April 4, 2026 marked a significant milestone as the Faculty of Information Technology, Industrial University of Ho Chi Minh City (HUIT), officially honored the most outstanding students in the Student Scientific Research Competition for the academic year 2025–2026. This achievement represents the culmination of a long journey of dedication, creativity, and perseverance in scientific research by both students and their supervisors.

Hall of Fame: Outstanding Research Projects

This year’s competition witnessed an impressive surge of innovative ideas, focusing on solving pressing societal challenges through modern technologies. Below are the award-winning projects along with their student teams and dedicated supervisors:

First Prize

• Research and development of an image captioning application using Knowledge Graphs to support visually impaired individuals
  Students: Ha Huynh Anh Ngan, Bui Lam Hoang Phu, Lam Minh Sam
  Supervisor: Dr. Nguyen Thi Dinh
• Development of the VIRES-HOTELABSA dataset for aspect-based sentiment analysis
  Students: Nguyen Huu Thang, Doan Tan Minh Tan
  Supervisors: Dr. Nguyen Hong Vu, M.Sc. Nguyen Thi Hong Quyen

Second Prize

• Development of an intelligent job-search Web application based on Machine Learning and Natural Language Processing
  Students: Hoang Ngoc Khang, Tang Huu Minh, Le Minh Tien, Nguyen Thanh Tung
  Supervisor: Dr. Nguyen Thi Bich Ngan
• A real-time Vietnamese conversational AI system in a local environment
  Students: Ngo Tan Dat, Hoang Xuan Phi Long, Do Dang Hieu Trung, Tran Tan Phat
  Supervisors: Dr. Nguyen Hong Vu, M.Sc. Vu Phu Loc

Third Prize

• Optimal gene feature selection model (hybrid RBMO–SBOA algorithm) for early leukemia diagnosis
  Students: Phung Thi Ly, Bach Ngoc Vy, Le Hoang Minh Nhat
  Supervisors: M.Sc. Nguyen Hai Yen, M.Sc. Nguyen The Huu
• Academic advisory support application using Large Language Models (LLMs)
  Students: Dong Thu Nhien, Nguyen Tan Sang, Nguyen Bao Khoi
  Supervisor: Dr. Phung The Bao

Encouragement Prize

• AI-based intelligent dental consultation system
  Students: To Anh Phap, Nguyen Thi My Duyen, Doan My Hang, Vo Quoc Thang, Truong Bao Anh
  Supervisor: Dr. Phung The Bao
• Wind turbine layout optimization using hybrid FTTA–KOA algorithm
  Students: Phung Thi Nhu Y, Nguyen Thi My Duyen, Tran Dinh Hai Nguyen
  Supervisors: M.Sc. Nguyen Thi Thuy Trang, M.Sc. Dinh Nguyen Trong Nghia

Impact and Significance: Technology for the Community

The projects this year go beyond theoretical contributions, demonstrating strong practical applicability and a deep sense of social responsibility:

• Human-centered innovation: The integration of Knowledge Graphs for image captioning enables visually impaired individuals to better interact with their surroundings.
• Smart healthcare: Research on leukemia diagnosis using gene data and AI-powered dental consultation systems contributes to improving diagnostic accuracy and reducing the burden on healthcare systems.
• Green energy: Wind turbine optimization projects directly support sustainable development and clean energy initiatives.
• Digital transformation: Projects such as land record digitization systems (supervised by Dr. Huynh Thai Hoc) and transaction data mining algorithms contribute to improving governance and e-commerce efficiency.

These achievements are strongly supported by the dedicated guidance of faculty members, who have helped students access advanced algorithms such as Kepler Optimization, Coati Optimization, and models like HTBAM for behavioral analysis.

Towards the University-Level Final Round: Affirming Excellence

Following the Faculty-level competition, the top 20 outstanding projects have been officially selected to represent the Faculty of Information Technology at the University-level competition. This next stage provides a broader platform where students will compete with peers across the university to further demonstrate their capabilities.

• Date: Saturday, May 16, 2026
• Venue: Industrial University of Ho Chi Minh City

Conclusion

Let us extend our warmest congratulations to these talented young researchers. We wish them continued success and confidence as they advance to the final round, bringing pride and further achievements to the Faculty of Information Technology.