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Departmental Research

Publications and research contributions from our faculty members

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Statistics Dashboard

448
Total Publications
5400
Total Citations
13.58
Avg. Publications per Faculty
Per contributing faculty
174.2
Avg. Citations per Faculty
Full-time active faculty
33
Contributing Faculty

Detailed Ranking Breakdown

Q1
48
Impact: 480
Q2
25
Impact: 175
Q3
33
Impact: 165
Q4
39
Impact: 117
A*
2
Impact: 16
WoS/Scopus Indexed
51
Impact: 102
Not Indexed
250
Impact: 250

Publications by Ranking

Publications by Type

Publications Over Time

Faculty Impact

All Publications

Title Year Type Ranking Faculty Action
Preserving medical information from doctor’s prescription ensuring relation among the terminology 2025 None Q1 Prof. Dr. Bilkis Jamal Ferdosi
Privacy Preserving Federated Random Forest Approach for Human Activity Recognition 2025 Conference WoS/Scopus Indexed Read Paper
Privacy-Preserving Kidney Stone Detection from X-Ray Image Using Federated Learning 2025 Book Chapter Q4 Jayonto Dutta Plabon Read Paper
Privacy-Preserving Rheumatism Detection Using Federated Learning 2025 Book Chapter Q4 Read Paper
Secure Collaborative Learning for CSV-Based Ovarian Cancer Diagnosis: A Federated Approach 2025 None Q4
Sign3DNet: An Enhanced 3D CNN Architecture for Bengali WordLevel Sign Language Recognition. 2025 Journal Q3 Rashik Rahman
SpiceSpectrum: Class-balanced dataset of commercially valuable spice cultivars 2025 Journal Q2
Tanmoy Mazumder, Fariha Nusrat, Abu Bakar Siddique Mahi, Jolekha Begum Brishty, Rashik Rahman, Tanjina Helaly, Automated and efficient Bangla signboard detection, text extraction, and novel categorization method for underrepresented languages in smart cities 2025 Journal Q1 Tanjina Helaly Read Paper
TH Safi Ullah Chowdhury, Nasima Begum 2025 None Q3 Prof. Dr. Nasima Begum
Towards Designing a Medication Assistive Intelligent System with Automated Insulin-dose Prediction for Elderlies 2025 None Not Indexed Dr. Muhammad Towfiqur Rahman
Transforming Healthcare Analytics: Federated Learning for Privacy-Preserving Liver Lesion Detection and Classification 2025 Book Chapter Q4 Read Paper
10. A Lightweight Quantized Model for Dynamic Banana Disease Recognition. 2024 None Not Indexed Prof. Dr. Aloke Kumar Saha
11. A comprehensive approach to detecting chemical adulteration in fruits using computer vision, deep learning, and chemical sensors. 2024 None Q1 Prof. Dr. Aloke Kumar Saha
12. Explainable federated learning for privacy-preserving bangla sign language detection”, Engineering Applications of Artificial Intelligence 2024 None Q1 Prof. Dr. Aloke Kumar Saha
4. Modeling Nuclear Fusion Reaction Occurrence with Advanced Deep Learning Techniques: Insights from LIME and SMOTE. 2024 None Not Indexed Prof. Dr. Aloke Kumar Saha
5. Exploring Feature Selection Techniques in Predicting Indian Household Electricity Consumption. 2024 None Not Indexed Prof. Dr. Aloke Kumar Saha
6. A benchmark video dataset for fall detection. 2024 None Not Indexed Prof. Dr. Aloke Kumar Saha
7. Descriptor: Multilingual Visual Font Recognition Dataset. 2024 None Not Indexed Prof. Dr. Aloke Kumar Saha
8. Modeling of 5G-Enabled Hybrid Visible Light Communication Systems for Autonomous Vehicles. 2024 None Not Indexed Prof. Dr. Aloke Kumar Saha
A Comparative Analysis of Brain Atlases and DNN-Based Autism Spectrum Disorder Detection Using IMPAC Dataset 2024 Conference Not Indexed Molla Rashied Hussein
A double-difference Doppler shift-based positioning framework with ephemeris error correction of LEO satellites 2024 Journal Q1 Md. Shafiqul Islam, Ph.D.
A lightweight quantized CNN model for plant disease recognition 2024 Journal Q1 Rashik Rahman
A lightweight visual font style recognition with quantized convolutional autoencoder 2024 Journal Q1 Rashik Rahman
A robust deep feature extraction method for human activity recognition using a wavelet based spectral visualisation technique 2024 Journal Q1 Nadeem Ahmed
Advancing Cancer Diagnosis with LungColonGuard: A Deep Learning Framework For Lung and Colon Cancer Detection From Histopathological Image 2024 None Q4 Prof. Dr. Shah Murtaza Rashid Al Masud