L o a d i n g

Short Bio

Trong Bang Nguyen received his B.E. degree from Hanoi University of Science and Technology (HUST) in 2023. Currently, he is an AI Researcher at Institute of AI Innovation and Societal Impact (AI4LIFE), Hanoi University of Science and Technology (HUST). His research interests include Object Detection, Federated Learning, and Recommender System.

Education

  • B.E. in Computer Science (Talent Program), Hanoi University of Science and Technology – 2023

Honors and Awards

  • 2023 Top 4 Best Papers Finalist at CCGRID Conference.
  • 2023 Best Presentation Award, SOICT-HUST Graduation Thesis Defense.
  • 2023 Second Prize, Science and Technology Awards for Students in Higher Education Institutions, Ministry of Science and Technology.
  • 2023 First Place at the Student Scientific Research Contest, Hanoi University of Science and Technology.
  • 2019-2022 Excellent Student Scholarships, Hanoi University of Science and Technology (Rewarded for top 1% of students with the highest CPA).
  • 2018, 2019 Second Prize in Vietnam Mathematical Olympiad, Ministry of Education and Training.

Selected Publications

  • Nguyen Trong Bang, Huynh Thanh Trung, Nguyen Thanh Tam, Nguyen Phi Le, Matthias Weidlich, Nguyen Quoc Viet Hung, Karl Aberer, “Fast-FedUL: A Training-Free Federated Unlearning with Provable Skew Resilience”, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2024).

  • Trong Bang Nguyen, Thanh Trung Huynh, Thanh Toan Nguyen, Phi Le Nguyen, Hongzhi Yin, Quoc Viet Hung Nguyen, Thanh Tam Nguyen, “Certified Unlearning for Federated Recommendation”, ACM Transactions on Information Systems (TOIS 2024).

  • Nang Hung Nguyen, Duc Long Nguyen, Trong Bang Nguyen, Thanh-Hung Nguyen, Huy Hieu Pham, Truong Thao Nguyen, Phi Le Nguyen, ”CADIS: Handling Cluster-skewed Non-IID Data in Federated Learning with Clustered Aggregation and Knowledge DIStilled Regularization”, the 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID 2023).
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Teaching

  • ST6802 – Object Oriented Programming in Java

  • SO6803 – Objects in Microsoft SQL Server

  • SO6803 – C Programming Language Lab