Ijaz

Ijaz

Postdoctoral Researcher @ Korea Univ.

About me

  • I am a researcher with substantial experience in designing and implementing AI-based computer vision solutions for a wide range of applications. Throughout the years, I have developed capabilities to undertake research from conception to write-up and disseminate my findings in journals and conferences. My work has received recognition awards in national and international conferences.

    Currently, I am a postdoctoral researcher at Korea University, Seoul, Korea, where I am a part of the AI and Mobility (AIM) Laboratory under the supervision of Prof. Joongheon Kim. I am also a visiting researcher with the Wireless Communication and Networking (WHYNET LAB) Lab at Chosun University, Gwangju, Korea. I have received M.S. (2018) and Ph.D. (2023) degrees in computer engineering from Chosun Univ., Korea under the supervision of Prof. Seokjoo Shin.

    My research interests are in privacy preservation during data transmission – in transit, data storage – at rest, and computation – in use. The scope of my research spans across multiple fields, from image encryption to computer vision, including Machine Learning (ML) in the image analysis domain.

    The topic of my ongoing research is Secure Computing..

    Keywords: Privacy-Preserving Deep Learning, Image Compression, Image Encryption, Image Communication, Image Retrieval, and Federated Learning.


Recent & Selected Publications

Journals

  • JUST ACCEPTED
    I. Ahmad, J. Kim, and S. Shin, "USD2C: UAV-Assisted Secure Data Collection and Computation Framework for Internet of Multimedia Things (IoMT) Applications", in IEEE Internet of Things Journal.

Under Review & In Progress

  • I. Ahmad, J. Kim, and S. Shin, "On the Security of Permutation-under-Point-wise Transformation Image Encryption Schemes", in IEEE Transactions on Information Forensics and Security. (Under review)
  • I. Ahmad, J. Kim, and S. Shin, "Secure MedViT: A Robust Privacy-Preserving Framework for Medical Image Analysis via Perceptual Encryption and Vision Transformers", in IEEE Transactions on Dependable and Secure Computing. (Under review)
  • I. Ahmad, J. Kim, and S. Shin, "Privacy-Preserving Archiving and Analysis Scheme for IoMT Applications using 2D Chaos", in IEEE Transactions on Mobile Computing. (Revision submitted)
  • M.S. Uzzal, I. Ahmad, and S. Shin, "Deployment-Oriented Unified Evaluation Framework for Secure Content-based Image Retrieval", in Elsevier Journal of Network and Computer Applications. (Under review)
  • A.A. Mahbub, I. Ahmad, and S. Shin, "Joint Hyperparameter Optimization and Low-Rank Compression of Deep Residual Networks for SNR estimation", in IEEE Access. (Under review)
  • G. Saadloonia, I. Ahmad, and S. Shin, "Heterogeneity-Aware Federated Learning: A Quantitative Survey on Aggregation Paradigms in Non-IID IoT Networks", in IEEE Access. (Under review)

Published Articles

  • M.S. Uzzal*, I. Ahmad* and S. Shin, "SCBIR-PE: Secure Content-based Image Retrieval with Perceptual Encryption", in IEEE Transactions on Dependable and Secure Computing, 2025. *Equal contribution
  • A.A. Mahbub, I. Ahmad, and S. Shin, "Comprehensive Analysis of CNN-based Models for SNR Estimation", in IEEE Access, 2025.
  • I. Ahmad, J. Kim, and S. Shin, "Privacy-Preserving Uncertainty Calibration using Perceptual Encryption in Cloud-Edge Collaborative Artificial Intelligence of Things", in IEEE Internet of Things Journal, 2025.
  • I. Ahmad, M.S. Uzzal, and S. Shin, "Secure Retrieval of Brain Tumor Images Using Perceptual Encryption in Cloud-Assisted Scenario", in MDPI Electronics, 2025.

Conferences

  • M.S. Uzzal, I. Ahmad, and S. Shin. “Chaos Theory-Based Secure Image Retrieval with Fuzzy Color and Texture Feature Fusion,” APSIPA ASC, 2026. (Submitted)
  • G. Saadloonia, I. Ahmad and S. Shin, "Fine-Tuning EfficientNet Feature Extraction for Efficiency in Image Retrieval Applications," IEEE ICAIIC, 2026.
  • M.S. Uzzal, I. Ahmad, and S. Shin. “A Fast and Secure Content-based Image Retrieval Scheme using Clustering and Searchable Encryption,” IEEE ICOIN, 2026.
  • I. Ahmad, J. Kim and S. Shin, "Privacy-Preserving Transfer Learning using Learnable Encryption," IEEE ICTC, 2025.
  • M.S. Uzzal, I. Ahmad and S. Shin, " Chaos-based Searchable Encryption Scheme for Secure Medical Image Retrieval using Edge Histogram Descriptor," IEICE NOLTA, 2025.
  • I. Ahmad, J. Kim and S. Shin, "Learnable Encryption with a Diffusion Property," IEEE DSN, 2025.
  • I.I. Shovon, I. Ahmad and S. Shin, "Segmentation Aided Multiclass Tumor Classification in Ultrasound Images using Graph Neural Network," IEEE ICAIIC, 2025.
  • I. Ahmad, M. S. Uzzal and S. Shin, "Secure Retrieval of Brain Tumor Images using Perceptual Encryption," IEEE BigComp, 2025.
  • I.I. Shovon, I. Ahmad and S. Shin, Segmentation Aided Multiclass Classification of Lung Disease in Chest X-ray Images using Graph Neural Networks," IEEE ICOIN, 2025.
  • I. Ahmad, J. Kim and S. Shin, "Chaos Theory-based Learnable Encryption Scheme for Privacy-Preserving Medical Image Analysis," IEICE NOLTA, 2024.
  • I. Ahmad, J. Kim and S. Shin, "A Searchable Encryption Technique for Secure Color Image Retrieval," IEEE ICTC, 2024.