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
- Mar 2025: Successfully Completed My Masters Thesis MS in Electrical Engineering with concentration in AI
- Mar 2025: 1 Poster Presented at 14th annual Dr. Bala Ram Graduate Research Poster Competition NC A&T
- Mar 2025: 1 Conference paper published at SPIE digital library
- Jan 2025: Awarded "Bangladesh-Sweden Trust Fund (BSTF) Travel- Grant" See the List
- Jan 2025: Partial Travel Fund Awarded from "SPIE Student Conference Support"
- Nov 2024: 1 Journal Paper Published at Optics Express, Q-1, IF=3.2, H-Index
- May 2024: 1 Poster Presented by Co-author at Symposium on Physical Genomics
- Apr 2024: Serving as a reviewer for Undergraduate Research Symposium
- Mar 2024: 1 Poster Presented at NC A&T
- Aug 2023: Started PhD at NC A&T
- Jul 2021: 1 Paper accepted at ACMI
- Jun 2021: 1 Paper accepted at TENSYMP
- May 2021: Graduated form HSTU
- Apr 2021: 1 Poster accepted at ICICT4SD
- Nov 2020: 1 Poster accepted at ICBSLP
- Jul 2020: 1 Paper accepted at ICCNT
- Jun 2020: 1 Paper accepted at TENSYMP
- Dec 2019: 1 Paper accepted at STI
- Dec 2019: 1 Paper accepted at EICT
- Sep 2019: 2 Paper accepted at ICAEE
- Jul 2019: 1 Paper accepted at ICCNT
- Mar 2019: 2 Paper accepted at ICASERT
Preprints
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.
Principal_Component_Analysis
Reduce the dimension of a dateset by extracting only high variance data structure.
Robotics & Embedded Sysytem Design
Contact
Location: Current
Greensboro, NC, USA
Email:
ashahin200@gmail.com