Jan Peter Hessling

Kapernicus AB

Jan Peter Hessling earned his PhD degree in theoretical physics from Chalmers University of Technology, Gothenburg, Sweden, 1996, and his MSc degree in physics from the University of Massachusetts, USA, 1991. Since then, he has been devoted to novel mathematical concepts, recently focusing on modeling uncertainty and dynamic analysis. Peter is the original proposer of Deterministic Sampling for uncertainty quantification and model calibration and Dynamic Metrology for analysis of dynamic measurements utilizing custom digital filtering. Peter has authored 3 book chapters for InTech and about 20 journal articles as leading author, current Google h-index=10. Since 2016, his concepts are further developed in the privately held company Kapernicus AB, dedicated to applied mathematical R&D, with services offered worldwide.

2books edited

4chapters authored

Latest work with IntechOpen by Jan Peter Hessling

Uncertainty quantification may appear daunting for practitioners due to its inherent complexity but can be intriguing and rewarding for anyone with mathematical ambitions and genuine concern for modeling quality. Uncertainty quantification is what remains to be done when too much credibility has been invested in deterministic analyses and unwarranted assumptions. Model calibration describes the inverse operation targeting optimal prediction and refers to inference of best uncertain model estimates from experimental calibration data. The limited applicability of most state-of-the-art approaches to many of the large and complex calculations made today makes uncertainty quantification and model calibration major topics open for debate, with rapidly growing interest from both science and technology, addressing subtle questions such as credible predictions of climate heating.

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