Human resources and facilities

The Faculty of Information Technology boasts a highly qualified faculty, trained in prestigious countries and educational institutions such as France, Japan, and South Korea, as well as leading universities in Vietnam. Currently, the faculty has 70 full-time staff members , including 21 PhDs , 2 associate professors , 21 senior lecturers , and a team of lecturers and support staff with strong expertise. In addition, the faculty has 2 administrative staff members responsible for supporting training activities and management. Many lecturers have practical experience in fields such as software development, artificial intelligence, information security, digital infrastructure, and enterprise digital transformation.

The Faculty always prioritizes building a professional academic environment, encouraging faculty members to conduct research, improve their skills, participate in international training courses, and engage in academic exchanges in developed countries. This is a crucial foundation that helps faculty members continuously enhance their teaching capabilities, stay updated on technological trends, and implement innovative training methods aligned with international integration.

In terms of facilities, the faculty currently has 6 computer labs equipped with modern computer systems for student learning and practice, including labs with 40 to 50 computers to meet the needs of specialized training. In addition, the faculty has 1 technology laboratory (lab) with internet access to support research activities for staff and students. The faculty has 7 specialized departments , each with its own office fully equipped with teaching and research support equipment and internet access. The faculty office, with an area of approximately 80m², ensures a convenient workspace for management, administration, and student support.

Students in the department have access to specialized software systems, advanced simulation platforms, and a wealth of resources from the university's electronic library and digital learning materials. The training program is implemented in a modern facility with approximately 3.7m² of floor space per student , meeting quality assurance standards.

In addition to a digitized learning environment, students receive comprehensive support through academic counseling, career guidance, internship and job placement services, and participation in practical research projects. The university and faculty have established a development strategy for the period 2021–2030 , prioritizing the development of high-quality human resources and creating opportunities for faculty and staff to continuously improve their skills through advanced training programs both domestically and internationally.

Overall, the Faculty's human resources and infrastructure provide a solid foundation for ensuring the quality of training, scientific research, and technology transfer, while also enabling students to access modern knowledge, develop professional skills, and integrate into the international labor market in the digital age.

SOME GUIDELINES AND PLANS FOR BUILDING A LAB FOR RESEARCH AND LEARNING

Laboratory Operations Plan

This plan focuses on maximizing the use of open-source resources (Slurm, Proxmox) and clearly defining management responsibilities.

I. Phase 1: Basic Setup (Setup Labs)

1. 1. Lab Architecture

1. 2. Setting up network devices

1. 3. Setting up a server management environment.

II. Phase 2: Building Lab Environments

Use Proxmox/VMware on a GPU server and Slurm to create the following environments:

III. Operation & Reset Procedure

1. Conduct the lesson with GPU Cloud and with GPU Server.

2. Job Completion Process

Applicable to Slurm environments (AI/Big Data):

1. line-height:107%"> Completed: Slurm automatically terminates the task (job) when it finishes running.
2. Release: Slurm automatically releases resources (GPU, CPU, RAM) to allocate them to the next task in the queue.
3. Storage: Student results are stored on a 100TB NAS or integrated Cloud Storage .

3. Environment Reset Procedure

• Virtualization Environment (Virtual Lab, Big Data, AI):
  • Frequency: At the end of each semester or after each major course.
  • Instructions: Use the Snapshot feature in Proxmox/VMware.
    • Reset: Simply restores (Reverts) the virtual machine to the original snapshot ( Golden Image ) that was prepared beforehand.
• Physical Workstation (IT, Graphics, Autodesk):
  • Frequency: Weekly or after each information security practice session.
  • Procedure: Use disk imaging software such as Deep Freeze or desktop-level virtualization tools (e.g., VDI if available) to ensure all changes are erased after a restart.
• Cyber Range Environment (Network 3):
  • Frequency: After each attack/defense practice session.
  • Procedure: Completely shut down the Security Workstations, check the integrity of the network firewall 3, then restart the Sandbox virtual machines to a clean state.

4. Account Management

• AI/Slurm System: Each student/research group is assigned a separate account on the Slurm system.
• Reservation System: Students use their school email account/student ID to log in and reserve physical resources.

5. Backup Requirements [Local and Cloud Backup]:

• Two local backups (Server -> NAS) + one offline backup and one offsite copy are needed, adhering to the 3-2-1 principle. This stores copies of data from the NAS and important virtual machine images.
• GPU_S -- Backup Configuration/VM Images --> NAS: Slurm configuration and primary virtual machine images (Golden Images) are stored on the NAS.
• NAS -- Backup Data --> Rtr: NAS pushes data out via Router/Firewall.

1. 1. 1. AI Labs at some Universities in Vietnam

1. 2. Famous AI Labs around the world

https://www.nus.edu.sg/ (search for AI)