Contact

CIFRE Ph.D Student in Computer Science
University of Caen Normandy
GREYC UMR CNRS 6072
Cybersecurity Domain

FB 328 Boulevard du Maréchal Juin, Bâtiment F, F-14000 Caen.

+33(0)660441465

GitHub

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CV

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Education

2024-2027: Ph.D Student in Computer Science, CIFRE contract (ANRT-téïcée-GREYC), University of Caen Normandy, Caen, France
- Thesis topic: fighting phishing email attacks
2020-2021: Master of Science (M2) in Electronics, Electrical Engineering and Automatic Control, University of Dschang, Cameroon
2019-2020: Master I in Electronics, Electrical Engineering and Automatic Control, University of Dschang, Cameroon
2016-2019: Bachelor's Degree in Science and Technology, Physics, Electronics and Automatic Control, University of Dschang, Cameroon
2016: Scientific Baccalaureate, Government Bilingual High School Nkambe, North-West, Cameroon

Work experience

2024-2027: téïcée Company, Network and Security division, Bretteville-sur-Odon
- Research and Development, CIFRE Ph.D student
- Design of an operational phishing email detection system based on natural language processing, machine learning and large language models
- Supervisors: Philippe Chauvat, Mathieu Valois
2024-2027: University of Caen Normandy
- Research topic: "Phishing Email Detection using AI technics"
- Supervisors: Christophe ROSENBERGER, Emmanuel Giguet
2024-2026: National Engineering School of Caen (ENSICAEN)
- Teaching assistant of Data Analysis, Data Mining and Explainability of Artificial Intelligence for Second year Computer Science Students
- Supervisor: Christophe Rosenberger
2024: Cyber in Normandy Summer School, ENSICAEN, Caen
- Email forensics project proposed by the téïcée company
- Mailbox description, content analysis (spam detection, sentiment analysis, geolocation, URL extraction), user behaviour and relational graphs
2023: Machine Learning Engineer, Agrix Technology, Yaoundé, Cameroon
- Methodological framework and computer vision models for the automatic detection of poultry diseases (coccidiosis, salmonella, Newcastle disease) from droppings analysis
2022-2023: Lecturer in Artificial Neural Networks, University of Dschang, Cameroon
- Course taught to M2 physics students (EEA option) and supervision of Master's research projects
2021-2022: Teacher in Computer Science and Electronics, Collège Évangélique Bilingue de Bafoussam, Cameroon
- Power electronics and computer science (Terminale F3), analog electronics (Première F3)

Publications

You can consult my publications at

Consult my profile at

International conferences with proceedings and peer review

A. F. Tsafack Piugie, M. Valois, E. Giguet, P. Chauvat, and C. Rosenberger, "Features analysis of all email components for phishing detection", in IEEE International Carnahan Conference on Security Technology (ICCST), San Antonio, TX, USA, October 2025. slides
A. F. Tsafack Piugie, M. Valois, E. Giguet, C. Rosenberger, and P. Chauvat, "Fine-tuning LLMs for operational phishing email detection", in Proceedings of the 23rd International Conference on Security and Cryptography (SECRYPT), Porto, Portugal, pp. 761-772, SCITEPRESS, July 2026. slides

Submitted papers

S. Ficca, J. Aravena, A. F. Tsafack Piugie, E. Giguet, C. Rosenberger, and M. Valois, "How attackers phish victims: a large scale empirical study", 2026. Submitted to the International Conference on Information Security (ISC), under review.

Teaching

I am Teaching Assistant in the following subjects

Engineering school (ENSICAEN, Second Year Computer Science Students)
- Data Analysis
- Data Mining
- Explainability of Artificial Intelligence
Master (University of Dschang, M2 physics, EEA option)
- Artificial Neural Networks
High school (Terminale and Première F3)
- Power Electronics
- Analog Electronics
- Computer Science

Research

My research themes are

Phishing Email Detection and Email Security in Cybersecurity Domain
Artificial Intelligence and Natural Language Processing
Machine Learning and Large Language Models
Explainability of Artificial Intelligence

Collaborations

Industrial research within the CIFRE framework (ANRT) between the GREYC laboratory and the téïcée company
Operational data from the SignalSpam non-profit organization

Scientific life

REDOCS 2024 (AMOSSYS/MANTIS challenge)
EGC 2025
GREYC laboratory day 2025
Cyber in Normandy Summer School 2024

Technical skills

Programming: Python, C++, Java, LaTeX, Bash
Machine Learning: PyTorch, TensorFlow, Keras, scikit-learn, HuggingFace Transformers, SHAP
Models: CamemBERT, XLM-RoBERTa, Mistral 7B, CNN, Transformers, classical classifiers
Tools: Git, Docker, Jupyter, PyCharm, VS Code, Anaconda, high performance computing clusters
Languages: French (native), English (professional)

Presentations