Hyobin Lee
Ewha Womans University · Engineering
About the Lab
Professor Hyobin Lee's research lab specializes in advanced energy storage systems, particularly all-solid-state batteries (ASSBs) and lithium-ion batteries, with a focus on enhancing performance, safety, and longevity. The lab investigates novel electrode designs—such as diffusion-dependent electrodes (DDEs) and pre-lithiated DDEs—aimed at mitigating volume expansion issues in silicon- and graphite-based anodes. Additionally, the lab contributes to biometric image security through invertible watermarking techniques and explores mitochondrial genomics in insect species, highlighting a multidisciplinary approach combining materials science, computational modeling, and bioinformatics. Their work spans from fundamental electrochemical modeling to practical applications in battery safety and digital forensics.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15Abstract The graphite/silicon‐based diffusion‐dependent electrodes (DDEs) are one of the promising electrode designs to realize high energy density for all‐solid‐state batteries (ASSBs) beyond conventional composite electrode design. However, the graphite/silicon‐based electrode also suffers from large initial irreversible capacity loss and capacity fade caused by significant volume change during cycling, which offsets the advantages of the DDEs in ful‐cell configuration. Herein, a new concept i
In this paper, we propose an invertible authentication watermarking algorithm which can detect block-wise malicious manipulations in biometric images. Our method uses an invertible watermark that can also detect manipulated area simultaneously. Virtually all watermarking schemes introduce a small amount of irrecoverable distortion in original biometric images. But our new method is invertible in the sense that, if the data is deemed authentic, distortion due to authentication can be removed if i
The internal short circuit caused by the Li dendrite is well known to be a major cause for fire or explosion accidents involving state-of-the-art lithium-ion batteries (LIBs). However, post-mortem analysis cannot identify the most probable cause, which is initially embedded in the cell, because the original structure of the cell totally collapses after the accident. Thus, multiphysics modeling and simulation must be an effective solution to investigate the effect of a specific cause in a variety
We have determined a mitochondrial genome of Ricania speculum (Walker, 1851) collected in Jeollabuk-do, Republic of Korea. The circular mitogenome of R. speculum is 15,530 bp long which is shorter than that of the previous mitogenome of R. speculum by 199 bp. It includes 13 protein-coding genes, two ribosomal RNA genes, and 22 transfer RNAs. Intraspecific variation between two mitogenome of R. speculum was investigated: 171 SNPs and 18 INDELs were identified, presenting a high level of intraspec
Ceutorhynchus obstrictus (Marsham, 1802) is a serious pest of oilseed rape (Brassica napus L.) in Europe and the USA. We have determined a 20,124 bp mitogenome of C. obstrictus which includes 13 protein-coding genes, 2 ribosomal RNA genes, 22 transfer RNAs, and a single large non-coding region of 2,773 bp. The base composition was AT-biased (81.4%). Hypothetical ORFs are identified in the control region. Phylogenetic trees present that C. oibstricus is clustered with Alcides juglans (Alcidinae).
In this paper, propose efficient methods for reducing false detection rate in face detection procedure when images apply face recognition and face entertainment from web or personal photo. Previous detection methods focused on accurate face detection. So, false detection rate makes a problem when put to practical use. This problem can overcome to use additional information when face detection. Proper information is color. But real color-RGB information is not adequate for face detection. Because
As populations age, understanding cognitive decline and age-related diseases like dementia has become increasingly important. "SuperAgers," individuals over 65 with cognitive abilities similar to those in their 40s, provide a unique perspective on cognitive reserve. This study analyzed 55 blood biomarkers, including cellular components and metabolism/inflammation-related factors, in 39 SuperAgers and 42 typical agers. While conventional statistical analyses identified significant differences in
In this paper, we propose a novel reversible data hiding algorithm, which can recover the original image if it is deemed authentic or detect the block-wise malicious manipulation if it is classified as manipulated. We explore the strong spatial correlation of neighboring pixels in digital images to achieve very high embedding capacity and keep the distortion low. Also, this technique provides cryptographic strength when verifying image integrity because the probability of making undetectable mod
The diffusivity and exchange current density are the two main parameters that determine both ionics and electrodics in the Newman’s battery model. Nonetheless, the values of both parameters are normally selected from eminent literatures or experimental data measured under specific conditions, furthermore, and they are occasionally overfitted to coincide with real electrochemical behaviors without sufficient consideration. Herein, the diffusivities and exchange current densities of a LiNi0.4Mn0.3
미국은 2018년 초 무역분쟁을 시작으로 현재까지 중국기업 화웨이 제재를 중심으로 중국과 본격적인 기술패권 전쟁을 하고 있다. 이와 관련한 선행 연구들은 미․중 기술전쟁에 대한 거시적인 정치·경제적 접근을 통해 미국 정부의 중국의 특정 기업 직접 제재라는 초유의 상황을 설명하고자 하지만 체계적인 분석결과를 제공하지는 못하고 있다.<BR> 본 연구는 이를 미시적으로 분석하고 화웨이의 급속 성장이 미·중 기술전쟁의 중요한 원인임을 제시하고자 한다. 미국은 차세대 기술인 5G 기술의 중국 잠식이 큰 위협이 되고 있으며 그 중심에 화웨가 있다고 지목하고 있다. 화웨이는 세계 최대의 통신장비와 5G 장비 제조사이자 세계 2위 스마트폰 제조사이며, AI칩세트 제조, 빅데이터 등에서 영향력을 강화하고 있다. 화웨이의 5G 관련 압도적인 기술력은 미국이 기술패권국을 주도하는데 있어 부정적인 영향을 미치고 있으며, 이는 왜 미국이 화웨이와 전면전을 펼치는지에 대한 이유를 제공하고 있다.
Research Areas
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