Siam Tahsin Bhuiyan, Rashedur Rahman, Sefatul Wasi, Halima Khatun, Ashraful Islam, AKM Mahbubur Rahman, Saadia Binte Alam, M Ashraful Amin

PelviNeXt: A Modality-Agnostic Hybrid Network for Pelvic Imaging in Women's Health

arXiv (Cornell University), 2026

• perceptual hashing
• pelvic radiography
• multi-scale feature fusion
• polycystic ovary syndrome
• channel and spatial attention
• pelvic fractures
• pelvic ultrasound
• multi-head self-attention

• SDG 3Good Health and Well-being
• SDG 5Gender Equality

Siam Tahsin Bhuiyan, Rashedur Rahman, Sefatul Wasi, Halima Khatun, Manosh Sur Chowdhury, Riyadul Islam, Samiul Karim Mazumder, Naomi Yagi, Syoji Kobashi, Saadia Binte Alam

Beyond the pelvic ring: benchmarking multi-bone segmentation for ROI-Guided fracture detection

Scientific Reports 16(1), pp. 24508, 2026

• pelvic fractures
• Grad-CAM interpretability
• automated fracture detection
• pelvic radiography

• SDG 3Good Health and Well-being

Siam Tahsin Bhuiyan, Rashedur Rahman, Sefatul Wasi, Riyadul Islam, Syoji Kobashi, Ashraful Islam, Saadia Binte Alam

SecondOpinion: Anatomy-Aware Gated Reasoning for Efficient Medical Image Analysis

arXiv (Cornell University), 2026

• cross-attention fusion
• chest X-ray classification
• dual-stream architecture
• gating mechanism
• task difficulty
• confidence calibration

• SDG 3Good Health and Well-being

Md Shaheenur Islam Sumon, Muhammad EH Chowdhury, Saadia Binte Alam, Rashedur Rahman, Hadil Aldhubiea, Serkan Kiranyaz, Shahjada Selim, Raihan Anwar, Rashad Alfkey, Samir Fazal Manam, Md Mezbah Ahmed Mahedi, Tahmid Zaman Raad

Accurate Diabetic Foot Ulcer Segmentation: A Human-Machine Collaborative Approach with EfficientNet and Self-ONN FPN

Cognitive Computation 18(1), pp. 90, 2026

• Diabetic foot ulcer
• EfficientNetB3
• computer-aided diagnosis
• ground truth annotation
• human-machine collaboration
• staples

• SDG 3Good Health and Well-being

Dipto Das, Achhiya Sultana, Ankit Singh Chauhan, Saadia Binte Alam, Mohammad Shidujaman, Shion Guha, Sunandan Chakraborty, Syed Ishtiaque Ahmed

Mod-Guide: An LLM-based Content Moderation Feedback System to Address Insensitive Speech toward Indigenous Ethnic and Religious Minority Communities

arXiv preprint arXiv:2606.13397, pp. 395-408, 2026

• content moderation
• religious minorities
• retrieval-augmented generation
• restorative justice
• large language models
• AI ethics
• Chakma people
• Bangladesh
• indigenous peoples
• limits of knowledge

• SDG 10Reduced Inequalities
• SDG 16Peace, Justice and Strong Institutions

Abu Tyeb Azad, Fahim Ahmed, Ishita Sur Apan, Ezharuddin Jubaer, Sumaiya Karim Katha, Armun Alam, Amin Ahsan Ali, Aman Chadha, Md Mofijul Islam, AKM Mahbubur Rahman

Khondo: A Multimodal Benchmark for Document Packet Splitting of Bangla Forms

arXiv (Cornell University), 2026

• multimodal benchmark
• vision-language models
• document segmentation
• document clustering
• administrative documents

Siam Tahsin Bhuiyan, Rashedur Rahman, Ashraful Islam

Benchmarking CNN Architectures Using Transfer Learning for Lipomatous Tumor Classification: A Comprehensive Study

Advances and Trends in Artificial Intelligence. Theory and Applications: 39th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2026, Kuala Lumpur, Malaysia, July 6-8, 2026, Proceedings, Part II, pp. 171, 2026

In: Advances and Trends in Artificial Intelligence. Theory and Applications

• well-differentiated liposarcoma
• DenseNet121
• transfer learning
• InceptionV3
• T1-weighted imaging
• ResNet50
• EfficientNetB3
• MobileNetV2
• benign lipoma
• false positive rate

• SDG 3Good Health and Well-being

Istiaq Ahmed, Faiza Omar Arpita, Md Asif Bin Khaled, Ashraful Islam, M Ashraful Amin

Can Small LLMs Replace Fine-Tuned BERT for Bangla Natural Language Inference?

2026 Third International Conference on Innovations in Cybersecurity and Data Science (ICICDS), pp. 853-859, 2026

• small language models
• Bengali language
• natural language inference
• fine-tuned BERT
• multilingual language models

Mustaqueem Alam, J. M. Sadik-Ul Islam Smaron, Rashedur Rahman, Md Asif Bin Khaled, Ashraful Islam, M. Ashraful Amin

Evaluating the Impact of Image Preprocessing on Deep Learning-Based Fetal Ultrasound Classification Under Class Imbalance

2026 Third International Conference on Innovations in Cybersecurity and Data Science (ICICDS), pp. 128-135, 2026

• image preprocessing
• class imbalance
• deep learning classification
• prenatal ultrasound
• medical image classification
• prenatal diagnosis

• SDG 3Good Health and Well-being

Aldrin Kabya Biswas, Md Fahim, Md Tahmid Hasan Fuad, Akm Moshiur Rahman Mazumder, Amin Ahsan Ali, AKM Mahbubur Rahman

