On 27th November 2022, the Closing Ceremony of the 24th Euréka Award (Students Study Science Award) took place in the Hall of the University of Banking in Ho Chi Minh City.
This year’s awards attracted 119 universities, colleges, and institutes nationwide, with 1,231 topics and 3,728 contestants participating. As a result, 134 outstanding topics were recognised, including eight first prizes, 15 second prizes, 14 third prizes, and 97 consolation prizes.
The VNUHCM-University of Sciences congratulated the students who received this year’s prizes, specifically as follows:
First Place in the Field of Information Technology
Topic: Smart Interactive Retrieval of Visual Data via Semantic Understanding
Contestants: Hoàng Xuân Nhật, Nguyễn E Rô
Instructors: Assoc. Prof. Trần Minh Triết
Second Place in the Field of Engineering – Technology
Topic: Machine Learning in Parkinson’s Disease Classification Based on EEG Signals
Contestant: Nguyễn Thị Như Quỳnh
Instructors: Assoc. Prof. Huỳnh Văn Tuấn, M.Sc. Võ Hoàng Thủy Tiên
Second Place in the Field of Information Technology
Topic: Context-based Object Segmentation and Applications
Contestants: Lê Minh Quân, Đoàn Phú Đức
Instructors: Assoc. Prof. Trần Minh Triết, Assoc. Prof. Nguyễn Văn Tâm
Third Place in the Field of Chemical Technology
Project: Development of a Raman Signal Booster (SERS) Based on Pyramidal Silicon Materials Combined with Gold Nanoparticles to Detect Dye Residues in Food
Contestant: Trương Nguyễn Nam Phương
Instructor: Assoc. Prof. Trần Thị Thanh Vân
Third Place in the Field of Information Technology
Topic: 3D Segmentation for Medical Analysis with Transformer
Contestants: Nguyễn Ngọc Anh Khoa, Nguyễn Trường Hải
Instructor: Assoc. Prof. Trần Minh Triết
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Consolation Prizes in the Field of Information Technology
Topic: Detecting Incorrect Information from the Context Using the Combined Model Method
Contestants: Trần Thanh Phúc, Trần Quang Tiến
Instructors: M.Sc. Trần Anh Duy, Assoc. Prof. Đặng Nguyễn Đức Tiến
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Consolation Prizes in the Field of Information Technology
Topic: Semi-supervised Organ Segmentation in 3D Volume with Mask-Propagation Refinement
Contestants: Phạm Minh Khôi, Nguyễn Hồ Thăng Long
Instructor: Assoc. Prof. Trần Minh Triết
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