Selected Students for Registration Fees: 14,000 THB/460 USD
- IC2IT2018-22: Combining Multiple Features for Product Categorisation by Multiple Kernel Learning
- IC2IT2018-32: Knowledge Discovery from Thai Research Articles by Solr-based Faceted Search
- IC2IT2018-72: Enhanced Manhattan-based Clustering using Fuzzy C-Means Algorithm
- IC2IT2018-73: Subset Sum-Based Verifiable Secret Sharing Scheme for Secure Multiparty Computation
- IC2IT2018-88: Performance Analysis of Lossless Compression Algorithms on Medical Images
The 14th International 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 International Conference on Computing and Information Technology provides an exchange of the state of the art and future developments in the two key areas of this process: Data Science and Machine Learning, Data Network and Communication. 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 IC2IT2018 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.
Professor Dr.Chris Biemann, Universität Hamburg
Chris Biemann obtained his doctorate in Computer Science / Natural Language Processing in 2007 from the University of Leipzig, before joining the San-Francisco-based semantic search startup Powerset, which was acquired by Microsoft to form the Bing.com search engine. In 2011, he got appointed as assistant professor for language technology in the computer science department at TU Darmstadt; since October 2016, Chris is professor for language technology at the University of Hamburg in Germany. His current research is focused on adaptive natural language processing in the cognitive computing paradigm, web-scale statistical semantic methods, machine learning from crowdsourcing signals and on applications in the humanities and social sciences. He has co-authored more than 150 peer-reviewed papers in the field of natural language processing. His research group regularly releases open datasets and open source software to the community.
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.
Topic: Are Neural Networks Black Boxes? A Drug Discovery Case Study
Faculty of Information Technology, King Mongkut’s University of Technology North Bangkok (KMUTNB)
FernUniversitaet in Hagen, Germany (FernUni)
Chemnitz University, Germany (CUT)
Oklahoma State University, USA (OSU)
Edith Cowan University, Western Australia (ECU)
Hanoi National University of Education, Vietnam (HNUE)
Gesellschaft für Informatik (GI)
Mahasarakham University (MSU)
Ubon Ratchathani University (UBU)
Kanchanaburi Rajabhat University (KRU)
Nakhon Pathom Rajabhat University (NPRU)
Phetchaburi Rajabhat University (PBRU)
Rajamangala University of Technology Krungthep (RMUTK)
Rajamangala University of Technology Thanyaburi (RMUTT)
Prince of Songkla University, Phuket Campus (PSU)
National Institute of Development Administration (NIDA)
Sisaket Rajabhat University (SSKRU)
Council of IT Deans of Thailand (CITT)
IEEE CIS Thailand
- 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.