THE FACULTY OF INFORMATION TECHNOLOGY ORGANIZES GRADUATION THESIS EVALUATION FOR THE 2023 COHORT

On the morning of August 15, 2026, the Faculty of Information Technology organized two Graduation Thesis Evaluation Councils for students of the 2023 cohort.

In this evaluation session, eight graduation thesis projects focused on research and applications in Artificial Intelligence (AI), Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Vision-Language Models (VLMs), and Knowledge Graphs, including:

• LLM Inference Orchestration System at the Edge with Adaptive Resource-Aware Traffic Routing (CATS).
• Research and Development of a Multimodal AI-Based Video Summarization System Using Keyframes, Audio, and Scripts.
• Development of a Topic-Based Group Conversation Summarization System Using a RAG Architecture.
• Development of a Business Process Automation and Data Analytics System Based on RAG and LLM Architectures.
• Development of an AI Agent System for Supporting Team Task Management Based on RAG Architecture and Large Language Models.
• Development of a Medical Diagnosis Support System Using a Vision-Language Model.
• Research and Development of an Explainable Traffic Violation Reasoning System Based on Knowledge Graph and Large Language Model Architectures.
• Research on Optimizing the Fusion Mechanism in a Visual Question Answering System Based on Large Language Models.

These projects demonstrate the diversity of AI research and applications, while also highlighting students’ strong interest in emerging technologies such as LLMs, RAG, AI Agents, and multimodal models.

This evaluation provided an opportunity for students to present their research findings, demonstrate their professional competencies, and receive valuable feedback from the Evaluation Councils, thereby helping them further improve and finalize their graduation thesis projects before graduation.

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