D2D-LoRa Latency Analysis: An Indoor Application Perspective. - Nazmus Saqib; Khandaker Foysal Haque; Kumar Yelamarthi; Prasanath Yanambaka; Ahmed Abdelgawad 001 (WF-IoT, 2021)

An Experimental Analysis on the Sensitivity of the Most Widely Used Edge Detection Methods to Different Noise Types. - Md. Nishat Raihan; Noshin Ulfat; Nazmus Saqib (ICCA, 2022)

Convolutional-Neural-Network-Based Handwritten Character Recognition: An Approach with Massive Multisource Data. - Nazmus Saqib; Khandaker Foysal Haque; Venkata Prasanth Yanambaka; Ahmed Abdelgawad 001 (Algorithms, 2022)

Semi-supervised atmospheric component learning in low-light image problem. - Masud An Nur Islam Fahim; Nazmus Saqib; Ho Yub Jung (CoRR, 2022)

Rethinking gradient weights' influence over saliency map estimation. - Masud An Nur Islam Fahim; Nazmus Saqib; Shafkat Khan Siam; Ho Yub Jung (CoRR, 2022)

Rethinking Gradient Weight's Influence over Saliency Map Estimation. - Masud An Nur Islam Fahim; Nazmus Saqib; Shafkat Khan Siam; Ho Yub Jung (Sensors, 2022)

Denoising Single Images by Feature Ensemble Revisited. - Masud An Nur Islam Fahim; Nazmus Saqib; Shafkat Khan Siam; Ho Yub Jung (Sensors, 2022)

Cyber Attack Impact Characterization for IEC 61850-based Substations. - Nazmus Saqib; Souradeep Bhattacharya; Burhan Hyder; Manimaran Govindarasu (IECON, 2024)

STAM: Zero-Shot Style Transfer using Diffusion Model via Attention Modulation. - Masud An Nur Islam Fahim; Nazmus Saqib; Jani Boutellier (CVPR Workshops, 2025)