Research

Image classification is turning into a significant and promising perspective in the fields of object recognition using computer vision. However, researchers have barely scratched the superficials of food image classification till now. To evaluate the dietary aptitudes of people from various ethnicities, the classification of their traditional foods makes a huge impact. That’s what steered us into the classification of seven traditional foods in Bangladesh. In this regard, our key contribution to this aspect is the development of a dataset of Traditional Bengali Food Image (TBFI) including images of seven different classes of traditional Bengali foods: Biriyani, Panta Ilish, Khichuri, Fuchka, Roshogolla, Dim Vuna & Kala Vuna. For this, a scratch model incorporating Convolutional Neural Network (CNN) has been developed, rectifying to another vital contribution. As conventional Neural Network doesn’t perform well in case of image datasets, the CNN approach has been followed in view of its high accuracy, computational power with efficiency and automatic recognition of important features without any human oversight. Moreover, transfer learning approach with fine tuned VGG16 has also been used for TBFI classification. The proposed model in this paper has generated a culminated outcome upon our TBFI dataset with an average accuracy of 98% in classifying the traditional Bengali food images.

The electrical power output from various combinations of piezo materials & shim materials have been investigated here. Two different types of materials as piezo materials and five  different types of materials as shim materials have been use in this study. MATLAB coding has been used to simulate the whole work.

This is my thesis work. Currently it's under review on a journal

This work is the study of radioisotope based piezoelectric energy harvester. Aluminium Scandium Nitride has been used as piezoelectric material, the unimorph cantilever is made of Silicon Nitride &  nickel-63 is used as a radioisotope source. MATLAB coding has been used to simulate the whole work.

This work is under review on a journal

A pandemic is a scourge of illness that has spread over an enormous district, influencing a significant number of individuals. A broad endemic ailment with a steady number of contaminated individuals is not a pandemic. Boundless endemic maladies with a steady number of contaminated individuals, for example, repeats of regular flu are for the most part rejected as they happen at the same time in enormous locales of the globe as opposed to being spread around the world. In this review paper, we have analyzed some pandemics from the last 300 to 400 years and made a comparison with the current pandemic due to the coronavirus. Every pandemic had a social, economical, and also political effect, which was incredible. Though most of the people died in the pandemic, which is known as Spanish Flu, the death rate is greater in the pandemic of COVID-19 which is currently ongoing throughout the world. As a result, the effect of this current pandemic on a different sector of the world would be greater than the previous pandemics.