PROJECTS
I am doing research on Long Short-Term Memory (LSTM), Bidirectional Long Short-Term Memory (BI-LSTM), Convolutional Neural Network (CNN), and published three papers with my research team. I have done the following projects.​
-
Data Visualization of the Breast Cancer Wisconsin Diagnostic Datasets. Link
-
Classify Cancerous Images IDC: Invasive Ductal Carcinoma vs non -IDC Images using Neural Network. Link
-
Using Deep Learning to identify whether a person has worn mask on his face or not during this Covid-19 pandemic (Convolution Neural Networks-CNN, Kera’s, TensorFlow, and Open CV). Link
-
Predicting whether a loan case will be paid off or not by using five Machine Learning Classifier Algorithms (K Nearest Neighbor, Decision Tree, Support Vector Machine, and Logistic Regression) and find the best model using different evaluation metrics (Jaccard, F1-score and Log Loss). Link
-
Using Linear Regression Model to predict the price of house sales in king country, USA and calculate the coefficient of determination (R^2 ) to check the model accuracy. Link
-
Deep Neural Network for Image Classification: Application- Using 2-layer neural network and L-layer deep neural network. Link
​
​
RESEARCH INTERESTS
Data Science in HealthCare
Machine Learning
Deep Learning (RNN,CNN,LSTM,NLP)
Neurocomputing
NeuroScience
Artificial Intelligence in HealthCare
Data Mining
Variational Autoencoder (VAE)
Generative Adversarial Network (GAN)
Bayesian Statistics
DNA sequence
​
​
EDUCATION
2018 - 2021
Yanshan University, Hebei, China
I am pursuing my MSc in the final semester (by research) at Yanshan University China under Fulbright Chinese Government Scholarship.
Department: Computer Science & Technology
Research Area: Data Mining, Data Science, Machine Learning, Deep Learning.
​
2013-2018
University of Barishal, Bangladesh
I completed BSc in Mathematics from the University of Barishal, Bangladesh, with a C.G.P.A of 3.91 out of 4 (merit position 2nd)
Dean’s Award for Academic Excellence in 2018 for merit position 2nd in B.Sc Honors.
1. Achieved C.G.P.A-4 out of 4 (Position 1st) in Semester-V, BS (Hons)
2. Achieved C.G.P.A-4 out of 4 (Position 1st) in Semester-VII, BS (Hons)
​