About

Jae Young Lee is an Assistant Professor of Computer Science and the Coordinator of Databases at Boston University Metropolitan College. He holds a Ph.D. from the University of Texas at Arlington, an M.S. from the same institution, and a B.S. from Seoul National University in Korea. Dr. Lee has been teaching and conducting research in the computer science field for more than ten years, with previous academic positions at the Colorado School of Mines, the University of North Florida, and the University of Texas at Arlington. His research actively focuses on data mining, including association rule mining, sequence data mining, and activity mining. Dr. Lee has been awarded several grants to support his research activities. He has contributed to the academic community through numerous publications in refereed international conferences, workshops, and journals, covering topics such as conceptual modeling, temporal data models, and data mining techniques. His work emphasizes the development of algorithms and models for data analysis, with applications in economic growth, e-commerce, and knowledge management.

Research topics

• Economics
• Business
• Political Science
• Financial economics
• Econometrics
• Geography
• Economic growth
• International economics
• Macroeconomics
• Monetary economics
• Finance
• Accounting

Selected publications

• Fermented Whey Protein Supplement Slows the Progression of Frailty and Sarcopenia Among Older Korean Adults: A Randomized Blinded Trial

  Journal of Medicinal Food · 2026-03-10

  article

  As the global population ages, frailty and sarcopenia have emerged as pressing public health challenges due to their impact on functional decline and increased health care burden. This study assessed the efficacy of lactic acid bacteria–fermented whey protein (LAB-FWP) supplementation for improving physical function and nutritional markers in community-dwelling older Korean adults. A total of 45 individuals aged 65 years and older (body mass index 18.5–30) who had not used protein supplements in the prior 6 months were enrolled in a 10-week, randomized, blinded trial. Participants were assigned to either the intervention group ( n = 22), which received 38 g/day of LAB-FWP, or the control group ( n = 23), which received a taste- and texture-matched dextrin placebo. The intervention group demonstrated significant improvements in physical performance, including an increase in electronic Short Physical Performance Battery (eSPPB) scores ( P = .034) and hand grip strength ( P = .043). Nutritional biomarkers also improved markedly: dietary vitamin D intake increased from 2.2 to 11.6 µg, calcium intake from 280.9 to 566.7 mg, and magnesium intake from 135.5 to 316.3 mg (all P < .001). Compared with controls, the intervention group showed greater gains in skeletal muscle mass index (Δ = 1.5, P = .004) and eSPPB scores (Δ = 1.4, P = .017). Regression analysis revealed that physical function was positively associated with improvements in nutrition. Daily supplementation with LAB-FWP led to clinically meaningful enhancements in both functional capacity and nutritional status, suggesting its potential as a practical strategy to mitigate age-related frailty and sarcopenia.

  PublisherDOI

• The Effect of Technology Utilization on Depression of Older Adults: Focusing on the Comparison of the Older Adults Living Alone and the Older Adults Non-Living Alone

  Journal of the Korea Entertainment Industry Association · 2024-06-30

  article1st authorCorresponding

  본 연구는 디지털화된 사회를 살아가기 위해 필요 역량이 된 기술활용이 심각한 사회문제로 주목받고 있는 노인 우울에 개선효과가 있는지 확인하고자 하였으며, 데이터 분석을 통해 노인의 기술활용도가 높을수록 우울이 감소한다는 결과를 도출하였다. 이 결과에 따라 노인의 우울개선을 위한 기술활용도 역량 강화 정책과 프로그램의 필요성이 확인되었다. 특히 독거노인과 비독거노인으로 나누어 노인 집단 내에서의 차이가 있는지 확인하였는데, 독거노인 집단의 경우 비독거노인 집단에 비해 낮은 기술활용도와 높은 우울수준을 보이는 특성을 갖고 있는 것으로 확인되었다. 이는 비독거노인에 비해 취약한 독거노인의 우울예방 및 개선을 위한 방안으로 기술활용도 증진에 보다 적극적인 개입과 차별화된 프로그램이 적용될 필요가 있다는 점을 시사하고 있다.

