The Faculty-level Student Scientific Research Competition for the academic year 2025–2026 has successfully completed its highly competitive semi-final round. As the largest academic platform of the year for students of the Faculty of Information Technology, the competition continues to nurture innovative ideas and transform them into practical technological solutions with real-world impact.

1. Highlights from the Semi-Final Round

The semi-final round took place on March 28, 2026, with the participation of 61 competing teams. The judging panel worked rigorously and impartially to select the top 32 outstanding projects for the final round.

This year’s projects demonstrated a significant advancement in both academic quality and practical applicability. The highest score in the semi-final round was awarded to the project on sentiment analysis dataset research (Code: NC61), achieving 88.7 points. Most finalist teams obtained impressive scores (from 70.0 and above), reflecting strong preparation by students and dedicated mentorship from faculty members.

2. Upcoming Final Round Information

The final stage of the competition will be organized on a formal and professional scale:

• Time: 07:00 – 11:30, Saturday, April 4, 2026
• Venue: Hall C, Industrial University of Ho Chi Minh City
• Format: Teams will present their projects through poster exhibitions and product demo video presentations (4–5 minutes), followed by evaluation by the judging panel

3. Overview and Classification of Finalist Projects

The 32 finalist projects reflect students’ strong awareness of cutting-edge technology trends. They can be categorized into the following key domains:

Artificial Intelligence (AI) & Deep Learning

This is the largest group, focusing on solving problems in healthcare, monitoring, and daily life:

• Healthcare: Early leukemia diagnosis (NC11), intelligent dental consultation systems (NC44)
• Monitoring & Society: Student behavior analysis (NC27), people/vehicle counting in surveillance videos (NC42), population forecasting (NC47)
• Agriculture: Crop disease diagnosis (NC09) and lemon disease detection (NC23)

Natural Language Processing & Knowledge Graphs

These projects focus on intelligent interaction and community support:

• Assistive Technology: Image captioning for visually impaired users using Knowledge Graphs (NC02)
• Language Technologies: Vietnamese conversational AI (NC41), sentiment analysis systems (NC31, NC61), and virtual assistants for academic advising (NC45)

Data Mining & Recommender Systems

This group emphasizes optimizing user experience and data utilization:

• E-commerce: Personalized product recommendation systems (NC08, KN54)
• Transactional Data: High-utility itemset mining (NC04, NC22, NC28, NC39)

Optimization Algorithms & Enterprise Solutions

• Optimization of electric vehicle charging station placement (NC06) and wind turbine layout (NC15)
• Enterprise-oriented solutions such as customer data leakage prevention (KN49) and environmental compliance monitoring (KN55)

4. Dedicated Supervising Faculty

The success of the finalist teams is strongly supported by the expertise and dedication of experienced faculty members:

• M.Sc. Dinh Nguyen Trong Nghia: Supervised a wide range of projects spanning optimization and text steganography (NC06, NC07, NC15, NC16)
• Dr. Nguyen Thi Dinh: Contributed significantly to projects on Knowledge Graphs and agricultural disease diagnosis (NC02, NC09)
• M.Sc. Nguyen The Huu: Guided research on personalized recommendation systems and healthcare applications (NC08, NC11, KN54)
• M.Sc. Nguyen Thi Thanh Thuy: Focused on data mining and social network analysis (NC04, NC05)

Conclusion

The competition serves as a structured and professional academic platform to promote student research activities. The selected projects clearly demonstrate the program’s objective of encouraging students to apply theoretical knowledge to real-world challenges, such as supporting visually impaired individuals, medical diagnosis, energy optimization, and environmental protection.

Furthermore, the competition provides valuable opportunities for faculty members and graduate students to mentor and guide undergraduate students in conducting in-depth research projects.

The final round promises to deliver innovative, impactful, and inspiring technological presentations.