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Keynote Speaker


  - Speaker: Dr. Jongwook Woo(California State University Los Angeles)

  • Title: The History and Trend of Data Analysis and Prediction with Big Data and Artificial Intelligence
  • Abstract of the talk
    Big Data has been popular last 10 years using Hadoop and Spark for data analysis and prediction with large scale data sets in distributed parallel computing systems. Its platform has expanded using NoSQL DB and Search Engine as well and has been more popular along cloud computing. Then, Deep Learning has become a buzzword past several years using GPU and Big Data. It makes even small companies and labs to own supercomputers with a small amount of budgets, which is the situation of “Dream Comes True” in the IT and business. We live in the era of excitement and concerns from this drastic IT technical changes and recognize the movement of culture and wealth between major and startup companies and even between eastern and western worlds. In this talk, the history and trends of Big Data and AI platforms are introduced and its use cases should be presented.
  • Short bio
    Professor Jongwook Woo received his M.S. degree in Computer Science and Ph.D. degree in Computer Engineering in 1998 and 2001 respectively from University of Southern California (USC) and his B.S. and M.S. degrees in Electronic Engineering from Yonsei University in 1989 and 1991 respectively.

    Prof Woo is a Full Professor at the Information Systems Department of California State University Los Angeles and he served as a Technical Advisor of Isaac Engineering and Council Member of IBM Spark Technology Center and as a 39th president at KSEA-SC (Korean American Scientists and Engineers Association, Southern California Chapter) in year 2010-2011. He has consulted many companies in Hollywood such as CitySearch, ARM, E!, Warner Bros, SBC Interactive etc. He involves in Azure Big Data and Spark course development project in 2016. He published more than 40 papers and his research interests include Data Intensive Computing for Data & Predictive Analysis on Big Data, Data Integration/Retrieval, NoSQL DB, and e-Business and m-Commerce Architecture. He awards Teradata TUN faculty Scholarship in 2017 and received educational and research grants and partnerships in Big Data from Oracle Cloud, IBM Cloud, MicroSoft Azure, Amazon AWS, DataBricks, Cloudera, Hortonworks, Teradata, SAS, QlikView, Tableau, Wolfram, and Warner Bros. He is a founder of Hemosoo Inc and The Big Link for Big Data, eBusiness applications, and search.

  - Speaker: Dr. Zhen Yang(Beijing University of Technology)

  • Title: Security Reference Model for Industrial Internet Platform
  • Abstract of the talk
    The industrial Internet platform is a service system built based on collection, aggregation and analysis of massive data to meet the demand of digitalization, networking and intellectualization of manufacturing industry, and an industrial cloud platform used to support the ubiquitous connection manufacturing resources, elastic supply and efficient configuration. Its essence involves creating, via establishment of an accurate, real-time and efficient data acquisition system of Internet, a quality development environment for big data storage, integration access, analysis, management with the view to enabling a better production and utilization of the industrial technology, experience and knowledge. With this environment, a non-stop optimization of resource configuration will become increasingly possible for the R&D, production and management as a new win-win manufacturing ecology is taking shaping, characterized by better resources utilization, multiple participation, co-ordinated efforts. As the industrial Internet platform will serve as the hub for the industrial full element link, the establishment of the industrial Internet platform security reference model is very important for ensuring the information security of the platform, which will also provide infrastructure support and essential guarantee for the establishment of a security management system covering the entire industrial system. My talk will focus on the Internet platform security reference model (SRM-IIP) and how the SRM-IIP is established on the basis of analysis of industrial Internet security needs, risks and threats.
  • Short bio
    Zhen Yang is currently a full professor of computer science and engineering at Beijing University of Technology (BJUT). He is directing the DMS (Data Mining & Security at BJUT) Lab. His research interests include data mining, machine learning, trusted computing, and content security. He has published more than 30 papers in highly ranked journals and top conference proceedings. Yang and his groups have received the Wu Wen Jun AI Science & Technology Award (2017), the Beijing Excellent Talent (2013), the Chinese Institute of Electronics Science Award (2012). His current projects focus on two aspects of data analysis: Data Mining and Data Security. In data mining, he aspires to develop data mining and machine learning algorithms to discover unknown and actionable patterns hidden deep inside data. In data security, he strives to design and construct architectures and systems to enable data security.

  - Speaker: Dr. Armagan Elibol(Japan Advanced Institute of Science Technology)

  • Title: Optical Sea-Floor Mapping using Underwater Robots
  • Abstract of the talk
    Large scale optical mapping (mosaicking) methods are in great demand among scientists who study different aspects of the seabed, and have been fostered by impressive advances in the capabilities of unmanned underwater robots in gathering optical data from the seabed. This talk is intended to underline the capabilities, limitations and possible application areas of optical sea-floor mapping approaches opening a way to further develop new strategies and methodologies.
  • Short bio
    Armagan Elibol is a full-time faculty member (as an assistant professor) of Robotics Lab. at School of Information Science of Japan Advanced Institute of Science Technology (JAIST) since October 2018. Prior to that, he was an assistant professor at Department of Mathematical Engineering of Yildiz Technical University (YTU) and was an adjunct teaching faculty member of Computer Engineering Department of FMV Işık University in Turkey. He obtained a Ph.D. in Computer Science (2011) from the Computer Vision and Robotics Group of University of Girona, Spain, both B.Sc. and M.Sc. in Mathematical Engineering from YTU, respectively 2002 and 2004. He was a DAAD-supported visiting researcher at the Pattern Recognition and Bioinformatics Group of Martin-Luther-University Halle-Wittenberg in Germany during summer 2012. Afterward, He was with the Ocean Robotics and Intelligence Lab (ORIN). of Korea Advanced Institute of Science and Technology (KAIST) in Daejeon for one year as a postdoctoral researcher. During 2015, he was with the School of Integrated Technology of Yonsei University at Yonsei International Campus in Songdo-Incheon, Rep. of Korea. His research interests include the wide area of Computer Vision and Robotics. Lately, he integrates his experience on optical mapping to the humanoid research using different sensors and intelligent methodologies. He has authored several publications confirmed by Google Scholar(link)


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