Senior Researcher, Korea Institute of Science and Technology Information

Session 2 Speakers

Urban Flooding Prediction solution

Dr. Dongmin Jang has been working at the Korea Institute of Science and Technology Information from September 2014 to the present, and has developed a real-time flood prediction solution to solve flooding issues. Currently, Dr. Jang is developing artificial intelligence technology using IoT sensing data in relation to flooding.

Assistant Professor, Urban Analytics Lab, National University of Singapore

Session 3 Speakers

Emerging data sources, crowdsourcing and AI techniques in Urban Sensing

Filip Biljecki is assistant professor in geoinformatics at the National University of Singapore where he established the NUS Urban Analytics Lab. His background is in Geomatic engineering. He received an MSc and a PhD degree (cum laude) from the Delft University of Technology in the Netherlands, specialising in 3D city modelling & digital twins. Filip has been involved in the Open Geospatial Consortium as Co-Chair.

Research Fellow, Research Planning, Seoul Institute of Technology

Session 3 Speakers

Application of AI/Robotics-based Technologies for solving Social Issue in Seoul

Dr. Sung-Kyun Shin has been conducting field observation and modeling research on atmospheric environment, particularly on the remote sensing technology; satellite, lidar and the radiation transfer model. After working for University of Hertfordshire, in U.K, he moved to his current position as a research fellow of Seoul Institute of Technology (SIT) in Seoul in 2019.

Senior Researcher, Division of Urban Infrastructure Research, Seoul Institute of Technology

Session 3 Speakers

Smart snow removal method based on IoT and big data

Ph.D. in Civil Engineering Researcher at KEKRI(Korea Expressway Corporation Research Institute).

Principal Researcher, Smart City of Department, Seoul Institute of Technology

Session 3 Speaker

Smart Mobility Analysis Using Big Data

He obtained a doctorate in transportation engineering from Dankook University and has research experience at KOTI, KICT, and Transportation Science Research Institute of the KoRoad.
His main research contents are traffic operation, road facilities, and facilities related to autonomous vehicles.

Professor, Hongik Univeristy

Session 3 Panelist

Sangho Choo has been a professor in the Department of Urban Design and Planning at Hongik University since 2010. Before joining the faculty, he worked for about ten years at the Korea Transport Institute and was the director of Korea Transport Database (KTDB) Center from 2008 to 2010. He earned a Ph.D. degree in Civil and Environmental Engineering at the University of California, Davis and received the C.V. Wootan Award for the best Ph.D. dissertation on transportation planning and policy in 2005. Dr. Choo has specialized in the study of transportation planning, travel behavior, and big data for more than 25 years. He has authored or co-authored more than 100 refereed journal articles.

Director, Urban Monitoring Center, The Seoul Institute

Session 4 Moderator

Miree BYUN is Director of the Urban Monitoring Center. Her research area lies in Social changes, social policy and urban monitoring for enhancing the quality of citizen’s life. Her work focuses on international comparative study on government policy for urban competitiveness. She stayed a year at National Center for Digital Government of the University of Massachusetts Amherst as a visiting scholar and was a member of committee on Administrative Service of Seoul. Her publications include as follows, Social Issues in the Smart City Era and Tasks of the Seoul Metropolitan Government(2019), “An Empirical Analysis of the spatial Distribution and Flow Patterns of Seoul’s Single-Person Households”(2019) “Is Seoul Socially innovative?”(2019), 2019 “ Exploring factors associated with commute mode choice: An application of city-level general social survey data“ , Transport Policy 75 (2019) 36-56 ” Strategic Foresight in Seoul : 2040 Seoul (2017)“, “Inequality in Seoul” (2016), “Happiness in Seoul” (2016), “Social Innovation and the Role of the City” (2016), Seoul Sociology(2016) , “Population Changes and Social Issues in Seoul,” (2015) “Social Integration and Community Rebuilding Project in Seoul Metropolitan government”(2015) ), Single Person Household and Urban Policy in Seoul (2015)

