Keynote Speaker 1

Professor Jooyoung Lee
Professor of Computational Science,
School of Computational Sciences,
Korea Institute for Advanced Study, Korea.

Specialization: Bioinformatics, Global Optimization

Title: Global Optimization by Conformational Space Annealing and its Application

Abstract: Many problems in science and engineering can be mapped into combinatorial optimization problems, and examples include protein folding problem, protein structure prediction/determination problem, materials design problem, and community/module detection problem in the network science. In this talk, I will discuss our recent progresses in solving these problems in terms of the application of the Conformational Space Annealing (CSA) method.

Acknowledgments: Computation was carried out using KIAS Supercomputers (Center for Advanced Computation) and this work was supported by the National Research Foundation of Korea (NRF) under Grant No. 2008-0061987 funded by the Korea government (MEST).


  1. Jooyoung Lee, Harold A. Scheraga, and S. Rackovsky, J. Comput. Chem., 18, 1222-1232 (1997).
  2. Julian Lee, In-Ho Lee, and Jooyoung Lee, Phys. Rev. Lett., 91, 080201 (2003).
  3. Jae-Sung Woo, Jae-Hong Lim, Ho-Chul Shin, Min-Kang Suh, Bonsu Ku, Kwang-Hoon Lee, Keehyoung Joo, Howard Robinson, Jooyoung Lee, Sam-Yong Park, Nam-Chul Ha and Byung-Ha Oh, Cell 136, 85-96 (2009).
  4. Juyong Lee, Steven P. Gross and Jooyoung Lee, Phys Rev E, 85, 056702 (2012).
  5. Juyong Lee, Steven P. Gross and Jooyoung Lee, SCIENTIFIC REPORTS, 3, 2197 (2013).
  6. In-Ho Lee, Jooyoung Lee, Young Jun Oh, Sunghyun Kim, and K. J. Chang, Phys Rev B 90,115209 (2014).
  7. "Template based protein structure modeling by global optimization in CASP11" Keehyoung Joo, InSuk Joung, Sun Young Lee, Jong Yun Kim, Qianyi Cheng, Balachandran Manavalan, Jong Young Joung, Seungryong Heo, Juyong Lee, Mikyung Nam, In-Ho Lee, Sung Jong Lee and Jooyoung Lee, PROTEINS: STRUCTURE, FUNCTION, AND BIOINFORMATICS, published on line 14 SEP (2015).
  8. "Contact-assisted protein structure modeling by global optimization in CASP11", Keehyoung Joo, InSuk Joung, Qianyi Cheng, Sung Jong Lee and Jooyoung Lee, PROTEINS: STRUCTURE, FUNCTION, AND BIOINFORMATICS, published online 11 JAN (2016).

Keynote Speaker 2

Professor Hiroyuki Iida 

School of Information Science,
Japan Advanced Institue of Science and Technology (JAIST),
1-1 Asahidai, Nomi, Ishikawa, 923-1292, Japan.
Phone +81-761-51-1290, Fax +81-761-51-1149
Email: iida alias

Specializations: Intelligence Games, Games Refinement Theory

Title: Game Theory, Game Refinement Theory and Gamification

Abstract: Game theory (Nash 1950) is used to study the game play. Games should be fun to play for all the players irrespective of the level of expertise. Game refinement theory (Iida 2004) studies the entertainment and intelligence part of games. Earlier works on game refinement theory resulted in the development of a logistic model of game uncertainty based on the principle of seesaw games (Iida 2013). Further studies resulted in a model based on the game information progress for various games. The second derivative, which is the acceleration in game information dynamics, was derived from the game information progress model to determine the game refinement value (Sutiono 2014). It is expected that the game refinement theory will be widely used as a tool to assess the quality of various types of games in the framework of gamification.

Keynote Speaker 3

 Professor Ali Selamat 

 Department of Software Engineering
Faculty of Computer Science & Information Systems
Universiti Teknologi Malaysia (UTM)
81310 Johor Baharu, Johor, Malaysia

Specializations: Software Engineering and Computational Science

Title: Information-Centric Networking for Future Internet Architecture

Abstract: I

Keynote Speaker 4

Professor Yong-Jin Park
Faculty of Computing and Informatics
Universiti Malaysia Sabah
Kota Kinabalu, Sabah Malaysia.

Specializations: Future Internet, Ubiquitous Sensor Networks, Mobile Ad-Hoc Networks, CPS (Cyber Physical Systems)

Title: Information-Centric Networking for Future Internet Architecture

Abstract: Information Centric Networking (ICN) has been attracting attention as a promising future Internet architecture. The recent network usage is information-centric rather than host-centric. ICN accesses information by using its information object name, instead of a location address like the current IP network. In this talk the background and technological features of ICN are described. NDN (Named Data Networking) is described in detail as the typical ICN technology. The research activities at Waseda University are also introduced, including the GreenICN project which is EU-Japan Cooperation Research. Finally, the applications to IoT and 5G mobile communication and perspectives of ICN are mentioned.