Research Focus
IoT and Robotics
Dept. of Internet of Things and Robotics Engineering developing autonomous systems and smart sensors.
Educational Technology
Faculty of Digital Transformation Engineering revolutionizing learning through tech.
Software Engineering
Faculty of Software and Machine Intelligence Engineering driving next-gen software solutions.
Data Science & Engineering
Advanced analytics, machine learning models, and big data processing.
Featured Projects
IoT & MLIoT-driven Weather Forecasting
Real-time weather measurement and forecasting mobile application with machine learning integration for accurate local climate data.
Deep LearningBangla Text Normalization
Deep learning-based Bangla text normalization with emotion classification for expressive text-to-speech synthesizers.
BioinformaticsBreast Cancer Staging
Comprehensive bioinformatics and machine learning analyses for breast cancer staging using TCGA dataset to improve diagnostic accuracy.
NLPWords of War Sentiment Analysis
A hybrid BERT-CNN approach for topic-wise sentiment analysis on the Russia-Ukraine War using social media data.
Medical AIRetinal Disease Classification
Explainable deep learning-based meta-classifier approach for multi-label classification of retinal diseases to prevent vision loss.
FinTech SecuritySecuring Transactions
A hybrid dependable ensemble machine learning model using IHT-LR and grid search for detecting fraudulent financial transactions.
Publications
Our research findings are regularly published in top-tier journals including Physics Open, Sensing and Bio-Sensing Research, and more.
Browse Archive →NOIRBETTIK: A reading comprehension based multiple choice question answering dataset in Bangla language
Sentiment Analysis of public perception toward mob justice
An Agro Automation System for Endurable Sunflower Disease Recognition: A CNN-Based Transfer Learning Approach
Bangla MEDER: Multi-BERT Ensemble Approach for the Recognition of Bangla Medical Entity
PROSHNO BINNASH: Contextual multi-label question answering dataset for low-resource NLP
Join Our Research Community
We are always looking for passionate students and collaborators to work on cutting-edge technologies. Shape the future with us.
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