Johan Wiklund
Papers
6
Total Citations
65
H-Index
5
About
Johan Wiklund’s research career spans a fascinating intersection of experimental fluid dynamics, non-invasive measurement technologies, and intelligent systems. His most impactful work centers on the development and refinement of the Ultrasonic Velocity Profiling (UVP) technique for complex industrial environments. His 2010 paper on measuring flow behavior in complex geometries using UVP, with 27 citations, established a foundational method for visualizing velocity fields in opaque fluids. Wiklund’s major contribution is the creation of the Flow-Viz rheometric system, a novel tool that enables detailed, non-invasive velocimetry measurements through industrial stainless steel pipes—a significant breakthrough for processing industries. By characterizing acoustic beam propagation through high-grade steel, he has directly addressed the challenge of applying pulsed ultrasound to real-world industrial fluids. Earlier in his career, Wiklund also explored exploratory learning in artificial cognitive systems and multi-UAV relative positioning using natural landmarks, demonstrating a broad technical curiosity. His work in robot vision and scientific visualization further underscores his versatility. With a portfolio that bridges fundamental measurement science and practical industrial application, Wiklund’s research continues to enable safer, more efficient monitoring of complex fluid systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Exploratory learning structures in artificial cognitive systems13 citations · 2009
- 3Issues in robot vision9 citations · 1994
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