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Posts
Backpropagation in CNN
Published:
Understanding Backpropagation in Convolutional Neural Networks (CNNs)
Backpropagation in CNNs is a fundamental yet conceptually challenging topic that is crucial for understanding how these networks learn and optimise their parameters. It’s noted that detailed content on this specific topic isn’t always readily available, even in textbooks .
experience
Data Analyst
Trainee Data Analyst, ADN Diginet, 2023
Key Responsibilities:
- Power BI, Data Scraping, Data Cleaning, Data Visualization, and Implementing ML Algorithms.
- Creating interactive Sales Dashboards using Power BI.
- Integrating Machine Learning models for Sales Prediction.
Research Engineer
CCDS, Independent University, Bangladesh, 2023
Research Title:
Application of Biomedical Signal Processing, Analysis, and Classification to Identify Biomarkers of Stroke for Early Prediction and Post-Stroke Recovery.
Faculty
Lecturer, Independent University, Bangladesh, 2023
Courses Taught:
- Introduction to Computer Programming.
Course Materials - Data Structure.
Course Materials - Algorithms.
Course Materials
portfolio
Best Undergraduate Researcher
Research Excellence!!
Researcher Engineer Days
A pleasant spot to commence your day, sipping a cup of tea while delving into the intricacies of research methodology 📚 🔬☕ !!
publications
Multiclass Classification for GvHD Prognosis Prior to Allogeneic Stem Cell Transplantation
Published in AI 2022: Advances in Artificial Intelligence, 2022
This book chapter explores multiclass classification for predicting GvHD prognosis prior to allogeneic stem cell transplantation.
Predicting the Success of Suicide Terrorist Attacks using different Machine Learning Algorithms
Published in 25th International Conference on Computer and Information Technology (ICCIT), 2022
The main objective of our paper is to predict different types of attacks, such as successful suicide attacks, successful non-suicide attacks, unsuccessful suicide attacks, and unsuccessful non-suicide attacks.
Multiclass Classification of GvHD and Relapse: A Comparative Analysis Among Machine Learning and ANN-based Algorithms
Published in 25th International Conference on Computer and Information Technology (ICCIT), 2022
In this study, a multiclass target feature is created to predict potential GvHD and relapse pairings using only three and six crucial attributes from the original dataset, and a comparative analysis is performed between them.
Exploring the Efficacy of BERT in Bengali NLP: A Study on Sentiment Analysis and Aspect Detection
Published in IEEE EUROCON 2023 - 20th International Conference on Smart Technologies, 2023
In this study, we explore the performance of advanced NLP techniques in Bengali text classification tasks, specifically sentiment analysis and aspect detection.
Repercussion of Image Compression on Satellite Image Classification using Deep Learning Models
Published in 2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall), 2023
This paper reduces satellite image pixel size using interpolation techniques and evaluates Deep Learning models for efficient classification and transmission.
NeuralGesture Communication: Translating one Sign Language to Another Sign Language Using Deep Learning Model and gTTs
Published in 2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring), 2024
This study introduces a system translating sign languages using deep learning models (CNN, VGG16, ResNet) for seamless communication, achieving 99.98% accuracy with Bangla and ASL datasets.
Advancements in Bangla Speech Emotion Recognition: A Deep Learning Approach with Cross-Lingual Validation
Published in 2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring), 2024
This study proposes a Bangla Speech Emotion Recognition framework using data augmentation, feature extraction, and a Deep Neural Network, achieving 99% accuracy on unseen data.
Enhanced Vehicle Detection by Optimized Image Compression in NextG Wireless Network Autonomous Vehicles System
Published in 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall), 2024
This research aims to diminish dataset size, in harmony with the integration capabilities of the Semantic and Flexible Open Radio Access Network (SEM-O-RAN) framework, which is anticipated to reduce latency and refine resource allocation in vehicle image processing.
A Theoretical Framework for Decentralized Intrusion Detection in Smart Networks Using Blockchain and Machine Learning
Published in International Conference on Advanced Information Networking and Applications, 2025
This paper presents a theoretical analysis of a blockchain-based Intrusion Detection System (IDS) designed to improve cybersecurity through decentralized threat intelligence sharing.
talks
Secondary School Certificate (SSC)
Published:
Higher Secondary School Certificate (HSC)
Published:
Bachelor of Science (BSc)
Published:
Minor
- Big Data and High-Performance Computing