the  Non Destructive Evaluation group to design and develop graphical user interfaces for research software. More recently, with the Dynamics group, he worked on the assessment of the Vibration University Technology Centre software infrastructure while designing a maintainable CI/CD ad-hoc solution for software development and testing.



Secoli R, Matheson E, Pinzi M, et al., 2022, Modular robotic platform for precision neurosurgery with a bio-inspired needle: system overview and first in-vivo deployment, Plos One, ISSN:1932-6203

Segato A, Di Marzo M, Zucchelli S, et al., 2022, Inverse Reinforcement Learning Intra-Operative Path Planning for Steerable Needle, Ieee Transactions on Biomedical Engineering, Vol:69, ISSN:0018-9294, Pages:1995-2005

Jamal A, Yuan T, Galvan S, et al., 2022, Insights into infusion-based targeted drug delivery in brain: perspectives, challenges and opportunities, International Journal of Molecular Sciences, Vol:23, ISSN:1422-0067, Pages:3139-3139

Segato A, Vece CD, Zucchelli S, et al., 2021, Position-Based Dynamics Simulator of Brain Deformations for Path Planning and Intra-Operative Control in Keyhole Neurosurgery, Ieee Robotics and Automation Letters, Vol:6, ISSN:2377-3766, Pages:6061-6067

Pinzi M, Watts T, Secoli R, et al., 2021, Path replanning for orientation-constrained needle steering, Ieee Transactions on Biomedical Engineering, Vol:68, ISSN:0018-9294, Pages:1459-1466

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