Academic Profile : No longer with NTU
Assoc Prof Pina Marziliano
Associate Professor, School of Electrical & Electronic Engineering
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Pina Marziliano obtained a B.Sc. Applied Mathematics in 1994 and the M.Sc. Computer Science (Operations Research) in 1997, both, from the Université de Montréal, Canada. In 2001 she completed her Ph.D degree in Communication Systems from the Swiss Federal Institute of Technology in Lausanne (EPFL), Switzerland. She then joined a start-up company, Genimedia SA in Lausanne, Switzerland and developed perceptual quality metrics for multimedia applications. In 2003, she became an Assistant Professor in the School of Electrical and Electronic Engineering at the Nanyang Technological University in Singapore, and was tenured and promoted to Associate Professor in August 2012. In October 2012, she co-founded PABensen Pte. Ltd. Where Art and Science Design (www.pabensen.com) .
In 2007, she received the 2006 Best Paper Award from the IEEE Signal Processing Society Awards Board for the paper “Sampling Signals with Finite Rate of Innovation” co-authored with Prof. M. Vetterli and Dr. T. Blu which appeared in IEEE Trans. Signal Processing, Vol. 50, June 2002. A patent for her work related to sampling was granted in May 2006 and then acquired by Qualcomm Inc. USA in December 2007.
She has been an Associate Editor for IEEE Signal Processing Letters and IEEE Transactions on Signal Processing since January 2010 and February 2013, respectively. She is also a Member of the IEEE Signal Processing Society Signal Processing Theory and Methods Technical Committee since January 2012 and has served on the Technical Program Committee of numerous international conferences.
She currently teaches undergraduate and graduate courses in Digital Signal Processing and her research interests include sampling theory and applications in communications and biomedical engineering, information security and perceptual quality metrics for multimedia.
In 2007, she received the 2006 Best Paper Award from the IEEE Signal Processing Society Awards Board for the paper “Sampling Signals with Finite Rate of Innovation” co-authored with Prof. M. Vetterli and Dr. T. Blu which appeared in IEEE Trans. Signal Processing, Vol. 50, June 2002. A patent for her work related to sampling was granted in May 2006 and then acquired by Qualcomm Inc. USA in December 2007.
She has been an Associate Editor for IEEE Signal Processing Letters and IEEE Transactions on Signal Processing since January 2010 and February 2013, respectively. She is also a Member of the IEEE Signal Processing Society Signal Processing Theory and Methods Technical Committee since January 2012 and has served on the Technical Program Committee of numerous international conferences.
She currently teaches undergraduate and graduate courses in Digital Signal Processing and her research interests include sampling theory and applications in communications and biomedical engineering, information security and perceptual quality metrics for multimedia.
- Digital signal and image processing
- Sampling theory and applications
- Biomedical signal and image processing
- Watermarking and information security
- Perceptual quality metrics for multimedia
- Sampling theory and applications
- Biomedical signal and image processing
- Watermarking and information security
- Perceptual quality metrics for multimedia
US 2012/0271288 A1: Methods And Systems For Processing Images Of The Anterior Chamber Angle Of An Eye (2014)
Abstract: An optical coherence tomography (OCT) image of the anterior chamber of an eye is processed to determine automatically a location in the image corresponding to Schwalbe's line. First, the method finds the location of the corneal endothelium. Then the method fits a model to the detected corneal endothelium. Then the method determines the location of Schwalbe's line based on the relationship between the detected corneal endothelium and the fitted model, such as where the detected corneal endothelium diverges most from the fitted model. The Schwalbe's line is used to obtain a numerical measure of the anterior chamber angle of the eye. The method can be used in a process for screening patients for glaucoma. In the case of patients found to be suffering from glaucoma, treatment can be performed.
Abstract: An optical coherence tomography (OCT) image of the anterior chamber of an eye is processed to determine automatically a location in the image corresponding to Schwalbe's line. First, the method finds the location of the corneal endothelium. Then the method fits a model to the detected corneal endothelium. Then the method determines the location of Schwalbe's line based on the relationship between the detected corneal endothelium and the fitted model, such as where the detected corneal endothelium diverges most from the fitted model. The Schwalbe's line is used to obtain a numerical measure of the anterior chamber angle of the eye. The method can be used in a process for screening patients for glaucoma. In the case of patients found to be suffering from glaucoma, treatment can be performed.