Dr. Aditi Agarwal did her PhD from Aryabhatta Research Institute of Observational Sciences (ARIES), Nainital. After that, Dr. Agarwal received National Postdoctoral Fellowship (NPDF) from SERB-DST to carry her post-doctorate from the Indian Institute of Astrophysics, Bengaluru. Later, she continued her research as a research associate at Raman Research Institute, Bengaluru. The main focus of her research is on active galactic nuclei (AGNs), such as quasars, blazars, and radio galaxies. She has contributed to the understanding of what is happening in these extraordinarily powerful centers of galaxies and in the relativistic jets, using analytical, observational, and computational techniques. She has also studied the frequency-dependent core shifts and parameter estimation for blazars using radio observations to have a better understanding of targets such as the dynamical evolution, the inner sub-parsec structure, dominant radiation mechanisms, and location multi-frequency emissions. She has significant experience in optical and near-IR photometry, spectroscopy, optical polarimetric observations, radio observations, data reduction, and analysis. Recently, she has started working towards the application of machine learning algorithms in Astronomy and Astrophysics.
Aditi Agarwal
Assistant Professor
- PhD: Aryabhatta Research Institute of Observational Sciences (ARIES), Nainital, India
- M.Sc: University of Delhi, Delhi, India, 2011
- B.Sc.: Physics (H), Hansraj College, University of Delhi, Delhi, India, 2009.
Email: aditiagarwal.phy@gmail.com
Mobile No: +91 7259671750
- EXPERIENCE:
- Research Associate (Postdoctoral Fellow) at Raman Research Institute, Bangalore, India, September 2019 -- March 2023
- Visiting Scientist at Indian Institute of Astrophysics (IIA), Bangalore, India, June 2019 -- September 2019
- Postdoctorate holding National Post Doctoral Fellowship (NPDF) at Indian Institute of Astrophysics (IIA), Bangalore, India, 2017 -- June 2019
- Research Interest:
- Multi-wavelength flux and spectral variability of Blazars on diverse timescales.
- Quasi-Periodic
Oscillations (QPOs) in various classes of AGNs on diverse
timescales.
Multi-wavelength variability of various classes of luminous AGNs. - Black hole mass and spin in the transient Universe.
- Ultra High Energy Cosmic Ray (UHECR) emitting AGNs.
- Application of machine learning to Astronomy.
- CV: View