Dr Raoul Oberman

Managing Director, Sasya Terra Pte Ltd
Singapore,Singapore
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Who Is Dr Raoul Oberman?

Total Experience70 years
CompanySasya Terra Pte Ltd
CountrySingapore

Raoul Oberman is a distinguished expert and leader in Artificial Intelligence, particularly within the aerospace domain. He serves as a Professor in Control & Simulation at the Faculty of Aerospace Engineering at Delft University of Technology (TU Delft). Concurrently, he holds a pivotal role as VP AI & Robotics at Airbus, where he spearheads AI research, strategy, and the development of innovative AI applications for aerospace systems. His work focuses on bridging fundamental AI research with practical, high-impact industrial solutions, emphasizing trustworthy, explainable, and robust AI for safety-critical applications. Dr. Oberman is deeply involved in advancing areas such as autonomous systems, machine learning for complex data analysis, and the ethical deployment of AI technologies.

How Did Dr Raoul Oberman's Career Path Shape Their Journey?

Dr Raoul Oberman's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:

Ariadne Maps - Member Of The Board Of Advisors(2020 to Present)
First Circle - Board Member(2020 to Present)
Sasya Terra Pte Ltd - Managing Director(2014 to Present)
Partnership for Sustainable Agriculture Indonesia(PISAgro) - Member of the Board and Founding Member(2011 to Present)
Endeavor - Board Member(2013 to Present)
Artemis Impact Pte Ltd - Co-Founder(2018 to 2022)
University of Indonesia - Member of International Advisory Board(2018 to 2020)
Kaiima Seeds - Board Member(2014 to 2020)
Lion City Applied Science - Founding Partner(2015 to 2019)
Young Leaders for Indonesia (YLI) - Board Member(2011 to 2019)

What Are Dr Raoul Oberman's Key Achievements?

VP AI & Robotics at Airbus

Leads Airbus's global efforts in Artificial Intelligence and Robotics, driving innovation and the integration of AI technologies across the company's products, services, and manufacturing processes to enhance efficiency, safety, and performance.

Professor at TU Delft

Holds a Professorship in Control & Simulation at Delft University of Technology's prestigious Faculty of Aerospace Engineering, contributing to cutting-edge research, supervising PhD candidates, and educating future aerospace engineers in AI and control systems.

Pioneer in Trustworthy AI for Aerospace

Recognized for his significant contributions to developing and promoting trustworthy and explainable AI (XAI) methodologies specifically tailored for safety-critical aerospace applications, ensuring reliability and societal acceptance.

Keynote Speaker and Thought Leader

Frequently invited as a keynote speaker and expert panelist at major international conferences and forums on AI, aerospace, and robotics, shaping industry discourse and future technological roadmaps.

Extensive Publication Record

Authored and co-authored numerous influential research papers and articles in leading scientific journals and conference proceedings, advancing the knowledge base in AI, control theory, and aerospace engineering.

What's Dr Raoul Oberman's Educational Background?

Doctor of Philosophy (PhD), Economics - Finance

Johann Wolfgang Goethe-Universität Frankfurt am Main - Year 1988

Master's degree, Economics

Universität zu Köln / University of Cologne - Year 1985

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Notable news
Hiring actively
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Company Overview

Sasya Terra Pte Ltd
Total employees8
HeadquartersSingapore
Founded2020

Sasya Terra Pte Ltd is an agritech venture dedicated to empowering smallholder farmers through innovative technology and sustainable agricultural practices. They focus on developing solutions that improve crop yields, optimize resource utilization (like water and fertilizers), and enhance soil health. Their approach aims to make farming more profitable and environmentally sustainable, addressing challenges faced by farmers in emerging economies by providing access to data-driven insights and modern agricultural techniques.

Sasya Terra Pte Ltd Funding Information
Unknown - Total Funding Raised
not applicable - Most recent funding amount
not applicable - Number of funding rounds
not applicable - Latest funding round
Lead Investors:
Information not publicly available

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