Prof. Nenes is Fellow of the American Assoc. for Aerosol Research

Le professeur Athanasios Nenes has been working at EPFL since 2018. © Alain Herzog / EPFL

Le professeur Athanasios Nenes has been working at EPFL since 2018. © Alain Herzog / EPFL

EPFL Professor Athanasios Nenes has been elected Fellow of the American Association for Aerosol Research.

The American Association for Aerosol Research (AAAR) is a nonprofit professional organization for scientists and engineers who wish to promote and communicate technical advances in the field of aerosol research. The Association heads the professional journal, Aerosol Science and Technology (AS&T), and its annual conference is one of the most widely attended and recognized in the field.

Since 2008, the AAAR established a category of Fellow to honor significant contributions by individuals to the discipline of aerosol science and technology. This year, the AAAR has elected into its Fellows EPFL Professor Athanasios Nenes, who heads the Laboratory of atmospheric processes and their impacts (LAPI) since 2018 and is a co-founding member of the Center for Air Quality Studies and Climate Change at the Institute of Chemical Engineering Sciences of the Foundation of Research and Technology-Hellas in Greece. “I basically “grew up” in that community, so being placed on a list that includes the giants that we all learned from in my field is just a great honor”, explains Professor Nenes.

Prolific researcher

The AAAR highlighted that Professor Nenes is a “prolific researcher, with more than 315 published papers, cited more than 25’000 times; an inspiring mentor, who has directly guided 20 PhD students as well as 20 post-doctoral scholars… an internationally established leader in aerosols impacts on cloud formation, air quality, and climate; with patents of transformative aerosol instrumentation; theoretical and modelling work that has generated open-codes routinely used worldwide for regulatory purposes and climate modelling; and with extensive measurement and analysis of field data relationships to more accurately describe cloud droplet formation in climate models”.