About me

I am currently a researcher at the Visual Graphics and Computing Lab under the supervision of Professor Joon-Min Gil at Jeju National University, South Korea. I hold a Master’s degree in Computer Engineering from Chosun University, South Korea, and am also employed as a Graduate Research Assistant at the Computer Vision Lab of Chosun University. My research interests lie at the intersection of Deep Neural Network (DNN) modeling, inverse problems, and generative artificial intelligence (AI). Through my work, I aim to explore innovative solutions in these domains, contributing to the advancement of both theoretical and applied AI techniques. - My resreach interests include 2D and 3D Computer Vision .

Resume

Publications and Preprints

  1. STAM Zero-shot Style Transfer using Diffusion Model via Attention Modulation

    CVPR 2025

  2. CasF A cascaded feature fusion CNN for fingerprint liveness detection

    Under review

  3. Multi-stage Inference Strategy for Self-supervised Denoising

    Master Thesis

  4. Rethinking Gradient Weight’s Influence over Saliency Map Estimation

    Masud An Nur Islam Fahim, Nazmus Saqib , Shafkat Khan Siam, Ho Yub Jung
    Sensors, journal volume 22, number 17, page 6516, 2022.

  5. Denoising Single Images by Feature Ensemble Revisited

    Masud An Nur Islam Fahim, Nazmus Saqib , Shafkat Khan Siam, Ho Yub Jung
    Sensors, journal volume 22, number 18, page 7080, 2022.

  6. Semi-supervised atmospheric component learning in low-light image problem

    Masud An Nur Islam Fahim, Nazmus Saqib , Ho Yub Jung
    PLoS ONE 18(3), e0282674. https://doi.org/10.1371/journal.pone.0282674

  7. An Improved Adaptive Optimization Technique for Image Classification

    Nazmus Saqib , Fatema Tuz Zohra
    in2020 Joint 9th International Conference on Informatics, Electronics & Vision (ICIEV) and 2020 4th International Conference on Imaging, Vision & Pattern Recognition (icIVPR) IEEE, 2020, pages 1–6.53

  8. Image Classification using DNN with an Improved Optimizer

    Nazmus Saqib , G.M. Rafiquzzaman
    2020 IEEE Region 10 Symposium (TENSYMP), 31-35.

Skills

  1. Programming Language

    C++, Python

  2. Frameworks

    PyTorch, Keras-Tensorflow.

  3. Others

    Latex, Word, Excel.

Projects

  1. Face recognition project

    A face detection and recognition project on C++ language

  2. Fingerprint project

    LivDet competetion of fingerprint spoof detection

Education

  1. Chosun University, Gwangju, South Korea.

    2021-2022

    Masters in Computer Engineering.

  2. Khulna University of Engineering & Technology (KUET), Khulna, Bangladesh.

    2012 - 2018

    Bachelor of Science in Electronics & Communication Engineering.