Visiting Faculty, ISB Institute of Data Science, Indian School of Business

Session 4 Speakers

Using Big Data for Social Good in India

Dr. Avik Sarkar is currently associated with the Indian School of Business working and teaching in the areas of Data, Emerging Technology and Public Policy. At ISB, Dr Sarkar is headed the development of the India Data Portal, one stop portal for analysis and visualization of government data and working on the societal & policy aspects related to use of emerging technologies like artificial intelligence trustworthiness, ethics, data privacy, e-commerce policy, etc. Dr. Sarkar was the former Head of Data Analytics Cell and Officer on Special Duty (OSD) at NITI Aayog (National Institution for Transforming India Aayog) premier policy think-tank of the Government of India.  At NITI Aayog, Dr. Sarkar helped in developing India’s first AI Strategy and roadmap for use of data, analytics and artificial intelligence for Governance, Policymaking across various sectors for India’s inclusive growth and led efforts towards setting up the first High-Performance Computing based Data Analytics Lab and Energy Modeling Unit at NITI Aayog.

Dr. Sarkar is a multiple TEDx speaker and has been nominated among the “Top 10 Data Scientists in India” in 2017 by the Analytics India Magazine and nominated as “LinkedIn Influencer” in the Technology space in 2015 for contribution and engaging discussions on the LinkedIn platform in areas related of Big Data, Artificial Intelligence, Data Science, etc. Dr. Sarkar actively participates in policymaking and regulations through various government committees in advisory role like the Bureau of Indian Standards (BIS) committee for setting standards for “Artificial Intelligence”, United Nations Big Data & Data Science group enabling big data usage across nations, Science & Policy advisory committee of the Ministry of Science & Technology and Analytics Advisory committee for Government e-Marketplace (GeM

Dr Sarkar has over 20 years of experience across different aspects of artificial intelligence, data science, analytics, statistical modelling, text mining, network analysis  across companies like Accenture, IBM, Nokia, NASA, Persistent Systems, Zycus, etc. At Accenture Consulting in Singapore, he contributed to various data and analytics related engagements with the Singapore Government like  efficient reporting and resolution of municipal issues,  evaluation and monitoring of secondary school education, improving operational efficiency in immigration and customs.  Dr. Sarkar holds a PhD from The Open University, UK, Masters from Indian Institute of Technology (IIT) Bombay and a Bachelors from Calcutta University.  Dr. Sarkar has authored several technical publications and technology patents. Further details: https://in.linkedin.com/in/aviksarkar

Senior Research Fellow, Urban Monitoring Center, The Seoul Institute

Session 4 Speakers

Finding Policy Targets using Pseudonymized Big Data: The Case of One Person Household in Seoul

The purpose of this study is to analyze data for the use of policies that can identify the characteristics of various single-person households through a pseudonymized “Seoul Living Data.”

Single-person households were categorized by considering communication, movement, leisure, and social relations of civic life data as explanatory variables. By doing so, we could define the lives of Seoul citizens who were not observed with existing statistical d

Head, Seoul Public Investment Management Service, The Seoul Institute

Session 4 Speaker

A Study on Big Data based Methodology of Classification and Demand Estimation for Public parking lot

Dong-Guen Kim is a Research Fellow at Seoul Public Investment Management Service of The Seoul Institute. His research interest is feasibility study, demand estimation and cost-benefit analysis. He received a BS degree in Industrial System Engineering from Yonsei University, and M.S. and Ph.D. degrees in industrial engineering from KAIST.

Associate Research Fellow, Dept. of Transportation System Research, The Seoul Institute

Session 4 Speaker

Using Bigdata for Estimating O/D Matrix – With Trip Purpose Inferencing

Ph.D. of Transportation Engineering, working at Seoul Institute

Work Experience
Seoul Institute(2020.11~now), Seoul National University R&DB Foundation(2020.03~2020.10)

Educational Background
Ph.D. of Transportation Engineering at Dept. of Civil & Environmental Engineering, Seoul National University(2020.02)

Publications & Articles
Recurrent Neural Network for Estimating Speed Using Probe Vehicle Data in an Urban Area, Transportation Research Record, Vol. 2676, Issue 1

Professor, Urban Engineering, Mokwon University

Session 4 Panelist

Eunmi Park is professor of urban engineering at Mokwon University. She did her PhD in transportation engineering at Texas A&M University. She received her B.S and M.S in Seoul National University. Her main research interest is design and development of business intelligence system especially in the transportation field.

