Chatham, NJ, United States of America

Bo Dong

This inventor holds 1 USPTO granted patent. Top assignee: Sri International. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Bo Dong. Retrieved from https://idiyas.com/inventor/bo-dong-8yo5s81c

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Bo Dong: Innovator in Spatial-Temporal Anomaly Detection

Introduction

Bo Dong is a notable inventor based in Chatham, NJ (US), recognized for his contributions to the field of artificial intelligence and sensor technology. He holds a patent that showcases his innovative approach to detecting anomalies in multimodal data using advanced machine learning techniques.

Latest Patents

Bo Dong's most recent patent is titled "Spatial-temporal anomaly and event detection using night vision sensors." This patent describes techniques for joint spatiotemporal AI models that can encompass multiple space and time resolutions through self-supervised learning. The method involves generating modality feature vectors from multimodal data, processing these vectors with a machine learning model, and analyzing the resulting event data to identify anomalies.

Career Highlights

Bo Dong is currently employed at SRI International, where he applies his expertise in artificial intelligence and sensor technologies. His work focuses on developing innovative solutions that enhance the capabilities of night vision sensors and improve anomaly detection systems.

Collaborations

Throughout his career, Bo has collaborated with esteemed colleagues, including Subhodev Das and Ajay Divakaran. These collaborations have contributed to the advancement of research and development in the field of AI and sensor technology.

Conclusion

Bo Dong is a pioneering inventor whose work in spatial-temporal anomaly detection is making significant strides in the field of artificial intelligence. His innovative patent reflects his commitment to advancing technology and improving data analysis methods.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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