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 member and Vice Chair of the Science Committee on Computer Science and Information Technology, The National Foundation for Science and Technology Development – NAFOSTED from 2019-2022, 2023-2024. Her current research interests: Artificial Intelligence, Algorithms and Optimization, Computational Intelligence, Memetic Computing, Evolutionary Multitasking. She has published more than 130 refereed academic papers/articles. She is Associate Editor of the Swarm and Evolutionary Computation (2024 – now), Engineering Applications of Artificial Intelligence Journal (2021-now), IEEE Transactions on Emerging Topics in Computational Intelligence (2022-now); Editor Board of Journal of Computer Science and Cybernetics (2015 – now), Journal of Science and Technology (2021-now). She has served as a regular reviewer, 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 member of IEEE Computational Intelligence Society – Women in Computational Intelligence Committee (2017-2021); Chair of IEEE Computational Intelligence Society Vietnam Chapter (IEEE Vietnam CIS). She is member of some committees of IEEE Asia Pacific: Student Activities Committee Chair (2019, 2020); IEEE Asia Pacific Conference & Technical Seminar and Conference Quality Management Committee (2019, 2020), IEEE Asia Pacific Diversity, Equity & Inclusion 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, DOI: 10.1109/TEVC.2022.3227120.
2. 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), accepted as Full paper.
3. Ta Bao Thang, Nguyen Binh Long, Ngo Viet Hoang, Huynh Thi Thanh Binh, Adaptive Knowledge Transfer in Multifactorial Evolutionary Algorithm for the Clustered Minimum Routing Cost Problem, Applied Soft Computing,107253, 2021 (Q1, IF: 6.7).
4. 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, 104187, 2021 (Q1, IF: 6.2).
5. 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, 107365, 2021, (Q1, IF: 6.7).
6. 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, Volume 180, September 2019, pp. 12-25. (Q1, IF: 8.0).
7. 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, 2020 (Q1, IF: 8.0).
8. Phan Thi Hong Hanh, Pham Dinh Thanh, Binh Huynh Thi Thanh, Evolutionary Algorithm and Multifactorial Evolutionary Algorithm on Clustered Shortest-Path Tree problem, Information Sciences, pp.280-304, 2021. (Q1, IF: 6.79).
9. Pham Dinh Thanh, Huynh Thi Thanh Binh, Multifactorial Evolutionary Algorithm for Solving Clustered Tree Problems: Competition among Cayley Codes, Memetic computing, pp.185-217, 2020 (Q1, IF: 5.9).
10. 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, 2020 (Q1, IF: 6.79).

• First prize, Numerical Global Optimization Competition on Generalized Numerical Benchmark Generator -generated Test Suite, The Genetic and Evolutionary Computation Conference (2024).
• First prize, Multi-task single-objective optimization (MTSOO), Competition on Evolutionary Multi-task Optimization, 2022 IEEE World Congress on Computational Inteligence (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’ 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).
• Best paper award, 2015 IEEE R10 Humanitarian Technology Conference, HTC 2015.
• Best Presentation Award, 2015 IEEE R10 Humanitarian Technology Conference, HTC 2015.

• Discrete Mathematics
• Evolutionary Computation