Ijaz Ahmad (Ph.D.)

Ijaz Ahmad (Ph.D.)

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 Univ., AI and Mobility (AIM) Lab under the supervision of Prof. Joongheon Kim. 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. Beside a postdoc, I am a visiting researcher at Chosun Univ., where I am a part of Wireless Communication and Networking (WHYNET LAB) research group.

    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 Privacy-Preserving Deep Learning..

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


Recent

Journals

  • M.S. Uzzal*, I. Ahmad* and S. Shin, "SCBIR-PE: Secure Content-based Image Retrieval with Perceptual Encryption", in Elsevier Expert Systems with Applications, (Submitted) *Equal contribution
  • I. Ahmad, J. Kim, and S. Shin, "A Privacy-Preserving Scheme using 2D Chaos for Medical Image Analysis and Archiving", in IEEE Transactions on Multimedia. (Under review)
  • 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. (Online)
  • 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

[ International | National ]

  • 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. (Under review)
  • A.A. Mahbub, I. Ahmad, and S. Shin. “Comparative Analysis of CNN Models for SNR Estimation.” IEEE ICUFN, 2025. (Under review)
  • I. Ahmad, J. Kim and S. Shin, "Learnable Encryption with a Diffusion Property," IEEE DSN, 2025. (Accepted)
  • G. Saadloonia, I. Ahmad and S. Shin, “Device Heterogeneity Challenges and Solutions in Federated Learning”, KINGPC Spring Conference, 2025. (Accepted)
  • M.S. Uzzal, I. Ahmad and S. Shin, “Perceptual Encryption-based Secure Image Retrieval using CEDD”, KINGPC Spring Conference, 2025. (Accepted)
  • 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.
  • M.S. Uzzal, I. Ahmad and S. Shin. “Perceptual Encryption-based Privacy-Preserving Image Retrieval Application.” KINGPC ICNGC, 2024.
  • I. Ahmad, J. Kim and S. Shin, "A Searchable Encryption Technique for Secure Color Image Retrieval," IEEE ICTC, 2024.
  • I. Ahmad and S. Shin, “Fuzzy Logic-based Feature Fusion Technique for Image Retrieval System”, KICS KoreaAI, 2024.
  • M.S. Uzzal, I. Ahmad and S. Shin, “Edge Histogram Descriptor with DWT Decomposition for Medical Image Retrieval Applications”, KICS KoreaAI, 2024.
  • I. Ahmad and S. Shin, “A Data Augmentation Technique for Perceptual Encryption-Based Privacy Preserving Medical Image Analysis”, KICS Summer Conference, 2024.
  • I. Ahmad and S. Shin, “Learnable Pixel-Based Encryption for Privacy-Preserving Image Classification”, KICS Winter Conference, 2024.
  • I. Ahmad and S. Shin, "Perceptual Image Encryption: A Communication Perspective," IEEE ICOIN, 2024.