Location History:
- Victoria, AU (2010)
- Box Hill North, AU (2011)
Company Filing History:
Years Active: 2010-2011
Title: The Innovative Contributions of Sarah Dods
Introduction
Sarah Dods is a prominent inventor based in Box Hill North, Australia. She has made significant contributions to the field of signal processing and machine learning, holding a total of 3 patents. Her work focuses on developing methods and apparatuses that enhance the monitoring and identification of signal characteristics.
Latest Patents
One of her latest patents is titled "Method and apparatus for automated identification of signal characteristics." This invention involves assessing a signal to identify specific characteristics through the application of machine learning to multi-dimensional histograms derived from multi-tap sampling of the signal. The method samples the signal from at least two tap points to retrieve distinct samples, which are then processed to predict signal characteristics.
Another notable patent is "Method and apparatus for sampled optical signal monitoring." This invention monitors optical signals by sampling them from multiple distinct tap points. It assesses the quality of the optical signal by evaluating the joint probability distribution of the sample sets over time. The use of machine learning algorithms in this context allows for effective diagnosis of various impairments in optical signals.
Career Highlights
Throughout her career, Sarah has worked with reputable organizations, including National ICT Australia Limited and NICTA IPR Pty Limited. Her experience in these companies has contributed to her expertise in signal processing and machine learning technologies.
Collaborations
Sarah has collaborated with notable professionals in her field, including Trevor Anderson and Adam Kowalczyk. These collaborations have further enriched her work and expanded her contributions to the industry.
Conclusion
Sarah Dods is a remarkable inventor whose innovative patents have advanced the fields of signal processing and machine learning. Her contributions continue to influence the industry and inspire future innovations.