Nowadays, the advancement of computational theories and computing technologies allows complex physical problems that are inaccessible to analytical and experimental approaches to be solved by computers. The research unit for computational engineering and science (CES) conducts research related to this relatively new interdisciplinary field. Our team includes experts from the fields of engineering, science, and information technology. This diversity allows the team to deal with a wide range of engineering and science problems that are not possible to solve analytically or are too expensive to study experimentally. Examples of these problems include structural optimization, analysis of structures with geometrical and material nonlinearities, mechanical contact analysis, analysis of human structures, product design, material design, and computer-aided molecular modeling and design. In addition to solving problems, the research unit also aims to develop software and tools for solving problems.
The main objective of the CES research unit is to conduct fundamental and applied research in the field of computational engineering and science. The emphasis is on the following areas:
The main knowledge tools used in the study of the above research areas will include the following:
The members of the CES research unit and their expertise are as follows :
|Prof. Dr. Pruettha Nanakorn
Computational mechanics, Design automation, Finite element methods
|Prof. Dr. Stanislav Makhanov
Robotics, Image processing, Pattern Recognition, Grid generation
|Assoc. Prof. Dr. Ekawit Nantajeewarawat
Knowledge representation, Computational logics, Formal ontologies, Semantic Web, Information Extraction, Object-oriented system analysis and design
|Assoc. Prof. Dr. Luckhana Lawtrakul
Computer-aided molecular modeling and molecular design, Structure-activity relationships, Conformational analysis
Asst. Prof. Dr. Cholwich Nattee
Artificial intelligence, Machine learning, Knowledge discovery and data mining, Artificial intelligence applications in distance learning, and Pattern recognition
|Assoc. Prof. Dr. Nirattaya Khamsemanan
Algebraic topology, Cryptography, Intelligent User Interface (IUI), and Machine learning
The CES research unit is equipped with high-performance computers and advanced engineering software applications for solving complex problems in engineering and science. In addition, the CES research unit also has easy access to testing facilities at SIIT and Thammasat University, which allow the validation of numerical results through experiments, if required.
V. Scholarship Opportunities
Several full and partial scholarships for graduate students in the fields related to computational engineering and science are available at SIIT. Some scholarships include living stipends. More details and application forms can be found at www.siit.tu.ac.th/graduate_general_en.htm.