Company Filing History:
Years Active: 2024-2025
Title: Rony Kalfarisi: Innovator in Semantic Deep Learning and Smart Water Grid Management
Introduction
Rony Kalfarisi is a notable inventor based in Singapore, recognized for his contributions to the fields of semantic deep learning and smart water grid management. With a total of 2 patents, he has made significant strides in developing innovative solutions that address real-world challenges.
Latest Patents
Rony's latest patents include groundbreaking work in two key areas. The first patent focuses on "Semantic deep learning and rule optimization for surface corrosion detection and evaluation." This invention provides techniques for training a semantic deep learning model, such as a segmentation-enabled CNN model, to detect corrosion and enable its quantitative evaluation. The application includes a training dataset generation tool that semi-automatically generates a dataset with labeled corrosion segments, allowing for pixel-level detection and segmentation of corrosion in images. The second patent is centered on "Systems, methods, and media for near real-time anomaly event detection and classification with trend change detection for smart water grid operation management." This invention outlines techniques for detecting trend changes in sensor data and classifying anomaly events in near-real time, enhancing the management of smart water grids.
Career Highlights
Rony Kalfarisi is currently employed at Bentley Systems, Inc., where he continues to innovate and develop solutions that leverage advanced technologies. His work has positioned him as a key player in the intersection of technology and environmental management.
Collaborations
Rony collaborates with talented individuals such as Zheng Yi Wu and Meng Xue, contributing to a dynamic team that drives innovation in their respective fields.
Conclusion
Rony Kalfarisi's contributions to semantic deep learning and smart water grid management exemplify the impact of innovative thinking in addressing contemporary challenges. His work not only advances technology but also promotes sustainability and efficiency in critical infrastructure.