Arnold Heemink

Arnold Heemink is a full professor of Applied Analysis at the Delft Institute of Applied Mathematics, part of the Faculty of Electrical Engineering, Mathematics and Computer Science at Delft University of Technology. He has maintained this position since 1993, having previously served as a part-time professor at the same institution from 1990-1993 while also working at Rijkswaterstaat where he was Head of the Mathematical Modeling section.

His educational background includes a B.Sc. in Applied Mathematics (Systems Theory) from the University of Twente (1974-1978), followed by an M.Sc. in Applied Mathematics (Mathematical Physics) from the same institution (1978-1980), and finally a PhD in Applied Mathematics completed in 1986.

• 1974-1978: University of Twente, B.Sc. Applied Mathematics (Systems Theory)
• 1978-1980: University of Twente, M.Sc. Applied Mathematics (Mathematical Physics)
• 1980-1986: University of Twente, PhD in Applied Mathematics

Professor Heemink's research focuses on large-scale systems, data assimilation, inverse problems, and numerical schemes for stochastic differential equations. His work bridges theoretical mathematics with practical environmental and physical applications, particularly in atmospheric and oceanic modeling. Recent publications demonstrate his expertise in applying advanced mathematical techniques to real-world problems including air quality monitoring, wave data assimilation, and magnetic state prediction.

His publication record shows consistent output with multiple high-impact papers in 2023-2025, primarily focusing on environmental applications of data assimilation techniques. These works span diverse domains from atmospheric transport modeling to ocean wave prediction and magnetic field analysis, all united by his core expertise in mathematical modeling and data assimilation.

While specific awards are not listed in the available information, Professor Heemink maintains an active research profile with collaborations spanning multiple countries and institutions, as evidenced by his international co-authorship patterns.

His current work appears focused on advancing data assimilation methodologies for environmental monitoring systems, with particular attention to air quality networks, ocean wave prediction, and atmospheric modeling. He continues to supervise research activities within the Mathematical Physics section of the Delft Institute of Applied Mathematics.