  PublisherDOI

• Analyzing Technology Acceptance Model and Predictors of Transfer-Assistive Robot with Care Workers

  Korean Journal of Security Convergence Management · 2024-06-30 · 1 citations

  articleSenior author

  연구목적 본 연구의 목적은 노인돌봄인력의 이승보조로봇 기술수용모델을 검증하고, 이승보조로봇 기술수용 예측요인을 살펴보는 것이다. 연구방법 본 연구의 분석에는 최종 387명의 노인돌봄인력이 포함된다. 분석방법으로는 기술통계 및 빈도분석, 확인적 요인분석, 신뢰도 분석, 위계적 회귀분석이 활용되었으며, 모든 분석은 STATA 16.0.을 활용했다. 결과 먼저, 이승보조로봇 기술수용모델을 검증한 결과, 편의성, 즐거움, 신뢰, 적응성, 촉진조건, 불안, 친숙도의 총 7가지의 변수가 하나의 척도로서 타당한 기준을 충족하였다. 다음으로 이승보조로봇 기술수용 예측요인 분석 결과, 돌봄로봇 사용자기효능감과 디지털 리터러시가 기술수용에 긍정적인 영향을 미치는 것으로 나타났다. 결론 본 연구는 한국의 노인돌봄현장에 돌봄로봇을 성공적으로 구현하기 위해 우선적으로 이승보조로봇 기술수용모델을 검증하였으며, 노인돌봄인력의 이승보조로봇 기술수용을 제고하기 위한 예측요인까지 함께 분석함으로써 시장에서의 성공적 진입전략과 방향성을 제시하였다는 의의가 있다.

  PublisherDOI

• FACTORS AFFECTING THE ACCEPTANCE OF CARE ROBOTS BY OLDER ADULTS: FOCUSING ON TECHNICAL FACTORS

  Innovation in Aging · 2023-12-01

  articleOpen access

  Abstract Care robots have the potential to support the healthy and independent lives of older adults and alleviate the burden on care workers. However, the potential benefits of care robots can only be realized if they are accepted. Given that most older adults do not have experience with care robots and lack digital literacy, an understanding of the factors affecting the acceptance of care robots is important. The goal of this study was to analyze the factors that affect older adults’ acceptance of care robots by distinguishing the factors into sociodemographic, health, and technical factors. Data were collected from older adults aged 60 or over living in the community of Korea in 2022 (N= 506, mean age=70.11±7.74, women=54.55%). Hierarchical regression analysis was conducted to identify the factors related to acceptance of care robots. The results showed that factors influencing older adults’ acceptance of care robots were significant in sociodemographic factors (education and place of residence), health factors (self-reported health and instrumental activities for daily living), and technical factors (digital literacy and technostress). The findings indicate that interventions are needed to increase the acceptance of care robots by vulnerable groups with low levels of education, living in rural areas, and poor health conditions, and that it is also important to increase their digital literacy and lower their technostress. This study would provide valuable guidelines to stakeholders such as service providers, and policymakers to increase the acceptance of care robots and improve the quality of life of older adults.

  PublisherOA PDFDOI

• Factors causing depopulation of vulnerable regions: Evidence from Kazakhstan, 2009-2019

