Imperial College London

Riccardo Secoli, PhD, MBA

Faculty of EngineeringDepartment of Mechanical Engineering

Honorary Research Associate



+44 (0)20 7594 3667r.secoli Website




414ABessemer BuildingSouth Kensington Campus





MSc in Computer Engineering (specialisation in control system and automation) in 2006, and PhD in Mechatronics and Industrial System in 2010, both from the University of Padova (Italy). In 2009, he was a visiting PhD Student in the Biorobotics Lab (Dept. Mechanical and Aerospace Eng. - University of California Irvine - USA) where he moved to a postdoctoral fellow position until late 2011.

In 2011, he was a Research Associate at Bioengineering Depart. and later, from 2012 in the Mechatronics in Medicine Lab at Dept. Mechanical Eng. - Imperial College London, till late 2020.

In 2018/2019, he was an Imperial College Techcelerate fellow, and in the period 2019/2021, a Medtech Superconnector Fellow

In August 2020, he graduated with an Executive MBA from Quantic School of Business and Technology (Washington DC - USA)

From Nov 2020 to Nov 2022, he served as Technology Transfer Manager at the Hamlyn Centre for Robotic Surgery

Since Nov 2022 with a position of Honorary Research Associate at the Department of Mechanical Engineering

Main Research Topics: medical robotics: bio-inspired minimally invasive surgical systems, assistive devices for rehabilitation. Frugal innovation.

Other roles:

  • Since 2018 - Postdoc Rep in the Mechanical Engineering Department and from
  • Since 2020 - a member of Equality and Departmental Culture Committee for the Mechanical Engineering Department
  • Since 2020 - a member of the Health & Safety Committee of the Mechanical Engineering Department.
  • Coordinator for the robotic theme of the European Project: EDEN2020 project.
  • Since 2012 - ICON consultant



Aktas A, Demircali AA, Secoli R, et al., 2023, Towards a procedure-optimised steerable catheter for deep-seated neurosurgery, Biomedicines, Vol:11, ISSN:2227-9059, Pages:1-17

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

Sciortino T, Secoli R, D'Amico E, et al., 2021, Raman Spectroscopy and Machine Learning for IDH Genotyping of Unprocessed Glioma Biopsies, Cancers, Vol:13

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