معرفی
Sarat Moka is a Lecturer in the School of Mathematics & Statistics at The University of New South Wales and holds an Honorary Lecturer position at Macquarie University. His research spans Probability Theory, Data Science, Statistics, Deep Learning, and Monte Carlo Simulation.
- Education: PhD (Tata Institute of Fundamental Research, 2017), Master of Engineering (Indian Institute of Science, 2008), Bachelor of Engineering (Andhra University, 2006)
- Previous Roles: Research Fellow at Macquarie University (2021–2023), ACEMS Postdoctoral Research Fellow at The University of Queensland (2017–2021), Scientist at Indian Space Research Organization (2008–2010)
His research integrates theoretical and applied approaches, focusing on rare event simulation, optimization algorithms, and statistical modeling. Recent publications emphasize continuous optimization for machine learning tasks (e.g., best subset selection, change point detection) and Monte Carlo methods.
Scientific awards include the prestigious ACEMS Postdoctoral Research Fellowship. His collaborative work involves institutions like UNSW, Macquarie University, and The University of Queensland.
