Md. Shahin Alom

Hi there I'm a

About

I am a second year PhD Student at the Gaire’s Interdisciplinary Lab of North Carolina A&T State University. I am supervised by Dr. Sunil Kumar Gaire . I work on Machine learning, Biomedical imaging, Deep Learning, Computer Vision in cancer research for my doctoral research.

Update

Preprints

Deep Learning-driven Automatic Nuclei Segmentation of Label-free Live Cell Chromatin-sensitive Partial Wave Spectroscopic Microscopy Imaging (August - 2024)

Authors - Md Shahin Alom, Sunil Kumar Gaire, Ali Daneshkhah, Nicolas Acosta, Nick Anthony, Emily Pujadas, Vadim Bckman

Resume

Summary

Shahin Alom

I'm currently pursuing my PhD Degree under the guadance of Dr. Sunil Kumar Gaire from NCAT in Electrical & Computer Engineering. I am always curious to learn new technology and skills.

Area of Interest

Machine Learning
Deep Learning
Computer Vision
Robotics
Internet of Things
Data Science

Education

Ph.D. in Electrical & Computer Engineering

2023 - Present

North Carolina A&T State University

B.Sc in Electrical & Electronic Engineering

2016 - 2021

Hajee Mohammad Danesh Science and Technology University (HSTU), Bangladesh

CGPA 3.58 (out of 4).

Higher Secondary Certificate (H. S.C)

2013 - 2015

Notre Dame College, Dhaka, Bangladesh

with GPA 5(out of 5).

Secondary School Certificate (S.S.C)

2011 - 2013

Sthal Pakrashi Institution School and College, Sirajganj, Bangladesh

with GPA 5(out of 5).

Research Publication

Some of my Research work :


Cricket Sentiment Analysis from Bangla Text Using Recurrent Neural Network with Long Short Term Memory Model

Abstract: Nowadays, people used to express their feelings, thoughts, suggestions and opinions on different social platform and video sharing media. Many discussions are made on Twitter, Facebook and many respective forums on sports especially cricket and football. The opinion may express criticism in different manner,.

Digit Recognition in Sign Language Based on Convolutional Neural Network and Support Vector Machine

Abstract: Hearing and speech impaired individuals communicate using sign language among themselves and to the normal people. But it is challenging for non-sign language speaker to understand the sign language. Thus, sign language speaker or signer often finds difficulties in expressing their feelings.

Bangla Compound Character Recognition by Combining Deep Convolutional Neural Network with Bidirectional Long Short-Term Memory

Abstract: Recognition of Bangla handwritten compound characters has a significant role in Bangla language in order to develop a complete Bangla OCR. It is a challenging task owing to its

Deep Convolutional Neural Network for Microscopic Bacteria Image Classification

Abstract: Bacterial classification is crucial in medical science in order to diagnosis specific causative agent of numerous fatal diseases. Moreover, treatment of bacterial infection has also been possible through understanding of its nature and classification. Besides that,

Deep Convolutional Neural Network Exploiting Transfer Learning for Country Recognition by Classifying Passport Cover

Abstract: Nowadays, Citizen of one country is traveling to another country to settle their various needs through widespread modern transportation system. However, Passport

Performance Analysis of Machine Learning Techniques for Microscopic Bacteria Image Classification

Abstract: Microscopic bacterial image classification is of great significance in medical science in order to diagnosis numerous fatal diseases caused by bacteria.

Rice Disease Identification and Classification by Integrating Support Vector Machine With Deep Convolutional Neural Network

Abstract: Over the world, rice is one of the most extensively consuming staple foods. But due to various diseases of rice, farmers can't yield rice according to their expectation..

Wireless Home Automation System Using IoT and PaaS

Abstract: Home automation based on Internet of Things (IoT) is getting huge attention of mass people in recent years. Smart home eases and secures the management of the home appliances.

Projects

Some of my Projects :

Deploy-Image-Classificion-app-using-Flask

This is a deep learning project. I used Convolutional Neural Networks to classify MNIST handwritten data. For more convenient propose of test data, used flask microweb framework to deploy it in a server and then you can access and test it remotely from any desktop browser. You can also test it from your desktop localhost..

Covid19 prediction from X-ray image

Covid_19 X_ray image prediction using Convolution Neural network. This is a demo project..

Real Time Face Mask Detection using Deep Learning and Computer Vision

Real Time Face Recognition using Deep Learning and Opencv.

Emotion Recognition with Keras

Emotion Recognition with Keras.

Principal_Component_Analysis

Reduce the dimension of a dateset by extracting only high variance data structure.

Robotics & Embedded Sysytem Design

  • Wireless Home Automation System Using Arduino and Ethernet Shield.
  • Semi-autonomous quad-copter Drone
  • Autonomous line and wall follower robot
  • Automatic Alcohol Detecting Device with Engine Locking System
  • Contact

    Location: Current

    Greensboro, NC, USA

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