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Pham Ngoc Ha Thesis Defense (November 11, 2026)

DOCTORAL THESIS DEFENSE

Thesis title: Development of deep learning methods for analysis and understanding of X-ray images.

By

Pham Ngoc Ha Ph.D. Student

for the Ph.D. Degree in

Information and Communication Technology

Time: 2:00 – 5:00 PM, November 11, 2026 (Hanoi time)

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

List of Jury members:

No

Member Institution

Position in the jury

           1 Assoc.Prof. Luong Chi Mai Institute of Information Technology, Vietnam Academy of Science and Technology Chairman
           2 Assoc.Prof. Nguyen Long Giang Institute of Information Technology, Vietnam Academy of Science and Technology Reviewer 1
           3 Assoc.Prof. Gael Lejeune Sorbonne University, France Reviewer 2
           4 Assoc.Prof. Nguyen Thi Ngoc Anh Hanoi University of Science and Technology Reviewer 3
           5 Dr. Phan Viet Anh Military Technical Academy Member
           6 Dr. Nguyen Hoang Ha USTH, Vietnam Academy of Science and Technology Member
           7 Dr. Nguyen Minh Huong USTH, Vietnam Academy of Science and Technology Member, Secretary

 

Supervisor: Prof. Tran Giang Son, USTH, Vietnam Academy of Science and Technology of Hanoi

Co-Supervisor: Antoine Doucet, La Rochelle University, France, Vietnam Academy of Science and Technology

THE PUBLIC IS INVITED

View Abstract here:  https://drive.google.com/file/d/14qxGKcObuiLS1f2qmlKRuDnpNN6QIPnm/view?usp=sharing

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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