M. Imran Cheema received the Ph.D. and MS degrees in Electrical Engineering from McGill University Canada in 2014 and the University of Colorado at Boulder USA in 2007, respectively. He received his BS in Electrical Engineering from UET Lahore in 2002. He is currently an assistant professor in the Electrical Engineering department at Lahore University of Management Sciences (LUMS), Pakistan. His prior appointments include a photonics engineer at Oerlikon Optics Inc., USA, and a postdoctoral researcher at McGill University, Canada. His research interests include designing and developing optical sensors for point-of-care, agriculture, and food security applications.

Website: http://web.lums.edu.pk/~bap/

Title Publication Author Year
Towards optimal multimode fiber imaging by leveraging input polarization and deep learning Optical Fiber Technology 2024
Lipoarabinomannan-based tuberculosis diagnosis using a fiber cavity ring down biosensor Biomedical Optics Express 2024
Optical Signal Attenuation through Smog in Controlled Laboratory Conditions Photonics 2024
Integrated photonic and plasmonic biosensors Biophotonics and Biosensing: from Fundamental Research to Clinical Trials through Advances of Signal and Image Processing 2024
Application of conditional generative adversarial networks toward time-efficient and high-fidelity imaging via multimode fibers Proceedings of SPIE - The International Society for Optical Engineering 2024
Toward Rapid Tuberculosis Diagnostics: Optical Fiber Sensor for LAM Detection Progress in Biomedical Optics and Imaging - Proceedings of SPIE 2024
Arsenic detection in drinking water using evanescent fiber cavity ring down spectroscopy Progress in Biomedical Optics and Imaging - Proceedings of SPIE 2023
Raman spectroscopy and machine learning-based optical probe for tuberculosis diagnosis via sputum Tuberculosis 2022
Refractive Index Sensing by Phase Shift Cavity Ringdown Spectroscopy NATO Science for Peace and Security Series B: Physics and Biophysics 2022
Tuberculosis diagnosis from sputum using Raman spectroscopy Progress in Biomedical Optics and Imaging - Proceedings of SPIE 2022
Use of machine learning in a speckle-based optical fiber sensor for temperature detection Proceedings of SPIE - The International Society for Optical Engineering 2022
Detecting aflatoxin M1 using wavelength-scanned fiber cavity attenuated phase shift spectroscopy Progress in Biomedical Optics and Imaging - Proceedings of SPIE 2022
Spatiotemporal thermal analysis of tapered fibers in optical cavity sensing applications at 633 nm and 1550 nm OSA Continuum 2021
Phase Shift-Cavity Ring down Spectroscopy in Linear and Active Fiber Cavities for Sensing Applications at 1550 nm IEEE Sensors Journal 2021
Detection of aflatoxin M1 by fiber cavity attenuated phase shift spectroscopy Optics Express 2021
Fluoride detection in drinking water using evanescent fiber cavity ring down spectroscopy Progress in Biomedical Optics and Imaging - Proceedings of SPIE 2021
Digital synthesis of multistage etalons based upon unequal cavity lengths Journal of the Optical Society of America B: Optical Physics 2020
Linear cavity tapered fiber sensor using mode-tracking phase-shift cavity ring-down spectroscopy Journal of the Optical Society of America B: Optical Physics 2020
Fabry-Perot etalon with three fiber Bragg gratings as a digital sensor Progress in Biomedical Optics and Imaging - Proceedings of SPIE 2020
Amplified phase shift - Fiber cavity ring down spectroscopy for biosensing applications at 1550nm Progress in Biomedical Optics and Imaging - Proceedings of SPIE 2020
Digital sensor based on multicavity fiber interferometers Journal of the Optical Society of America B: Optical Physics 2019
FSR Enhancement Based on Digital Design of Multi-Etalons with Asymmetric Lengths of Cavities 2019 IEEE Photonics Conference, IPC 2019 - Proceedings 2019
Analytical expressions for waveguide-coupled phase shift microcavity ring down spectroscopy Journal of the Optical Society of America B: Optical Physics 2015
Optimizing the signal to noise ratio of microcavity sensors IEEE Photonics Technology Letters 2014
Towards more accurate microcavity sensors: Maximum likelihood estimation applied to a combination of quality factor and wavelength shifts Optics Express 2013