CV
SUMMARY
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. I have experience in project proposal and progress report writing.
EDUCATION
Ph.D., Chosun University, South Korea (August 2023)
Computer Engineering
Thesis: A cryptographic approach towards privacy-preserving image data transmission, storage and computation
Mentor: Prof. Seokjoo Shin
Computer Engineering
Thesis: A cryptographic approach towards privacy-preserving image data transmission, storage and computation
Mentor: Prof. Seokjoo Shin
M.S., Chosun University, South Korea (August 2018)
Computer Engineering
Thesis: Study of edge detection with color-to-grayscale algorithms
Computer Engineering
Thesis: Study of edge detection with color-to-grayscale algorithms
B.S., University of Peshawar, Pakistan (February 2015)
Computer Science (Honors)
Thesis: Robot cognition
Computer Science (Honors)
Thesis: Robot cognition
PROFESSIONAL EXPERIENCE
Postdoctoral Researcher, Korea University, South Korea (Jan 2024 to present)
AI and Mobility Lab
Topic: Privacy-preserving deep learning
Mentor: Prof. Joongheon Kim
AI and Mobility Lab
Topic: Privacy-preserving deep learning
Mentor: Prof. Joongheon Kim
Technical Lead, Chosun University, South Korea (Apr 2024 to present)
Wireless Communication and Networking Lab
1. Secure content-based image retrieval using perceptual encryption
2. Data aided image classification using graph neural networks
Wireless Communication and Networking Lab
1. Secure content-based image retrieval using perceptual encryption
2. Data aided image classification using graph neural networks
Visiting Researcher, Chosun University, South Korea (Jan 2024 to present)
Wireless Communication and Networking Lab
Topic: Perceptual encryption-based privacy-preserving computation applications
Mentor: Prof. Seokjoo Shin
Wireless Communication and Networking Lab
Topic: Perceptual encryption-based privacy-preserving computation applications
Mentor: Prof. Seokjoo Shin
Project Manager, Chosun University, South Korea (Jan 2021 to Dec 2024)
Wireless Communication and Networking Lab
Responsibilities: Project proposal preparation, yearly progress report, and software installation
Acquired high performance computing resources (NIPA, Korea) for consecutive 4 years
Wireless Communication and Networking Lab
Responsibilities: Project proposal preparation, yearly progress report, and software installation
Acquired high performance computing resources (NIPA, Korea) for consecutive 4 years
Research Assistant, Chosun University, South Korea (Sep 2017 to Dec 2023)
Wireless Communication and Networking Lab
Topic: An end-to-end image communication system for availing third party owned resources to develop AI-based solutions in privacy-preserving manner
Mentor: Prof. Seokjoo Shin
Wireless Communication and Networking Lab
Topic: An end-to-end image communication system for availing third party owned resources to develop AI-based solutions in privacy-preserving manner
Mentor: Prof. Seokjoo Shin
Research Assistant, Chosun University, South Korea (Sep 2016 to Aug 2017)
Three-Dimensional Image Processing Lab
Topic: Double random phase encoding for image encryption
Mentor: Prof. Inkyu Moon
Three-Dimensional Image Processing Lab
Topic: Double random phase encoding for image encryption
Mentor: Prof. Inkyu Moon
MENTORING EXPERIENCE
Graduate Mentor, Chosun University, South Korea (Mar 2024 to present)
Wireless Communication and Networking Lab
Mentored three Master and one Ph.D. students
(1 Journal Paper | 5 International Conference Papers | 3 National Conference Papers)
Wireless Communication and Networking Lab
Mentored three Master and one Ph.D. students
(1 Journal Paper | 5 International Conference Papers | 3 National Conference Papers)
Volunteer Advisor, University of the Philippines, The Philippines (Dec 2023 to present)
Mathematical and Computing Sciences Unit
Mentored students in research topic selection and provided technical feedback on topics such as:
1. Privacy-preserving AI mainly focusing on Federated Learning
2. Medical image processing
3. Explainable AI
Mathematical and Computing Sciences Unit
Mentored students in research topic selection and provided technical feedback on topics such as:
1. Privacy-preserving AI mainly focusing on Federated Learning
2. Medical image processing
3. Explainable AI
GRANTS
Core Contributor, Chosun University, South Korea (2023)
A study on perceptual encryption-based privacy preserving deep learning application service technology considering a networking environment in an image communication system
(2023.09.01~2027.02.28) | PI: Prof. Seokjoo Shin
A study on perceptual encryption-based privacy preserving deep learning application service technology considering a networking environment in an image communication system
(2023.09.01~2027.02.28) | PI: Prof. Seokjoo Shin
SKILLS
- Image Processing, Computer Vision, Image Compression, and Image Encryption
- Foundational Algorithms; Image Quality Assessment; Lossless and Lossy Compression; Number Theory, Chaos Theory and Perceptual Encryption
- Deep Learning and Machine Learning
- Algorithms: Supervised and Unsupervised Learning, Transfer Learning, and Privacy-Preserving AI
- Applications: Natural and Medical Image Analysis
- Programming Languages
- MATLAB, Python, Tensorflow, Keras
- Familiar with: C, C++, and Java
- Communication, Presentation, Project Management, Team Leading, Mentoring, and Collaboration Skills
PUBLICATIONS, PRESENTATIONS, & PATENTS
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
International Conferences
- 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 Conferences
- 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.
