AI meets MBSE: Driving the Future of Systems Engineering in Transportation!


Join us for an enlightening webinar that delves into the cutting-edge integration of Artificial Intelligence (AI) in Model-Based Systems Engineering (MBSE), focusing on the transportation sector. Our expert speakers will guide you through the dynamic landscape of AI4MBSE, illustrating its transformative impact and practical applications.

Keylearnings will be:

  • AI4MBSE in Transportation: Delve into real-world benefits and applications that are setting new industry standards.
  • Exploring the AI4MBSE toolchain: Discover the transformative potential of AI4MBSE in revolutionizing traditional Requirements Engineering protocols, and learn about the core technology of the task-agnostic AI that underpins these changes, enabling scalable and robust transformations.
  • Current Challenges: Engage in thought-provoking discussions about the hurdles in the path of innovation and how we can collectively address them. 
  • Future Outlook: Gaze into what the future holds where AI synergizes with Requirements Engineering to create seamless, efficient, and advanced transportation systems.

Donโ€™t miss this chance to be at the forefront of AI integration in Systems Engineering. Register now for our exclusive webinar recording "AI meets MBSE: Driving the Future of Systems Engineering in Transportation!" and be part of the future of MBSE.


Speaker Giancarlo Cecchettini

Ario Giancarlo Cecchettinic
Ario Giancarlo Cecchettini is a machine learning engineer at itemis AG for two years, focusing on developing AI solutions for natural language tasks related to MBSE such as requirements engineering, while also pushing the development of the ML platform at itemis. Driven by a passion for languages and tech, he acquired a degree in computational linguistics at the Ludwig-Maximilians-University of Munich, an interdisciplinary field concerned with the computational modelling of natural language involving deep learning, natural language processing, semantic search, information extraction & retrieval, translation & generative AI. Using that knowledge, he has contributed to developing the AI4MBSE toolchain from the ground up.

Sruthi Radhakrishnan

Sruthi Radhakrishnan
Sruthi Radhakrishnan is an AI consultant at itemis. She is currently working on projects that have a major focus on AI/ML for Systems Engineering in different domains. She acquired her bachelor's in computer science from India and her Masterโ€™s from the University of Stuttgart in Information technology. During that time she worked on ML-based use cases in domains such as manufacturing, and retail and contributed to research projects at the university. Her interests revolve around Knowledge graph analytics, Data engineering, and several other aspects of Machine Learning.

Webinar_AI meets MBSE_Anne_Vogel

Anne Vogel
Anne Vogel is Key Account Manager and Transportation Industry Lead at itemis. She supports and consults customers in the wide-ranging software development portfolio of itemis. She is passionate about the future of mobility and wants to drive digitalization in the transport and mobility industry through fast, secure, efficient and scalable software systems.

AI meets MBSE: Driving the Future of Systems Engineering in Transportation!

Register To Watch Now