DƯƠNG ANH KIỆT
Research interest
My research focuses on cryptography and security in machine learning.
Education
-
Bachelor’s degree in Information Technology (Honor Program), University of Science, Vietnam National University – Ho Chi Minh City.
- Honors program Faculty of Information and Technology. GPA: 8.64/10.0
-
Master's student, Cryptology and Information Security (CRYPTIS), University of Limoges (Vingroup Scholarship Programs)
Achievements
- European Cyber Week (ECW) CTF 2023 Finalist.
- Invidual: 11th/419 (general) and 7th/293 (student)
- Google Code Jam Farewell Rounds: 250th(C)
- European Cyber Week (ECW) CTF 2022 Finalist. Rank: 13th
- Google Landmark Challenge:
- Google Landmark Retrieval: 2021 Silver medal (30th/263)
- Google Landmark Recognition: 2021 Silver medal (23th/383); 2020 Bronze (100/736)
- Consolation Prize in ASEAN Student Contest on Information Security 2021
- Silver medal in Kaggle Rock, Paper, Scissors (56th/1662)
- Fourth Hash Code Archive - Drone Delivery (4th/130)
- Consolation Prize in Ho Chi Minh city AI Hackathon 2020
- Consolation Prize in HCMUS ACM-ICPC
- In the team to participate in the regional ICPC/ACM
- Top 20 winners Bengaluru Tech Summit Global Hackathon 2018
- Fourth in Vietnam National Secondary Student Science and Engineering Fair
- Consolation Prize in National Mathematical Olympiad for high school students
Projects & Experience
Projects & Experience
- Collaborators at SELab of University of Science - VNUHCM
- We won first in task NewsImage of MediaEval 2020. The task is about text-image matching.
- Software Engineer Intern at OPSWAT
- Build an intelligent system to detect
text-based filetype.
- Build intelligent system
to classify pdf/docx
files as benign/malicious.
-
Junior Machine Learning Engineer at MoMo
-
MoMo is one of the
leading e-wallets in Vietnam.
I worked on verification,
credit score.
-
Image
Deep Hash
-
Using
similarity model to hash image. Calculate the similarity of 2 images after deep-hashing.
- Project
Master 1 CRYPTIS INFO
- Top 2: DFUC 2021 Challenge. Apply Similarity Learning
on medical data.
- Feaderated Learning: Using Siamese Network on Feaderated systems.
- Collaborators at SELab of University of Science - VNUHCM
- We won first in task NewsImage of MediaEval 2020. The task is about text-image matching.
- Software Engineer Intern at OPSWAT
- Build an intelligent system to detect
text-based filetype.
- Build intelligent system
to classify pdf/docx
files as benign/malicious.
-
Junior Machine Learning Engineer at MoMo
-
MoMo is one of the
leading e-wallets in Vietnam.
I worked on verification,
credit score.
-
Image
Deep Hash
-
Using
similarity model to hash image. Calculate the similarity of 2 images after deep-hashing.
- Project
Master 1 CRYPTIS INFO
- Top 2: DFUC 2021 Challenge. Apply Similarity Learning
on medical data.
- Feaderated Learning: Using Siamese Network on Feaderated systems.
Publications
-
Federated Learning: Centralized and P2P for a Siamese Deep Learning Model for Diabetes Foot Ulcer Classification
-
DFU-Helper: An Innovative Framework for Longitudinal Diabetic Foot Ulcer Diseases Evaluation Using Deep Learning
-
DFU-SIAM a Novel Diabetic Foot Ulcer Classification with Deep Learning
-
Large Margin Cotangent Loss for Deep Similarity Learning
- HCMUS at MediaEval 2020: Image-Text Fusion for Automatic News-Images Re-Matching
