Mentorship & Academic Guidance
Guiding the next generation of researchers by advancing core techniques in secure image retrieval and computer vision, as well as translating deep learning frameworks to solve cross-disciplinary engineering challenges.
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Master's Thesis
"Secure Content-based Image Retrieval with Perceptual Encryption"
🏆 Awards & Recognition
- NOLTA Student Paper Award (2025) – IEICE NOLTA Conference
- KINGPC Best Paper Award (2025) – KINGPC Spring Conference
- KICS Excellent Paper Award (2024) – KICS Korea AI Conference
📚 Joint Publications
International Journals
- M.S. Uzzal, I. Ahmad, and S. Shin. "SCBIR-PE: Secure Content-based Image Retrieval with Perceptual Encryption." IEEE Transactions on Dependable and Secure Computing, 2025.
International 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.
- 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.
- 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.
- M.S. Uzzal, I. Ahmad, and S. Shin. "Perceptual Encryption-based Privacy-Preserving Image Retrieval Application." KINGPC ICNGC, 2024.
Domestic Journals & Conferences (Korea)
- M.S. Uzzal, I. Ahmad, and S. Shin. "Perceptual Encryption-based Secure Image Retrieval Scheme with Feature Fusion Descriptor." KINGPC J-KINGPC, 2025.
- M.S. Uzzal, I. Ahmad, and S. Shin. "Perceptual Encryption-based Secure Image Retrieval using CEDD." KINGPC Spring Conference, 2025.
- M.S. Uzzal, I. Ahmad, and S. Shin. "Edge Histogram Descriptor with DWT Decomposition for Medical Image Retrieval Applications." KICS KoreaAI, 2024.
A special note of appreciation goes to Dr. Ijaz Ahmad... To me, he is more than a mentor, he is a guide, a motivator, and a genuine friend. His advice and constant support led me to achieve several publications and awards during my master's journey... His kindness, humor, and leadership has created an environment where hard work feels meaningful and growth becomes inevitable.
— Excerpt from M.S. Thesis Acknowledgements
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Master's Thesis
"Efficient Deep Learning-Based Feature Extraction for Image Retrieval Applications"
🏆 Awards & Recognition
- KICS Excellent Paper Award (2025) – KICS Korea AI Conference
📚 Joint Publications
International Journals
- G. Saadloonia, I. Ahmad, and S. Shin. "Heterogeneity-Aware Federated Learning: A Quantitative Survey on Aggregation Paradigms in Non-IID IoT Networks." IEEE Access. (Under review)
International Conferences
- G. Saadloonia, I. Ahmad, and S. Shin. "Fine-Tuning EfficientNet Feature Extraction for Efficiency in Image Retrieval Applications." IEEE ICAIIC, 2026.
Domestic Conferences (Korea)
- G. Saadloonia, I. Ahmad, and S. Shin. "EfficientNet Models with Dimensionality Reduction for Image Retrieval Applications." KICS KoreaAI, 2025.
- G. Saadloonia, I. Ahmad, and S. Shin. "Device Heterogeneity Challenges and Solutions in Federated Learning." KINGPC Spring Conference, 2025.
I would like to express my profound gratitude to Dr. Ijaz Ahmad—the one who enlightened my young mind. He has been a mentor, teacher, guide, inspiration, supporter, and above all, a true friend... Learning from him felt like a real-life application of transfer learning, I had the privilege of learning from a remarkable researcher trained on an exceptionally large dataset of knowledge and experience... Among the many advice he gave me, one remains deeply engraved in my mind: “Once you are good at research, you will be good at many other things, because the way you do one thing determines the way you do other things.”
— Excerpt from M.S. Thesis Acknowledgements
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Master's Thesis
"Comprehensive Analysis of Efficient Deep Learning-Based SNR Estimation for OFDM Systems"
🏆 Awards & Recognition
- KINGPC Excellent Paper Award (2025) – KINGPC ICNGC Conference
📚 Joint Publications
International Journals
- A.A. Mahbub, I. Ahmad, and S. Shin. "Comprehensive Analysis of CNN-based Models for SNR Estimation." IEEE Access, 2025.
International Conferences
- A.A. Mahbub, I. Ahmad, and S. Shin. "Lightweight CNN Model Design using Bayesian Optimization and Truncated Singular Value Decomposition for SNR Estimation." IEEE ICUFN, 2026.
- A.A. Mahbub, I. Ahmad, and S. Shin. "A Lightweight CNN Model for SNR Estimation in OFDM Systems." KINGPC ICNGC, 2025.
- A.A. Mahbub, I. Ahmad, and S. Shin. "Comparative Analysis of CNN Models for SNR Estimation." IEEE ICUFN, 2025.
Domestic Conferences (Korea)
- A.A. Mahbub, I. Ahmad, and S. Shin. "Low-Rank Model Compression for Energy-Efficient Deep Learning–based SNR Estimation." KINGPC Spring Conference, 2026.