Doctor of Philosophy
(Internet and Web Computing)

This research covers the areas of the Internet and the Web Computing in providing inter-disciplinary approaches to researchers from various fields of professionalism. Flexible learning approaches offer an opportunity for students to carry out studies to meet the needs of individual and individual practice by field. This research also aims to enable students to reinforce their understanding based on the concept of cross-border knowledge through research. This research is carried out with a continuous, critical research approach that studies the basis of knowledge based on educational practices, synthesizes research results, and reaches appropriate conclusions. Students will also be able to make appropriate suggestions related to the internet and web computing.

The program can be completed within :

Full-Time : 6 semester (minimum) – 10 semester (maximum)

Part-Time : 8 semester (minimum) – 14 semester (maximum)

**Students are required to attend at least one course of research methodology (GRU70104) throughout the study and meet the requirements of the audit course. Students may also be required to attend other courses on the Faculty’s proposal and meet the audit course requirements.

 

– Web-based applications and platforms, this could involve studying the development, design, and implementation of web applications, exploring innovative approaches to enhance user experiences, security, and scalability.

– Data mining and web analytics, this research could revolve around analyzing large-scale web data, developing algorithms or techniques to extract meaningful information, and understanding user behavior and patterns.

– Social media and networking, this area could involve investigating the impact of social networks, studying network dynamics, and developing models or algorithms related to social media platforms for communication, collaboration, and content sharing.

– Internet of Things (IoT) and connected devices, exploring the challenges and opportunities presented by the IoT, such as designing efficient protocols, developing security measures, or investigating the integration of IoT devices within web environments.

– Web security and privacy, the research in this field could focus on identifying vulnerabilities, designing secure systems, and developing privacy-preserving algorithms or techniques to safeguard user data and online activities.

– Cloud computing and distributed systems, this area may involve studying the design and implementation of cloud platforms, developing resource allocation models, investigating load balancing techniques, or exploring fault-tolerance mechanisms within distributed systems.