Patents
- Korean Patent Application No. 10-2021-0174309, “Apparatus and Method for Encrypting and Compressing Image” (filing date 08/12/2021)
INVITED TALKS
Invited lecturer for Introduction to Transfer Learning, University of the Philippines, Virtual (Jun 2021)
How to fine-tune pre-trained deep learning color image models for medical image analysis
How to fine-tune pre-trained deep learning color image models for medical image analysis
HONORS & AWARDS
- KICS Excellent Paper Award (2024) - KICS Korea AI Conference
“Edge Histogram Descriptor with DWT Decomposition for Medical Image Retrieval Applications.” - IET and KICS Best Paper Award (2023) - IET and KICS Fall Conference
“Chroma Subsampling for Sub-block-based Perceptual Encryption Algorithms.” - IEEE ICOIN Best Paper Award (2023) - IEEE Computer Society
“Perceptual Encryption-based Privacy-Preserving Deep Learning for Medical Image Analysis.” - IEEE ICOIN Best Paper Award (2022) - IEEE Computer Society
“Encryption-then-Compression System for Cloud-based Medical Image Services.” - Best Poster Award (2021) - KINGPC Spring Conference
“Optimal Resolution Selection to Run Pre-Trained Deep Learning Models on Tiny Images.” - ACM SMA Best Paper Award (2020) - ACM SMA Conference
“Region-based Selective Compression and Selective Encryption of Medical Images.” - Best Poster Award (2018) - KINGPC ICNGC Conference
“Just-Noticeable-Difference Based Edge Map Quality Measure.” - Best Paper Award (2017) - KINGPC ICNGC Conference
“N-Puzzle: A General Application of 3n+1 Problem.” - MDPI APC Award (2023)
- MDPI APC Award (2022)
- Scholarship (2018 – 2023), BK21 fellowship to pursue Ph.D. Degree
- Scholarship (2018 – 2020), Chosun Univ. tuition fee Award for Ph.D. Degree
- Scholarship (2016 – 2018), BK21 fellowship to pursue Master Degree
- Scholarship (2016 – 2018), Chosun Univ. tuition fee award for Master Degree
SERVICES
Journal Reviewers
- Bentham
Current Medical Imaging - Elsevier
Journal of King Saud University - Computer and Information Sciences, Journal of Systems Architecture, Pattern Recognition Letter - IEEE
Internet of Things Journal, Transactions on Multimedia - MDPI
Cryptography, Electronics, Entropy ,Future Internet, Information - Springer
Artificial Intelligence Review, Computing, Multimedia Systems, Nonlinear Dynamics, Scientific Reports, Signal, Image and Video Processing, The Visual Computer
Conference TPCs / Reviews
- IEEE BigComp (2025~)
- IEEE ICUFN (2023~)
- IEEE ICTC (2022~)
- IEEE ICOIN (2022~)
- IEEE ICAIIC (2021~)
LANGUAGES
English (Full professional proficiency) Korean (Elementary proficiency) Urdu (Native or bilingual proficiency) Pashto (Native or bilingual proficiency)