Owais Ali

B.S. Mechanical Engineering

NEBOSH certified Mechanical Engineer with 3 years of experience as a technical writer and editor. Owais is interested in occupational health and safety, computer hardware, industrial and mobile robotics. During his academic career, Owais worked on several research projects regarding mobile robots, notably the Autonomous Fire Fighting Mobile Robot.

The designed mobile robot could navigate, detect and extinguish fire autonomously. Arduino Uno was used as the microcontroller to control the flame sensors' input and output of the flame extinguisher. Apart from his professional life, Owais is an avid book reader and a huge computer technology enthusiast and likes to keep himself updated regarding developments in the computer industry.

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Articles from Owais

Improving Optical Coherence Tomography Quality with Image Assessments

A study published in Photonics suggests a new effective image assessment index based on OCT-DVC that enhances the OCE system and the development of new DVC-OCE algorithms.

18 Aug 2022

Researchers Propose Motion-Blurred Image Restoration Framework

A pre-proof study in Pattern Recognition has proposed a novel motion-blurred image restoration framework based on blur parameter estimation and fuzzy inference neural networks. The proposed restoration framework produces high-quality image restoration results.

16 Aug 2022

Researchers Use White Light Reflectance Spectroscopy for Rapid Analysis of Film Thickness

A study published in Micro discusses white light reflectance spectroscopy as an optical methodology for the fast, accurate, and non-destructive measurement of films for microelectronics, bio-analysis, photonics and packaging applications.

15 Aug 2022

Study Introduces New LiDAR Signal Denoising Method

To find the most suitable denoising method for LiDAR signals, a study published in Sensors compared various single and joint denoising algorithms. The result indicates that the WT-VMD joint algorithm has the best noise reduction effect, the highest signal-to-noise ratio, and can increase LiDAR signal inversion accuracy.

12 Aug 2022

Algorithms Streamlining Optical Systems Design

A study published in ACS Photonics discusses how deep learning and conventional optimization-based methods create a new conceptual foundation for freeform optical engineering.

11 Aug 2022

Novel Blue Phosphor Material Could Speed Up WLED Lighting Industrialization

A prototype LED chip-pumped system employing blue phosphor reported by a recently published study in ACS Sustainable Chemistry & Engineering can create full-spectrum warm white light with diminished blue light intensity. The proposed blue phosphor has the potential to accelerate the manufacturing of human-centric WLED lighting.

11 Aug 2022

Study Looks at Advances in Short-Pulse Laser–Induced Breakdown Effect on CCD Detectors

A study published in Optics and Laser Technology discusses charge-coupled devices (CCD), recent advances in short-pulse laser-induced breakdown effects on CCDs, laser damage effects, the influence of laser parameters on CCDs, and the inherent relationship between laser parameters and damage effects. This research lays the theoretical and experimental foundation for future laser protection measures and photoelectric countermeasure systems.

10 Aug 2022

Study Sheds Light on Optical Refractive Index Sensing of High Sensitivity and Ultra-High FOM

An Optics Communications pre-proof study proposed a novel optical refractive index sensor design based on electromagnetic multipolar quasi-bound states in the continuum (BICs) to enhance its figure of merit (FOM). This creates opportunities for ultra-high FOM optical refractive index sensing with high sensitivity.

9 Aug 2022

Hyperspectral Technique Classifies and Identifies Textile Fibers

Pre-proof research from Analytical Chimica Acta suggested a method for non-destructive, fast, and accurate classification and identification of textile fibers based on the one-dimensional convolutional neural network (1D-CNN) model and hyperspectral imaging (HSI) technique.

9 Aug 2022

Multispectral Drone Imagery Accelerates Flood Risk Mapping

In a study published in the journal Sensors, researchers created a high-resolution land cover map of flood-prone rural settlements using multispectral drone data.

5 Aug 2022