The 14th National Conference on Computing and Information Technology

The huge amount of raw data generated by government, industry and business, commonly known as Big Data, require more and more efficient tools to turn them into useful information and knowledge. The 14th National Conference on Computing and Information Technology provides an exchange of the state of the art and future developments in the five key areas of this process: Data Science and Machine Learning, Data Network and Communication, Human-Computer Interface and Image Processing and Information Technology and System Engineering and Learning Science. Behind the background of the foundation of society, it becomes clear that efficient languages, business principles and communication methods need to be adapted, unified and especially optimized to gain a maximum benefit to the users and customers of future IT systems.

The NCCIT2018 will be organized by King Mongkut’s University of Technology North Bangkok (KMUTNB) and partner institutions from Thailand and abroad.


The conference is to be a platform for providing and exchanging information, knowledge, skills, and experiences in the field of computing and information technology.

Invited Speakers

Professor Dr.Chris Biemann, Universität Hamburg

I am the head of the Language Technology group at Universität Hamburg. My PhD research was focused on unsupervised knowledge-free methods in language processing: how much structure can computers detect on their own in text data? After, I widened my scope and concentrate mainly on lexical semantics, as well as NLP applications including speech. As a group, we have deep expertise in sparse, graph-based models of word meaning. I believe publicly funded research should be available for anyone interested in it, which is why I strive to make publications and software available in open access and open source under lenient licenses.

I am professor (W2) for Language Technology, Computer Science Dept., MIN Faculty, University of Hamburg. My research interests are statistical, unsupervised and knowledge-free natural language processing in the structure discovery paradigm, in particular statistical semantics. Further, I am interested in leveraging crowdsourcing as a source for linguistic annotations and in the development of Cognitive Computing applications.

Professor Dr.Martin Hagan, Oklahoma State University

Dr. Hagan has taught and conducted research in the areas of statistical modeling and control systems for the last thirty years. His research has encompassed a variety of application areas: seismic signal processing, genetic pathway modeling, optimal portfolio management, electric load prediction, flight simulators, precision pointing systems, diesel engines, adaptive flight control and friction compensation.

He has received grants from Boeing, Texas Instruments, Halliburton Energy Services, Cummins Engine Company, National Science Foundation, Air Force Office of Scientific Research, California Public Employees Retirement System (CalPERS), Amgen, and FlightSafety International.


  • This conference will be a potential starting point to provide information, articles, research and development, inventions and discoveries of new findings in computing technology in order to solve the problems of Thai society and the Thai nation.
  • The participants will be able to exchange and disseminate ideas, information, innovations, skills and experiences in the field of computing and information technology and can develop and apply them to solve the problems in their workplaces.
  • The conference will provide society with a better understanding of computing and information technology in order to gain a wider vision. Furthermore, it will enable participants to effectively put into practice what they have learnt.