Ta Duy Hoang

Lecturer, Faculty of Computer Science Ph.D.

Computer Science, École Normale Supérieure de Lyon, France, 2022

Engineer (Information Technology, Hanoi University of Science and Technology, 2014)

Email: hoangtd@soict.hust.edu.vn / hoang.taduy@hust.edu.vn

Web: https://soict.hust.edu.vn/ts-ta-duy-hoang.html

Research Areas

  • Operations Research
  • Communication Networks
  • Data Structures and Algorithms
  • Artificial Intelligence
  • Machine Learning

Research Interests

  • Optimization in Communication Networks
  • Reliability Assurance in Communication Networks
  • Advanced Technologies for 5G/6G and Next-Generation Networks

Introduction

Dr. Tạ Duy Hoàng is currently a Lecturer at the School of Information and Communication Technology (SoICT), Hanoi University of Science and Technology (HUST). His main research directions include graph theory and combinatorics, quantum information and computation, and group testing. Before joining HUST, he conducted postdoctoral research at the National University of Singapore (NUS) from 2022 to 2025. He received his Ph.D. in 2022 from the École Normale Supérieure de Lyon (ENS de Lyon, France). Prior to that, he completed his Master’s degree in Theoretical Computer Science at ENS de Lyon and his Engineering degree at Hanoi University of Science and Technology.

Selected Publications

  • Chee Yeow Meng, Etzion Tuvi, Ta Hoang, Vu Van Khu. “Constructions of covering sequences and 2D-sequences” Designs, Codes, and Cryptography, 2025. DOI: https://link.springer.com/10.1007/s10623-025-01726-5
  • Chee Yeow Meng, Ta Hoang, Vu Van Khu. “An Efficient Parameterized Algorithm for Computing Quantum Channel Fidelity via Symmetries Exploitation” IEEE Transactions on Information Theory, 2025. DOI: https://ieeexplore.ieee.org/document/11082348/
  • Huy Pham, Hoang Ta, Hoa T. Vu. “Constructing Decision Trees from Data Streams” IEEE International Symposium on Information Theory, 2025. DOI: https://ieeexplore.ieee.org/document/11195218
  • Nguyen Quoc Tuan, Ta Duy Hoang, Huynh Thi Thanh Binh (2018). A Guided Differential Evolutionary Multi-tasking with Powell search method for solving Multi-objective Continuous Optimization. 2018 IEEE World Congress on Computational Intelligence, 43473.
  • Pham Quang Dung, Huynh Thanh Trung, Ta Duy Hoang, Nguyen Thanh Hoang (2015). A Java library for Constraint-Based Local Search: Application to the master thesis defense timetabling problem. Proceedings of the Sixth International Symposium on Information and Communication Technology.