MACHINE LEARNING GROUP

RPTU KAISERSLAUTERN-LANDAU

Dr. Boris Ndjia

Postdoctoral Researcher

Bio

Since 2025, Boris Ndjia has been a postdoctoral researcher in the Machine Learning Group led by Prof. Marius Kloft at RPTU Kaiserslautern-Landau. From 2017 to 2023, he pursued his Ph.D. in Machine Learning Theory at the University of Mons (Belgium) under the supervision of Prof. Xavier Siebert. During the same period (2016–2023), he also served as a teaching assistant in the Department of Mathematics and Operational Research at the same university. From 2023 to 2024, in collaboration with Prof. Xavier Siebert, he continued his research independently, focusing on the use of the reject option in active learning.

Research interests

Machine learning theory; active learning (nonparametric setting); reject option; deep learning.

Photo of Dr. Boris Ndjia
Appointments and scientific matters
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Office
RPTU, Building 36, Room TBD – 67663 Kaiserslautern

Curriculum Vitae

Education

2023
Doctoral degree in Machine Learning Theory, University of Mons, Belgium
2016
Master’s degree in Mathematics, University of Mons, Belgium
2013
Master’s degree in Mathematics, University of Douala, Cameroon

Professional Experience

Since 2025
Postdoctoral Researcher, RPTU Kaiserslautern-Landau
2023–2024
Independent researcher (in collaboration with Prof. Xavier Siebert)
2016–2023
Teaching Assistant (Mathematics & Machine Learning), University of Mons
2017–2023
Ph.D. candidate, University of Mons (Belgium)
2015–2016
Risk Analyst Intern, Risk Partenaires, Toul, France

Key publications

1. Boris Ndjia Njike, and Xavier Siebert. Multi-class classification in nonparametric active learning. International Conference on Artificial Intelligence and Statistics (AISTATS). PMLR, 2022.
2. Denis, C., Hebiri, M., Ndjia Njike, B., et al. Active learning algorithm through the lens of rejection arguments. Machine Learning 113, 753–788 (2024).