Location History:
- Fremont, CA (US) (2005 - 2006)
- Castro Valley, CA (US) (2006 - 2020)
- Milpitas, CA (US) (2020 - 2023)
Company Filing History:
26 out of 1,787 
11 out of 188 
1 out of 532 
Years Active: 2005-2023
Title: Innovations and Contributions of Lena Nicolaides in 3D Structure Inspection
Introduction
Lena Nicolaides, based in Castro Valley, CA, is a distinguished inventor known for her groundbreaking work in the field of 3D structure inspection and deep learning technologies. With an impressive portfolio of 38 patents, Lena has made significant contributions to the innovation landscape, particularly in the realm of artificial intelligence and imaging systems.
Latest Patents
Lena's latest patents showcase her expertise in advanced inspection methods. One notable patent focuses on the use of deep learning for 3D structure inspection or metrology. This invention provides methods and systems to determine critical information about a specimen, relating specifically to bump height inspection. The deep learning model predicts the height of 3D structures by analyzing images generated by imaging subsystems. This technology enables the determination of defectiveness in 3D structures based on their predicted heights, as well as the calculation of average height metrics.
Another significant patent involves training neural networks for defect detection in low-resolution images. This system integrates both high and low-resolution imaging subsystems along with neural networks trained to identify defects. By generating synthetic defect images, the system enhances the training of low-resolution neural networks, allowing for effective defect detection on various specimens.
Career Highlights
Throughout her career, Lena has been affiliated with notable companies, including KLA-Tencor Corporation and Therma-Wave, Inc., where she has honed her skills in developing advanced inspection technologies. Her contributions to these organizations have solidified her reputation as an innovator in the industry.
Collaborations
Lena has worked alongside talented individuals such as Alex Salnik and Jon Opsal, collaborating to push the boundaries of technology in imaging and defect detection. These partnerships have been critical in advancing the development of effective inspection tools and methodologies.
Conclusion
Lena Nicolaides stands out as a significant figure in the realm of innovations focused on 3D structure inspection and deep learning. Her patents illustrate her commitment to advancing technology and ensuring the efficacy of inspections in various applications. As she continues to innovate, Lena's work will undoubtedly have lasting impacts on the industry.