Dr. Dhruvam Pandey

Pandey D , Saini A, Gannavarpu R. Non-contact automated defect detection using a deep learning approach in diffraction phase microscopy Opt. Continuum 2, 2421-2435 (2023)

Narayan SK, Pandey D , Vithin AV, Gannavarpu R. Robust method to process non-uniform intensity holograms in digital holographic microscopy for nanoscale surface metrology Appl. Opt. 62, 8497-8505 (2023)

Pandey D, Gannavarpu R. Nanoscale surface profile measurement using state space approach in digital holographic microscopy. Surface Topography: Metrology and Properties. 2023 Apr 17.

Pandey D, Ramaiah J, S. Ajithaprasad, Gannavarpu R. Subspace analysis based machine learning method for automated defect detection from fringe patterns. Optik - International Journal for Light and Electron Optics (2022).

Pandey D, Ramaiah J, Gannavarpu R. Fast measurement of phase and its derivatives in digital holographic interferometry using graphics processing unit assisted state space method. Optik. 2021 Oct 21:168172.

Pandey D, SK Narayan, Gannavarpu R. Deep learning-based automated defect detection in digital holographic microscopy Optical Sensors (pp. JF2A-4). Optica Publishing Group.

Narayan SK, Pandey D, Gannavarpu R. Non-destructive surface defect metrology using deep learning and diffraction phase microscopy Computational Optical Sensing and Imaging (pp. CTh4B-7). Optica Publishing Group.

Pandey D, Ram VS, Gannavarpu R. Neural network based subspace analysis for estimation of phase derivatives from noisy interferograms Digital Holography and Three-Dimensional Imaging (pp. M2A-2). Optica Publishing Group.

Pandey D, Subrahmanya K. N, Gannavarpu R. Nanoscale surface topography using low-cost digital holographic microscopy Proc. SPIE 12618, Optical Measurement Systems for Industrial Inspection XIII, 126180Z (15 August 2023)

Pandey D, Gannavarpu R. Fringe pattern defect identification using Kalman filter and machine learning. Digital Holography and 3-D Imaging 2022.

A. V. S. Vithin, J. Ramaiah, Pandey D, Gannavarpu R. Displacement derivative analysis using deep learning in digital holographic interferometry. Digital Holography and 3-D Imaging 2022