Anand Asundi
d'Optron Pte Ltd, Nanyang Technological University, Stony Brook University, University of Hongkong
About
Anand Asundi is currently retired but provides consulting services as needed. In his last position he was CEO and Founding Director of d'Optron Pte Ltd., a spin-off of his research in the field of 3D imaging, measurement and inspection. Prior to this he was a Professor and founding Director of the Centre for Optical and Laser Engineering (COLE) at the Nanyang Technological University from 1996-2019. He was also Prof. of Mechanical Engineering at the University of Hong Kong from 1983 to 1996. He graduated with a B.Tech and M.Tech from the Indian Institute of Technology, Bombay and then got his PhD from the State University of New York at Stony Brook.
He was founding chairman of the Optics and Photonics Society of Singapore and initiated the icOPEN conference series. He is a fellow of SPIE and was on their Board of Directors for 2 years. He is also a Knight of Holography. He is the 2024 recipient of the SPIE Chandra S Vikram Award for Optical Metrology
Employment
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d'Optron Pte Ltd CEO and Director2015 - 2025
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Nanyang Technological University Professor and Director COLE1996 - 2020
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University of Hongkong Professor1983 - 1996
Education
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Stony Brook University PhD1977 - 1981
Projects & Funding
Projects & funding information is unavailable.
Publications (600)
- 3D Quantitative Phase Imaging of Human Red Blood Cells Save
- Emerging tunable window technologies for active transparency tuning Save
- Measurement of acylindrical surface with transport of intensity equation Save
- Phase retrieval of two random phase-shifting interferograms using Zernike coefficient extraction network Save
- Virtual temporal phase-shifting phase extraction using generative adversarial networks Save
- Dielectric Elastomer Actuator-Based Multifunctional Smart Window for Transparency Tuning and Noise Absorption Save
- Wide-field high-resolution 3D microscopy with Fourier ptychographic diffraction tomography Save
- Wrapped phase denoising using convolutional neural networks Save
- Experimental characterization of laser trepanning performance enhanced by water-based ultrasonic assistance Save
- Investigation of the systematic axial measurement error caused by the space variance effect in digital holography Save