Plenary Session
Plenary Talk I
Title : The Development of Smart Community: Case Study of Chiang Mai World Green City, Thailand
Speaker : Dr. Worajit Setthapun (sai)
Dean of the Asian Development College for Community Economy and Technology(adiCET), Chiang Mai Rajabhat University


Asian Development College for Community Economy and Technology (adiCET), Chiang Mai Rajabhat University aimed to be the green institution to facilitate the sustainable development of the local community. adiCET established the Chiang Mai World Green City (CMGC) as the living laboratory for green technologies to showcase real applications for sustainable living. CMGC is developed from over 50 sustainable energy research and development projects. CMGC consists of 3 distinct zones. The aim is to develop an affordable/appropriate sustainable energy system to enhance the livelihood and occupation of the community.


Dr. Worajit Setthapun is the Dean at the Asian Development College for Community Economy and Technology, Chiang Mai Rajabhat University, Chiang Mai, Thailand.  She received her MS and PhD from the Chemical Engineering Department from University of Michigan, Ann Arbor, and the post doctoral appointment at Argonne National Laboratory.  Currently, she manages the Graduate Program in Community Energy and Environment and oversees the Renewable Energy Research and Training Center. She established the Chiang Mai World Green City (CMGC) as the living laboratory for green technologies with 100% renewable energy-based Smart Community.  She was the ASEAN-U.S. Science and Technology Fellow and worked at the Ministry of Energy, Thailand on the Thailand’s Decentralized Community Power Project.  In addition, she was the recipient of 2016 ASEAN-US Women in Science Award for thematic area of sustainable energy. More information is available at
Plenary Talk 2
Title : How to Prepare Data for Deep Learning in Urban Autonomous Driving?
Speaker : Prof. Seung-Woo Seo
College of Engineering, Seoul National University



Over the decade, researchers have been investigating viable technologies to realize autonomous driving in urban environments. While large improvement has been made in technologies, there still remain many challenges that make autonomous driving hard in urban environments. Some of them are detection and tracking of a large number of moving objects in real time. Recently, for tackling these challenges, new technology based on the Deep Neural Network(DNN) has been widely adopted. While DNN has been verified as a powerful tool, it requires a significant amount of efforts in preparing data. Data pre-processing has become more important as we begin to rely heavily on sparser data sensors. In this talk, I discuss a few key issues of urban autonomous driving and introduce some recent technological advances. As well as many related core technologies, I also focus on several methods of preparing appropriate data, especially data pre-processing techniques for sparse and incomplete data. It is shown that data pre-processing is particularly useful in urban environments with many occlusions and complex road obstacles.


Seung-Woo Seo is a professor in the Department of Electrical Engineering at the Seoul National University, and Director of Intelligent Vehicle IT (IVIT) Research Center in Seoul. He received his Ph.D. from the Pennsylvania State University, and B.S. and M.S. degrees from Seoul National University, all in Electrical Engineering. He was a Faculty of the Department of Computer Science and Engineering at the Pennsylvania State University, and served as a Member of the Research Staff in the Department of Electrical Engineering at Princeton University. He was a visiting professor at Stanford University, Center of Automotive Research in 2014. He has served as a Chair or Committee Member in numerous international conferences and workshops. He was the General Co-chair of 2015 IEEE Intelligent Vehicle Symposium held in Seoul, and has been serving as a Member of the Steering Committee of the IEEE Transactions on Intelligent Vehicles. He has also served as an Organizing Committee Chair of the International Unmanned Solar Vehicle Challenge in 2012, and served for five years as a Director of the Information Security Center at the Seoul National University. He has been very active in the research of autonomous driving and has been making key technological achievements especially in autonomous driving in urban areas. He has developed an autonomous driving car called SNUver in 2015 and has successfully demonstrated autonomous driving in the city roads of Seoul in 2017 for the first time in Korea. His research areas include autonomous driving and information security. More information is available at