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 is currently a Lecturer of Computer Science at the School of Information and Communication Technology, Hanoi University of Science and Technology (HUST) of Vietnam. She received Ph.D in Software Engineering, Computer Science in 2016 from University of Pierre and Marie Curie (Paris 6) in France.

Her current research interests include Domain Specific Languages for modeling complexe systems, Software Engineering and Natural Language Processing. Her first modeling language is targeted to the domain of epidemiology. This language helps epidemiologists easily create their models and analyse them. She is also interested in applying machine learning in Software Engineering for software validation, software analysis etc. Beside software engineering, her research work focuses also on the text summarization – a subdomain of natural language processing.

• Bui Thi Mai Anh, Nick Papoulias, Serge Stinckwich, Mikal Ziane, Benjamin Roche. The Kendrick Modelling Platform: Language Abstractions and Tools for Epidemiology. BMC Bioinformatics (accepted on 17 April 2019).
• Bui Thi Mai Anh, Nick Papoulias, Mikal Ziane, Serge Stinckwich. Explicit Composition Constructs in DSLs – The case of the epidemiological modelling language Kendrick. In Proceedings of the 11^th edition of the International Workshop on Smalltalk Technologies, p. 20, ACM, 2016.
• Bui Thi Mai Anh, Mikal Ziane, Serge Stinckwich, Ho Tuong Vinh, Benjamin Roche, Nick Papoulias. Separation of concerns in epidemiological modelling. In Companion Proceedings of the 15^th International Conference on Modularity (MODULARITY Companion 2016). ACM, New York, NY, USA, 196-200.
• Bui Thi Mai Anh, Serge Stinckwich, Mikal Ziane, Benjamin Roche, Ho Tuong Vinh. Kendrick: A Domain Specific Language and platform for mathematical epidemiological modelling. In Computing & Communication Technologies-Research, Innovation and Vision for the Future (RIVF), 2015 IEEE RIVF International Conference on, pp. 132-137. IEEE, 2015.

• Kendrick: A modeling language and simulation platform for epidemiology
• Developing transformation rules using ATL language
• Extractive and Abstractive Text Summarization

• IT3040: Programming Techniques
• IT4501: Software Quality and Assurance
• IT4080: Introduction to Software Engineering
• IT3102: Oriented-Programming Principles and Languages
• IT6818: Software Modeling and Analysis
• QT3423: Français pour l’Informatique