About me

I am a third-year PhD Candidate working on AI-based Cardiac Image Computing at Queen Mary University of London and with industrial partners including Nvidia , Circle Cardiovascular Imaging, and Conavi Medical.

My Ph.D. is supervised by Professor Greg Slabaugh, Dr. Caroline Roney, Dr. Martin Benning , and Dr. Muhammad Asad being part of my supervisory committee and external collaborator, and I am a part of Queen Mary’s Digital Environment Research Institute (DERI).

Research Intern 01/06/2022 – Present.

Keen AI, Software Company in Birmingham, United Kingdom

Developing AI-based approaches to segment steelwork and rust on images of transmission towers. The project aims to precisely predict the steelwork on various backgrounds and then estimate the proportion of the rust. The images are collected through drones, helicopters, and simulations (synthetic data) to train the algorithms. This project has been shortlisted for the IAM Asset Management Excellence Awards 2023 - UK and IET Excellence and Innovation Awards in AI and Robotics.

Research Assistant – 01/12/2023 – Present

NIHR Barts Biomedical Research Centre, London, United Kingdom

I am working on innovating in drug and device development for the cardiovascular digital twin concept to digitally model acute coronary syndromes, valvular heart disease, and hypertension. For each workstream, I am working on the ML algorithm development side. For valvular heart disease, I developed the precise segmentation of the Aorta; for the other two studies, we are developing time-series solutions for continuous monitoring of the patients based on sensor data and demographics

Previous Research and Experience

• I worked as a Research Assistant at the University of Cambridge, McDonald Institute for Archaeological Research on facial expressions recognition in visual arts with Dr Liliana Janik, and Professor Hatice Gunes. I was also a part of Affective Intelligence and Robotics Laboratory (AFAR) Group

• I completed my Master’s Degree in Electronics and Information Engineering from Jeonbuk National University (JBNU), Jeonju, Republic of Korea, (2019-2021) with research focused on fundamental Deep Learning and applications of Computer Vision to Healthcare and Precision Agriculture. I was supervised by Professor Hyongsuk Kim and Professor Yongchae Jeong , as well as working as a Research Assistant at Core Research Institute of Intelligent Robots.

• I obtained my Bachelor’s Degree in Electrical and Electronics Engineering with Magna Cum Laude from (2014-2018). I worked on Retinal layers segmentation in my final year and was supervised by Dr. Taimur Hassan .

Research Interests

• My primary research interest is to solve vision-based problems like Segmentation, Detection, Depth Estimation, and Classification.
• I also investigate topics related to Deep learning in Mobile Devices, Bioinformatics, Optical Flow and Signal Processing.

Honors and Awards

During this period, I won the following Awards, Scholarships and Internships.

MICCAI 2022 LAScarQS Challenge Best Paper Award.

Brain Korea (BK21) Scholarship

Bahria University Advanced Merit Scholarship

CERN, Switzerland “Conseil Européen pour la Recherche Nucléaire” Summer Program (2018

Türkiye Belediyeler Birliği – Çankaya/Ankara, Turkey, LocalInternational Internship Program

Funding

• National Research Foundation of Korea (NRF)

• Cambridge Humanities Research Grants Scheme, University of Cambridge

• U.S. Air Force Office of Scientific Research

• Agricultural Science and Technology Development Cooperation of Korea

NEWS

• Invited for a talk Cell Dynamics And Chromosomal Stability Workshop, 12/03/2024
• Our paper, ‘Crop and Couple: Cardiac Image Segmentation Using Interlinked Specialist Networks,’ has been accepted at ISBI-2024 and is available here: https://arxiv.org/abs/2402.09156
• Invited for a talk at Queen Mary Computer Vision Group 30/09/2023
• Best Paper Award from MICCAI 2022 LAScarQS Challenge , 18/09/2022
• DERI Lunch & Learn talk “Dockers: containerized python for machine learning,” 25/11/2022
• The project with Keen-AI has been awarded the Eason Award for Digital Innovation at the Institute of Asset Management Excellence Awards 2023

Site Credits

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