Huynh Thi Thanh Binh

Associate Professor
Head of Optimization Group
Vice Dean, School of Information and Communication Technology
Hanoi University of Science and Technology

Ph.D (Hanoi University of Science and Technology, 2011)
M.S. (Hanoi University of Science and Technology, 1999)
B.Eng. (Hanoi University of Science and Technology, 1997)

Email: binhht@soict.hust.edu.vn
Web:  https://users.soict.hust.edu.vn/binhht/

• Artificial Intelligence
• Algorithms and Optimization

• Artificial Intelligence, Algorithms and Optimization, Computational Intelligence, Evolutionary Multitasking.
• Evolutionary Computing for solving optimization problems in delivery systems, distributed systems, coverage problems in wireless sensor networks (WSNs), maximize lifetime in WSNs, optimization problems in wireless rechargeable sensor networks, drone delivery schedule optimization.

• Knowledge-based exchange for Path Planning Problems (funded by Office of Naval Research (ONR) Global (ONRG) and the U.S. Army Combat Capabilities Development Command Indo-Pacific (DEVCOM Indo-Pacific), 2023-2025).
• Transfer Learning for Combinatorial Optimization problems (funded by Vingroup Innovation Foundation, 2022-2024)
• A Fine-grained AI-based Mobile Air Quality Monitoring and Forecasting System (funded by Vingroup Innovation Foundation, 2020-2022)
• Towards energy-unlimited IoT networks by nature-inspired algorithms (funded by National Foundation of Science and Technology—NAFOSTED, 2020-2022)
• Multitasking Evolutionary Algorithms for Optimizing Artificial Neural Network and Graph-Based Models (funded by U.S Army Research Lab and US Army International Research Center – Asia Pacific, 2019-2022)
• Developing metaheuristic techniques for solving optimization problems in distributed and software systems (funded by National Foundation of Science and Technology—NAFOSTED, Vietnam-Germany bilateral: 2017-2019).

Huynh Thi Thanh Binh is Associate Professor and Vice Dean of the School of Information and Communication Technology (SoICT), Hanoi University of Science and Technology (HUST). She is Head of Optimization Group. She is Chair (2025-2027)/ Vice Chair (2023-2024) of the Science Committee on Computer Science and Information Technology, The National Foundation for Science and Technology Development—NAFOSTED. Her current research interests: Artificial Intelligence, Algorithms and Optimization, Computational Intelligence, Memetic Computing, Evolutionary Multitasking. She has published more than 150 refereed academic papers/articles. She is Associate Editor of the Swarm and Evolutionary Computation (2024–now), Engineering Applications of Artificial Intelligence Journal (2021–now), and IEEE Transactions on Emerging Topics in Computational Intelligence (2022–now). She has served as a regular reviewer and a program committee member of numerous prestigious academic journals and conferences, such as Transactions on Evolutionary Computation, Swarm and Evolutionary Computation, Applied Soft Computing, Information Sciences, Memetic Computing, Congress on Evolutionary Computation (CEC), The Genetic and Evolutionary Computation Conference (GECCO), NeurIPS…

She is Chair of IEEE Computational Intelligence Society Vietnam Chapter (IEEE Vietnam CIS) and a member of some committees of IEEE Asia Pacific: Student Activities Committee Chair (2019, 2020); Conference & Technical Seminar and Conference Quality Management Committee (2019, 2020); and Collaboration and Engagement Committee Chair (2025, 2026).

