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Physics informed machine learning for biological behavior @ MaLGa
ORCID iD iconhttps://malga.unige.it/research/pimlb


ORCID Profile:
ORCID iD iconhttps://orcid.org/0000-0001-5633-8180


Scholar Profile:
ORCID iD iconhttps://scholar.google.com/citations?user=OKTmpMQAAAAJ&hl=en


Agnese Seminara

Figura 1

Full Professor of Fluid Dynamics
SSD ING-IND/06

Dept. of Civil, Chemical and Environmental Engineering (DICCA)
Via Montallegro 1, 16145
GENOVA - ITALY

Tel: +39 010 335 2434
Tweet @AgneseSeminara
agnese dot seminara at unige dot it







We are hiring ! We seek to grow into a diverse and collaborative group of motivated, creative students and postdocs. We work on a variety of problems in biological behavior modeled through the lens of fluid dynamics and machine learning. Theorists, numericists, and experimentalists all welcome! Email Agnese to know more



NEWS:

Read about our work on sea anemones

Read about our work on sea anemone (by S Quaglia)
Read about our research (by A Colaianni)



Read about us (regional TV broadcast, V Gregori)


Watch interview at TG Regionale (by V Gregori)
Read about our work on navigation (press release)

Nicola defended his PhD, congratulations!!


Agnese was awarded an ERC Consolidator!
Abstract and facts about RIDING: Physics informed algorithms for sensing and navigating turbulent environments



DICCA - Dipartimento di Ingegneria Civile, Chimica e Ambientale
Via Montallegro, 1 - 16145 Genova
fax +39 010 335.25.46
Partita IVA 00754150100