Pritam Roy

Feature Writer

M. Tech in RF and Photonics (Microwave Engineering), Bachelor of Engineering in Electrical Engineering Technologies

Pritam Roy is a science writer based in Guwahati, India. He has his B. E in Electrical Engineering from Assam Engineering College, Guwahati, and his M. Tech in Electrical & Electronics Engineering from IIT Guwahati, with a specialization in RF & Photonics.

Pritam’s master's research project was based on wireless power transfer (WPT) over the far field. The research project included simulations and fabrications of RF rectifiers for transferring power wirelessly.

While pursuing his M. Tech, he was also a teaching assistant for undergraduate students at IIT Guwahati. He enjoyed teaching introductory electrical engineering courses to the first-year students at IIT Guwahati. Apart from his extensive experience in working as a content/scientific writer, he also has experience in writing and developing storyboards for various electrical simulations related to HVAC.

Pritam likes to write about new and evolving technologies in the field of engineering. He was constantly involved in reviewing many technical articles for various scientific websites. Along with his work, Pritam started editing and proofreading technical articles during his postgraduate and has been a freelance technical writer since then. While pursuing his postgraduate at IIT Guwahati, Pritam was the General Secretary of the IEEE Student Branch. As a part of the responsibilities of his position, Pritam was constantly occupied with proofreading technical journals that were to be published in the field of Electrical Engineering.

Pritam is a passionate painter. Whenever he is not engaged in his work, he loves to paint. Other than painting, he also enjoys playing games such as cricket, football, and table tennis, amongst others. He is always curious and eager to learn new things and is passionate about keeping up-to-date with scientific, engineering, and information technology developments.

Articles from Pritam

Researchers Monitor the Deformation Characteristics of Landslides with Optical Remote Sensing

In an article published in Remote Sensing, researchers suggested a technique to indirectly observe the deformation features of landslides by extracting anomalous vegetation coverage information, particularly for the high-mountain inaccessible landslides in southwest China.

21 Nov 2022

Laser-Induced Forward Transfer (LIFT) of Nanosilica Using Nanosecond Laser

In an article published in Nanomaterials, researchers accomplished laser-induced forward transfer (LIFT) of silica nanoparticle films by utilizing an inexpensive nanosecond laser with a central wavelength of 1064 nm.

28 Oct 2022

Stabilizing Chiral Microstructure Micromachining with a Multiramp Helical-Conical Beam

In an article published in Micromachines, researchers introduced a multiramp helical-conical beam (MHCB) that could generate three-dimensional (3D) spiral light fields in a sharply focused system.

25 Oct 2022

Novel Laser Parameter Measurement Using Cone-Arranged Fibers

In an article published in the open-access journal Sensors, researchers suggested a novel laser parameter measuring technique based on cone-arranged array fibers to enhance the measurable spot size, spatial sampling resolution, and permissible incidence angle range.

21 Oct 2022

Novel Axial Preload Tool Reduces Residual Strain Through Optical Fiber Sensors

In an article published in Polymers, researchers described a technique for minimizing thermal residual strain in a metal-CFRP-metal hybrid tube (MCMHT).

19 Oct 2022

Researchers Develop Novel One-Class Detection Technique for Fake Image Detection

In an article published in the open-access journal Sensors, researchers introduced a new-generation approach employing a one-class classification framework for assessing the authenticity of facial photos. Such a generation technique was developed to create a compatible and feasible structure with new data and other datasets rather than relying heavily on the dataset used for training.

17 Oct 2022

Study Helps Detect Forest Changes Using Optical Imaging

In an article published in Remote Sensing, researchers proposed a novel double branch-based Siamese change detection network popularly known as DSNUNet to efficiently integrate synthetic aperture radar (SAR) and optical data in forest change detection.

13 Oct 2022

Using Hyperspectral Imagery for Urban Water Quality

In an article published in Remote Sensing, researchers examined the feasibility of ZY1-02D hyperspectral images for extracting non-optical active water quality parameters, such as dissolved oxygen (DO), total phosphorus (TP), and permanganate index (CODMn), in urban rivers and lakes.

12 Oct 2022

Researchers Use Lidar Point Cloud Reconstruction to Improve Railway Systems

In an article published in Remote Sensing, researchers presented a point cloud reconstruction approach for a mobile laser scanning technique based on trajectory filtering.

10 Oct 2022

Artificial Light Color Helps Researchers Understand Light Pollution

In an article published in Remote Sensing, researchers proposed crowdsourcing images of streetlights as a novel data source. The authors created NightUp Castelldefels, a prototype for a citizen science experiment that gathered information regarding the hue of streetlights.

10 Oct 2022