01Scientific Reports, Q1 JournalUnder review
Federated Fine-Tuning Frameworks for Privacy-Preserving Distributed Large Language Intelligence
Md. Ashiq Ul Islam Sajid, et al.
02IEEE Xplore, FranceNov 2024
Optimizing Multimodal Transformers for Medical Image Captioning: Enhancing Automated Descriptions via AI Systems
Md. Ashiq Ul Islam Sajid, et al.
03ICAII, Washington, DC, USAOct 2025
Vertical AI for Kidney Stone Detection: Knowledge-Distilled CNNs with Student-Teacher Model for Ultrasound Imaging
Md. Ashiq Ul Islam Sajid, et al.
04ICMLA, Boca Raton, FL, USANov 2025
XAI-PredictFare: Comparative Flight Fare Prediction using Machine Learning Models with Dual Explainability through LIME and SHAP
Md. Ashiq Ul Islam Sajid, et al.
05Springer, AustraliaOct 2024
Enhancing User Experience by Tackling the Cold Start Challenge in Product Recommendation System
Md. Ashiq Ul Islam Sajid, et al.
06IEEE, BahrainMar 2025
BitRL: Reinforcement Learning with 1-bit Quantized Language Models for Resource-Constrained Edge Deployment
Md. Ashiq Ul Islam Sajid, et al.
07Springer, TaiwanNov 2024
Augmented 3D U-Net Architecture for Accurate Multimodal MRI Brain Tumor Segmentation
Md. Ashiq Ul Islam Sajid, et al.
08Springer, TaiwanNov 2024
Enhanced Calorie Estimation of Solid Foods using Federated Learning and YOLO Models: A Distributed Approach for Collaborative Caloric Data Analysis
Md. Ashiq Ul Islam Sajid, et al.
09ICITS, USAJan 2025
A Dual-Mode LLM Framework for Medical and General Language Translation for Breaking Barriers in Healthcare Communication
Md. Ashiq Ul Islam Sajid, et al.
10ISDFS, USAJan 2025
Customer Personality Analysis using Machine Learning with Explainable AI
Md. Ashiq Ul Islam Sajid, et al.
11ICMI, USAMar 2025
A Hybrid Attention-Guided Fusion Network with Grad-CAM for MPox Skin Lesion Classification
Md. Ashiq Ul Islam Sajid, et al.
12ICOCT, ChinaMar 2025
Advancing Sentiment Analysis: Fine-Tuning LLMs and Traditional Machine Learning Models for Noisy Bangla Texts
Md. Ashiq Ul Islam Sajid, et al.
13AHTBE, CanadaJun 2025
MedViT-HoVer++ (ViT): A Unified Transformer-Guided Framework for Multitask Nucleus Segmentation, Classification, and Count Regression in Histopathology Images
Md. Ashiq Ul Islam Sajid, et al.
14ACM, BangladeshNov 2024
Optimized Malaria Identification through Transfer Learning Approach
Md. Ashiq Ul Islam Sajid, et al.