Program Name

Doctor of Philosophy Program in Computer Engineering (Ph.D. Computer Engineering)

About the Department

The Department of Computer Engineering at Prince of Songkla University offers graduate programs at both the master’s and doctoral levels. These programs were revised in 2021 to ensure international academic quality and alignment with the rapid development of computer technology. The department emphasizes advanced research and the integration of expertise across five key academic groups:

• Information Engineering
• Computer System Design
• Embedded Systems and Internet of Things (IoT)
• Computer Networks
• Computer Control Systems and Intelligent Systems

Vision

The department aims to produce graduates with high-level knowledge and integrity while generating international-quality academic research in computer engineering

Mission

• To produce graduate-level alumni who are highly capable, skilled, ethical, and competent in advanced engineering
• To create and disseminate research and innovations of international quality
• To enhance teaching excellence through active learning and industry-integrated education (Work Integrated Learning)
• To promote academic collaboration with external organizations, both public and private, to apply computer knowledge to the industrial sector

Program Educational Objective

To produce graduates with knowledge and skills in computer engineering, particularly in advanced artificial intelligence, who are capable of creating new knowledge or innovations in computer engineering through research processes, integrating them into digital technologies that address societal needs and challenges, while adhering to professional ethics.

Program Learning Outcomes (PLOs)

• PLO1: Apply knowledge in computer engineering and artificial intelligence engineering to holistically solve problems related to digital technology.
• PLO2: Create new knowledge or innovations in computer engineering and artificial intelligence engineering through research processes to improve the performance of digital technologies.
• PLO3: Retrieve and utilize academic information in computer engineering and artificial intelligence engineering for continuous learning.
• PLO4: Communicate academically in English accurately and effectively.
• PLO5: Work collaboratively with others to achieve common objectives.
• PLO6: Adhere to professional ethics and demonstrate responsibility toward oneself and society.

Catalog Description

Courses / Modules

Core Courses (for Plan 1.2)

Course Code	Course Title	Credits
200-501	Research Methodology in Engineering*	3
200-502	Seminar in Engineering*	1
240-702	Computer Engineering Seminar I*	1
240-703	Computer Engineering Seminar II*	1

* Required courses but not counted toward credits. Students must receive an “S” grade.

Remarks

For both study plans, students are required to present thesis progress reports in each semester as specified by the program committee.

For both study plans, if the program committee and/or thesis advisor determines that a student needs additional background in computer engineering, the student may be required to enroll in related courses on an audit (non-credit) basis to support their thesis work. This is subject to the discretion of the program committee and the thesis advisor. Students must obtain a grade of not lower than “S.”

Thesis

Plan	Credits
Plan 1.1	48
Plan 1.2	72

240-900 Thesis — 48 credits
240-901 Thesis — 72 credits

Study Plans

1. Doctoral Degree Structure

Plan 1.1	48 Credits
Thesis	48 credits
Plan 1.2	72 Credits
Thesis	72 credits

Thesis advisor specialization

Prof. Dr. Mitchai Chongcheawchamnan (mitchai.c@psu.ac.th)	Microwave Engineering, RF and Wireless Communication Systems, Antenna and Filter Design, High-Frequency Circuit Design, Electromagnetic Compatibility (EMC)
Assoc. Prof. Dr. Pichaya Tandayya (pichaya.t@psu.ac.th)	Parallel and Distributed Computing, Distributed Simulation Systems, Computer Architecture, Assistive Technology (Braille Systems)
Asst. Prof. Dr. Thanate Khaorapapong (kthanate@fivedots.coe.psu.ac.th)	Automatic Control Systems, Control Systems Engineering, Industrial Automation, Embedded Control Systems
Assoc. Prof. Dr. Panyayos Chaikarn	Digital Signal Processing (DSP), Embedded Systems, Image and Signal Processing, Intelligent Systems
Assoc. Prof. Dr. Sangsuree Vasupongayya	Artificial Intelligence, Data Analytics, Interdisciplinary Engineering Systems, Machine Learning Applications
Asst. Prof. Dr. Kritwara Rattanaopas	Natural Language Processing (NLP), Large Language Models (LLMs), Information Retrieval & FAISS, Knowledge Graphs / Semantic Systems
Asst. Prof. Dr. Nikom Suwanvar	Computer Networks, Network Security, Distributed Systems, IoT Systems
Asst. Prof. Dr. Petcharat Suriyaicha	Software Engineering, Data Management Systems, Web and Application Development, Information Systems
Dr. Thanathip Limna	Cloud Computing, Backend Systems, Distributed Architecture, Software Systems Engineering
Asst. Prof. Dr. Sahapong Somwong	Artificial Intelligence, Computer Vision, Machine Learning, Pattern Recognition

