AY 2026 Autumn Doctoral Dissertation Presentations
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On Friday, August 7, 2026, AY 2026 Autumn Doctoral Dissertation Presentations were held.
10 students who studied their doctoral research at the Graduate School of Computer Science and Engineering presented their research achievements and their future outlook, and also contributions to the society regarding their dissertation they had worked on for their degree. Following the presentations, there was a lively exchange of questions and answers.
At the end, their research advisors honored the students' research achievements, and gave them words of encouragement expecting their success in the future as researchers.
The names of the students and the titles of their dissertations are listed below.
| Name | Supervisor | Title |
| QU Lingxiao | Prof. PEI, Y. | Study on Data Analysis Methods Using Orthogonal Transformation and Its Extension in Reproducing Kernel Hilbert Space |
| MENG Xiang | Prof. PEI, Y. | Efficient Algorithm Design for Multi-Modal Multi-Objective Optimization Utilizing Chaotic Evolution Mechanism |
| FENG Zongyao | Prof. MARKOV, K. | Advanced Deep Learning for Spatiotemporal Data Modeling and Analysis |
| LUO Shihao | Prof. TRUONG, C.T. | Quality Assessment for Neural Rendering-Based 3D Reconstruction |
| ONUOHA Chibuike Martins | Prof. TRUONG, C.T. | Human-Aligned Quality Evaluation for Visual Media in the Era of Large Language Models |
| HASSAN Najmul | Prof. SHIN, J. | Computer-Aided MRI-Based Alzheimer's Disease Detection Using Deep Neural Networks With Channel Attention and Hybrid Feature Integration |
| MUEPU MUKENDI Daniel | Prof. WATANOBE, Y. | An Integrated AI Framework for Programming Education: A Support Loop Unifying Learning Analytics, Visual Analytics, and LLM-Based Guidance |
| NNADI Leonard Chukwualuka | Prof. WATANOBE, Y. | Hierarchical and Multi-Level Explainable AI Framework for Predicting and Interpreting Student Outcomes in Educational Environments |
| XU Jiantao | Prof. SU, C. | A Unified Framework for Trustworthy and Incentive-Compatible Federated Learning |
| ZHANG Chen | Prof. SU, C. | Layered Intrusion Detection Framework for IoT Environments |
