The Faculty of Information Technology has officially announced the list of 61 outstanding research projects advancing to the semi-final round of the Faculty-level Student Scientific Research Competition for the academic year 2025–2026. This is the largest academic event of the year, where innovative technological ideas are transformed into practical solutions addressing pressing societal challenges.

Scale and Organization Plan

The semi-final round will be held simultaneously across four specialized panels from 18:00 to 21:30 on Saturday, March 28, 2026. The event will take place in rooms A307, A308, A309, and A401.

Participating teams will undergo a rigorous evaluation process, including:

• Slide presentations
• Product demonstrations (via video clips or sample datasets)
• Live Q&A sessions with the judging panel

This process ensures the scientific validity, feasibility, and practical applicability of each project.

Practical Significance of the Research Projects

The 61 selected projects demonstrate not only technical diversity but also strong societal impact. They can be categorized into several key domains:

Healthcare and Community Support

These projects highlight the meaningful application of technology in saving lives and supporting vulnerable communities.

• Projects such as NC11 and KN52 apply optimization algorithms for early leukemia detection from genomic data.
• NC02 presents a highly humanitarian solution by developing an image captioning system powered by Knowledge Graphs to assist visually impaired individuals in interacting with the world.
• Other projects, including diabetes prediction systems (KN60) and skin lesion diagnosis (NC25), contribute to reducing the burden on healthcare systems.

Environment and Smart Agriculture

Projects in this domain focus on protecting natural resources and improving agricultural productivity through intelligent technologies.

• Forest fire risk assessment in Lam Dong (NC07)
• Crop disease diagnosis systems (NC09, NC23)
• Urban air quality prediction (KN56)

These solutions contribute directly to environmental sustainability and improved living conditions.

Cybersecurity and User Protection

In the digital era, ensuring a safe and trustworthy online environment is critical.

• Fake news detection systems (NC40)
• Research on mitigating clickbait and sycophancy using Large Language Models (LLMs) (NC32, NC35, NC48)
• KN49 (DataShield AI) focuses on preventing customer data leakage for enterprises

These projects play a vital role in enhancing digital trust and information security.

Economic Optimization and Smart Cities

These studies aim to optimize resources and improve service quality in modern urban systems.

• Doctor shift scheduling optimization (NC01)
• Electric vehicle charging station placement (NC06)
• Emotion-aware tourism recommendation systems (NC10)

Such solutions contribute to more efficient, intelligent, and user-centered urban environments.

Research Orientation of Supervising Faculty

The success of these projects is closely aligned with the research expertise of the supervising faculty members. Based on the project topics, several key research orientations can be identified:

• Dr. Nguyen Thi Dinh: Specializes in Knowledge Graphs and neuro-symbolic systems, focusing on assistive technologies for the visually impaired and agricultural disease diagnosis.
• Dr. Tran Khai Thien: Focuses on advanced technologies involving Large Language Models (LLMs), fake news detection, clickbait mitigation, and complex population forecasting models.
• M.Sc. Dinh Nguyen Trong Nghia: Specializes in hybrid optimization algorithms (e.g., MPA-OOA, TGA-SMA), with applications in renewable energy (wind turbines), urban management (EV charging stations), and forest protection.
• M.Sc. Nguyen Thi Thuy Trang: Focuses on AI applications in healthcare (e.g., OncoSense AI) and digital transformation in education management systems.
• Dr. Duong Bao Ninh & Dr. Nguyen Huu Khanh: Conduct research on indoor positioning systems based on WiFi fingerprinting.
• M.Sc. Nguyen The Huu & M.Sc. Nguyen Hai Yen: Specialize in optimization algorithms applied to e-commerce and biomedical diagnosis.

Conclusion

The competition promises to deliver impressive and highly practical technological showcases on the evening of March 28. It stands as a testament to the creativity, technical capability, and real-world impact of students from the Faculty of Information Technology.