Timothé Krauth

Dr. Timothé Krauth is a researcher at Zurich University of Applied Sciences (ZHAW) School of Engineering within the Aviation Infrastructure department. Holding a Ph.D. in Applied Mathematics from ISAE-Supaero (2021-2024), his work focuses on applying machine learning techniques to air traffic management challenges. He actively contributes to research projects like "Achieving Human-Machine Collaboration with Artificial Situational Awareness" and "Making I-CNS A Reality" for integrated aviation systems.

• Ph.D. in Applied Mathematics, ISAE-Supaero (2021-2024)

His research interests center on aerospace engineering and artificial intelligence, specializing in trajectory modeling, collision risk estimation, and uncertainty quantification in air traffic systems. He has developed deep learning frameworks for flight path analysis and safety prediction.

Krauth's publications demonstrate expertise in:

• Collision risk modeling using variational autoencoders
• Deep generative modeling for aviation safety
• Large-scale trajectory dataset creation
• Adaptive importance sampling techniques
• Mid-air collision probability assessment
• Terminal area traffic management

As a team member in ongoing projects, he applies these methods to create safer and more efficient aviation systems through integrated communication, navigation, and surveillance technologies.