Professional activities
Journal publications
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"Quantitative screening of cervical cancers for low-resource settings: Pilot study of smartphone-based endoscopic visual inspection after acetic acid using machine learning techniques"
JK Bae, H Roh, JS You, K Kim, Y Ahn, S Askaruly, K Park, H Yang, G Jang, K Moon, W Jung
JMIR mHealth and uHealth, 2020
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"Deep learning-based glaucoma screening using regional RNFL thickness in fundus photography"
H Yang, Y Ahn, S Askaruly, JS You, S Kim, W Jung,
Diagnostics, 2022
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"Quantitative evaluation of skin surface roughness using optical coherence tomography in vivo"
S Askaruly, Y Ahn, H Kim, A Vavilin, S Ban, PU Kim, S Kim, H Lee, W Jung
IEEE Journal of Selected Topics in Quantum Electronics, 2018
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"Evaluation of skin texture and wrinkle using optical coherence tomography (Pilot study)"
S Kim, Y Ahn, S Askaruly, P Kim, W Jung, H Lee
Journal of the Society of Cosmetic Scientists of Korea, 2017
Oral presentations
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"Advanced ear examination using deep learning-assisted mobile otoscope "
S Askaruly, H Yang, N Aimakov, G Na, Y Ahn, JS You, G Jang, JH Jang, W Jung
SPIE Photonics West, 2022
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"High-throughput screening with deep learning for quantitative phenotype analysis of zebrafish"
G Na, H Yang, U Shin, Y Kim, S Askaruly, T Kwon, Y Lee, W Jung
SPIE Photonics West, 2022
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"Development of deep learning-based high-throughput phenotype screening platform of aquatic model organism embryos"
S Yun, H Yang, S Askaruly, TJ Park, W Jung, T Kwon
International Xenopus Society, 2021
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"Quantitative classification of OCT skin images with deep learning"
S Askaruly, Y Ahn, J Bak, A Vavilin, G Jang, P Kim, H Lee, W Jung
SPIE Photonics West, 2018
Conference proceedings
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"High-throughput screening platform for quantitative phenotype analysis of Xenopus laevis with deep learning"
H Yang, S Askaruly, S Yun, G Na, T Kwon, and W Jung
SPIE Advanced Biophotonics Conference, 2021
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"Speech signal analysis for the estimation of heart rates under different emotional states"
A Ryskaliyev, S Askaruly, A P James
International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2016
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"The representation of memristor model in MATLAB and Simulink environment"
S Askaruly, B Rakhmetov, A P James
Advances in Memristor Circuits and Bioinspired Systems, 2015
Patents
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"Artificial intelligence otoscope and operating method thereof"
W Jung, S Askaruly, H Yang, N Aimakov, JH Jang,
Korea Intellectual Property Rights Information Service, 10-2022-0017614, (filed on 2022.02.10)
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"A method and apparatus for detecting wrinkle of skin using optical coherence tomography"
W Jung, Y Ahn, S Askaruly
Korean Registered Patent, 10-2306486, (2021.09.23)
Poster presentations
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"Farabio: Deep learning for biomedical imaging"
S Askaruly, N Aimakov, A Iskakov, H Cho, Y Ahn, MH Choi, H Yang, W Jung
PyTorch Developer Day, 2021
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"Farabio: Deep learning toolkit for biomedical imaging"
S Askaruly, N Aimakov, A Iskakov, H Cho
PyTorch Ecosystem Day, 2021
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"Evaluation of age-related effects on human skin surface roughness using optical coherence tomography"
S Askaruly, Y Ahn, H Kim, A Vavilin, PU Kim, H sLee, W Jung
OSK Annual Biophotonics Conference, 2017
Theses
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"Development of deep learning integrated futuristic biomedical platforms for translational digital healthcare"
Committee members: T Kwon, G Jang, J Yoo, J Jang, A Vavilin, W Jung
Ph.D. Thesis, defended on February 24, 2022
Talks
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"Introduction to parallelism in Python"
CodeSeoul MLA Meetup, December 2023
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"Introduction to deep learning model inference: Theory and practice"
CodeSeoul MLA Meetup, May 2023
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"Dimensionality reduction techniques: PCA"
CodeSeoul MLA Meetup, December 2022
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"Optimization algorithms in deep learning"
CodeSeoul MLA Meetup, November 2022
Teaching courses
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Mobile AI - Focus on BME applications, Summer 2021
A 4-week intensive training course of end-to-end mobile AI: from training a deep learning model on custom data to its final deployment onto Android device.
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Mobile development, Summer 2020
A 6-week intensive training course to get solid theoretical fundamentals on mobile architecture, single-board computers as well as acquiring strong hands-on skills on Android application development and hardware prototyping.
Licenses & certifications
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Introduction to Machine Learning on AWS, Amazon, September 2024
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Microsoft Azure Machine Learning for Data Scientists, Microsoft, August 2024
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Getting Started with Accelerated Computing in CUDA C/C++, NVIDIA, November 2023
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Machine Learning Operations (MLOps): Getting Started, Google, August 2024
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Mathematics for Machine Learning: Multivariate Calculus, Imperial College London, June 2024
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Mathematics for Machine Learning: Linear Algebra, Imperial College London, May 2024
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Getting Started with Google Kubernetes Engine, Google, August 2024
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Grokking the Machine Learning Interview, Educative, August 2022
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Python Certificate, HackerRank, September 2020
Trade fairs
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Demo of MSP320 at the 75th Annual Fall Meeting of The Korean Society of Pathologists
Seoul, Korea, October 2023
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Demo of MSP320 at analytica Munich
Munich, Germany, April 2024
Related coursework
- Computer vision, Ulsan National Institute of Science and Tecnology, ECE543, Fall 2016
- Advanced machine learning, Ulsan National Institute of Science and Tecnology, CSE543, Spring 2017
- Biomedical imaging, Ulsan National Institute of Science and Tecnology, BME431, Fall 2016
- S.L. in BME: ICT-based biomedical instrument, Ulsan National Institute of Science and Tecnology, BME806, Fall 2017
- Digital signal and image processing, Nazarbayev University, EEE238, Fall 2015
- Embedded microcontrollers, Nazarbayev University, EEE343, Fall 2014