  Regional Statistics · 2023-01-01 · 5 citations

  articleOpen access

  prone to such economic downturns, resulting in economic stagnation (Roselli 2012, Badia-Miro-Ducoing 2014).Additionally, Cole-Ohanian (2002) recognised a reduction in weekly working hours as a critical feature of sectoral economic stagnation.In 1929, the unemployment rate was particularly high in coal-producing areas such as Northern England (12,9 %) and Wales (18,8 %).As a result, one of the main causes of Great Britain's sectoral downturn was increased unemployment, which pushed manufacturing and output to the second place (Cole-Ohanian 2002).Depressive development results from a region's post-crisis development.Depression is defined as a reduction in economic activities.Furthermore, the social indicators of the study region are deteriorating.Compared to other parts of the country, the statistics for the considered region reflect a decline in economic activity (Dulova 2011).Depressive development is difficult to predict because it is conditional.However, they identified risk sensitivity, social reactions, and physical aspects as components of vulnerability.As a result, a depressed region experiences a long period of economic stagnation due to a period of economic recession. Vulnerability of settlementsVulnerability is recognised as a major cause of rural land degradation.Vulnerability is the response of a region to various environmental and socioeconomic challenges in some cases (Villa-McLeod 2002, Beroya-Eitner 2016, Dudek-Sedefoğlu 2019).This explains why a broad strategy for understanding and assessing a region's risk is unachievable.However, according to Wisner (2002), vulnerability is the outcome of a region's or settlement's inability to recover from a particular economic collapse, which is seen as inadequate development.In contrast, it also discusses the settlement's ability to adapt to innovation or change (Birkmann 2007).Rural areas are prone to various economic development processes.This may be either rapid progress or an economic downturn.Rural studies have gone through a development process, mostly concerned with land issues, such as agriculture, until 1950.The focus of rural studies widened rather than switched later in the 1970s.Employment, housing, leisure activities, and other aspects of rural development were all considered.Rural studies in the early 1990s have focused on the socioeconomic development of rural areas.The threat of urbanisation and increasing growth in agriculture have prompted this development.Graymore et al. (2008), for example, researched the notion of sustainability assessment that can be used to identify key categories of vulnerabilities.Population health, environmental pollution or the state, education, natural resource utilisation, and infrastructure are all aspects of well-being.Employment, population, education, culture, urbanisation, transportation, resource consumption, and other socioeconomic factors influence the quality of life.Ecosystem health measures the availability of natural resources such as air, land, water, and ecosystems.One of the

  PublisherDOI

• The Data Sharing Economy and Open Governance of Big Data as Public Good

  Journal of Asian Finance Economics and Business · 2021-01-01 · 8 citations

  articleOpen access1st authorCorresponding
  PublisherDOI

• Exchange Rate Movements and Structural Break on China FDI Inflows

  Contemporary Economics · 2020 · 27 citations

  1st authorCorresponding
  • International economics
  • Business
  • Economics

  The aim of the study is to explore the short-run and long-run dynamic relationships between exchange rate fluctuations and foreign direct investment (FDI) inflows in China. The justification is that the undertaken topic is preeminent for devising strategies to promote economic development, thus, a course that carries much at stake not only for China but also for other developing countries. Methodology used in the study consists of co-integration tests, vector error correction models, Wald tests and impulse responses. Monthly time series data from the National Bureau of Statistics of the People's Republic of China are analyzed. The main empirical results indicate that a change in exchange rates negatively affects FDI inflows in the long run while there exists no evidence of short-run dynamics and reciprocal feedback between exchange rate fluctuations and FDI inflows. Furthermore, a structural break occurs during the 2007-2009 global financial crisis shock to FDI inflows in China. In conclusions, this research expands knowledge of factors that affect FDI inflows. To generalize the results obtained from this study, recommendations for future research include studies encompassing different economies where data are available. Such research will contribute towards improving our understanding of exchange rate systems and responses in each market.

  PublisherDOI

• An Exploration of Dynamic Relationships between Macroeconomic Variables and Stock Prices in Korea Revisited

