Ultra‐compact and ultra‐broadband hybrid plasmonic‐photonic vertical coupler with high coupling efficiency, directivity, and polarisation extinction ratio

Autor: Hamed Pezeshki, Amanda J. Wright, Eric C. Larkins

Publikováno v: IET Optoelectronics, Vol 16, Iss 3, Pp 124-132 (2022)

Abstract An ultra‐compact, ultra‐broadband vertical coupler for dense photonic integrated circuits is reported with a 1.07 × 0.62 μm2 wavelength‐scale footprint. This hybrid plasmonic‐photonic coupler uses a unique two‐plane plasmonic nan

Externí odkaz: https://doaj.org/article/c823a282657f44069bb28dc111adfc73

Optical Reading of Nanoscale Magnetic Bits in an Integrated Photonic Platform

Autor: Hamed Pezeshki, Pingzhi Li, Reinoud Lavrijsen, Jos J. G. M. van der Tol, Bert Koopmans

Publikováno v: arXiv, 2022:2208.02560. Cornell University Library
Pure TUe
IEEE Journal of Quantum Electronics, 59(3):0600808. Institute of Electrical and Electronics Engineers
IEEE Xplore

In this paper, we propose a compact integrated hybrid plasmonic-photonic device for optical reading of nanoscale magnetic bits with perpendicular magnetic anisotropy in a magnetic racetrack on top of a photonic waveguide on the indium phosphide membr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5520d673e70e88b9a61a40ed8482fc51
https://research.tue.nl/nl/publications/5aade3ed-d1f6-4206-ad78-7cb1e64b2056

Mass classification of mammograms using fractal dimensions and statistical features

Autor: Maryam Rastgarpour, Samaneh Yazdani, Hamed Pezeshki, Arash Sharifi

Publikováno v: Multidimensional Systems and Signal Processing. 32:573-605

For classification of tumors in mammography, the major features are extracted from the segmented tumor. However, some details of the tumor margin, such as the spiculated parts, are eliminated in the segmentation step. The current study suggests a new

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6848d00da66c58396265c18c3f35df2d
https://doi.org/10.1007/s11045-020-00749-6

Machine Learning Based Time Domain Millimeter-Wave Beam Prediction for 5G-Advanced and Beyond: Design, Analysis, and Over-The-Air Experiments

Autor: Qiaoyu Li, Philip Sisk, Arumugam Kannan, Taesang Yoo, Tao Luo, Gaurav Shah, Badri Manjunath, Chanaka Samarathungage, Mahmoud Taherzadeh Boroujeni, Hamed Pezeshki, Himanshu Joshi

Publikováno v: IEEE Journal on Selected Areas in Communications. :1-1

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::50be911ab64148fca69663cb8f0f90d2
https://doi.org/10.1109/jsac.2023.3275613

Extraction of spiculated parts of mammogram tumors to improve accuracy of classification

Autor: Samaneh Yazdani, Arash Sharifi, Maryam Rastgarpour, Hamed Pezeshki

Publikováno v: Multimedia Tools and Applications. 78:19979-20003

Spiculated parts of masses are significant features to classify tumors in digital mammography; however, segmentation, which is used to extract the shape and contour of a tumor, eliminates them. To address this problem, the current study proposes a no

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bcee54a561a51b62850f00bdcfa7340c
https://doi.org/10.1007/s11042-019-7185-4