Data science, and machine learning in particular, is rapidly transforming the scientific and
industrial landscapes. The aerospace industry is poised to capitalize on big data and …

This review covers the new developments in machine learning (ML) that are impacting the
multi-disciplinary area of aerospace engineering, including fundamental fluid dynamics …

The modern aircraft has evolved to become an important part of our society. Its design is
multidisciplinary in nature and is characterized by complex analyses of mutually …

In recent decades, deep learning (DL) has become a rapidly growing research direction,
redefining the state-of-the-art performances in a wide range of techniques, such as object …

In order to survive the present and future economic and environmental challenges facing air
transportation, aviation design may neet to expand its focus beyond today's conventional …

I started working on fitness approximation in evolutionary optimization when I moved back to
Germany from the USA in 1999 to take up a research scientist position at the Honda …

View Video Presentation: https://doi. org/10.2514/6.2022-3899. vid From aircraft design to
certification a huge amount of aerodynamic data is needed for the entire flight envelope …

Since the 1960s, the demand for air transportation has doubled every 15 years, resilient to
every oil crises and international events. However, the current capability of the air transport …

Over the last fifty years, the ability to carry out analysis as a precursor to decision making in
engineering design has increased dramatically. In particular, the advent of modern …

Adjoint-based optimization methods are attractive for aerodynamic shape design primarily
due to their computational costs being independent of the dimensionality of the input space …