Senior Lecturer Email F.Giorgio-Serchi@ed.ac.uk Location G.11 Scottish Microelectronics Centre Engineering Discipline Mechanical Engineering Research Institutes Integrated Micro and Nano Systems Research Publications Biography Dr. Giorgio-Serchi is a Senior Lecturer (Associate Professor) within the School of Engineering, Institute of Integrated Micro and Nano System, and teaches within the Mechanical Engineering discipline; he is affiliated with the Edinburgh Centre for Robotics. His research focueses on soft-bodied underwater vehicle design and control, soft manipulator control, model-predictive control of unmanned underwater vehicles and soft robot sensing.Dr Giorgio-Serchi holds a Laurea Degree (MSc equivalent) in Marine Science & Technology from the University of Pisa. He was a Marie-Curie Early Stage Training (EST) Fellowship and PhD in Computational Fluid Dynamics at the University of Leeds under the supervision of Prof. Jeff Peakall. In 2011 he was awarded a Marie-Curie European Reintegration Grant (ERG) to undertake a Research Fellowship in bioinspired aquatic propulsion at the Centre for Sea Technologies and Marine Robotics of the Biorobotics Institute, as part of the CFD-OctoProp project and the project PoseiDrone, under the supervision of Prof. Cecilia Laschi. In 2015, sponsored by the Lloyd's Register Foundation, he moved to the Fluid Structure Interaction Group of the University of Southampton to work on the development of bioinspired soft-bodied underwater vehicles and the study of aquatic propulsion aided by body-shape variations under the supervision of Prof. Gabriel Weymouth. In 2018 Dr Giorgio-Serchi moved to the University of Edinburgh as Chancellor 's Fellow in Robotics and Autonomous Systems (Tenure Track Assistant Professor), as part of the Data Driven Innovation initiative, joined the Soft Systems Group and started work within the OrcaHub in collaboration with Dr. Kiprakis (Institute of Energy Systems), Prof. Mistry (School of Informatics) and Dr. Stokes (Scottish Microelectronics Institute).Dr Giorgio-Serchi currently maintains collaboration with Dr. Weymouth at the DelftTU, Dr. Calisti at the Scuola Superiore Sant'Anna and Dr. Renda at Kahlifa University. I also maintain very active collaborations with Prof. Suzumori's Endorobotics Lab at Tokyo Tech, Prof. Mochiyama's Flexible Robotics Lab at Tsukuba University, Prof. Tadokoro's Human-Robot Informatics Lab at Tohoku-Sendai University and Hosoya's Mechanical Dynamics Lab at Shibaura Institute of Technology. Academic Qualifications PhD in Computational Fluid Dynamics from the University of Leeds, CFD Centre, 2011Laurea (MSc equivalent) in Marine Science and Technologies, University of Pisa, 2006 Professional Qualifications and Memberships IEEEIEEE Robotics and Automation Society Teaching Lecturer for Control and Instrumentation Engineering 3 (SCEE09002)Course Organiser and Lecturer for O&M Robotics and Sensors (Postgraduate Course: IDCORE- PGEE11235)Course Organiser and Lecturer for Industrial Robotics (Postgraduate Course: MSc DDM - PGEE11212)Course Organiser for Professional Issues for Mechanical Engineers (SCEE09001)Lecturer for Applications of Sensor and Imaging Systems (Postgraduate Course: MSc SIS - PGEE11136) Further Information Latest Research OutputDashty Samal Rashid, Francesco Giorgio-Serchi, Naoki Hosoya, David Garcia Cava, "Energy localization and eigenvalue veering induced by local constraints in bolted structures", Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2025, https://doi.org/10.1098/rspa.2025.0501Delin Hu, Huazhi Dong, Francesco Giorgio-Serchi, Yunjie Yang, "A self-supervised learning framework for soft robot proprioception", IEEE Transactions on Neural Networks and Learning Systems, 2025, DOI: 10.1109/TNNLS.2025.3610759Kyle L Walker, Laura-Beth Jordan, Francesco Giorgio-Serchi, "Nonlinear model predictive dynamic positioning of a remotely operated vehicle with wave disturbance preview", The International Journal of Robotics Research, 2025, https://doi.org/10.1177/02783649241286909Delin Hu, Francesco Giorgio-Serchi, Shiming Zhang, Yunjie Yang, "Stretchable e-skin and transformer enable high-resolution morphological reconstruction for soft robots", Nature Machine Intelligence, 2023, https://doi.org/10.1038/s42256-023-00622-8