On November 27th, the Closing Ceremony of the 24th Euréka Award (Students Study Science Award) in 2022 occurred in the Hall of the University of Banking, Ho Chi Minh City.
This year’s award attracts 119 universities, colleges and institutes nationwide, with 1,231 topics of 3728 contestants. As a result, 134 best topics were awarded, including 08 first prizes, 15 second prizes, 14 third prizes and 97 consolation prizes.
The VNUHCM-University of Sciences congratulated the students who won this year’s prizes, specifically as follows:
First place in the Field of Information Technology
Subject: Smart Interactive Retrieval of Visual Data via Semantic Understanding
Group of contestants: Hoàng Xuân Nhật, Nguyễn E Rô
Instructors: Assoc. Prof. Dr Trần Minh Triết
Second place in the Field Of Engineer – Technology
Subject: Machine learning in Parkinson’s disease classification based on EEG signals
Contestant: Nguyễn Thị Như Quỳnh
Instructors: Assoc. Prof. Dr Huỳnh Văn Tuấn, MSc. Võ Hoàng Thủy Tiên
Second place in the Field of Information Technology
Subject: Context-based Object Segmentation and Applications
Group of contestants: Lê Minh Quân, Đoàn Phú Đức
Instructors: Assoc. Prof. Dr Trần Minh Triết, Assoc. Prof. Dr 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. Dr Trần Thị Thanh Vân
Third place in the Field of Information Technology
Subject: 3D Segmentation for Medical Analysis with Transformer
Group of contestants: Nguyễn Ngọc Anh Khoa, Nguyễn Trường Hải
Instructor: Assoc.Prof.Dr Trần Minh Triết
Consolation Prizes for the Field of Information Technology
Subject: Detecting incorrect information from the context using the combined model method
Group of contestants: Trần Thanh Phúc, Trần Quang Tiến
Instructors: MSc. Trần Anh Duy, Assoc. Prof. Dr Đặng Nguyễn Đức Tiến
Consolation Prizes for the Field of Information Technology
Subject: Semi-supervised Organ Segmentation in 3D Volume with Mask-Propagation Refinement
Group of contestants: Phạm Minh Khôi, Nguyễn Hồ Thăng Long
Instructor: Assoc. Prof. Dr Trần Minh Triết
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