Håkon Hoel

Dr. Håkon Hoel is an Associate Professor at the Department of Mathematics, University of Oslo. His academic career spans prestigious institutions including KTH Royal Institute of Technology, KAUST University, and RWTH Aachen.

• Education
  • PhD in Numerical Analysis (2012), KTH Stockholm
  • Master in Computational Science (2006), University of Oslo
  • Bachelor in Computational Science (2004), University of Oslo

Research Focus: Dr. Hoel specializes in numerical methods for stochastic and partial differential equations, with emphasis on Monte Carlo methods, data assimilation, and computational mathematics. His work addresses robustness and efficiency in solving stochastic problems through advanced algorithms.

Publication Trends: Over the past decade, Dr. Hoel has contributed to multilevel Monte Carlo methods, ensemble Kalman filtering, and optimal stopping criteria in stochastic simulations, with applications in spatio-temporal modeling and uncertainty quantification.

• Labs & Teams
  • Research groups: Beregningsorientert Matematikk (Computational Mathematics)