I was responsible for researching and developing a deep learning model for cell image engineering.
Assistant Professor
Gachon University
Seongnam-si
09.2022 - 12.2025
I was responsible for researching and developing a deep learning model for medical image and bioengineering tasks.
IMAGE PROCESSING AND MACHINE LEARNING LABORATORY
Research Assistant
Gachon University
Seongnam-si
09.2017 - 08.2019
I was responsible for researching and developing Active Appearance Model using image processing and machine learning techniques.
IMAGE PROCESSING AND MACHINE LEARNING LABORATORY
Research Assistant
Gachon University
Seongnam-si
09.2019 - 08.2022
I was responsible for researching and developing Stroke detection based on face features and hands moving using image processing, machine learning and deep learning techniques.
IMAGE PROCESSING AND MACHINE LEARNING LABORATORY
Machine Learning Engineer
Ozo Robotick company
Seongnam-si
09.2021 - 08.2022
I am responsible for researching and developing a deep learning model for image segmentation tasks.
I spent the majority of my time to develop a wildfire instance segmentation model for fire and smoke images from drone sequence videos and images.
Education
BACHELOR DEGREE - COMPUTER ENGINEERING
Tashkent University of Information Technologies
07.2015
MASTER'S DEGREE - COMPUTER ENGINEERING
Gachon University
08.2019
PhD DEGREE - COMPUTER ENGINEERING
Gachon University
08.2022
Skills
Python
JAVA
C
C#
PyTorch
Keras
Tensorflow
OpenCV
Matplotlib
Numpy
Pandas
Job Related Skills
Uzbek, English, Russian, basic knowledge of Korean language (KIIP 3), 3.57 (90%), Python, JAVA, C++, C#, PyTorch, Keras, Tensorflow, OpenCV, Matplotlib, Numpy, Pandas
Personal Information
Date of Birth: 1991.06.08
Nationality: Uzbekistan
Publications
For more information about my publications can be found in google scholar: https://scholar.google.com/citations?user=TJ0V_qoAAAAJ&hl=en
Edge-based effective active appearance model for real-time wrinkle detection, Sabina Umirzakova, Taeg Keun Whangbo, Skin Research and Technology, 27, 3, 2021, 444-452, 2.3
Novel video surveillance-based fire and smoke classification using attentional feature map in capsule networks, Shakhnoza, M., Sabina, U., Sevara, M., Cho, Y. I., Sensors, 22, 1, 2021, 98, 3.2
Medical image super-resolution for smart healthcare applications: A comprehensive survey, Umirzakova Sabina, Shabir Ahmad, Latif U. Khan, Taegkeun Whangbo, Information Fusion, 2023, 102075, 18.6
Deep learning-driven diagnosis: A multi-task approach for segmenting stroke and Bell's palsy, Umirzakova Sabina, Shabir Ahmad, Sevara Mardieva, Shakhnoza Muksimova, Taegkeun Whangbo, Pattern Recognition, 144, 2023, 109866, 8
Enhancing the Super-Resolution of Medical Images: Introducing the Deep Residual Feature Distillation Channel Attention Network for Optimized Performance and Efficiency, Umirzakova Sabina, Sevara Mardieva, Shakhnoza Muksimova, Shabir Ahmad, Taegkeun Whangbo, Bioengineering, 10, 11, 2023, 1332, 4.6
Enhancing Medical Image Denoising with Innovative Teacher-Student Model-Based Approaches for Precision Diagnostics, Muksimova, Shakhnoza, Sabina Umirzakova, Sevara Mardieva, Young-Im Cho, Sensors, 23, 23, 2023, 9502, 3.9
KONet: Towards a Weighted Ensemble Learning Model for Knee Osteoporosis Classification, Rasool, MJ Aashik, Shabir Ahmed, Umirzakova Sabina, Taeg Keun Whangbo, IEEE Access, 2024, 3.9
Lightweight image super-resolution for IoT devices using deep residual feature distillation network, Mardieva, Sevara, Shabir Ahmad, Sabina Umirzakova, MJ Aashik Rasool, Taeg Keun Whangbo, Knowledge-Based Systems, 285, 2024, 111343, 8.8