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Antoine Tambue is a Full Professor in Mathematics at Department of Computer science, Electrical engineering and Mathematical sciences, Western Norway University of Applied Sciences (HVL), Norway.

In 2010, he obtained a PhD in Mathematics at Heriot-Watt University (UK) via an interdisciplinary collaborative project (Bridging the Gaps Between Engineering and Mathematics) between the department of mathematics and Institute of Petroleum Engineering (since 2019 Institute of GeoEnergy Engineering). His PhD study was funded by the prestigious ORS Awards Scheme. He was a postdoctoral associate at the University of Bergen from 2010 to December 2013 and at the Norwegian University of Science and Technology (NTNU) in 2014. In July 2014, Antoine was appointed as the first AIMS ARETÉ (African Research, Education and Teaching Excellence) junior research Chair funded by Robert Bosch Stiftung (Germany) and was based at African Institute for Mathematical Sciences (AIMS) in South Africa and the University of Cape Town. The research chair position allowed him to supervise as main supervisor 5 PhD students and 12 masters theses at AIMS South Africa, University of Cape Town (South Africa), University of Dschang (Cameroon), Chemnitz university of technology (Germany) and Institut de Mathematiques et des Sciences physiques (Benin).

More earlier, he completed a Bachelor in Mathematics at University Dschang in Cameroon, a Master in Mathematics at University of Yaounde I, Cameroon, a professional Master in Mathematics Education at Ecole Normale Superieure de Yaounde and a postgraduate diploma in mathematical Sciences at AIMS South Africa and University of Cape Town in South Africa.

E-mail: antonio@aims.ac.za, antoine.tambue@hvl.no, antoine.tambue@uct.ac.za

Research Interests

My research group are working on:

Stochastic Calculus

Subsurface Reservoirs Simulation (oil, water, gas, and geothermal reservoirs)

Numerical Analysis for deterministic and Stochastics PDEs

Applied Mathematics

Computational finance

Computational statistics

Uncertainty quantification

Representative works