Research & Work

My research interests are in all fields of astronomy involving machine learning and statistical data analysis. I have been working on a variety of projects such as machine learning classification for QSOs and periodic variables, Bayesian data analysis, QSO variability studies, etc. Details of each work are given in the following links, in three different categories.

[ Categorized by Topics ]

• Gaia
• QSOs
• Variable Stars
  • UPSILoN - Automated Classification of Periodic Variable Stars Using Machine Learning
  • EPOCH: EROS-2 Periodic Variable Classification Using Variability
  • Delta (δ) Scuti Stars
• Occultations
  • TAOS I
  • TAOS II
• Others
  • Removing Trends in Light Curves
  • TDSS + Pan-STARRS
  • Streak Detections for High Velocity Objects
    • ASTRiDE - Automated Streak Detection for Astronomical Images
  • Flare Stars

[ Categorized by Methods ]

• Machine Learning
  • QSO Classification Using Variability
  • Refined QSO Classification
  • UPSILoN - Automated Classification of Periodic Variable Stars Using Machine Learning
  • EPOCH: EROS-2 Periodic Variable Classification Using Variability
  • Source Classification Using Gaia Spectrum
  • Removing Trends in Light Curves
• Bayesian
  • QSO Variability Modeling
  • Parameter Estimations using Gaia colors
• Others
  • QSO Target Selection Using Variability - TDSS + Pan-STARRS
  • Fast Fourier Transform - Delta (δ) Scuti Stars
  • Border Tracing - Streak Detections for High Velocity Objects
    • ASTRiDE - Automated Streak Detection for Astronomical Images
  • KBO Occultation Candidates
  • Flare Stars

[ Categorized by Surveys ]

• Gaia
• MACHO
  • QSO Classification Using Variability
  • Refined QSO Classification
• EROS
• OGLE + EROS + MACHO + LINEAR + ASAS + Hipparcos
• SDSS Stripe 82
• TAOS I
• TAOS II
• TDSS + Pan-STARRS
• YSTAR