Thesis topics

2020

1. Distributed Denial of Service (DDoS) Attack Detection Mechanism on Software Defined Networking (SDN)
2. Enhancing the Privacy and Security of Personal Health Record System Using Blockchain Technology
3. Adaptive Phishing Detection on Android Smartphone
4. Feature Selection for Document Classification Using Meta-heuristic and Traditional Approaches
5. Deep Event Understanding Model Based on Bayesian Belief Network for Emergency Management

2021

1. Customer Feedback Analysis Applying the RFC Model, Hybrid Sentiment Extraction and Contrast Dictionary
2. Design and Development of Machine Vision for Automatic Latex Farming System
3. Scalable Multi-tier Architecture for Reducing Power Consumption in a Private Cloud Data Center

2022

1. The Design and Development of a Causal Bayesian Networks Model for the Explanation of Agricultural Supply Chains

2023

1. Parallel Matrix-Matrix Multiplication Using AVX Intrinsic and OpenMP for Multi-core Architecture
2. Learning-based Model of Human for Pedestrian Detection

2025

1. Difficulty Ranking Mechanisms for Automatic Question Generation of Multimedia Contents
2. Advancements in Digital Pathology for Multi-tissue Histological Images
3. Advancements in Digital Pathology for Multi-tissue Histological Images
4. Improving ADAS Perception System using LiDAR-based Point Cloud Features for Autonomous Vehicles

Student Admissions

Admission Requirements

Applicants must pass both a written examination and an interview, as determined by the Program Committee.

Plan 1.1

• Applicants must hold a Master’s degree or equivalent in Computer Engineering, Artificial Intelligence Engineering, or a related field; and
• Must meet the English proficiency requirements as specified by the Graduate School for doctoral applicants; and/or
• Must satisfy additional qualifications as follows:
• Have research experience in a related field with academic publications demonstrating research capability; or
• Possess other qualifications as determined by the Program Committee.

Plan 1.2

• Applicants must hold a Bachelor’s degree or equivalent with excellent academic performance in Computer Engineering, Artificial Intelligence Engineering, or a related field; and
• Must meet the English proficiency requirements as specified by the Graduate School for doctoral applicants; and/or
• Must satisfy additional qualifications as follows:
• Have a minimum GPA of 3.25; or
• Be ranked within the top 33% of the class, certified by the department, program, or registrar; or
• Possess other qualifications as determined by the Program Committee.

Graduation Criteria

Graduation Requirements (Plan 1.1 and Plan 1.2)

• Students must pass the Qualifying Examination to be eligible for conducting the dissertation. They must successfully defend the dissertation proposal and pass the final oral examination, achieving the expected learning outcomes in accordance with the graduate qualification standards specified by the program. The dissertation examination committee shall consist of qualified experts from both internal and external institutions. The examination must be conducted as an open session accessible to the public. Assessment criteria shall include the originality and contribution of new knowledge, as well as the student’s depth of understanding of the dissertation.
• The dissertation or part of the dissertation must be published or at least accepted for publication in high-quality international journals, as specified by the Higher Education Standards Committee, with a minimum of two publications; or
• The dissertation or part of the dissertation must be published or at least accepted for publication in a high-quality international journal, with at least one publication, and must include at least one innovation or creative work that can be applied in commercial, social, or economic contexts, or result in at least one patent;
• In the case of innovation or creative work, the dissertation must be evaluated by at least three external experts in the same or related field who possess recognized expertise and experience. The evaluation must be approved by the University Council;
• Students must pass a foreign language proficiency requirement, in accordance with the Graduate School’s regulations on language assessment for graduate students;
• Students must satisfy all other requirements as specified by the University regulations.

Dual Degree Program (Optional)

• In the case where a student enrolls in the Dual Degree Program (a collaborative program with Kanazawa University, Japan), the doctoral degree may be awarded by both institutions. This must comply with the Graduate School regulations and the formal agreements between the Graduate School of Natural Science and Technology, Kanazawa University, Japan, and the Faculty of Engineering, Prince of Songkla University, Thailand.

Fee and Scholarship

• 30,000 THB (Thai Student)
• 60,000 THB (International Student)

Financial supports are available for both Thai and International students. Please contact the program chair for more details.

Program Accreditation

AUN-QA (ASEAN University Network Quality Assurance)

Contact Person

Dr.Kritwara Rattanaopas	Email: kritwara.r@psu.ac.th
Bongkot Prucksapong	Tel. 0-7428-7358 E-mail: bongkot@coe.psu.ac.th

Registration

You can online register here

More Information

You can check up for more detail here