This initiative was established to create a learning and research community focused on data and information in various forms, such as statistical data, business data, biological data, image data, graphics data, and more. It aims to serve as a data repository, facilitating data analysis, research experimentation, and the development of software applications or data-driven solutions. Additionally, it seeks to become a knowledge hub, providing reference materials for data researchers. The key objectives include:
- Developing a Data Repository to support research both inside and outside the laboratory.
- Conducting data analysis and exploration for IT-related research.
- Developing software applications and IT systems to enhance technological applications.
- Collaborating with external research institutions, including government and private sectors.
- Organizing and participating in competitions related to data science and IT research.
- Providing a well-equipped research laboratory for training and skill development.
- Hosting academic training and seminars on research-related topics.
- Organizing workshops and symposiums to foster knowledge exchange and innovation.
This initiative aims to advance research, collaboration, and practical applications in data and information technology, fostering an innovative and knowledge-driven research community.
This facility is designed to test the quality of telephone systems over IP networks or Voice over IP (VoIP). It enables comprehensive analysis of both audio signal quality and data packet performance within IP networks. The system evaluation is conducted in two primary areas:
- VoIP Equipment Testing – Assessing hardware components for VoIP systems.
- Service Provider Signal Quality Analysis – Evaluating the quality of VoIP services offered by network providers.
Additionally, the facility provides VoIP system simulation and analysis services for real-world applications. This service is available to private sector organizations that are considering VoIP deployment but are unsure if their planned system will function as expected. The laboratory conducts system evaluation, network analysis, and real-world simulation testing to verify VoIP system performance before actual implementation.
The facility also assists in VoIP system design and fine-tuning, ensuring optimal performance and reliability before deployment. Furthermore, the laboratory is equipped with mobile phones and tablets to support research projects conducted by students and faculty members within the School of Information Technology.
This research laboratory focuses on learning, exploration, and research in developing frameworks for Information System (IS) development and identifying key success factors in the creation, implementation, and adoption of Information Technology (IT). It also emphasizes processes, methodologies, and techniques for effectively gathering, analyzing, and managing user requirements, ensuring accuracy, completeness, and reliability. This approach is critical for project success from a user perspective, beyond just technical achievements.
In addition, R-Lab extends its research to policy studies, IT planning, and evaluation at various levels. This includes:
- Guidelines for system auditing and acceptance testing in organizations.
- Evaluation of the success and impact of developed applications.
R-Lab also plays a complementary role in bridging and integrating technical research from other laboratories within the faculty. It ensures a comprehensive research process by addressing non-technical aspects of IS development.
To foster collaboration, the lab organizes regular research meetings, knowledge-sharing sessions, and academic activities involving students, researchers, and faculty members, supporting student research projects and enhancing the overall research environment.
Innovative Cognitive Computing (IC2) bring together researchers in the fields of cognitive computing, artificial intelligence, computational intelligence, neuroinformatics, and psychology.
Philosophy
The vision of IC2 is to enable us to “see” the (new) world in a different light. Thus enabling KMUTT to strive for technological excellence at the global level, and leading our graduates to have global skills at the forefront of technology.
Leading by example is an excellent way for personnel development. By having established toptier researchers guiding research development within KMUTT, we can disseminate the expertise to younger researchers more effectively.
IC2 (“I see too”) aims to bring together interdisciplinary and multidisciplinary researchers in the established/emerging fields of cognitive computing, artificial intelligence, computational intelligence, neuroinformatics, and psychology, with diverse focuses on basic theories as well as applications in industries, healthcare, and humanities in general.
The objectives are to have shared research, establish sustainable collaboration, with an aim for joint funding opportunities globally, and to train and exchange students and researcher.
The focus of IC2 is on the development of smart applications by leveraging natural language processing, machine learning and deep learning, information retrieval, data mining, HCI as well as psychology and human behavior.