Elias Zea
Assistant Professor
KTH Royal Institute of Technology
Elias Zea is an Assistant Professor of Engineering Acoustics at KTH’s Marcus Wallenberg Laboratory for Sound and Vibration Research (MWL) in Stockholm, Sweden. He holds a PhD in Vehicle Engineering from KTH (2017) and has previously held a postdoc position (2018–2019) and a research associate position (2020–2023) at MWL. His primary research interests lie at the intersection of engineering mechanics and applied mathematics, particularly in developing efficient models and measurement techniques for vibroacoustic problems using harmonic analysis, machine learning, and sparse sampling methods. He is the principal investigator of an international collaboration project on acoustic scattering funded by the Swedish Research Council. Additionally, he is part of research projects on the aeroacoustics of electric fans (eFan) and multi-objective trajectory optimization in sustainable aviation (REFMAP and ECONTRAIL). He is also interested in enhancing human-machine interaction in scientific and academic workflows with natural language processing. Dr. Zea is a reviewer for several international magazines, including the Journal of the Acoustical Society of America, the Journal of Sound and Vibration, Mechanical Systems and Signal Processing, IEEE Signal Processing Letters, and the EURASIP Journal on Audio, Speech, and Music Processing. Dr. Zea is a member of the European Acoustics Association’s Technical Committees on Computational Acoustics and Signal Processing and is currently a Guest Editor in the Journal of Theoretical and Computational Acoustics on the Special Issue “Data-driven Methods and Applications of Artificial Intelligence in Vibroacoustics.” He has been a lecturer on mathematical acoustics at ASSA 2022 and on machine-learning techniques at ASSA 2024.