Transportation & Logisistics, Gyeonggi Research Institute

Session 4 Panelist

Ph.D. in transportation engineering from Kyoto University in Japan. Research areas in Gyeonggi-Do: Traffic safety, ITS(Intelligent Transportation Systems), and Autonomous vehicles

Associate Professor, Dept. of Urban and Planning and Design, University of Seoul

Session 5 Moderator

Dr. Myounggu Kang holds a Master in City Planning (MCP) and a PhD from MIT and a Bachelor and a Master from Seoul National University. He has been appointed Professor of Urban and Regional Planning at the University of Seoul since 2006, where, next to his appointment, he is the Director of Urban Big Data and Artificial Intelligence Institute (UBAI), Director of Smart City Research Center (SCRC) and the editor of the International Journal of Urban Sciences (IJUS). He also serves as a senior urban specialist at the World Bank. Former appointments include the position of the Vice President of International Affairs at the University of Seoul, and the Director-General of International Urban Development Collaboration at Seoul Metropolitan Government (SMG), among others.

Professor, Urban Administration, University of Seoul

Session 5 Moderator

Professor Mingyu Kang’s research focus lies at the intersection between urban planning, statistical modeling, and spatial data visualization including GIS. In his recent studies, he has focused on the quantification of human behaviors in urban environments using sensor-based mobility big data. He is also interested in the interactions between urban development patterns and various urban indicators such as carbon emissions, travel behaviors, and economic productivity. Prior to joining the school, Dr. Kang served as a researcher at the Korea Research Institute for Human Settlements where he conducted many research projects tied to national territorial plans. He earned his Ph.D. in Urban Design and Planning at the University of Washington, Seattle, in 2019 and obtained his bachelor’s (political science) and master’s (city planning) degrees from Seoul National University.

Research Scientist, Center for Studies in Demography and Ecology, University of Washington

Session 5 Speakers

Built Environment and Walkability: Data Driven Approaches for Measurement and Analysis

Philip M. Hurvitz is a research scientist at the University of Washington (UW) Center for Studies in Demography and Ecology (CSDE) and the UW Urban Form Lab. He specializes in research on objectively measured built environment and health-related behaviors and outcomes. His research utilizes geospatial methods, large data sets, and free open-source software applications. He has extensive experience in the collection, processing, and analysis of ubiquitous sensor platform data (global positioning systems [GPS], body-worn accelerometers). As part of his work with graduate students in the Urban Form Lab, Dr. Hurvitz developed the “LifeLog” database format, combining GPS, accelerometry, and travel diary data in a single spatially and temporally explicit relational database framework. He also developed the “SmartMap” raster format, which front-loads geographic information systems (GIS) data processing, to allow rapid environmental measurements for large point data sets. Recent work has focused on the use of open-source GIS using PostgreSQL/PostGIS and the sf and R Markdown environments in R for reproducible workflows supporting research in built environment, physical activity, diet/nutrition, metabolic health, transportation, and community participation. Dr. Hurvitz studied at Seattle University and the University of Washington and holds a BA in humanities (1983), a Master of Forest Resources (1994) and a PhD in urban design and planning (2010). He has worked professionally as a GIS analyst, GIS instructor, Research Associate Professor of Urban Design and Planning, and currently serves on the CSDE Science Core as the Director of the UW Data Collaborative, a secure computing enclave for highly sensitive data. His duties include providing formal scientific consulting services for students, staff, and faculty as well as mentoring graduate students in social science, epidemiology, and environmental science. He is a key investigator on several grants funded by the US National Institutes of Health, primarily as the spatial informatics lead.

