معرفی
Anton Kruger is a Professor in the Electrical and Computer Engineering Department at the University of Iowa's College of Engineering with dual appointments as Faculty Research Engineer at IIHR—Hydroscience and Engineering and affiliation with the Iowa Flood Center. Joining the College of Engineering in 2003, Dr. Kruger has established a distinguished research program bridging electrical engineering with environmental monitoring applications.
His educational background includes:
- PhD in Electrical and Computer Engineering, University of Iowa (1992)
- MS in Electrical Engineering, Potchefstroom University (1986)
- BS in Electrical Engineering, Potchefstroom University (1984)
Dr. Kruger's research expertise spans embedded systems and software, advanced circuit techniques, and electronic circuits with applications in geophysical measurements, particle image velocimetry, and image processing. His work has produced innovative field instrumentation including the "Cybermussels" biological sensor network, river stage monitoring systems, and microwave-based crop water measurement technologies. He has developed practical solutions for environmental monitoring in challenging conditions where conventional sensors fail.
Analysis of his 15 most recent publications (2018-2023) reveals three dominant research thrusts: agricultural monitoring using microwave radiometry (6 articles), freshwater sensor networks and antenna design (5 articles), and biomedical/oncological applications (4 articles). This demonstrates his ability to transfer electrical engineering principles across diverse application domains while maintaining technical depth in measurement system design.
Professional affiliations include:
- IEEE Circuits and Systems Society
- IEEE Instrumentation and Measurement Society
- IEEE Signal Processing Society
Dr. Kruger's research has led to the development of real-world systems including the Iowa Flood Center's river stage sensor network, wireless power transfer solutions for environmental sensors, and the Trans-African Hydrometeorological Observatory instrumentation. His work emphasizes robust, field-deployable technology with practical impact on water resource management and agricultural monitoring.
His laboratory focuses on creating measurement systems for extreme environments, particularly underwater and agricultural field conditions, with recent work emphasizing multi-sensor data fusion approaches for comprehensive environmental characterization.
