Plant Bioelectrical Potential Acquisition for Edge Sensing
ActiveResearch on plant bioelectrical-potential acquisition, signal analysis, and sensing architectures for environmental and edge-sensing applications.
Selected current and completed research activities, linked to publications where available.
Research on plant bioelectrical-potential acquisition, signal analysis, and sensing architectures for environmental and edge-sensing applications.
Research on machine-learning approaches for classifying plant bioelectric signals, including Transformer-based models for noisy biological time-series data.
Applied computer-vision research combining GAN-based data augmentation and transfer learning for malaria classification from microscopy images.
Applied machine-learning research combining generative augmentation and radial-basis-function networks for landslide susceptibility mapping.