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
• I. Ahmad and S. Shin, "Sub-Block-Based Compressible Perceptual Encryption Algorithm with Chroma Subsampling", in KICS J-KICS, 2024
• I. Ahmad, W. Choi and S. Shin, "Comprehensive Analysis of Compressible Perceptual Encryption Methods-Compression and Encryption Perspectives", in MDPI Sensors, 2023. (invited)
• I. Ahmad and S. Shin, "IIB–CPE: Inter and Intra Block Processing-Based Compressible Perceptual Encryption Method for Privacy-Preserving Deep Learning", in MDPI Sensors, 2022. (invited)
• I. Ahmad and S. Shin, "A Perceptual Encryption-Based Image Communication System for Deep Learning-Based Tuberculosis Diagnosis Using Healthcare Cloud Services", in MDPI Electronics, 2022
• I. Ahmad and S. Shin, "A Novel Hybrid Image Encryption–Compression Scheme by Combining Chaos Theory and Number Theory", in Elsevier Signal Processing: Image Communication, 2021

Conferences

International

• 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)
• 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, "Perceptual Image Encryption: A Communication Perspective," IEEE ICOIN, 2024.
• I. Ahmad and S. Shin, “Deep Learning-based Image Quality Assessment Metric for Quantifying Perceptual Distortions in Transmitted Images", IEEE ISCIT, 2023.
• I. Ahmad and S. Shin. “Noise-cuts-Noise Approach for Mitigating the JPEG Distortions in Deep Learning.” IEEE ICAIIC, 2023.
• N. Islam, I. Ahmad and S. Shin. “Robustness of Deep Learning Enabled IoT Applications Utilizing Higher Order QAM in OFDM Image Communication System.” IEEE ICAIIC, 2023.
• I. Ahmad and S. Shin. “Perceptual Encryption-based Privacy-Preserving Deep Learning for Medical Image Analysis.” IEEE ICOIN, 2023.
• I. Ahmad and S. Shin. “Perceptual Encryption-based Privacy-Preserving Deep Learning in Internet-of-Things Applications.” IEEE ICTC, 2022.
• I. Ahmad, N. Islam and S. Shin. “Performance Analysis of Cloud-based Deep Learning Models on Images Recovered without Channel Correction in OFDM System.” IEEE APCC, 2022.
• I. Ahmad and S. Shin. “Qualitative Assessment of the Impact of Lossy JPEG Compression on Deep Learning Models.” KINGPC ICNGC, 2022.
• I. Ahmad, S. Hwang, E. Kim, and S. Shin. “Privacy-Preserving Surveillance for Smart Cities.” IEEE ICUFN, 2022.
• I. Ahmad, S. Hwang and S. Shin. “Determining Jigsaw Puzzle State from an Image Based on Deep Learning.” IEEE ICAIIC, 2022.
• I. Ahmad and S. Shin. “Encryption-then-Compression System for Cloud-based Medical Image Services.” IEEE ICOIN, 2022.
• I. Ahmad and S. Shin. “Fine-Tuning Pre-Trained Deep Learning Models for Multiclass Grayscale Images Classification.” KINGPC ICNGC, 2021.
• I. Ahmad and S. Shin. “An approach to run pre-trained deep learning models on grayscale images.” IEEE ICAIIC, 2021.
• I. Ahmad and S. Shin. “Region-based Selective Compression and Selective Encryption of Medical Images.” ACM SMA, 2020.
• I. Ahmad, B. Lee, and S. Shin. “Analysis of Chinese Remainder Theorem for Data Compression.” IEEE ICOIN, 2020.
• I. Ahmad and S. Shin. “Just-Noticeable-Difference Based Edge Map Quality Measure.” KINGPC ICNGC, 2018.
• I. Ahmad, I. Moon and S. Shin, “Color-to-grayscale algorithms effect on edge detection—A comparative study”, IEEE ICEIC, 2018.
• I. Ahmad and S. Shin. “N-Puzzle: A General Application of 3n+1 Problem.” KINGPC ICNGC, 2017.

National

• 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. 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, “Chroma Subsampling for Sub-block-based Perceptual Encryption Algorithms”, KICS Fall Conference, 2023.
• I. Ahmad and S. Shin, “Deep Joint Source-Channel Coding for Medical Image Transmission”, KICS KoreaAI, 2023.
• I. Ahmad and S. Shin, “Convolutional Autoencoder for Image Quality Assessment”, KICS Summer Conference, 2023.
• I. Ahmad and S. Shin. “Leveraging Transfer Learning in EfficientNetv2-based Tuberculosis Detection.” KICS Fall Conference, 2022.
• I. Ahmad and S. Shin. “A Comparison of EfficientNets for Tuberculosis Detection in Chest Radiographs.” KICS KoreaAI, 2022.
• I. Ahmad, N. Islam and S. Shin. “Performance Analysis of Deep Learning Models with Communication Channel Distortion.” KICS Summer Conference, 2022.
• I. Ahmad and S. Shin. “Block-based Perceptual Encryption Algorithm with Improved Color Components Scrambling.” KINGPC Spring Conference, 2022.
• I. Ahmad and S. Shin. “A pixel-based Encryption Method for Privacy-Preserving Deep Learning Models.” KICS Winter Conference, 2022.
• I. Ahmad and S. Shin. “Optimal Batch Size for Fine-Tuning Pre-Trained Deep Learning Models.” KICS KoreaAI, 2021.
• I. Ahmad and S. Shin. “Effect of Inter and Intra Block-level shuffling on the JPEG Compression Performance.” KIISE SWCC, 2021.
• I. Ahmad and S. Shin. “Optimal Resolution Selection to Run Pre-Trained Deep Learning Models on Tiny Images.” KINGPC Spring Conference, 2021.
• I. Ahmad and S. Shin. “Data Rate of End-to-End Learning of Communication Systems: A Survey.” KINGPC Summer Conference, 2020.
• I. Ahmad and S. Shin. “Performance analysis of Chinese Remainder Theorem for Data Compression.” KIISE KCC, 2020.
• I. Ahmad and S. Shin. “Channel Model for End-to-End Learning of Communications Systems: A Survey.” KISM Spring Conference, 2020.
• I. Ahmad and S. Shin. “Analysis of Chinese Remainder Theorem Moduli for Image Compression.” KICS Fall Conference, 2019.
• I. Ahmad, N. Sahar, and S. Shin. “Algorithmic Design of Korean Dancheong Patterns.” KISM CSMS, 2019.
• I. Ahmad, K. Choi and I. Moon. “Parallel Heap Sort Algorithm-based on Graphics Processing Units.” KISM Spring Conference, 2017.