Conferences
Some glimpses of the past conferences
Some glimpses of the past conferences
October 2024
14th Serbian Conference on Spectral Line Shapes in Astrophysics
Bajina Bašta, Serbia, June 19 - 23, 2023
Galaxy in absorption, IUCAA, India, 2017
Massive black holes in evolving galaxies: from quasars to quiescence, IAP, Paris, 2018
ASI, IIT Roorkee, India, 2022
Astrostatistics Course, IUCAA, Pune
2-10 January 2017
Spectroscopy school, IUCAA, Pune
2017
University of Delhi
2015
Invited talks
July-2025: Machine Learning in the Age of Astrophysical Big Data at ESO Santiago.
October-2024: FLAMES: Fitting Lyα Absorption lines using Machine Learning at the Astronomical Observatory, Poland.
October-2023: Convolutional neural network to characterize the Voigt profile of the Lyman-alpha forest absorbers at the Thüringer Landessternwarte (TLS) colloquium, Germany.
March-2023: Convolution neural network to characterize the Voigt profile of the Lyman-alpha forest absorbers at ASI-2023, India.
June-2022: Convolution neural network to characterize the Voigt profile of the Lyman-alpha forest absorbers at the NARIT, Thailand.
March-2020: Proximity effect at the Max Planck Institute for Gravitational Physics (Albert Einstein Institute), Hannover, Germany.
Contributed conferences talk
June-2025: Enhancing Photometric Redshift Catalogs Through Color-Space Analysis: Application to KiDS-Bright Galaxies at IAUS 397: UniversAI: Exploring the Universe with Artificial Intelligence, Athens, Greece.
March-2025: Enhancing Photometric Redshift Catalogs Through Color-Space Analysis: Application to KiDS-Bright Galaxies at ESLAB Euclid symposium 2025 (attended online).
August-2024: FLAMES: Fitting Lyα Absorption line using Machine learning at IAU General Assembly 2024 (attended online).
October-2023: Completeness of KiDS bright sample photo-z training dataset using self-organizing maps at LSST@Poland, 2023.
June-2023: Convolution neural network to characterize the Voigt profile of the Lyman-alpha forest absorbers at 14th SCSLSA, Serbia.
April-2023: Completeness of KiDS bright sample photo-z training dataset using self-organizing maps at University College London Observatory (UCLO), London, UK.
March-2023: Discovery of lensed quasars using multiply imaged quasar candidates at BINA-2023, India.
April-2019: Probing the environment of high-z quasars using the proximity effect in projected quasar pairs, during the RETCO meeting at Inter-University Centre for Astronomy and Astrophysics (IUCAA), India.
September-2017: Longitudinal and transverse proximity effect during the Young Astronomical Meet 2017 at IUCAA, India.
January-2017: Longitudinal and transverse proximity effect in Astrostatistics Course at IUCAA, India.
January-2017: Search for Metals in the z~3 intergalactic medium using high signal-to-noise UVES quasar spectrum during Optical astronomy using large telescopes at IUCAA, India.
December-2017: Longitudinal and transverse proximity effect during the international conference Galaxies in absorption at IUCAA, India.
Selected Colloquia, Seminars, and Other Talks
Attended and was one of the panelists at the panel discussion Cosmoverse@Naples, 2025.
October-2024: Attended LSST@Poland, 2024.
March-2021: Lecture about Cosmological distances and the expansion of the Universe at Aryabhatta Research Institute of Observational Sciences (ARIES), India.
August-2020: Lecture about Gravitationally lensed quasars at ARIES, India.
August-2018: Talked about Probing the physical state of the IGM: Tool of cosmology at the University of Delhi, India.
July-2017: Lecture about Active Galactic Nuclei and their spectra at ARIES, India.
2016-2020: Annual review talk on the progress of PhD work at ARIES, India.
July-2015: Presented my master's dissertation talk on Parametrization of equation of state of Dark energy at the University of Delhi, India.
Posters
June-2025: FLAMES: Fitting Ly Absorption line using Machine learning at IAUS 397: UniversAI: Exploring the Universe with Artificial Intelligence, Athens, Greece.
July-2023: EAS 2023, Krakow on Completeness of KiDS bright sample photo-z’s training dataset using self-organizing maps and Convolution neural network to characterize the Voigt profile of the Lyman-alpha forest absorbers.
September-2022: 2nd Roman Juszkiewicz Symposium, Poland on Machine learning.
March-2022: Convolution neural network to characterize the Voigt profile of the Lyman-alpha forest absorbers at at Astronomical Society of India.
September-2021: Spatially Resolved Spectroscopy with ELTs (attended online) on Proximity effect.
September-2019: Young Astronomical meet-2019, India, on Constraining the halo mass of high-z quasars using the longitudinal proximity effect.
June-2018: Poster and flash talk at the international conference at Institut d’astrophysique de Paris (IAP), Paris on Massive black holes in evolving galaxies.
November-2016: First Belgo-Indian Network for Astronomy & Astrophysics (BINA) workshop, held in Nainital (India).
Schools and workshops
July-2023: Attended and completed a hands-on session at the PRECISE (PREcision Cosmology In the era of big-data SurvEys), Warsaw, Poland.
October-2020: Successfully completed a workshop on Introduction to Optical and Infrared Interferometry organized by the Inter-University Centre for Astronomy and Astrophysics (IUCAA).
September-2017: Attended Radio Astronomy School.
August-2017: Attended workshop ASSC-sponsored AstroSat Data Analysis Workshop at ARIES, India.
January-2017: Attended Astrostatistics Course at IUCAA, India.
January-2017: Attended the training school on Optical astronomy using large telescopes at IUCAA, India.
Gaia GraL: Gaia DR2 Gravitational Lens Systems. VI.Spectroscopic Confirmation and Modeling of Quadruply-Imaged Lensed Quasars