Welcome to My Academic Portfolio

🏆 Best Paper Award - 3rd BIM 2025

I am thrilled to announce that our paper, “BanglaMind: A Transformer-Based NLP Chatbot for Emotion and Suicide Risk Detection in Students Using Context-Aware Multilabel Classification,” received the Best Paper Award at the 3rd International Conference on Big Data, IoT and Machine Learning (BIM 2025).

This work introduces BanglaMind, an AI-powered mental health chatbot that leverages Bangla-BERT and transformer-based models to detect emotions, suicidal ideation, and intent from Bangla-language conversations with 97.38% accuracy. Built with a MERN stack interface, it provides real-time empathetic responses, suicide risk alerts, and access to mental health resources.

By combining cutting-edge NLP techniques with culturally aware design, this research marks a breakthrough in Bangla NLP and South Asian mental health technology, addressing a critical gap in student mental well-being..

#BestPaperAward #Springer #Taylor&Francis #BIM2025

Candidate for the Publicity Coordinator - IEEE Bangladesh Section Excom Election 2025

I am thrilled to announce my candidacy for Publicity Coordinator in the IEEE Bangladesh Section Executive Committee Election 2025! 🎉

With a strong commitment to enhancing visibility, engagement, and global recognition, I aim to take the IEEE Bangladesh Section to new heights. Your support and vote will help drive impactful initiatives and strengthen our community’s presence worldwide.

🗳️ I kindly ask for your valuable vote! Let’s work together to make the IEEE Bangladesh Section more dynamic and prestigious.

#IEEEElection2025 #IEEEBangladeshSection #VoteForMe #PublicityCoordinator

🏆 Best Paper Award (1st Runner Up) - 3rd IEEE CS BDC Summer Symposium 2024

Alhamdulillah, I am delighted to share that our paper, “Comparison of TF-IDF with CountVectorizer for Sentiment Analysis from Bengali Text using Supervised Machine Learning,” has been recognized as the 1st Runner Up Best Paper at the 3rd IEEE CS BDC Summer Symposium 2024.

In this study, we investigated the performance of two popular feature extraction techniques—CountVectorizer and TF-IDF—applied to Bengali sentiment analysis, a challenging low-resource language domain. Using SVM and XGBoost classifiers, our experiments revealed that SVM with TF-IDF achieved the highest accuracy of 97.31%, outperforming CountVectorizer’s 95.95%. These findings highlight how TF-IDF better captures the linguistic richness and contextual nuances of Bengali text, reinforcing its suitability for scalable sentiment classification tasks.

#BestPaperAward #IEEE #IEEECSBDC #IEEECSBDCSS2024

A Handbook of C Programming with Example

A Handbook of C Programming with Example˗ is a fantastic guideline for an ultimate beginner who is trying to get knowledge about 'C' programming. In this book, we aimed to provide a concise introduction to C programming, presenting all the content in clear and transparent language that enables learners to grasp the concepts and acquire the expected knowledge easily. Launch the online practice platform, and learners can measure their knowledge based on their performance and showcase their talent to the world.

Masud Rabbani | Md Atiqur Rahman | Md. Hasan Imam Bijoy

Best CS Professional Volunteer - IEEE CS BDC 2023

I was honored to be recognized as the Best CS Professional Volunteer at the IEEE Computer Society Bangladesh Chapter (IEEE CS BDC). This accolade reflects my dedication and commitment to advancing the field of computer science through volunteer work. My involvement with IEEE CS BDC 2023 enabled me to make a significant contribution to the conference's success, supporting various initiatives, including organizing sessions and facilitating discussions on cutting-edge topics in big data and computing. This recognition highlights not only my technical expertise but also my passion for fostering collaboration and innovation within the professional community.