جستجوی استاد راهنمای دانشگاهی

Grace H. Chungمشاهده پروفایل

استاد

• Multicultural and immigrant families
• Family counseling
• Parent-child relationships
• +۴ مورد دیگر

Grace H. Chung is a full-time Professor of Child and Family Studies at the College of Human Ecology, Seoul National University, where she has been teaching since March 2018. She serves as Director of the Family Environment Research Lab, focusing on multicultural and immigrant families, family counseling, and adolescent development. Her leadership roles include Director of the Seoul National University Human Ecology Research Institute (March 2023-July 2023), Vice Dean of Student Affairs for the College of Human Ecology (August 2021-July 2023), and Director of the Seoul National University Multicultural Life Education Center (September 2018-December 2022). Dr. Chung earned her Ph.D. in Human Development and Family Studies from the University of Illinois, Urbana Champaign in 2006, following an MA from the same institution in 2003. She completed her undergraduate studies in Biology at the University of California, Irvine in 1999. Her academic journey includes positions as Assistant Professor at Montclair State University in New Jersey (2008-2009) and Postdoctoral Fellow at UCLA (2006-2008). Her research focuses on multicultural and immigrant families and adolescents, couples and family counseling, parent-child relationships during adolescence, and family stress and adaptation. Through the Family Environment Research Lab, she investigates the adaptation and development of multicultural families and adolescents, as well as stress and resilience processes within family contexts. Her work examines how sociocultural environments, parenting, and family relationships impact adolescent well-being and overall family functioning, with future research expanding to relationship dynamics of couples and families from immigrant backgrounds. Dr. Chung's publications demonstrate strong focus on bi-ethnic identity, cultural adaptation, and family dynamics in multicultural contexts. Her recent work examines daily dynamics in family relationships, the impact of cultural adaptation stress on youth, and the effects of bilingual mentorship in early childhood settings. Her research bridges theoretical frameworks with practical applications for family counseling and multicultural education. Korean Home Economics Association Outstanding Dissertation Award (2023) Korean Family Relations Association Outstanding Dissertation Award (2023) Family and Quality of Life Society Outstanding Dissertation Award Dr. Chung has advised numerous graduate students, including PhD candidates Jang Yu-min, Hong Seong-hee, and Kim Hye-seong, as well as Master's students like Bae Han-jin and Park Jeong-min. Her students' research spans topics from multicultural family dynamics to adolescent development and family policy. She has secured multiple research grants, including projects funded by the National Research Foundation of Korea, Seoul National University Research Center, and Korea Youth Policy Institute, focusing on family adaptation, cultural integration, and adolescent development in multicultural contexts. As Director of the Family Environment Research Lab, Dr. Chung leads a team investigating family dynamics in multicultural contexts. She collaborates with various institutions including the Gwanak-gu Family Center, where she serves as a commissioned counselor and expert committee member. Her lab works closely with international organizations and participates in cross-cultural research projects examining family adaptation across different cultural contexts.

• Data Visualization
• Visual Analytics
• Big Data Analysis
• +۱۲ مورد دیگر

Professor Jang Yoon is a faculty member in the Department of Computer Engineering at Sejong University, South Korea. He currently holds the position of Daeyang Distinguished Professor and leads the Data Visualization Lab. His academic journey includes postdoctoral research at the Swiss National Supercomputing Center (2007-2009), ETH Zurich (2009-2011), and Purdue University (2011-2012). His educational background includes a Bachelor's degree from Seoul National University in Electrical Engineering (2000), and Master's and Doctoral degrees from Purdue University in Electrical and Computer Engineering (2002 and 2007). His academic progression at Sejong University shows his appointment as Assistant Professor (2012-2016), Associate Professor (2016-2022), and Professor (2022-present). Professor Jang's research spans multiple domains within data science and visualization, with primary focus on data visualization, visual analytics, and their applications in various domains. His work bridges theoretical computer science with practical applications in traffic analysis, healthcare, and smart city infrastructure. He has developed innovative techniques for spatiotemporal data visualization, volume rendering, and causal analysis in complex datasets. His recent publications (2023-2025) demonstrate a strong focus on integrating deep learning with visualization techniques, particularly in traffic analysis, volume rendering, and large language model interpretability. His work shows a clear trajectory toward combining causal inference with visual analytics, applying these methods to urban traffic systems, structural health monitoring, and public relations analysis. Professor Jang has served in numerous leadership roles in major visualization conferences including IEEE VIS, IEEE PacificVis (as General Chair in 2023), EuroVis, and HCI Korea conferences. His service contributions include program committee memberships and chair positions across multiple prestigious conferences in the visualization field. His laboratory work focuses on practical applications of visualization techniques with numerous patents registered in Korea. His research has resulted in multiple practical systems for traffic analysis, VR sickness detection, data quality improvement, and eye-tracking applications. The lab maintains strong industry connections through applied research projects addressing real-world problems.

