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Nicholas Pellegrino
Nicholas Pellegrino completed his master’s degree in Systems Design Engineering in 2022. He was associated with PhotoMedicine Labs and the Vision and Image Processing (VIP) Lab, and was co-supervised by Dr. Parsin Haji Reza and Prof. Paul Fieguth. His main research contributions were in the areas of signal processing, multi-spectral unmixing, and chromophore-selective PARS® imaging…
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Nicholas Pellegrino
Nicholas Pellegrino is a doctoral student in Systems Design Engineering, supervised by Prof. Paul Fieguth and associated with the Vision and Image Processing (VIP) Lab and the Statistical Image Processing (SIP) Lab. His main research focus is on machine vision, specifically object recognition. In support of the BIOSCAN program, associated with the International Barcode of…
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Shahid Haider
I am very interested in spectropolarimetric optical imaging techniques and utilizing them for medical purposes. I have extended interests as well in medical image processing and analysis, in particular with prostate MRI.
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Wesley Campaigne
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Farnoud Kazemzadeh
Design, build, and application of scientific multispectroscopic, hyperspectroscopic, and interferometric imaging systems for various sensing applications: up-looking (astronomy) and down-looking (space instrumentation, Earth sciences, biomedicine, security, military).
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Sunil Sinha
I am a Ph.D. student at the VIP lab working under Professor Paul Fieguth. My research involves image segmentation and scientific imaging. Specifically, automated visual inspection of underground pipes.
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Simon Alexander
Research interests include medical imaging, wavelets, and algorithms.
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Zohreh Azimifar
Research interests include statistical learning of generative and discriminative models for massive data sources with particular attention in statistical computer vision and pattern recognition.
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Azadeh Mohebi
Her current research is on statistical pattern recognition and multidimensional data modeling.
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Ying Liu
My research interests lie in multidimensional signal processing, statistical modeling, and machine learning. My work is focused on the developing methodology and application algorithms for multivariate data analysis, multiresolution representation and estimation, in particular, for image and video processing, remote sensing and scientific sensing data modeling and analysis.