Assistant Professor, Department of AI , University of Seoul

Session 5 Speaker

hortcut Learning in Machine Learning: Challenges, Analysis, Solutions

Kyungwoo Song is an assistant professor at University of Seoul, and he is the director of the Machine Learning and Artificial Intelligence Lab. His research in machine learning focuses on multimodal learning, invariant representation learning to improve the generalization performance, and its application to the diverse domain (e.g., medical) for the machine learning deployment in the real world. He earned a Ph.D., M.S., and B.S. from KAIST. In 2018, he was visiting researcher at Naver Clova AI.

Assistant Professor, Department of Physics, University of Seoul

Session 5 Speakers

Network science for understanding complex urban phenomena and urban big data

Dr Young-Ho Eom is an assistant professor in the department of physics at the University of Seoul. He obtained his BSc, MSc, and PhD in Physics at KAIST. He was a Chancellor’s Fellow (equivalent to assistant professor in US or Korean universities) in the department of mathematics and statistics at the University of Strathclyde from 2016 to 2020. His research fields range from complex systems and statistical physics to network science, collective behaviors, and urban phenomena.

Associate Professor, Dept. of Urban Big Data Convergence, University of Seoul

Session 5 Speaker

A study about RPA of ‘120 Dasan Call Center’ using text to table.

(2007) Seoul National University, Statistics Ph.D
(2008-2014) Full time lecturer/Assistant Professor, Hoseo Univeristy
(2014-2020) Assistant/Associate Professor, Kyonggi University
(2020-current) Associate Professor, Dept. of Urban Big Data Convergence, University of Seoul

Professor, School of Cities, University of Toronto

Session 6 Speakers

The Role of City Data Standards in Achieving Cooperation in City Services

Dr. Fox is a Distinguished Professor of Urban Systems Engineering, Professor of Industrial Engineering and Computer Science, Director of the Urban Data Centre in the School of Cities, and Founding Director of the Centre for Social Services Engineering at the University of Toronto. Dr. Fox pioneered the field of Constraint-Directed Scheduling and the development of Ontologies for modelling Enterprises. He is currently investigating the application of Ontologies to the representation and utilization of urban knowledge, including social services, transportation and water & sanitation. He is actively involved in the development of international standards city data based on his urban ontology research, including ISO/IEC 21972 “Upper level ontology for smart city indicators” and the ISO/IEC 5087 series of “City data model” standards. Dr. Fox is also an entrepreneur having co-founded Carnegie Group Inc. in 1984, a software company that specialized in Artificial Intelligence-based systems, and co-founded and was CEO of Novator Systems Ltd., a pioneer in E-Retail software and services. Dr. Fox is a Fellow of Association for the Advancement of Artificial Intelligence, Institute for Electrical and Electronic Engineering, and the Engineering Institute of Canada. Dr. Fox has published over 250 papers.

Statistics Korea, Big Data Statistics Division, Deputy Director

Session 6 Speaker

Nowcast portal service-Breaking socio-economic indicators!!

Assistant Professor, Department of Statistics, University of Seoul

Session 6 Speaker

New Information through Bigdata fusion: Focusing on Seoul Citizens’ Living Data

I am associate professor, department of statistics, University of Seoul. I worked in Seoul Metropolitan Government as Director-General of Statistics & Data from 2017 to2018. My main interest is computation for machine learning and its application to unbar data analysis.

officer, Bigdata Division, Seoul metropolitan government

Session 6 Speakers

Seoul real-time city data for a better smart city

Wonjae Lee has been working in the Big Data Division of Seoul metropolitan goverment for 7 years. He participated in big data analysis projects, such as location analysis of public facilities and fire prediction analysis, Currently, he is in charge of developing fusion data using public and corporate data as a big data curator. He has promoted the Seoul real-time city data project, and he plans to present Seoul real-time city data at this forum.

Deputy director, Department of Big Data, National Pension Service

Session 6 Panelist

He was born in Seoul and lived there continuously, but moved to Jeonju in 2015 due to the relocation of NPS to the provinces.  With the introduction of the DW system in the industrial complex in 2005, he is working data analysis began. He was promoted the construction of big data systems in 2017, the construction of big data platforms in 2021, and the construction of big data portals. Also, he is currently carrying out the activation of data-driven economy based on big data platforms.

Professor, Dept. of Advanced Industry Fusion, Konkuk University

Session 6 Panelist