  Journal of Asian Finance Economics and Business · 2020-10-15 · 9 citations

  articleOpen access1st authorCorresponding

  The paper revisits the author's previous paper to examine short-run and long-run dynamic relationships between macroeconomic variables and stock prices in Korea. The data is updated to the period for which monthly data are available from January 1986 to June 2018 (390 observations) retrieved from the Bank of Korea. The results of Johansen cointegration test indicate that at least one cointegrating equation exists, confirming there is a long-run equilibrium relationship between macroeconomic variables and stock prices in Korea. The results of vector error correction estimates confirm that: 1) the coefficient of the error correction term is significant with a negative sign, which is, a long-run dynamic relationship is observed between macroeconomic variables and stock prices; 2) for short-run dynamics, the nominal exchange rate of the Korean won per the US dollar is positively related to stock prices, while interest rates are negatively related to stock prices in the short-run; 3) the coefficient of global financial crises is insignificant, that is, the changes of stock prices are determined largely by their own dynamics in the model. The results suggest only that the global financial crises neither cause instability in the cointegrating vector, nor affect significant changes in the endogenous variables in the model.

  PublisherOA PDFDOI

• Influence of Non-Reactive Epoxy Binder on the Permeability and Friction Coefficient of Twill-Woven Carbon Fabric in the Liquid Composite Molding Process

  Applied Sciences · 2020-10-10 · 8 citations

  articleOpen access

  In the liquid composite molding process, a binder is used to fix the preform. In this study, the influence of a non-reactive epoxy binder was investigated. To allow the measurement of permeability, the preform specimen was produced under three preforming conditions: neat fabric preform, binder-treated fabric preform without heat treatment, and binder-treated fabric preform with heat treatment. The in-plane directional permeability, K1 (having maximum flow velocity), and K2 (having minimum flow velocity) of the binder-treated fabric preform decreased approximately 80% compared to the neat fabric preform. The permeability in the out-of-plane direction decreased approximately 80% in the binder-treated fabric preform without heat treatment and about 98% in the binder-treated fabric preform with heat treatment. This decrease occurred because the treated binder on the fiber hindered resin impregnation. The effect of the binder on the friction coefficient of carbon fabric was also investigated. The friction coefficient was high when the binder was on the friction surface and increased 40–200% at 110 °C, compared to 25 °C.

  PublisherOA PDFDOI

• Lagged Effects of R&D Investment on Corporate Market Value: Evidence from Manufacturing Firms Listed in Chinese Stock Markets

  Journal of Asian Finance Economics and Business · 2020-08-14 · 7 citations

  articleOpen access1st authorCorresponding

  The study examines lagged economic effects of research and development (R&D) investment on the market value of manufacturing firms listed on the Shanghai Stock Exchange or the Shenzhen Stock Exchange in China. This study applies panel data analysis methods to address the following issues: 1) There might be an adjustment lag in the impact of R&D investment on corporate market value, and 2) Unobserved firm effects must be taken into account. The balanced panel data includes a total of 1,462 observations with 34 cross-sections of manufacturing firms listed on Chinese stock markets and with 27 time-specific quarterly periods from 2007 to 2017. The results indicate that the R&D investment of Chinese manufacturing firms tends to yield favorable market value of the firm with some adjustments to time. The results show that R&D investment exhibits a strong positive impact on their market value of manufacturing firms in Chinese stock markets. Moreover, R&D investment has a positive time-lag effect on the market value of the firm. Interestingly, the R&D investment of Chinese manufacturing firms generate a relatively constant positive effect on their market value, supporting the notion that the corresponding returns of R&D investment for such firms yield lagged but added market values.

  PublisherOA PDFDOI

Frequent coauthors

• Tantatape Brahmasrene

  Purdue University Northwest

  39 shared

• Simon W. Tai

  KIMEP University

  34 shared

• Kip Becker

  Boston University

  20 shared

• Rajasekhara Mouly Potluri

  Kazakh-British Technical University

  11 shared

• Michael Kwag

  Boston University

  10 shared

• Helena Nobre

  University of Aveiro

  7 shared

• Ahmad Mujafar Syah

  University of Florida

  7 shared

• Young‐Min Kim

  Korea Advanced Institute of Science and Technology

  6 shared

Education

• Ph.D.

  University of Texas at Arlington

• M.S.

  University of Texas at Arlington

• B.S.

  Seoul National University (Korea)