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.

News

• [18^th Jan 2024] Our paper won IET & KICS best paper award at the KICS Fall 2023 conference!
• [15^th Jan 2024] Our paper Learnable Pixel-Based Encryption for Privacy-Preserving Image Classification. got accepted for presentation in the KICS Fall 2024 conference!
• [02^nd Jan 2024] We submitted a paper related to privacy-preserving image classification to the KICS Winter 2024 conference.

Past Events

• [08^th Dec 2023] Our paper Perceptual Image Encryption: A Communication Perspective got accepted for presentation in the ICOIN 2024 conference!
• [26^th Oct 2023] Our paper Chroma Subsampling for Sub-block-based Perceptual Encryption Algorithms got accepted for presentation in the KICS Fall 2023 conference!
• [26^th Oct 2023] We submitted a paper related to communication perspective of perceptual encryption to the ICOIN 2024 conference.
• [19^th Oct 2023] We submitted a paper related to chroma subsampling function for our proposed IIB-CPE method to KICS Fall 2023 conference.
• [02^nd Sep 2023] Our paper Deep Joint Source-Channel Coding for Medical Image Transmission got accepted for presentation in the KICS Korea Artificial Intelligence Conference 2023!
• [07^th July 2023] Our paper Deep Learning-Based Image Quality Assessment Metric for Quantifying Perceptual Distortions in Transmitted Images got accepted for presentation in the ISCIT 2023 conference!
• [31^st May 2023] Our paper Convolutional Autoencoder for Image Quality Assessment got accepted for presentation in the KICS Summer Conference 2023!
• [24^th April 2023] We submitted a paper related to quantifying noise in transmitted images to the ISCIT 2023 conference.
• [18^th April 2023] Our paper 'Comprehensive Analysis of Compressible Perceptual Encryption Methods—Compression and Encryption Perspectives' is now online.
• [13^th April 2023] Our paper 'Comprehensive Analysis of Compressible Perceptual Encryption Methods—Compression and Encryption Perspectives' got accepted for publication in the Sensors journal!
• [11^th Jan 2023] Our paper won one of the best papers award at the ICOIN 2023 conference!
• [21^st Dec 2022] Our paper 'Noise-cuts-Noise Approach for Mitigating the JPEG Distortions in Deep Learning' got accepted for the ICAIIC 2023 conference!
• [21^st Dec 2022] Our paper 'Robustness of Deep Learning enabled IoT Applications Utilizing Higher Order QAM in OFDM Image Communication System' got accepted for the ICAIIC 2023 conference!
• [15^th Nov 2022] Our paper 'Perceptual Encryption-based Privacy-Preserving Deep Learning for Medical Image Analysis' got accepted for the ICOIN 2023 conference!