Usman Ahmed

B.Sc Material Science & Engineering, M.Sc. Materials Science & Engineering

Usman holds a master's degree in Material Science and Engineering from Xian Jiaotong University, China. He worked on various research projects involving Aerospace Materials, Nanocomposite coatings, Solar Cells, and Nano-technology during his studies. He has been working as a freelance Material Engineering consultant since graduating. He has also published high-quality research papers in international journals with a high impact factor. He enjoys reading books, watching movies, and playing football in his spare time.

Articles from Usman

Study Develops Fiber-Optic Sensors for CO2 Detection Using Earthquake Waves

A recent study published in Sensors demonstrates the use of downhole fiber-optic sensors for monitoring carbon dioxide.

19 Oct 2022

Elliptical Nanohole Arrays Improve Beaming Effect of Plasmonic Metalenses

A recent study in Optical Materials investigates the beaming effect of a plasmonic metalens with elliptical nanohole arrays in a metal film using experimental techniques and geometric simulations.

18 Oct 2022

Study Uses Hyperspectral Imaging for Early Alzheimer's Detection

A recent study published in ACS Chemical Neuroscience suggests the use of retinal hyperspectral imaging technology as a biomarker for detecting early degenerative alterations in the retina associated with Alzheimer's disease.

14 Oct 2022

First Molecular-Level Characterization of Organophosphorus Compounds via Mass Spectrometry

A recent study published in Analytical Chemistry demonstrates the molecular characterization of Organophosphorus compounds in an ambient organic aerosol altered by wildfire smoke.

12 Oct 2022

Optical and Radar Sensing Reveals Australian Flooding Impacts

A recent study published in Remote Sensing uses VIIRS night-time light brightness imagery to map the extent of flooding in Brisbane and assess the change in energy utilization for the flood effect.

11 Oct 2022

Improving Cavity-Enhanced Spectroscopy with a U-Cavity System

A recent study published in Applied Sciences proposes a U-cavity system to boost the performance of cavity-enhanced spectroscopy systems. The asymmetric ripple effect significantly impacts the performance of the spectral system.

10 Oct 2022

Angle-Cam: A Deep Learning-Based Technique for Predicting Leaf Angle Distributions

A recent study published in Methods in Ecology and Evolution introduces an inexpensive time-lapse camera (Angle-Cam) based on deep learning for forecasting leaf angle distributions from horizontal images.

7 Oct 2022

Superlative Optical Sensors for Predicting Corn Grain Yield

A recent study published in Agronomy compares optical sensors and vegetation indices (VIs) at various corn grain stages to forecast in-season yield potential.

6 Oct 2022

Innovative Method for Rapid Analysis of Bacterial Pathogens

A recent study published in Diseases highlights matrix-assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOF MS) for discovering bacterial isolates from community patient urine samples and testing the isolated germs for antibiotic susceptibility.

5 Oct 2022

Deep-Learning-Based Method Improves Universal Landslide Detection

A recent study published in Remote Sensing proposes the landslide detection model YOLOX-Pro based on the enhanced YOLOX (You Only Look Once) target detection model to improve the deficient detection of complex landslides.

4 Oct 2022