Loading Research Data
Departmental Research
Publications and research contributions from our faculty members
How these statistics work
Publication statistics include all current faculty members. Faculty rankings and featured researchers show full-time faculty only. Only UAP-affiliated publications are counted. Duplicates are filtered by title to ensure co-authored papers are counted once.
Research Impact Calculation
Points per publication ranking:
| Ranking | Points |
|---|---|
| Q1 | 10 |
| Q2 | 7 |
| Q3 | 5 |
| Q4 | 3 |
| A* | 8 |
| A | 6 |
| B | 4 |
| C | 2 |
| WOS/Scopus | 2 |
| Not Indexed | 1 |
How it works: Total impact = sum of points from all publications in the selected period.
Statistics Metrics
- Total Publications: Unique UAP-affiliated publications, deduplicated by title. Co-authored papers counted once.
- Total Citations: Times faculty publications have been cited. Full-time active faculty only, from Google Scholar.
- Avg. Publications per Faculty: Total Publications ÷ Contributing Faculty (any faculty with ≥1 UAP publication).
- Avg. Citations per Faculty: Total Citations ÷ Full-time active faculty with publications.
- Contributing Faculty: Faculty with ≥1 UAP-affiliated publication. Counted once regardless of publication count.
Faculty Impact Tabs
- All Faculties: All faculty with impact & citation counts. Top 4 in any category get badges.
- Most Cited: Sorted by total citations. Top 4 highlighted.
- Cited by Position: Grouped by position. Most cited per position gets trophy badge.
- Leading Active: Most active (last 2 years). Impact: Q1(10), Q2(7), Q3(5), Q4(3), A*(8), A(6), B(4), C(2), WOS(2), Not Indexed(1). Top 4 highlighted.
- Active by Position: Grouped by position. Most active per position gets fire badge.
Statistics Dashboard
403
Total Publications
6392
Total Citations
11.85
Avg. Publications per Faculty
Per contributing faculty
236.7
Avg. Citations per Faculty
Full-time active faculty
34
Contributing Faculty
Detailed Ranking Breakdown
Q1
46
Impact: 460
Q2
21
Impact: 147
Q3
29
Impact: 145
Q4
31
Impact: 93
A
2
Impact: 12
WoS/Scopus Indexed
82
Impact: 164
Not Indexed
192
Impact: 192
Publications by Ranking
Publications by Type
Publications Over Time
Contributors — All Time
Faculty with UAP-affiliated publications and their paper counts.
Prof. Dr. Aloke Kumar Saha
Dr. Muhammad Towfiqur Rahman
Prof. Dr. Shah Murtaza Rashid Al Masud
Dr. Md. Rashedul Islam
Rashik Rahman
Molla Rashied Hussein
Prof. Dr. Nasima Begum
Tanjina Helaly
Prof. Dr. Bilkis Jamal Ferdosi
Dr. Subhra Prosun Paul
Md. Shafiqul Islam, Ph.D.
Nadeem Ahmed
A S Zaforullah Momtaz
Durjoy Mistry
Tahira Alam
Tasnim Jahin Mowla
Bidita Sarkar Diba
Jayonto Dutta Plabon
Dr. Homeyra Akter
Noor Mairukh Khan Arnob
Asma Mariam
Md. Shahidul Islam
Nakiba Nuren Rahman
Shammi Akhtar
Fabliha Haque
Baivab Das
Faria Zarin Subah
Md Mubtasim Fuad
Nuzhat Tabassum Progga
Zaima Sartaj Taheri
Md. Mahedi Hassan
Nayeema Sultana
Md. Abu Sayem
Sadia Jahangir Safa
Faculty Impact
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All Publications
| Title | Year | Type | Ranking | Faculty | Action |
|---|---|---|---|---|---|
| A comprehensive approach to detecting chemical adulteration in fruits using computer vision, deep learning, and chemical sensors | 2024 | Journal | Q1 | Prof. Dr. Aloke Kumar Saha | Read Paper |
| 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 | — |
| Advancing Cancer Diagnosis with LungColonGuard: A Deep Learning Framework For Lung and Colon Cancer Detection From Histopathological Image. In: Mylonas, P., Kardaras, D., Caro, J. (eds) Novel and Intelligent Digital Systems: Proceedings of the 4th International Conference (NiDS 2024) | 2024 | None | Not Indexed | Prof. Dr. Aloke Kumar Saha | Read Paper |
| An Automated Floor Cleaner Robot for Domestic and Industrial Applications | 2024 | Conference | Not Indexed | Molla Rashied Hussein | — |
| An efficient convolutional neural network for pneumonia recognition from chest X-ray images. | 2024 | Conference | WoS/Scopus Indexed | Tanjina Helaly | — |
| An explainable AI-based modified YOLOv8 model for efficient fire detection | 2024 | Journal | Q2 | Read Paper | |
| An IoT enabled Artifact Protection System for Museum using Computer Vision | 2024 | Journal | Not Indexed | Molla Rashied Hussein | — |
| ASM Mohsin | 2024 | None | Not Indexed | Md. Abu Sayem | — |
| Bayesian and Genetic Optimization for Human Activity Recognition with CNN and LSTM | 2024 | Conference | WoS/Scopus Indexed | Read Paper | |
| Computer vision based deep learning approach for toxic and harmful substances detection in fruits | 2024 | Journal | Q1 | Prof. Dr. Aloke Kumar Saha | Read Paper |
| Daily Life Conversation in Bangla Sign Language Using Machine Learning Technique | 2024 | Conference | Not Indexed | Molla Rashied Hussein | — |
| Design and Performance Analysis of Underwater Light Communication System. | 2024 | Journal | Q4 | Dr. Muhammad Towfiqur Rahman | — |
| Designing Optimal Parameters for Single-Axis Solar-Tracker through Analysis of Sun-Path and Tracking Vector Dynamics | 2024 | Conference | WoS/Scopus Indexed | Dr. Muhammad Towfiqur Rahman | — |
| E-Financial Sentinel: Navigating India's Digital Transaction Landscape | 2024 | None | Not Indexed | Dr. Subhra Prosun Paul | — |
| Enhancing autism spectrum disorder classification with lightweight quantized cnns and federated learning on abide-1 dataset | 2024 | Journal | Q2 | Rashik Rahman | — |
| Enhancing Autism Spectrum Disorder Diagnosis through a Novel 1D CNN-Based Deep Learning Classifier | 2024 | Conference | Not Indexed | Rashik Rahman | — |
| Enhancing autism spectrum disorder diagnosis through a novel 1D CNN-based deep learning classifier. | 2024 | Conference | WoS/Scopus Indexed | Tanjina Helaly | — |
| Ensemble Learning Based Ventilator-Associated Pneumonia Prediction Within 24 Hours | 2024 | Conference | WoS/Scopus Indexed | Dr. Muhammad Towfiqur Rahman | — |
| EpiNet: A Hybrid Machine Learning Model for Epileptic Seizure Prediction using EEG Signals from a 500 Patient Dataset | 2024 | Journal | Q3 | Prof. Dr. Nasima Begum | Read Paper |
| Evaluation of Spectrum Sliced-FSO Communication System Incorporating Different Modulation Schemes | 2024 | Conference | WoS/Scopus Indexed | — | |
| Explainable federated learning for privacy-preserving bangla sign language detection | 2024 | Journal | Q1 | — |