Kwon Oh-jinمشاهده پروفایل

استاد

• Image/video compression
• Image quality enhancement
• Image fusion
• +۶ مورد دیگر

Professor Kwon Oh-jin is affiliated with Sejong University , where he serves in the Department of Electronic Engineering . His academic career spans over three decades, including a PhD in Electrical and Computer Engineering from University of Maryland (1994) and MS in Signal/Image Processing from University of Southern California (1991). His research focuses on image/video analysis , compression algorithms , watermarking systems , and steganography . Recent work explores machine learning-driven compression , 360-degree imaging , and JPEG standards implementation . His 15 most recent articles address topics like cybersecurity using CNNs , dynamic gesture recognition , and novel multimedia platforms for emerging standards. Professor Kwon leads the Visual Communication Research Lab (Chung923), supervising numerous PhD and MS students working on point cloud coding , JPEG privacy , and AI-based image coding . He has received multiple government and industry grants from organizations including the Agency for Defense Development and Ministry of National Defense .

Shin Dong-ilمشاهده پروفایل

استاد

• big data processing systems
• multimedia technologies
• Internet technologies
• +۲ مورد دیگر

Shin Dong-il is a Professor in the Department of Computer Science and Engineering at Sejong University. He co-founded the Multimedia & Internet Laboratory (MILAB) in 1998, establishing a significant research center within the university's computer science infrastructure. The Multimedia & Internet Laboratory focuses on several key research domains including big data processing systems based on multimedia technologies, Internet technologies, and human-computer interaction. Professor Shin's research spans various computer engineering fields, contributing to Sejong University's research profile in information technology. Located in Yul 503B, the laboratory continues to maintain an active research presence as evidenced by its maintained website and facilities. Professor Shin's long-standing academic career since 1998 demonstrates his commitment to advancing computer science research and education at Sejong University.

Unil Yunمشاهده پروفایل

استاد

• Data Mining
• Pattern Mining
• Stream Mining
• +۱۰ مورد دیگر

Professor Unil Yun serves as a faculty member in the Department of Computer Engineering at Sejong University, leading the Data Mining Lab (DM Lab) located in Chung 406A. His contact details include email (yunei@sejong.ac.kr) and phone (02-3408-2902), with lab operations centered at DM Lab Homepage . His research spans critical domains in computational intelligence and data systems: Core data methodologies: Data Mining (Pattern/Stream/Rule Mining), Pattern Analysis, and Big Data Processing Web and infrastructure systems: Web Search and Mining, Internet-based Systems, and Database Applications Emerging applications: Machine Learning, Vehicle Data Analysis in Telematics, and cross-domain Data Analytics The DM Lab drives innovation in real-time data processing frameworks, with particular emphasis on streaming data architectures and scalable mining techniques for telematics and web-scale applications.

Lee Yuriمشاهده پروفایل

استاد

• Fashion Retailing
• Fashion Merchandising
• Consumer Behavior in Fashion
• +۴ مورد دیگر

Lee Yuri serves as Professor and Dean of the College of Human Ecology at Seoul National University, where she leads the Department of Clothing and Textiles and directs the Fashion Retail & Service Lab. Her academic career spans over two decades with significant contributions to fashion retailing, consumer behavior, and technology integration in the fashion industry. Bachelor's and Master's degrees from Seoul National University (1989-1995) Ph.D. in Clothing and Textiles from Virginia Tech (1996-2000) Her research explores the intersection of fashion, technology, and consumer psychology, with particular focus on generational differences in retail technology adoption, cross-cultural consumer behavior, and digital transformation in fashion retail. Recent work examines AI applications in design, contactless service encounters, and the psychological impact of social media on fashion consumption. Professor Lee's publication trends reveal a strategic shift toward interdisciplinary research bridging fashion, data science, and human-computer interaction. Her work increasingly addresses pandemic-era retail challenges, sustainability in secondhand markets, and generational divides in technology adoption, establishing her as a leading voice in empirical fashion consumer research. Korean Society of Clothing and Textiles Outstanding Academic Paper Award (2023) As Editor-in-Chief of the International Journal of Costume and Fashion and active board member in seven academic societies, Professor Lee mentors numerous graduate students while advancing research through editorial leadership. Her grant-funded projects focus on consumer behavior analytics and retail innovation, with recent collaborations spanning fashion technology development and cross-cultural market studies. She directs the Fashion Retail & Service Lab (Room 305, Building 222), which operates as a hub for empirical research on retail innovation, consumer psychology, and technology implementation. The lab maintains strong industry partnerships and has pioneered methodologies for analyzing digital consumer behavior in fashion contexts.

