12/12/2025
โจ Great News from the Department of CSE, Southeast University! โจ
It is our great pleasure to share that the following papers from our department have been accepted for publication in the only Core C ranked IEEE conference in Bangladesh, ICCIT 2025.
Our sincere gratitude to all the esteemed faculty members for supervising our students and, of course, our beloved students for their extraordinary works. So far, we got complete details of 19 papers, and it is expected to have nearly 25 papers from our department. If your paper isn't listed here, please comment so that we can enlist it.
Below is the list we have incorporated so far:
๐น 1. A Lightweight Deep Learning Framework for Early-Stage DDoS Defense in Software Defined Networking
Authors: Md. Mahamudul Hasan Zubayer, Bushra Tabassum, Prof. Abdul Kadar Muhammad Masum, PhD., Prof. Dewan Md. Farid, PhD.
๐น 2. Counterfeit Bangladeshi Banknote Detection using Transfer Learning
Authors: Bushra Tabassum, Md. Mahamudul Hasan Zubayer, Prof. Abdul Kadar Muhammad Masum, PhD., Prof. Dewan Md. Farid, PhD.
๐น 3. Scalable K-Nearest Neighbors Classification for Mining Big Data
Authors: Abdullah Rahman, Sumaiya Rahman Liza, Prof. Abdul Kadar Muhammad Masum, PhD., Prof. Dewan Md. Farid, PhD.
๐น 4. A Binary Insomnia Disease Classification Approach with Feature Optimization and Explainable AI Insights
Authors: Abdullah Rahman, Md. Shohel Babu, Sakib Mahmud, Mahbub Hasan.
๐น 5. Bangladeshi Leafy Vegetables Classification using Transfer Learning
Authors: Mahamudur Rahaman, Fardin Faruk, Prof. Abdul Kadar Muhammad Masum, PhD., Prof. Dewan Md. Farid, PhD.
๐น 6. Structured Reasoning with Tree-of-Thoughts for Bengali Math Word Problems
Authors: Md. Abdul Hadi, Neloy Kumer Sagor, Shehab Al Islam, Sabrin Alom.
Supervised by: Bidyarthi Paul.
๐น 7. Comparative Study of LLMs and Transformers for Bangla Healthcare Paraphrasing
Authors: Shorif Uddin, Rayhan Meheraj, Azizul Hakim Fayaz.This paper has been supervised by Bidyarthi Paul.
๐น 8. Mel-XNet: A Dual-Architecture Ensemble for High-Accuracy Melanoma Detection with Integrated Explainablity
Authors: Sourav Das, Mehedi Hassan Bappy, Fatema Rahman Niha, Sudip Sarkar.
๐น 9. A Novel Hybrid Feature Selection and Ensemble Learning Approach for Mortality Risk Classification in Hepatitis B Patients: An Explainable AI Study
Authors: Zubayer Ahmad Shibly, Inamul Haque Inam, Dr. Md. Maruf Hassan, Prof. Abdul Kadar Muhammad Masum, PhD, Khandaker Mohammad Mohi Uddin.
๐น 10. Explainable AI-Driven Ensemble Learning Framework for PCOS Diagnosis Using AIM-PDCF and QuantumGraphRFE Feature Selection
Authors: Inamul Haque Inam, Zubayer Ahmad Shibly.
Supervised by: Khandaker Mohammad Mohi Uddin.
๐น 11. MalariaNet-XAI: An Explainable Deep Ensemble Framework for Accurate Malaria Detection
Authors: Md. Abdur Rahman, Najmus Saadat.
Supervised by: Khandaker Mohammad Mohi Uddin.
๐น 12. X-ArsenicDistill: An Efficient and Interpretable Framework for Arsenicosis Classification via Knowledge Distillation
Authors: Md. Abdur Rahman, Tofael Ahmed.
Supervised by: Prof. Abdul Kadar Muhammad Masum, PhD.
๐น 13. SentimentFusion-Net: A Hybrid ML-DL Framework for Benchmarking ChatGPT User Opinions on Twitter
Authors: Tofael Ahmed, Md. Abdur Rahman.
Supervised by: Prof. Abdul Kadar Muhammad Masum, PhD.
๐น 14. Hybrid Vision Transformer Framework for Brain Tumor Detection and Classification
Authors: Md Naymur Rohman, Md Rakibul Hasan Efty, Prof. Abdul Kadar Muhammad Masum, PhD., Khandaker Mohammad Mohi Uddin.
๐น 15. DuoNetFusion: A Decision-level Soft Voting Ensemble of ResNet50 and AlexNet for Heart Disease Classification from ECG Image
Authors: Mahmud, Sheikh Rayhan, Amiya.
Supervised by: Md Mijanur Rahman.
๐น 16. ChronicRiskNet-XAI: A Hybrid Deep Learning and Machine Learning with Explainable AI for Diabetics and Hypertension Prediction
Authors: Mamunur Rashid Alex.
Supervised by: Mahbubul Haq Bhuiyan.
๐น 17. An Integrated Transformer-Based Framework for Multi-label Bengali News Classification with Explainable AI and Abstractive Summarization
Authors: Mamunur Rashid Alex.
Supervised by: Mahbubul Haq Bhuiyan.
๐น 18. Explainable Deep Learning for Bone Marrow Cell Classification Using EfficientNet-B0 and Grad-CAM
Authors: Khandaker Mohammad Mohi Uddin, Dr. Mohammed Ashikur Rahman, Prof. Abdul Kadar Muhammad Masum, PhD.
๐น 19. A Hybrid Framework Combining Machine Learning and Deep Learning for Intelligent Loan Approval Prediction
Authors: Khandaker Mohammad Mohi Uddin.
And many more.
๐ This marks a strong commitment to the research capabilities of the students of CSE and the faculty members of Southeast University. A large pool of students will be joining the conference in Cox's Bazar, and multiple session chairs from our department will also be contributing to this esteemed conference. We wish everyone our sincere gratitude for their efforts and dedication.
