Research Publications
FAA-Net: Focal-Aware Attention for Class-Imbalanced Network Intrusion Detection
Md Arif Faysal Nayem, Md. Abdur Rahman
IEEE Access, 2025
Abstract
Deep learning models for network intrusion detection struggle with rare attack types due to class imbalance. FAA-Net introduces Focal-Aware Attention (FAIIA), which embeds imbalance awareness directly into attention computation using learnable attack-class prototypes. Achieves 94.95% recall with only 128K parameters — suitable for edge deployment.
Explainable Parkinson's Disease Detection from Dysarthric Speech: A Dual-Stage Framework using Burg-Based Signal Restoration and Vision Transformers
Md Arif Faysal Nayem, Md. Ohidujjaman
IEEE Access / Biomedical Signal Processing and Control (Elsevier), 2026
Abstract
Current AI models for diagnosing Parkinson's from speech discard the very vocal irregularities that carry diagnostic value. We propose a signal-first approach using Burg-based restoration to preserve these biomarkers, then classify via Vision Transformers with Grad-CAM explainability for clinical trust.
TritonZ: A Remotely Operated Underwater Rover with Manipulator Arm for Exploration and Rescue Operations
Kawser Ahmed, Mir Shahriar Fardin, Md Arif Faysal Nayem, Fahim Hafiz, Swakkhar Shatabda
27th International Conference on Computer and Information Technology (ICCIT), 2024
Abstract
TritonZ is a remotely operated underwater rover with a manipulator arm for exploration and rescue. Integrates real-time video streaming, advanced navigation, and precise control for challenging aquatic environments.