Bui Thi Mai Anh

Lecturer, Department Of Computer Science

Ph.D. (Computer Science, University of Pierre and Marie Curie, 2016)
M.S. (Computer Science, University of La Rochelle, France, 2011)
B.S. (Hanoi University of Science and Technology, 2007)

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

• Software Engineering
• Computational Biology
• Natural Language Processing
• Modeling of complex systems

• Domain Specific Language
• Model Driven Architecture
• Machine Learning applied in Software Engineering
• Modeling of epidemiological systems
• Text summarization
• Sentiment analysis of text

Bui Thi Mai Anh currently serves as a Lecturer in the Computer Science Department at the School of Information and Communication Technology, Hanoi University of Science and Technology (HUST) in Vietnam. She earned her Ph.D. in Software Engineering and Computer Science from the University of Pierre and Marie Curie (Paris 6) in France in 2016.

Her research pursuits revolve around the utilization of Artificial Intelligence in diverse realms of Software Engineering, with a specific emphasis on leveraging Natural Language Processing for analyzing source code. She is also deeply involved in crafting Domain Specific Languages for modeling intricate systems and ensuring their verification and validation. Notably, her initial modeling language is tailored for the field of epidemiology, facilitating epidemiologists in model creation and analysis. At the BK-AI Center, SOICT, she spearheads the research group on intelligent software engineering (RISE Group). Additionally, she plays a pivotal role as a key member of the Data Analysis and Operational Research group. Her interests extend to employing operational research methodologies to tackle various data science challenges, encompassing data discretization, sampling, and beyond.

• Bùi Thị Mai Anh, Dương Việt Anh, Bùi Quốc Trung. A Filter Approach Based on Binary Integer Programming for Feature Selection. RIVF 2022. 677-682. Ho Chi Minh City. 20/12/2022
• Bùi Thị Mai Anh, Nguyễn Nhất Hải. On the Value of Code Embedding and Imbalanced Learning Approaches for Software Defect Prediction. SOICT 2023. 510-516. TP Hồ Chí Minh. 07/12/2023
• Hồ Anh, Bùi Thị Mai Anh, Phương Nguyễn, Amleto Di Salle. Fusion of deep convolutional and LSTM recurrent neural networks for automated detection of code smells. EASE 2023. 229–234. Finland. 14/06/2023
• Bùi Thị Mai Anh, Đỗ Văn Trị, Bùi Quốc Trung. A Novel Fitness Function for Automated Software Test Case Generation Based on Nested Constraint Hardness. GECCO 2023. 11-14. Lisbon, Portugal. 15/07/2023
• Bùi Thị Mai Anh, Nguyễn Nhất Hải. A Novel Relevance Aggregation Approach for Bug Localization. RIVF 2023. 539–545. Hanoi. 23/12/2023
• Bui Quoc Trung, Duong Viet Anh, Bui Thi Mai Anh. A Novel Meta-Heuristic Search Based on Mutual Information for Filter-Based Feature Selection. ACIIDS 2023. 207-219. 24/07/2023
• Bui Thi Mai Anh, Nguyen Thi Thu Trang, Tran Thi Dinh. A Novel Type-based Genetic Algorithm for Extractive Summarization. Thirty-Fifth International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems. 143-155. 19/07/2022
• Ho Anh, Nguyễn Nhất Hai, Bùi Thị Mai Anh. Combining Deep Learning and Kernel PCA for Software Defect Prediction. SOICT 2022. 360-367. Ha Noi – Quang Ninh. 01/12/2022
• Bùi Quốc Trung, Trần Văn Trí, Bùi Thị Mai Anh. Empirical Analysis of Filter Feature Selection Criteria on Financial Datasets. SOICT 2022. 413-419. Hanoi – Quang Ninh. 01/12/2022
• Bui Thi Mai Anh, Nguyen Viet Luyen. An Imbalanced Deep Learning Model for Bug Localization. 28th Asia-Pacific Software Engineering Conference. 32-40. Taiwan. 06/12/2021
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• IT3180, IT4082E: Introduction to Software Engineering
• IT4501: Software Quality Assurance and Testing
• IT3140: Programming Techniques
• IT4142E/IT4930: Introduction to Data Science
• IT5425: Data Management and Data Visualization
• IT4536: Design Pattern