Lee Kang-iمشاهده پروفایل

استاد

• Child Development
• Parenting Education
• Family Policy
• +۴ مورد دیگر

Lee Kang-i is a full-time Professor of Child and Family Studies at Seoul National University’s College of Human Ecology , where she has been a faculty member since 2002. She currently serves as the Director of the Human Ecology Research Institute and previously held roles such as Head of Early Childhood Education and Vice Dean of Student Affairs . She is also the incoming President of the Korean Society for Child Studies and has served as President of the Korean Society for Human Development . Education: Ph.D. in Consumer and Child Studies, Seoul National University (1998) M.A. in Consumer and Child Studies, Seoul National University (1991) B.A. in Home Economics, Seoul National University (1989) Research Interests: Professor Lee’s research spans child development , parenting education , family policy , and multicultural family dynamics . Her work explores how parent-child relationships , school-family partnerships , and socioeconomic contexts influence children’s social-emotional development , academic achievement , and well-being . She is particularly focused on early childhood education , parental involvement , and policy interventions . Research Trends: Her recent publications examine AI-assisted learning , parental digital mediation , adolescent mental health , and multicultural integration . She employs longitudinal designs , advanced statistical modeling , and big data analytics to understand developmental trajectories and inform evidence-based policies. Awards & Recognition: President, Korean Society for Human Development (2022–2023) Director, Seoul National University Parent Policy Research Center (2015–2020) Editorial Director, Korean Society for Child Studies Advisory roles in Seoul Metropolitan Office of Education and local governments Grants & Projects: She has led or co-led over 20 major research projects funded by the Korea Research Foundation , National Institute for Lifelong Education , and Seoul National University , focusing on child development , parenting programs , and educational policy . Labs & Teams: She leads the Child Development Lab at SNU, collaborating with the BK21 Child Development Project , Childcare Support Center , and Parent Policy Research Center to conduct interdisciplinary research and policy outreach.

Sung-Eui Yoonمشاهده پروفایل

استاد

• Scalable Graphics
• Computer Vision
• Robotics
• +۶ مورد دیگر

Sung-Eui Yoon is a Professor at the Department of Computer Science, Korea Advanced Institute of Science and Technology (KAIST), where he leads the Scalable Graphics, Vision, & Robotics Lab (SGVR Lab). He also holds affiliations with KAIST AI, KAIST Robotics Program, and CS Robotics. His academic career spans over 15 years at KAIST, where he has established himself as a leading researcher in graphics, vision, and robotics. Dr. Yoon received his Ph.D. from the Department of Computer Science at the University of North Carolina at Chapel Hill under the advisory of Dr. Dinesh Manocha, completed a postdoc at Lawrence Livermore National Lab, and earned his B.S. and M.S. from the Department of Computer Science at Seoul National University. His academic lineage traces back to Carl Friedrich Gauss through a distinguished line of mathematicians and computer scientists. His research spans scalable graphics, vision, robotics, and AI problems, with a particular focus on real-time rendering, collision detection, motion planning, and image retrieval. Dr. Yoon's work bridges theoretical foundations with practical applications, resulting in numerous publications, tutorials, and workshops at major conferences including SIGGRAPH, ICRA, and CVPR. His publications demonstrate a consistent focus on scalability and efficiency in graphics and robotics systems, with recent work emphasizing deep learning applications in image search and advanced motion planning algorithms for robotics. His research has evolved from foundational work in massive model rendering to cutting-edge applications in robotics and AI. Among his notable recognitions are the Outstanding Paper Award at ICRA 2023, Outstanding Navigation Award Finalist at ICRA 2022, Next-Generation Scientist Award (IT category) in 2019, and Technical Innovation Award from KAIST in 2018. Dr. Yoon has advised 4 Ph.D. students at KAIST between 2007-2014 and has secured numerous research grants supporting his lab's work. He has also authored influential books including "Rendering" (2018) and "Real-Time Massive Model Rendering" (2008). His teaching portfolio includes graduate courses on Web-Scale Image Retrieval, Motion Planning, and Graduate-level Computer Graphics, as well as undergraduate courses in Computer Graphics and Data Structures.