RESEARCH FIELDS AND RESEARCH GROUPS OF THE FACULTY OF INFORMATION TECHNOLOGY
The Faculty of Information Technology (FIT), Ho Chi Minh City University of Industry and Trade, continuously promotes scientific research activities to keep pace with technological advancements and address real-world challenges. The following are the key research areas that the Faculty is actively developing to enhance educational quality and foster technological innovation for society.
1. Artificial Intelligence (AI) and Machine Learning
Artificial Intelligence and Machine Learning are among the Faculty’s primary research areas, focusing on the development of intelligent models capable of recognizing, analyzing, and predicting information. Research topics include:
- Image recognition and computer vision.
- Natural language processing and AI chatbots.
- Classification, prediction, and decision-support systems.
- Applications of AI in finance, healthcare, education, and industry.
2. Data Science and Data Mining
With the rapid growth of Big Data, data analysis, mining, and optimization have become increasingly important research domains. Key research directions include:
- Business data analytics and decision-making optimization.
- Data mining in social networks and e-commerce platforms.
- Data warehouse development and decision support systems.
- Deep learning applications for complex data analysis.
3. Blockchain Technology and Web3
Blockchain technology extends far beyond financial applications and offers significant potential in education, information management, and e-commerce. Research topics include:
- Blockchain applications for data security and information authentication.
- Development of decentralized Web3 platforms.
- Integration of AI and Blockchain for digital transformation.
- Smart contract applications in online transaction systems.
4. Information Security and Cybersecurity
Protecting data and information systems against cyber threats is a critical concern in modern computing. Research activities focus on:
- Development of network security and information protection solutions.
- AI-based cyberattack detection and prevention.
- Biometric authentication systems.
- Privacy preservation and data anonymization techniques.
5. Optimization Algorithms and Intelligent Systems
Optimization plays a vital role in improving efficiency across various domains, including scheduling, resource management, and system operations. Major research topics include:
- Development of intelligent optimization algorithms.
- Optimization applications in scheduling, supply chains, and manufacturing operations.
- Optimization techniques for finance and investment.
- Integration of AI and optimization methods to enhance system performance.
6. Software Development and Emerging Technologies
In addition to theoretical research, the Faculty emphasizes the development of practical software solutions that support education, business, and organizational management. Research topics include:
- Educational support systems and learning management platforms.
- E-commerce systems and online service platforms.
- Mobile technologies and multimedia applications.
- Intelligent social networking models and platforms.
7. Research Groups of the Faculty of Information Technology
To foster scientific research, innovation, and collaboration between faculty members and students, the Faculty of Information Technology has established specialized research groups. These groups provide opportunities for students to participate in research projects, develop technological solutions, publish scientific works, and address real-world challenges from industry and society.
Artificial Intelligence and Data Science Research Group
This group focuses on artificial intelligence, machine learning, deep learning, and data analytics to develop intelligent systems for various application domains.
Key research topics:
- Computer vision and image recognition.
- Natural language processing and large language models (LLMs).
- Recommender systems and user behavior analytics.
- Data mining, Big Data, and predictive analytics.
- AI applications in education, healthcare, finance, and e-commerce.
Cybersecurity and Blockchain Research Group
This group conducts research on data protection, information security, and blockchain technologies to support secure digital transformation.
Key research topics:
- Cyberattack detection and prevention.
- Privacy preservation and data anonymization.
- User authentication and biometric security.
- Smart contracts and blockchain-based applications.
- Blockchain solutions for education, finance, and data governance.
Intelligent Systems and Optimization Research Group
This group focuses on modern optimization algorithms, computational intelligence, and intelligent decision-making systems to solve complex real-world problems.
Key research topics:
- Optimization algorithms and metaheuristics.
- Multi-objective and large-scale optimization.
- Scheduling, resource allocation, and logistics optimization.
- Intelligent decision support systems.
- Integration of AI and advanced optimization techniques.
Software Engineering and Digital Transformation Research Group
This group conducts research and development in modern software engineering, emerging technologies, and digital transformation solutions for organizations and enterprises.
Key research topics:
- Web, mobile, and cloud-based application development.
- Software architecture and DevOps.
- Internet of Things (IoT) and intelligent systems.
- Digital transformation in business and education.
- AI agents, chatbots, and digital service platforms.
Conclusion
With diverse research directions aligned with emerging technology trends, the Faculty of Information Technology actively encourages students to participate in research groups, scientific projects, and innovation activities. These opportunities enable students to strengthen their professional skills, develop research capabilities, and enhance their career prospects. They also provide valuable exposure to cutting-edge technologies, academic competitions, scientific publications, and industry collaborations aimed at solving practical challenges.
The Faculty of Information Technology warmly welcomes students who are passionate about technology, innovation, and creating meaningful contributions to society through scientific research and technological advancement.
See more :
- FACULTY AND STUDENT RESEARCH PROJECTS APPROVED AT UNIVERSITY LEVEL FOR THE ACADEMIC YEAR 2026–2027 Mới
- FACULTY OF INFORMATION TECHNOLOGY SCIENTIFIC & TECHNOLOGICAL WORKSHOP 2026: AI, MACHINE LEARNING, AND BIG DATA FOR REAL-WORLD PROBLEM SOLVING
- Research Publications
- ANNOUNCEMENT Seminar 2025–2026 - Topic 12 - AI & Automation – From Trends to Practical Applications
- SUMMARY OF SCIENTIFIC RESEARCH PROJECTS (ACADEMIC YEAR 2025–2026)