About Me
I am a researcher and developer specializing in artificial intelligence. My work focuses on building models for automated legal and Responsible AI, logical modeling, and legal compliance mechanisms for intelligent systems, particularly in sensitive domains like privacy and healthcare. I’m proficient in a range of technologies, from machine learning and deep learning to symbolic AI.
💼 Experience
- PhD in AI 🎓
- Sorbonne University, Paris, France
- 🗓️ APR 2021 - SEP 2024
- Dissertation: Automated Legal and Ethical Compliance for Trustworthy AI
- Developed and tested models of moral reasoning using knowledge representation in privacy and health care.
- Conducted literature reviews and authored manuscripts in interdisciplinary AI ethics research.
- Research Intern 🇯🇵
- National Institute of Informatics, Tokyo, Japan
- 🗓️ NOV 2023 - FEB 2024
- Research on legal norm compliance in AI.
- Tested conflicting scenarios with legal and ethical norms.
- Case studied a robotic delivery system in healthcare using ASP, Python.
- Internship 🇫🇷
- Telecom Paris, France
- 🗓️ APR 2021 - OCT 2021
- Research on NLP.
- Applied anomaly detection methods on textual data using Python and Scikit-learn.
🛠️ Skills & Technologies
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Core Competencies
Machine Learning, Deep Learning, Reinforcement Learning, Data Analysis, Data Visualizations, Symbolic AI, Knowledge Representation, Tutoring and Teaching Assistance.
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Programming Languages
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Python Libraries & Frameworks
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Databases
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Software Proficiency
Power BI, Spss, Minitab, SAS, Knime, Microsoft Office suit, Adobe suit
📚 Education
- Master (M2) - Algorithms and Learning
- Sorbonne University
- 🗓️ SEP 2019 - OCT 2020
- Thesis: Anomaly Detection on Textual Data
- Master - Mathematical Statistics
- University of Tehran
- 🗓️ SEP 2017 - SEP 2019
- Thesis: Applying Hidden Markov Models on Financial Data
- Bachelor’s - Applied Statistics
- University of Tehran
- 🗓️ SEP 2012 - AUG 2017
- Project: Implementation of Sampling methods in Excel VBA
🏆 Honors and Awards
- 1st Place - 2nd Data Mining Cup (MAR 2019) 🥇
- Developed the best model for airline demand prediction and route planning (out of 40+ teams).
- Ranked 2nd (Silver Medal) - 22nd student olympiad in statistics (JUL 2017) 🥈
- Ranked 2nd - University entrance exam (Masters) among 1000+ participants (MAY 2017) 🥈
- Ranked 1st (team) & 3rd (solo) - 17th national student Competition in Statistics (JUN 2016) 🥇🥉
💡 Research & Publications
A full list is available on Google Scholar
- Taheri, Y., 2024. Modeling automated legal and ethical compliance for trustworthy AI (Doctoral dissertation, Sorbonne Université). https://theses.fr/2024SORUS225
- Taheri, Y., Bourgne, G. and Ganascia, J.G., “Modelling integration of responsible AI values for ethical decision making.” 2nd Workshop on Computational Machine Ethics - KR, 2023.
- Taheri, Y., Bourgne, G. and Ganascia, J.G., “A compliance mechanism for planning in the privacy domain using policies.” JSAI International Symposium on Artificial Intelligence, pp. 77-92. Cham: Springer Nature Switzerland, 2021.
- Hayashi, H., Mitsikas, T., Taheri, Y., Tsushima, K., Schäfermeier, R., Bourgne, G., Ganascia, J.G., Paschke, A. and Satoh, K.. “Multi-agent online planning architecture for real-time compliance. “ 17th International Rule Challenge and 7th Doctoral Consortium@ RuleML+ RR 2023.
