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Do Oanh Cuong Thesis Defense (December 2, 2025)

DOCTORAL THESIS DEFENSE

Thesis title: Deep Learning Methods for Image Analysis and Understanding: Application to Biomedicine

By

Do Oanh Cuong Ph.D. Student

for the Ph.D. Degree in

Information and Communication Technology

Time: 14:00 – 17:00, December 2, 2025 (Hanoi time)

Venue: Room 402, 4th floor, A21 Building, 18 Hoang Quoc Viet, Nghia Do, Ha Noi.

List of Jury members:

No Member Institution Position in the jury
           1 Prof. Jean-Marc Lavest USTH Chairman
           2 Assoc.Prof. Nguyen Huu Quynh CMC University Reviewer 1
           3 Prof. Jean-Christophe Burie University of La Rochelle Reviewer 2
           4 Assoc. Prof. Nguyen Phuong Thai VNU University of Engineering and Technology Reviewer 3
           5 Assoc.Prof. Nguyen Long Giang Institute of Information Technology, VAST Member
           6 Dr. Nghiem Thi Phuong USTH Member
           7 Dr. Tran Hoang Tung USTH Member, Secretary

 

1. Supervisor: Assoc.Prof. Tran Giang Son, USTH

2. Co-Supervisor: Prof. Luong Chi Mai, Institute of Information Technology, VAST

THE PUBLIC IS INVITED.

View Abstract here:  Abstract Do Oanh Cuong_EN

Chia sẻ
New scientific publications
  1. Thi Tuyet Hong VU, et al., A Practical Approach to Launch the Low-Cost Monitoring Platforms for Nearly Net-Zero Energy Buildings in Vietnam, Energies 2022, 15(13), 4924, (SCIE)
  2. Dang B. Tran, Tung H. To, Phong D. Tran, Mo-and W-molecular catalysts for the H2 evolution, CO2 reduction and N2  fixation,  Coordination Chemistry Reviews, Volume 457, 2022, 214400, (SCIE)
  3. Nguyen, T.H, et al., Insights into the genetics of the Zhonghua 11 resistance to Meloidogyne graminicola and its molecular determinism in rice, Front. Plant Sci., (2022) 13:854961, (SCIE)
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