40 citations · 63 across the 10 of their papers we have counts for
12 papers
Respiration Rate Sensor Based on Fiber Cavity Attenuated Phase Shift Spectroscopy
Muhammad Fahd Ibrahim, Shazreen Rashid, Noor-ul-Amin Nazir +1
Respiratory rate (RR) is a vital sign with significant diagnostic value. Existing RR monitors often suffer from baseline drift over time, breaths can be occluded by limb or body mo…
HistoSpeckle-Net: Mutual Information-Guided Deep Learning for high-fidelity reconstruction of complex OrganAMNIST images via perturbed Multimode Fibers
Jawaria Maqbool, M. Imran Cheema
Existing deep learning methods in multimode fiber (MMF) imaging often focus on simpler datasets, limiting their applicability to complex, real-world imaging tasks. These models are…
Experimental insights into data augmentation techniques for deep learning-based multimode fiber imaging: limitations and success
Jawaria Maqbool, M. Imran Cheema
Multimode fiber~(MMF) imaging using deep learning has high potential to produce compact, minimally invasive endoscopic systems. Nevertheless, it relies on large, diverse real-world…
Lipoarabinomannan-based Tuberculosis Diagnosis using a Fiber Cavity Ring Down Biosensor
Ubaid Ullah, Seerat Saleem, Muddassar Farooq +2
Despite existing for millennia, tuberculosis (TB) remains a persistent global health challenge. A significant obstacle in controlling TB spread is the need for a rapid, portable, s…
Towards optimal multimode fiber imaging by leveraging input polarization and deep learning
Jawaria Maqbool, Syed Talal Hassan, M. Imran Cheema
Deep learning techniques provide a plausible route towards achieving practical imaging through multimode fibers. The results produced by these methods are often influenced by physi…
Fabry-Pérot fiber cavity refractive index sensing via linewidth tracking in the broken PT-symmetric region
Faiza Iftikhar, Raja Ahmad, M. Imran Cheema
Parity-time (PT) symmetric optical sensors operating around exceptional points have recently gained much attraction, offering an unparalleled high sensitivity in measuring small pe…
Raman Spectroscopy and Machine Learning-based Optical Sensor for Rapid Tuberculosis Diagnosis via Sputum
Ubaid Ullah, Zarfishan Tahir, Obaidullah Qazi +2
Tuberculosis (TB) is a contagious disease that causes 1.5 million deaths per year globally. Early diagnosis of TB patients is critical to control its spread. However, standard TB d…
Phase shift-cavity ring down spectroscopy in linear and active fiber cavities for sensing applications at 1550 nm
Ubaid Ullah, M. Imran Cheema
Liquid phase sensing applications at 1550~nm are highly desirable due to widely available off-the-shelf components. Generally, liquids at 1550~nm induce a high absorption loss that…
Detection of Aflatoxin M1 by Fiber Cavity Attenuated Phase Shift Spectroscopy
M. Daniyal Ghauri, Syed Zajif Hussain, Ubaid Ullah +4
Aflatoxin M1 (AFM1) is a carcinogenic compound commonly found in milk in excess of the WHO permissible limit, especially in developing countries. Currently, state-of-the-art tests…
Digital synthesis of multistage etalons for enhancing the FSR
Faiza Iftikhar, Usman Khan, M. Imran Cheema
Fabry-Perot fiber etalons (FPE) built from three or more reflectors are attractive for a variety of applications including communications and sensing. For accelerating a research a…
Simultaneous measurement of quality factor and wavelength shift by phase shift microcavity ring down spectroscopy
M. Imran Cheema, Simin Mehrabani, Ahmad A. Hayat +3
Optical resonant microcavities with ultra high quality factors are widely used for biosensing. Until now, the primary method of detection has been based upon tracking the resonant…
Accurate determination of the quality factor and tunneling distance of axisymmetric resonators for biosensing applications
M. Imran Cheema, Andrew G. Kirk
Due to ultra high quality factor (), axisymmetric optical microcavities are popular platforms for biosensing applications. It has been recently demonstrated that a micro…