Dr. Tri Huynh (2019-2023)
Curriculum Vitae
Tri Huynh joined Software Engineering of Business Information Systems Chair as a research associate from October 2019 to September 2023. He holds a M.Sc. in Computer Science, awarded by Saarland University.
His Master Thesis is Constructing Vehicle Crash Simulation from Crash Report, which leverages Natural Language Processing and Ontology to analyze and simulate crash reports in BeamNG, a 3D Vehicle Simulation Game Engine.
At sebis, his main research focus is the design and development of Domain Specific Language to enhance productivity, efficiency or usability to the users in the healthcare sector. He also interests in applied software engineering, particularly in the healthcare domain.
Research Interest
- Domain Specific Language
- Applied Software Engineering in Healthcare
Research Projects
- Shared Decision Making Assistant for Schizophrenia Treatment (completed)
- Legal Document Automation Tool Survey 2020 (completed)
Publication
| 2023 | |
| Huynh, T.; Erdem, S.; Eckert, F. and Matthes, F. (2023). Acadela: A Domain-Specific Language for Modeling Clinical Pathways. In Proceedings of the 18th International Conference on Software Technologies, ISBN 978-989-758-665-1, ISSN 2184-2833, pages 46-58. | |
| 2022 | |
| Siafis, S., Bursch, N., Müller, K., Schmid, L., Schuster, F., Waibel, J., ... & Hamann, J. (2022). Evidence-based Shared-Decision-Making Assistant (SDM-assistant) for choosing antipsychotics: protocol of a cluster-randomized trial in hospitalized patients with schizophrenia. BMC psychiatry, 22(1), 1-12. | |
| 2020 | |
| Glaser, I., Huynh T., Klymenko O., Labrenz B., Matthes, F.: Legal Document Automation Tool Survey 2020, Technische Universität München, Munich, Germany, 2020. | |
| Glaser, I., Huynh T., Klymenko O., Labrenz B., Matthes, F.: Legal Document Automation Tool Survey 2020, Future Skills: Die Zukunft der juristischen Aus- und Weiterbildung, Volume 06.2020, 80-84. | |
| 2019 | |
| Gambi, A.; Huynh, T.; Fraser, G.; (2019). Generating effective test cases for self-driving cars from police reports. 257-267. 10.1145/3338906.3338942. | |
| Gambi, A.; Huynh, T.; Fraser, G.; (2019). Automatically Reconstructing Car Crashes from Police Reports for Testing Self-Driving Cars. 290-291. 10.1109/ICSE-Companion.2019.00119. | |
| Huynh, T.; Gambi, A.; Fraser, G.; (2019). AC3R: Automatically Reconstructing Car Crashes from Police Reports. 31-34. 10.1109/ICSE-Companion.2019.00031. | |
Teaching (in reverse chronological order)
| Term | Course | Type | Role |
| SS23 | SEBA Master | Master Course | Advisor |
| WS 22/23 | SEBA Lab Course | Lab Course | Advisor |
| WS 22/23 | Advanced Topics of Software Engineering | Master Course | Coordinator & Advisor |
| SS 22 | SEBA Master | Master Course | Advisor |
| WS 21/22 | Advanced Topics of Software Engineering | Master Course | Organizer |
| SS 21 | SEBA Master | Master Course | Advisor |
| WS 20/21 | SEBA Lab Course | Lab Course | Advisor |
| SS 20 | SEBA Master | Master Course | Advisor |
| SS 20 | Natural Language Processing - Methods and Applications | Seminar | Advisor |
| WS 19/20 | Master Lab Course Web Applications | Lab Course | Advisor |