Do Tuan Anh

Lecturer, Department Of Computer Science

Ph.D. (Computer Science, Hanoi University of Science and Technology, 2025)
M.S. (Information Technology, Hanoi University of Science and Technology, 2008)
B.S. (Information Technology, Hanoi University of Science and Technology, 2005)

Email: anh.dotuan@hust.edu.vn
Web: https://users.soict.hust.edu.vn/anhdt/

• Blockchain
• Game
• Database
• Operating System

• • Financial Technology
  • Big Data Analytics
  • Database Systems
  • Game Application
  • Concept of Operating System

• Real-Time Multiplayer Mobile Games 
• Transfer Learning 
• Multi-domain routing optimization 

Do Tuan Anh received the Master’s degrees from Hanoi University of Technology in 2008, and he is currently a doctoral graduate student at Hanoi University of Technology. He is a lecturer and PhD at the Faculty of Computer Science, School of Information and Communication Technology, Hanoi University of Technology and at Faculty of Computer Science. His research interests include algorithm analysis, combinatorics optimization, software testing and debugging, and AI. He also has extensive experience in the field of technology as he has worked many years in the business environment. 

1. Do Tuan Anh, Nguyen Binh Long, Ban Ha Bang, and Huynh Thi Thanh Binh. “A multipopulation multitasking evolutionary scheme with adaptive knowledge transfer to solve the clustered minimum routing cost tree problem.” Information Sciences 657 (2024): 119961.
2. Do Tuan Anh, Huynh Thi Thanh Binh, et al. “A multi-population multi-tasking variable neighborhood search algorithm with diversity enhancements for inter-domain path computation problem.” Swarm and Evolutionary Computation 86 (2024): 101501.
3. Do Tuan Anh, Phung Bao Ha, Nguyen Thai Ha, Do Tien Dzung, Ban Ha Bang, and Pham Dang Hai. “A Monte Carlo Tree Search with Ant Colony Optimization for Inter-domain Path Computation Problem.” In Proceedings of the 12th International Symposium on Information and Communication Technology, pp. 671-678. 2023.
4. Do Tuan Anh, Huynh Thi Thanh Binh, Ha-Bang Ban, Tran Cong Dao, Do Luong Kien, Nguyen Hoang Long “Node-depth based Genetic Algorithm to solve Inter-Domain path computation problem”, Knowledge-Based Systems, accepted. (Q1, IF: 8.0).
5. Do Tuan Anh, Ha-Bang Ban, Huynh Thi Thanh Binh, Minh Tu Le, and Binh Long Nguyen. “Genetic algorithm based approach to solve the Clustered Steiner Tree Problem.” Evolutionary Intelligence (2023): 1-20.
6. Do Tuan Anh, Ha-Bang Ban, Huynh Thi Thanh Binh, Minh Tu Le, and Binh Long Nguyen. “Genetic algorithm based approach to solve the Clustered Steiner Tree Problem.” Evolutionary Intelligence (2023): 1-20.
7. Tran Cong Dao, Do Tuan Anh, Huynh Thi Thanh Binh, Ban Ha Bang, Do Duc Anh, Nguyen Phan Bach Su, “MNDE: Node-depth encoding can do better in evolutionary multitask algorithms”, The 2023 Genetic and Evolutionary Computation Conference (GECCO), accepted as Poster paper.
8. Do Tuan Anh, H. Thi Thanh Binh, N. H. Long and T. V. Diep. A Genetic Ant Colony Optimization Algorithm for Inter-domain Path Computation problem under the Domain Uniqueness constraint. In: 2022 IEEE Congress on Evolutionary Computation (CEC), accepted, 2022.
9. Do Tuan Anh, Huynh Thi Thanh Binh, Hoang Long Nguyen, Bao Thang Ta and Simon Su, A Two-level Genetic Algorithm for Inter-domain Path Computation under Node-defined Domain Uniqueness Constraints, in 2021 IEEE Congress on Evolutionary Computation (CEC).
10. Do Tuan Anh, Huynh Thi Thanh Binh, Hoang Long Nguyen, Bao Thang Ta and Simon Su, A two-level strategy based on evolutionary algorithm to solve the Inter-domain path computation under node-defined domain uniqueness constraint, in 2021 Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III, USA, 2021, pp.1-8.

• First prize, Multi-task single-objective optimization (MTSOO), Competition on Evolutionary Multi-task Optimization, 2022 IEEE World Congress on Computational Inteligence (2022). 

• First prize, Multi-task single-objective optimization (MTSOO), Competition on Evolutionary Multi-task Optimization, 2021 IEEE Congress on Evolutionary Computational (CEC 2021). 

• IT1110: Introduction to Informatics
• IT1118: Introduction to Programming
• IT3070: Concept of Operating System
• IT3011: Data Structure and Algorithms
• IT3170:​ Applied Algorithms
• IT4906: Evolutionary Computing