María Ortiz de Zúñiga | Data Analysis | Best Researcher Award

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Mrs. María Ortiz de Zúñiga | Data Analysis | Best Researcher Award

Mrs. María Ortiz de Zúñiga, UNED and Fusion for Energy, Spain

Publication Profile

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🌟 Summary

Mrs. María Ortiz de Zúñiga With over 17 years of experience in Fusion for Energy, I have contributed to various complex, multidisciplinary projects such as the ITER program, leading and managing teams, technical contracts, and large-scale nuclear mechanical systems. My expertise spans across engineering disciplines, including mechanical and computer engineering, and I hold two Master’s degrees in Mechanical Engineering and Computer Engineering. I specialize in project management, leadership, and AI for engineering development, focusing on driving innovation in advanced manufacturing technologies, nuclear safety, and stakeholder management.

🎓 Education

  • Philosopher’s Degree (PhD) in Industrial Technologies
    Universidad Nacional de Educación a Distancia – UNED (2021–Present)
  • Master of Engineering in Mechanical Engineering in Advanced Manufacturing Technologies
    Universidad Nacional de Educación a Distancia – UNED (2017–2021)
  • Master of Engineering in Computer Engineering
    Universidad Pontificia de Comillas – ICAI (2002–2007)

💼 Professional Experience

  • Senior Technical Officer, Fusion for Energy (2022–Present)
    Leading AI for engineering developments in the ITER project, responsible for managing expert contracts and representing F4E in the RCC-MRx nuclear code subcommittee.
  • Deputy Program Manager, Antennas Programme for ITER (2021–2022)
    Managed the design, procurement, and manufacturing of the Electron Cyclotron Antenna, including stakeholder and contract management.
  • Project Manager, ITER Vacuum Vessel Sectors (2019–2021)
    Oversaw the manufacturing of the last 3 European Vacuum Vessel sectors, managing financial, administrative, and technical contract responsibilities.
  • Technical Project Coordinator, ITER Vacuum Vessel (2016–2019)
    Led a team managing technical data, project contracts, and the supply chain for the Vacuum Vessel’s nuclear mechanical systems.
  • Planning Officer, Fusion for Energy (2007–2015)
    Managed planning and scheduling for ITER-related projects, supported risk management, and developed procurement schedules.

📝 Academic Citations

  • Co-chair, Artificial Intelligence Track (CT-19) at ASME-PVP
  • Reviewer at international conferences like SMiRT, ITU, and IAEA
  • Published research on AI in manufacturing and engineering processes for ITER components.

💻 Technical Skills

  • Engineering Software: Proficient in CAD systems, Primavera, Enovia Smarteam PLM, and AI tools for engineering applications.
  • Project Management: Skilled in planning, scheduling, risk management, earned value management, and contract negotiations.
  • Nuclear Safety: Experienced in working with the RCC-MRx code, nuclear safety audits, and quality control for nuclear-related projects.
  • Languages: Fluent in up to 6 European languages.

👩‍🏫 Teaching Experience

  • Co-led the Artificial Intelligence Community within Fusion for Energy to raise awareness and promote AI usage in engineering projects.
  • Actively contributed to Diversity, Equity, and Inclusion initiatives within F4E, supporting training and workshops on these topics.

🔬 Research Interests On Data Analysis

  • Artificial Intelligence for manufacturing optimizations in nuclear components.
  • Data Analysis in high-tech engineering, focusing on predictive models for welding success, ultrasonic testing, and superconducting magnets.
  • Development and integration of advanced manufacturing technologies into nuclear engineering systems.

Publication Top Notes

Project management techniques used in the European Vacuum Vessel sectors procurement for ITER

📑 Authors: M Losasso, MO de Zuniga, L Jones, A Bayon, JF Arbogast, J Caixas, …
📰 Journal: Fusion Engineering and Design
📅 Year: 2012

Artificial Intelligence for the Output Processing of Phased-Array Ultrasonic Test Applied to Materials Defects Detection in the ITER Vacuum Vessel Welding Operations

📑 Authors: M Ortiz de Zuniga, N Prinja, C Casanova, A Dans Alvarez de Sotomayor, …
📰 Journal: Pressure Vessels and Piping Conference
📅 Year: 2022

Artificial Intelligence for quality control in manufacturing applied to materials defects detection in the ITER Vacuum Vessel welding operations

📑 Authors: MO de Zúñiga López-Chicheri, M Febvre, ADA de Sotomayor, N Prinja, …
📰 Journal: IASMiRT
📅 Year: 2022