Janosch Rieger

Janosch Rieger is a Senior Lecturer in the School of Mathematics at Monash University. Previously, he held a Marie-Curie Fellowship at Imperial College London (2015-2016) and worked as an Assistant at Goethe-University Frankfurt (2009-2015). He completed his PhD at Bielefeld University (2006-2009). His research focuses on numerical and analytical methods for stationary and evolving shapes/sets, with applications in control theory, inverse problems, and dynamical systems. He has collaborated internationally on topics like energy storage integration and robust decision-making in force design.

• Education: PhD in Mathematics, Bielefeld University (2009)
• Professional Experience: Senior Lecturer at Monash University (2016–present)

Research interests include shape optimization, control theory, numerical analysis, and set approximation. Recent work explores robust optimization frameworks, space-time discretization for control systems, and algorithms for reachable sets. His methodologies combine advanced numerical techniques with theoretical foundations from differential equations and functional analysis.

He has secured grants including the Integrating Energy Storage into the NEM project (2022–2024) and Towards Robust Decision Making in Force Design (2021). Awards include a Marie-Curie Fellowship (2015–2016).

• Advising: Accepting PhD students in computational mathematics and control systems.
• Labs/Teams: Active in Monash’s mathematical sciences research groups, focusing on numerical optimization and set-valued analysis.