Training-free layer selection for partial fine-tuning of language models

Information Sciences 740, pp. 123204, 2026

• partial fine-tuning
• domain generalization
• pre-trained language models
• text generation
• layer selection
• parameter-efficient fine-tuning
• sentence classification
• transformer layers

Siam Tahsin Bhuiyan, Zayan Zaman, Rashedur Rahman, Manosh Sur Choudhury, Sefatul Wasi, Ashraful Islam, Saadia Binte Alam, Syoji Kobashi

CheXNet-CBAM: Enhancing Large-scale Medical Pre-training with Attention for Lung Disease Diagnosis

2026 IEEE 56th International Symposium on Multiple-Valued Logic (ISMVL), pp. 105-110, 2026

• CBAM
• CheXNet
• DenseNet121
• lung disease classification
• Grad-CAM
• chest radiography
• computer-aided diagnosis
• multi-class classification
• attention mechanism

• SDG 3Good Health and Well-being

Farzana Islam, Ashraful Islam, M Ashraful Amin, Moinul Zaber

A proposed participatory framework for explainable AI in mHealth: Mixed methods study integrating user and stakeholder requirements

Journal of Medical Internet Research 28, pp. e87158, 2026

• Explainable AI
• clinical validation
• South Asia
• stakeholder needs
• human-AI collaboration
• Bangladesh
• resource-limited settings
• mobile health
• trust in AI
• participatory approach

• SDG 3Good Health and Well-being
• SDG 10Reduced Inequalities

Aldrin Kabya Biswas, Md Fahim, Md Ashraful Amin, Amin Ahsan Ali, AKM Mahbubur Rahman

PRiSM: Partial Ranking via Inter-layer Semantic Measurement for Efficient Fine-tuning of Language Models

Proceedings of the Fifteenth Language Resources and Evaluation Conference (LREC 2026) 11(16), pp. 10313-10323, 2026

• partial rankings
• language model fine-tuning
• efficient fine-tuning
• Semantic similarity

Md Shakil Ahmed, Shohan Islam Joy, Nabarun Halder, Ashraful Islam, Sanzar Adnan Alam

Decentralizing Reputation Scoring Using Blockchain Behavioral Data and Machine Learning

2026 International Conference on Artificial Intelligence, Systems, and Emerging Technologies (ICAISET), pp. 1-6, 2026

• behavioral data
• Blockchain
• Machine learning
• reputation scoring
• decentralization
• reputation systems

Ayesha Siddika, Ahnaf Atif Rafi, Maria Jahan Noon, Md Junayed Hossain, Ashraful Islam, Sanzar Adnan Alam

The Hidden Complexity of Mental Health: Multi-Entropy Analysis of Response Patterns in Depression Severity Assessment

2026 International Conference on Artificial Intelligence, Systems, and Emerging Technologies (ICAISET), pp. 1-6, 2026

• permutation entropy
• multiscale entropy
• sample entropy
• PHQ-9
• Shannon entropy
• depression severity
• depression screening
• response patterns
• entropy features
• digital mental health

• SDG 3Good Health and Well-being

Atif Iqbal, Mohammed Raiyan Nur Hridoy, Ilma Hossain Mim, Riyadul Islam, Siam Tahsin Bhuiyan, Sefatul Wasi, Farhana Sarkar, Saadia Binte Alam

A Morphology-Aware Preprocessing Pipeline for Improved Glioblastoma Segmentation in Brain MRI Using Hybrid Segformer

2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN), pp. 1-6, 2026

• Glioblastoma
• brain tumor segmentation
• SegFormer
• EfficientNetB3
• Magnetic resonance imaging
• encoder comparison

• SDG 3Good Health and Well-being

Afzal Hossain Alif, Mojtoba Zaman Mantaka, Aiman Saad Hamid, Saadia Binte Alam

Efficient Multi-Class Thoracic Disease Detection on VinDr-CXR Using YOLOv12 with Class-Balanced Training and Anatomical TTA

2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN), pp. 1-6, 2026

• thoracic disease detection
• bilateral symmetry
• YOLOv12
• chest radiography
• lesion localization

• SDG 3Good Health and Well-being

Md Yousuf, Abbas Yasin, Muaaz Mohammad, Fatin Israq, Siam Tahsin Bhuiyan, Rashedur Rahman, Saadia Binte Alam, Ashraful Islam

Deep Learning Framework for Automated Pulmonary Nodule Identification and Anatomical Segmentation in Thoracic CT Scans

2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN), pp. 1-6, 2026

• chest CT
• lung nodule detection
• U-Net
• LUNA16 dataset
• low-dose CT screening
• encoder-decoder architecture
• lung segmentation

• SDG 3Good Health and Well-being

Istiaq Ahmed, Faiza Omar Arpita, Ashraful Islam, Rashedur Rahman, M Ashraful Amin

Comparative Analysis of Digital Food Ecosystems in Bangladesh: Commercial Platforms versus F-Commerce

Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems, pp. 1-8, 2026

• food justice
• food sovereignty
• local agriculture
• women entrepreneurs
• food delivery apps
• culinary heritage
• class hierarchy
• Food security
• community food systems
• Bangladesh

• SDG 2Zero Hunger
• SDG 10Reduced Inequalities
• SDG 5Gender Equality

Amin Masud Ali, Muntasir Wahed, Amin Ahsan Ali, Moinul Zaber

Capturing the spatiotemporal inequality in electricity consumption at the subnational level of Bangladesh using nighttime lights

Journal of the Asia Pacific Economy 31(2), pp. 397-426, 2026

• VIIRS Day/Night Band
• electricity consumption
• built-up area density
• nighttime lights
• rural electrification
• urban-rural divide
• subnational inequality
• Bangladesh

• SDG 10Reduced Inequalities
• SDG 7Affordable and Clean Energy