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 Life project, Nicholas has undertaken the task of taxonomic order-level insect image classification. Broadly, this research will enable a far more extensive and detailed understanding of global biodiversity and the interactions between species and ecosystems.
During his master’s degree (also in Systems Design Engineering), Nicholas was associated with PhotoMedicine Labs, 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 with applications in PARS histology and ophthalmology. From his master’s, Nicholas was awarded the Alumni Gold Medal, which recognizes the top graduating master’s student across the whole university for their academic achievement.
Nicholas graduated from Mechatronics Engineering at the University of Waterloo in 2019, completed his master’s degree with PhotoMedicine labs in 2022, and now is completing a PhD at the Vision and Image Processing lab.
Email: nicholas.pellegrino@uwaterloo.ca
UW Scholar: https://uwaterloo.ca/scholar/npellegr
LinkedIn: LinkedIn
Google Scholar: Google Scholar
Computer Vision
Image Segmentation/Classification
Remote Sensing
Scientific Imaging
Pellegrino N., Fieguth P.W., and Haji Reza P, "K-Means for noise-insensitive multi-dimensional feature learning", Pattern Recognition Letters, vol. 127, pp. 113-120, 2023. Get it here. Hosseinaee Z., Pellegrino N., Abbasi N., Amiri T., Simmons J.A.T., Fieguth P., and Haji Reza P, "Author Correction: In-vivo functional and structural retinal imaging using multiwavelength photoacoustic remote sensing microsco", Scientific Reports, vol. 12, 2022. Get it here. Hosseinaee Z., Pellegrino N., Abbasi N., Amiri T., Simmons J.A.T., Fieguth P., and Haji Reza P, "In-vivo functional and structural retinal imaging using multiwavelength photoacoustic remote sensing microscopy", Scientific Reports, vol. 12, 2022. Get it here. Pellegrino N., Ecclestone B.R., Dinakaran D., van Landeghem F., Fieguth P., and Reza P.H, "Time-domain feature extraction for target specificity in photoacoustic remote sensing microscopy", Optics Letters, vol. 47, pp. 3952-3955, 2022. Get it here. Hosseinaee Z., Ecclestone B., Pellegrino N., Khalili L., Mukhangaliyeva L., Fieguth P., and Reza P.H, "Functional photoacoustic remote sensing microscopy using a stabilized temperature-regulated stimulated Raman scattering light so", Optics Express, vol. 29, pp. 29745-29754, 2021. Get it here.
Conference PapersTweel J., Pellegrino N., Ecclestone B.R., Fieguth P., and Reza P.H, "Tissue-Specific Labelling using Temporal Feature Extraction in Photoacoustic Remote Sensing Microscopy", Optics InfoBase Conference Papers, 2022. Get it here.