Awards and Recognitions during IAUS 340

IAGA Young scientist award for Best Presentation:

The award is given by Journal of Astrophysics and Astronomy (JAA) jointly published by the Astronomical Society of India, Indian Academy of Sciences and Springer.
Nomination for IAGA Young Scientist Award
Sushant Mahajan

More Information for such a nomination can be found on:

Best Poster Awards during IAUS 340

Best Poster Awards during IAUS 340 were awarded to following participants. Springer ponsored 8 best poster prizes (one for each session) in the form of e-Book coupons worth 150 Euros each. The recipients can use this to buy any e-Book(s) from the Springer website:

Session I: Velocity Fields in the Convection Zone

Vincent Boning for the poster titled Inversions for the deep solar meridional flow and the associated error analysis

Session II: Solar & Stellar Cycles

Sudip Mandal for the poster titled Science results obtained from century - long Kodaikanal white - light digitized data archive

Session III: Indices of Solar Cycle from Photosphere to the Heliosphere

Rakesh Mazumder for the poster titled Filament, Polarity Inversion Line & Coronal Hole properties in solar cycle 23 from McIntosh database

Session IV: Total Solar Irradiance (TSI) and Spectral Solar Irradiance (SSI)

Yamini K. Rao for the poster titled Multi - line Spectroscopic analyses of the dynamical cool loops using interface region imaging spectrometer (IRIS) observations

Session V: Solar - Stellar Connection

Shashanka R Gurumath for the poster titled Influence of planets on the magnetic activity of sun like stars

Session VI: Solar Behavior over Centuries

Jayalekshmi G. L. for the poster titled Distribution of hemispheric solar activity during various phases of solar cycles

Session VII: Solar Stellar Dynamo

Mariangela Viviani for the poster titled Solar - like stars at various rotation rates: a comparison between observational and simulations

Session VIII: Predictions and Predictability of Solar Cycle

Dattaraj Dhuri for the poster titled Prediction of solar flares from photospheric magnetic field using machine learning