Joel A.E. Andersson

Papers

Total Citations

3,693

H-Index

About

Joel A.E. Andersson is a leading figure in computational optimization and optimal control, renowned for his foundational contributions to algorithmic software for dynamic systems. He is the principal architect of CasADi, an open-source framework that has revolutionized nonlinear optimization and model predictive control. First introduced in a 2018 paper that has garnered over 3,690 citations, CasADi provides a powerful, symbolic-numeric environment for formulating and solving complex optimization problems, enabling researchers and engineers to tackle challenges in robotics, process control, and autonomous systems. Andersson’s work bridges the gap between theoretical advances and practical implementation, making advanced optimization accessible to a broad community. His impact is measured not only in citations but in the widespread adoption of CasADi across academia and industry, where it serves as a cornerstone for cutting-edge research in optimal control and machine learning. A prolific collaborator, his achievements include shaping modern algorithmic tools that empower scientists to push the boundaries of automation and decision-making.