Research directions

The research orientation of IT Faculty focuses on the following areas: software testing and software testability, speech processing, image processing and computer vision, embedded systems, processing of natural languages, advanced database & information system, geometric modeling, grid computing and parallel processing. The goal of the faculty is to maintain and develop research at the international level and to cooperate regularly with research institutions at home and abroad.

Main research directions

Artificial Intelligence and Machine Learning

Research on machine learning and deep learning models applied to problems such as classification, recognition, prediction, and decision-making. Related areas include deep learning, reinforcement learning, federated learning, optimization and model compression for edge devices (edge AI), and explainable artificial intelligence (Explainable AI – XAI).

Natural languages Processing

Research on methods for processing and understanding human language, with a focus on Vietnamese. Related areas include large language models (LLMs), text generation and automatic summarization, sentiment and opinion analysis, Vietnamese chatbots and virtual assistants, Retrieval-Augmented Generation (RAG), machine translation, and the development of language resources.

Image processing & computer vision

The goal is to build intelligent systems capable of perceiving and analyzing the real world through images and videos. Related areas include object detection and recognition, face and emotion recognition, behavior analysis and video surveillance, medical image processing, and computer-aided diagnosis.

Information Security and Cybersecurity

Research on solutions to protect information systems against increasingly complex threats. Related areas include intrusion detection and prevention systems (IDS/IPS), web and mobile application security, cryptography and data security, AI-based malware detection, and security in IoT and cloud systems.

Cloud Computing and Internet of Things (IoT)

Research on architectures and platforms for distributed computing to support large-scale intelligent applications. Related areas include microservices architecture and containerization, edge and fog computing, cloud resource optimization, IoT protocols and platforms, and applications in smart cities, digital agriculture, and smart homes.

Data Science and Data Mining

Research on methods for extracting value from large-scale data to support analysis and decision-making. Related areas include data warehousing and big data processing, data mining and unsupervised learning, predictive analytics and anomaly detection, fuzzy databases, and object-oriented databases.

Software Engineering and Software Testing

Research on methods and tools to ensure quality in modern software development. Related areas include automated software testing, mutation testing, regression testing, software testability, continuous integration and continuous deployment (CI/CD), and reactive software testing.