THE STEPHEN B. KLEIN FACULTY OF |AEROSPACE ENGINEERING
About the |Faculty
The Stephen B. Klein Faculty of Aerospace Engineering at the Technion is a world-class academic hub for aeronautics and astronautics, dedicated to creating, expanding, and disseminating ideas and knowledge in aerospace sciences and engineering.
BE PART OF THE |AEROSPACE FUTURE
News
12.08.2026
Technion Establishes New International Prize for Transformative Innovation in Aerospace
The Max and Desiree Blankfeld Endowed Prize for Transformative Innovation in Aerospace, made possible through a generous gift from Max and Desiree Blankfeld of Houston, Texas.
11.08.2026
Congratulations! Prof. Moshe Idan Promoted to Full Professor
Professor Idan is an internationally recognized researcher whose work has made significant contributions in the areas of estimation theory, flight control systems, and air traffic management.
08.02.2026
Professor Eli Livne Awarded the 2026 Hanin International Prize
The late Prof. Meir Hanin International Prize is awarded every two years for significant scientific and/or technological achievements in aerospace sciences.
Events
The event includes wind tunnel demonstrations, lectures, and lunch.
Participation is free of charge, but prior registration is required.
Seminars
Omer Wexler | Air-breathing hypersonic vehicles (AHVs) have the potential to revolutionize space access and high-speed global transportation. These vehicles can cruise at Mach 5 and above, making them highly attractive for many time-critical applications. Furthermore, by using atmospheric oxygen, they eliminate the need to carry oxidizers. Consequently, AHVs offer increased payload capacities, reusability, and reduced construction and operational costs.
Yishai Glam | The aeroelastic stability and dynamic response of thin panels are important considerations in aerospace structures design. Traditional nonlinear Rayleigh-Ritz (RR) analysis struggles when applied to panels with nonuniform boundary conditions (BCs) or local constraints. Generating the necessary global basis functions is difficult, often leading to slow convergence and requiring many modes.
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