› Study of the spatially resolved stellar mass buildup and quenching in massive disk galaxies over the last 10 Gyrs using spatially resolved SED fitting - Abdurrouf Abdurrouf, Tohoku University/ASIAA
09:25-09:45 (20min)
› Probing star formation quenching in galaxies with resolved optical and radio data - Lihwai Lin, Academia Sinica Institute of Astronomy and Astrophysics
09:45-10:05 (20min)
› Exploring the Star Formation Histories of Galaxies in Different Environments from MaNGA Spectra - Maria Argudo Fernandez, Center of Astronomy of the University of Antofagasta
10:05-10:25 (20min)
› High-resolution, 3D radiative transfer modeling of barred galaxies - Angelos Nersesian, Ghent University, IAASARS, National Observatory of Athens
10:25-10:45 (20min)
› Which dust attenuation law(s) for star forming galaxies? - Veronique Buat, Laboratoire dÁstrophysique de Marseille
11:35-11:55 (20min)
› Dust attenuation on and off the galaxy Main Sequence at z>1 - Annagrazia Puglisi, CEA-Saclay
11:55-12:15 (20min)
› Spatially resolved dust-to-gas mass ratio in nearby galaxies - Basilio Solis-Castillo, Max Planck Institute for Radio Astronomy, University of Bonn
12:15-12:35 (20min)
› A MUSE multi-wavelength analysis of the Abell 2667 BCG - Edoardo Iani, University of Padova
12:35-12:55 (20min)
Pushing the technical frontier: from overwhelming large datasets to machine learning
Katarzyna Malek
› Pushing the technical frontier from large datasets to machine learning - Viviana Acquaviva, New York City College of Technology
14:30-15:10 (40min)
› Modeling with the Crowd: Optimizing the Human-Machine Partnership with Zooniverse - Hugh Dickinson, University of Minnesota - Twin Cities
15:10-15:30 (20min)
› Deep Learning for Galaxy Mergers in the Galaxy Main Sequence - William Pearson, Kapteyn Astronomical Institute, SRON Netherlands Institute for Space Research
15:30-15:50 (20min)
Pushing the technical frontier: from overwhelming large datasets to machine learning
Maarten Baes
› Automatic classification of sources in large astronomical catalogues - Agnieszka Pollo, National Centre for Nuclear Research AND Jagiellonian University
16:40-17:00 (20min)
› The infrared emission of galaxies via machine learning techniques - Wouter Dobbels, Ghent University
17:00-17:20 (20min)
› Modelling the Structure of GAMA Galaxies with PROFIT - Amanda Moffett, Vanderbilt University
17:20-17:40 (20min)
› Spatially-Resolved Stellar Populations and Star-Formation Histories with Pixel Color-Magnitude Diagrams - Ben Cook, Harvard-Smithsonian Center for Astrophysics
17:40-18:00 (20min)
› Spatially-resolved Stellar Population Structure of Nearby Galaxies and Real-time Analysis of Multi-wavelength Pixel-SEDs - Chang Hee Ree, Korea Astronomy and Space Science Institute
18:00-18:20 (20min)