GROUPS OF AUTHORS ‘S ACHIEVEMENTS AT THE 24TH EURÉKA AWARD IN 2022

GROUPS OF AUTHORS ‘S ACHIEVEMENTS AT THE 24TH  EURÉKA AWARD IN 2022

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

 

Leave a Reply

Your email address will not be published.

slot gacor slot gacor