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Ph.D. International Program in Computer Science

Located in Khon Kaen, the heart of northeastern Thailand, and hub of business area, industries and healthcare centers, the Department of Computer Science is at the frontier of interdisciplinary research between Computer Science, Information Technology and Geographical Information Systems. The department has conducted a wide range of advanced research activities in close cooperation with Thailand Research Fund (TRF), Offie of the Higher Education Commission. As a consequence, the Ph.D. International Program in Computer Science offers an excellent opportunity and environment for individuals who wish to pursue in-depth knowledge and advanced research in computer technology. Moreover, the fact that this is an international program makes it ideal for international students who are interested in oversea studies and cross cultural learning.

 

International Research Collaborations and Academic Innovation for Career Advancement

The Ph.D. in Computer Science International Program is designed to corroborate the existing Ph.D.Program in Computer Science and related areas. All research activities are conducted by the 9 laboratories,namely,

• Semantic Mining and Information Integration

 Laboratory (SMIL)

• Logistic and Supply Chain Laboratory (LSCL)

• Machine Learning and Intelligent Systems (MLIS)

 Laboratory

• Natural Language and Speech Processing

 Laboratory (NLSP)

• Applied Network Technology Laboratory (ANT)

• Advanced GIS Technology Laboratory (AGTL)

• Advanced Smart Computing Laboratory (ASCL)

• Hardware-Human Interface and Communications

 Laboratory (H2I-COMM)

• Ubiquitous Computing Laboratory (UCL)

Based on the above research spectra, the Program will expand the state-of-the-art that has already been established by its forerunning Ph.D. Program. Various innovations and technical know-how can then be realized through dissertation research. In addition, MOU formally signed by presidents among 20 public universities in Thailand regarding research and academic collaboration in PhD in CS programs will play important roles for the research advancement supporting Thailand 4.0. Industrial Collaborations will also be established to further enhance the potential of those innovative implementations for the benefis of the academic and industrial communities. Career advancement will consequently be augmented. Computing facilities are available through the department computer lab, as well as the 9 laboratories.

 

Financial Aids

• Graduate teaching and research assistantship

• Khon Kaen Univesity Scholarship

• Thailand Research Fund (TRF)

• National Research Council (NRC)

• Offie of the Higher Education Commission

 (OHEC)

 

General Information

A Master’s degree in Science or Engineering having

GPA no less than 3.25, or be approved by the program’s committee.

 

Tuition Fee

The academic year consists of two semesters.

The student must enroll at least 9 credit hours

in each semester for a total of 48 credits.

Tuition fee is 55,000 baht per semester.

 

Faculty Members

Sartra Wongthanavasu, Ph.D., Associate Professor

Asian Institute of Technology

Research areas: Artifiial Intelligence, Machine Intelligence, Cellular Automata, Computer Vision.

 

Somjit Arch-In, Ph.D., Associate Professor

Asian Institute of Technology

Research areas: Semantic Information Integration, Logistics and Supply Chain.

 

Ngamnij Arch-In, Ph.D., Associate Professor

Chulalongkorn University

Research areas: Information Integration, Semantic Web.

 

Chakchai So-In, Ph.D., Associate Professor

Washington University in St.Louis

Research areas: Computer Networking, Mobile Computing, Wireless Sensor Networks, Internet of Things, Computer and Network Security.

 

Pusadee Seresangtrakul, Ph.D., Assistant Professor

University of The Ryukyus

Research areas: Natural language and speech processing, machine translation, database.

 

Sirapat Chiewchanwatana, Ph.D., Assistant Professor

Chulalongkorn University

Research areas: Neural Networks, Machine Learning, Data Science.

 

Kamron Sunat, Ph.D., Assistant Professor

Chulalongkorn University

Research areas: Neural Networks, Machine Learning, Data Science, Optimization..

 

Urachat Kokaew, Ph.D., Assistant Professor

Assumption University

Research areas: Computer Graphics, E-Learning, Human-Computer Interaction, Augmented Reality.

 

Wararat Songpan, Ph.D., Assistant Professor

Chulalongkorn University

Research areas: Software Testing, Data Mining, Big Data Analytics.

 

Silada Intarasotornchan, Ph.D., Assistant Professor

King Mongkut’s Institute of Technology Ladkrabang

Research areas: Computer Networking, Software Security, Network Security. Programming Langauges.

 

Punyaphol Horata, Ph.D., Assistant Professor

Khon Kaen University

Research areas: Extreme Learning Machines, Machine Intelligence, Programming Languages.

 

Theerayut Tongkrua, Ph.D., Assistant Professor

King Mongkut’s Institute of Technology Ladkrabang

Research areas: Semantic Web, Ontology

 

Wachirawut Thamviset, Ph.D., Lecturer

Khon Kaen University

Research areas: Information Extraction, Web technology, Machine Intelligence

 

Chitsutha Soomlek, Ph.D., Lecturer

University of Regina

Research areas: Software Engineering, Software Process, Software Quality, Multi-Agent Systems, Computer Network Security.

 

Saiyan Saiyod, Ph.D., Lecturer

King Mongkut’s Institute of Technology Ladkrabang

Research areas: Computer Networking, Internet of Thing, Computer and Network Security, Human-Hardware Interface, Robotics.

 

Pawena Wunchai, Ph.D., Lecturer

Auckland University of Technology

Research areas: Business Intelligence, Enterprise Resource Planning and Modelling, Data Warehouse.

 

Sumontha Kasemvilas, Ph.D., Lecturer

Claremont Graduate University

Research areas: Human Computer Interface, Social Network, E-commerce, Healthcare Technology.

 

Mullica Watana, Ph.D., Lecturer

Chulalongkorn University

Research areas: Computer Vision, Search Protocol.

 

Apisak Patanachak, Ph.D., Lecturer

Khon Kaen University

Research areas: Smart City, Social Network, Management of Technology.