1. Huynh Thi Thanh Binh, Le Van Cuong, Ta Bao Thang, Nguyen Hoang Long, “Ensemble Multifactorial Evolution with Biased Skill-Factor Inheritance for Many-task Optimization”, Transactions on Evolutionary Computation, pp. 1735-1749, vol. 27, no. 6, 2022. (Q1, IF: 12.0) 
2. Pham Vu Tuan Dat, Doan Long, and Huynh Thi Thanh Binh, “Hsevo: Elevating automatic heuristic design with diversity-driven harmony search and genetic algorithm using llms”, Proceedings of the AAAI Conference on Artificial Intelligence, pp. 26931-26938, vol. 39, no. 25, 2025. (rank A*) 
3. Nguyen Binh Long, Do Tuan Anh, Ha-Bang Ban, and Huynh Thi Thanh Binh, “An online transfer learning based multifactorial evolutionary algorithm for solving the clustered Steiner tree problem”, Knowledge-Based Systems, pp. 111870, vol. 296, 2024. (Q1, IF: 7.6) 
4. Tran Hai Long, Doan Cao Thanh Long, Luong Ngoc Hoang, Huynh Thi Thanh Binh, “A Two-Stage Multi-Objective Evolutionary Reinforcement Learning Framework for Continuous Robot Control”, The 2023 Genetic and Evolutionary Computation Conference (GECCO), pp. 577-585, 2023. (rank A) 
5. Le Tien Thanh, Ta Bao Thang, Le Van Cuong, and Huynh Thi Thanh Binh, “Multitask Augmented Random Search in deep reinforcement learning”, Applied Soft Computing, pp. 111605, vol. 160, 2024. (Q1, IF: 6.7) 
6. Huynh Thi Thanh Binh, Ta Bao Thang, Nguyen Duc Thai, Pham Dinh Thanh, “A bi-level encoding scheme for the clustered shortest-path tree problem in multifactorial optimization”, Engineering Applications of Artificial Intelligence, pp. 104187, vol. 100, 2021. (Q1, IF: 8.0) 
7. Nguyen Thi Tam, Tran Huy Hung, Huynh Thi Thanh Binh, Le Trong Vinh, “A decomposition-based multi-objective optimization approach for balancing the energy consumption of wireless sensor networks”, Applied Soft Computing, pp. 107365, vol. 107, 2021. (Q1, IF: 6.7) 
8. Nguyen Thi Tam, Huynh Thi Thanh Binh, Vi Thanh Dat, Phan Ngoc Lan, Le Trong Vinh, “Towards optimal wireless sensor network lifetime in three dimensional terrains using relay placement metaheuristics”, Knowledge Based Systems, pp.106407, vol. 206, 2020. (Q1, IF: 7.6) 
9. Huynh Thi Thanh Binh, Pham Dinh Thanh, Tran Ba Trung, Le Cong Thanh, Le Minh Hai Phong, Ananthram Swami, Bui Thu Lam, “A Multifactorial Optimization Paradigm for Linkage Tree Genetic Algorithm”, Information Sciences, pp. 325-344, vol. 540, 2020. (Q1, IF: 6.8 ) 
10. Huynh Thi Thanh Binh, Pham Dinh Thanh, Ta Bao Thang, “New Approach to Solving The Clustered Shortest-Path Tree Problem Based on Reducing The Search Space of Evolutionary Algorithm”, Knowledge-Based Systems, pp. 12-25, vol. 180, 2019. (Q1, IF: 7.6)

• First prize, Competition on LLM-designed Evolutionary Algorithms, The Genetic and Evolutionary Computation Conference – rank A (2025).
• Second prize, Numerical Global Optimization Competition on Generalized Numerical Benchmark Generator-generated Test Suite, The Genetic and Evolutionary Computation Conference – rank A (2025). 
• Second prize, Competition on LLM-designed Evolutionary Algorithms, The Genetic and Evolutionary Computation Conference – rank A (2025). 
• First prize, Numerical Global Optimization Competition on Generalized Numerical Benchmark Generator-generated Test Suite, The Genetic and Evolutionary Computation Conference – rank A (2024).
• First prize, Multi-task single-objective optimization (MTSOO), Competition on Evolutionary Multi-task Optimization, 2022 IEEE World Congress on Computational Intelligence (2022).
• First prize, Competition on Evolutionary Multi-task Optimization, Multi-task Single-objective Optimization (MTSOO), 2021 IEEE Congress on Evolutionary Computation (CEC 2021).
• Second prize, Competition on Evolutionary Multi-task Optimization, Multi-task Single-objective Optimization (MTSOO), 2020 IEEE World Congress on Computational Intelligence (WCCI 2020).
• Third prize, Competition on Electric Vehicle Routing Problem, 2020 IEEE World Congress on Computational Intelligence (WCCI 2020).
• Hanoi University of Science and Technology’s Outstanding faculty in Scientific Research Award—Influential Publications (2020).
• Ministry of Education and Training’s Outstanding faculty award (2020).
• First prize, Multi-task single-objective optimization (MTSOO), Competition on Evolutionary Multi-task Optimization, 2018 IEEE World Congress on Computational Intelligence (WCCI 2018).

• Discrete Mathematics
• Evolutionary Computation