Human resources and team development

         Developing human resources has always been a top priority for the Faculty of Information Technology, and is considered a key factor in improving the quality of training, scientific research, and technology transfer. Currently, the Faculty has 62 full-time lecturers, including 2 Associate Professors, 21 PhDs, and 38 Master's degree holders (including 7 doctoral candidates). The lecturers are well-trained at prestigious institutions both domestically and internationally, such as France, Japan, South Korea, Hanoi University of Science and Technology, University of Technology – Vietnam National University, Hanoi, Posts and Telecommunications Institute of Technology, Cryptography Technical Academy, and Hanoi University of Civil Engineering. The diversity of expertise, educational backgrounds, and research experience forms a crucial foundation for the Faculty to continuously innovate teaching methods, refine programs, and meet the demands of digital transformation and international integration in the field of information technology and related industries.

The Human Resource Development and Capacity Building Project for the Faculty of Information Technology for the period 2025–2030 aims to build the Faculty into a core training, research, and technology transfer unit of Hanoi University of Civil Engineering, pioneering in digital transformation and digital education. The strategic goal is to achieve regional and international quality accreditation standards, create a modern, innovative academic environment, and deeply integrate with the global science and technology community.

To ensure the quality of training and meet accreditation standards, the Faculty needs to add at least 20–25 highly qualified lecturers in the period 2025–2030, prioritizing PhDs in strategic fields such as artificial intelligence, information security, IoT, data science, and software technology.

The project aims to increase the percentage of faculty members with doctoral degrees to over 45% by 2030, while simultaneously implementing a comprehensive digital learning ecosystem and standardized learning materials. Key tasks include innovating teaching methods, adopting a common LMS platform, building a modular digital learning materials bank, organizing digital skills training programs for faculty, and integrating AI tools for teaching, assessment, and research.

Simultaneously, the Faculty will invest in an interdisciplinary laboratory equipped with AI servers, high-configuration workstations, IoT devices, VR/XR technology, and information security infrastructure to promote research, practice, and technology transfer. Six key research areas will be established and developed: artificial intelligence, information security, IoT and smart cities, applied mathematics in engineering, blockchain for the construction supply chain, and digital transformation in construction and transportation.

Furthermore, the Faculty focuses on developing a dynamic academic environment for students through specialized competitions in AI, IoT, information security, and data science, participating in prestigious national and international competitions. The network of collaborations with technology companies such as Viettel, VNPT, FPT, CMC, and Bkav, as well as major research institutes and universities both domestically and internationally, will be expanded to provide faculty and students with access to modern technology, learning from international models, and participating in practical projects.

The 2025–2030 plan reflects the Faculty's strategic direction in developing a high-quality faculty, modernizing academic infrastructure, strengthening research capacity, and comprehensively transforming digitally. This is a decisive step to make the Faculty of Information Technology a pioneering unit of Hanoi University of Civil Engineering in educational innovation, international integration, and contributing to the national digital human resource development strategy.

The faculty staff is structured as follows:

Faculty Board

Faculty Academic Affairs

The following expert groups:

1. Computer Science

2. Construction Informatics

3. Software Technology

4. Computer Systems and Networks Engineering

5. Computer Technology

6. Mathematics

7. Applied Mathematics

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