معرفی
Jakob Juul Larsen is an Associate Professor in the Department of Electrical and Computer Engineering at Aarhus University, specializing in Signal Processing and Machine Learning for geophysical applications. His research focuses on developing advanced instrumentation and data processing techniques for groundwater resource characterization.
His core research domains include:
- Signal Processing for geophysical instrumentation
- Machine Learning applications in geophysics
- Hydrogeophysics and groundwater mapping
- Surface Nuclear Magnetic Resonance (SNMR) methods
- Transient Electromagnetic (TEM) systems
- Deep learning for electromagnetic data interpretation
Dr. Larsen leads multiple significant research initiatives:
- SuperTEM (2021-2024): Monitoring groundwater resources for sustainable exploitation
- Surface NMR with long excitation pulses (2021-2022)
- Flood and Drought – Tracking water in shallow subsurface (2019-2023)
- GIRem – Guided Injection Remediation (2018-2022)
- MapField – Field-scale nitrogen management (2018-2021)
- Abzu – Advanced surface NMR instrumentation (2016-2019)
- Faster SNMR measurements with new receiver technology (2016-2017)
- Controlling Sound Zones signal processing (2015-2018)
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