Guglielmo Papini

Conducting research on control, modelling, and experimental testing of offshore energy systems. Currently active on several competitive projects, such as: • COIN (Horizon Europe): fault diagnosis, fault-tolerant control and health-aware control for wave energy converters. • SmartBOG (PNRR/MASE): predictive control for liquid hydrogen Boil-Off Gas management in maritime applications.

Degree awarded cum laude (top 10% of evaluated candidates). Thesis: "Reliable energy-maximising control for wave energy converters enabled by fault diagnosis and fault-tolerant control." Authored 25 indexed peer-reviewed publications - Owned an end-to-end control project for wave energy converters, from concept and theoretical design to software implementation and experimental validation, delivering all milestones on time.​ - Coordinated multidisciplinary test campaigns in international facilities, managing budgeting, procurement, logistics, safety, and compliance procedures.​ - Collaborated with international teams and stakeholders (academic and industrial), aligning technical objectives and communicating progress and results in a clear, actionable way.​ - Translated research into tangible outputs for partners: peer-reviewed publications, contributions to EU project proposals, and open-access datasets that de-risk technology development.​ - Designed analytics pipelines in Matlab and Python for experimental data, supporting design choices, performance evaluation, and risk reduction in control system deployment.

- Led the development of advanced modelling and control strategies for wave energy converters in partnership with external companies, aligning scope, deliverables, and timelines.​ - Produced data-driven reports, dashboards, and technical presentations to support decision-making by sponsors and external stakeholders.​ - Facilitated stakeholder reviews, collected feedback, and translated it into updates of technical roadmaps and project plans.​ - Presented project outcomes at international conferences, strengthening public-speaking skills and the ability to communicate complex results to non-specialist audiences.

SEAMORPH is a deep-tech startup developing a reconfigurable autonomous underwater robot for survey and maintenance of marine structures, ranging from offshore renewable energy systems to submerged cable infrastructure. As CTO, I define and oversee the company's scientific and technological roadmap, with a focus on advanced control strategies and autonomous guidance systems.

- Visiting role in the Automatic Control Department, contributing expertise on modelling, diagnosis, and control of wave energy systems to an international research team.​ - Applied advanced estimation and fault-tolerant control concepts in a new environment, adapting methods and tools to different workflows and project constraints.​ - Strengthened collaboration between institutions and contributed to joint publications and project ideas in the area of marine renewable energy control

Degree awarded cum laude (top 10% of evaluated candidates). Thesis: "Reliable energy-maximising control for wave energy converters enabled by fault diagnosis and fault-tolerant control." Supervised by Prof. Giuliana Mattiazzo.

Degree awarded cum laude. Automation engineering track (LM-25).