Isabel Pozo

VP Head of Airspace Management, Airbus

Isabel del Pozo de Poza has over 10 years experience in the ATM field. She has been actively involved in the European ATM Master Plan update and the drone roadmap. She participated in common initiatives between SESAR and NextGen, supporting the trajectory based operation concept on both ATM modernization programs. Isabel holds a PhD addressing the "Assessment of Fairness and Equity in Trajectory Based Air Traffic Management". She joined Airbus Helicopters in 2013 where she acted as an expert and later senior expert in the field of ATM and Civil Operations while heading as well the department for Mission Management. She leads the ATM/UTM R&T roadmap across Airbus and was appointed in 2018 Head of Airspace Management - UTM within the Airbus Urban Air Mobility Organisation. As Vice President, Isabel promotes the vision of an integrated air traffic management to guarantee the safe, green and efficient integration of more digital, autonomous, and new operations.

Isabel is speaking at

Application Track 4 - Autonomous systems
November 4, 2020
4:00 pm - 5:30 pm

Speakers

  • Frank Kirchner (Chair) Executive Director DFKI/Professor, DFKI/University of Bremen/Platform Lernende Systeme
  • Anibal Ollero (Chair) Full Professor, Universidad de Sevilla/euRobotics
  • Wolfram Burgard (Speaker) Toyota Autonomous Driving chair & University Freiburg
  • Isabel Pozo (Speaker) VP Head of Airspace Management, Airbus
  • Feiyu Xu (Speaker) Global Head of Artificial Intelligence, SAP, SAP
  • Kean Liu (Speaker) General Manager, CRRC Zhuzhou Institute
  • Sigang He (Speaker) Europe Chief Adviser, CRRC Zhuzhou Institute

Description

This track addresses the current challenges that arise at the interface between Big Data and autonomous systems for industry and the development of autonomous systems. Especially the interface between data infrastructures, data access and data sharing on the one hand and autonomous systems or robots on the other:
  • What are the biggest challenges in terms of Big Data and robotics (e.g. real-time data streams and latency)?
  • Which data infrastructures are needed to support the development of interactive, context aware, adjustable, learning autonomous systems?
  • How can improve access to data to advance the development of autonomous systems?
  • Do we need more cooperation regarding large amounts of data for autonomous systems and how can we foster cooperation?
In order to meet these challenges, questions arise regarding options for action and the development of strategies:
  • How can research and development help the industry?
  • How can a European way be developed to strengthen AI and autonomous systems and strengthen Europe's position in international competition?
  • Which industrial strategy is necessary for Europe and what could it look like?
To discuss these challenges and issues, the track will bring together industry representatives from the US, China and the EU and robotics researchers.

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