Puneet Jain

Title: Puneet Jain: Innovator in Viral Event Prediction and Image Clustering

Introduction

Puneet Jain is a notable inventor based in Yorktown Heights, NY (US). He has made significant contributions to the fields of viral event prediction and image clustering. With a total of 3 patents, his work showcases innovative approaches to leveraging social data and advanced imaging techniques.

Latest Patents

One of Puneet Jain's latest patents is titled "Method for real-time viral event prediction from social data." This invention involves filtering a set of social messages received in real time to yield a sub-set likely to relate to a substantive content subject, such as a video available online. For each message in the sub-set, a respective social message sender and a corresponding social influence value for each sender are determined. A prediction of the extent of the spread of the substantive content subject is made based on these social influence values.

Another significant patent is "Clustering crowdsourced videos by line-of-sight." This method includes acquiring initial image data of a scene of interest and constructing a 3D model based on that data. Additional image data is then fitted to the 3D model, and a line-of-sight of the additional image data is estimated. The additional image data is clustered according to this estimated line-of-sight.

Career Highlights

Puneet Jain is currently employed at International Business Machines Corporation (IBM), where he continues to innovate and contribute to cutting-edge technologies. His work at IBM has allowed him to explore various applications of his inventions in real-world scenarios.

Collaborations

Puneet has collaborated with notable colleagues, including Arup Acharya and Kirk Alan Beaty. These collaborations have further enriched his work and expanded the impact of his inventions.

Conclusion

Puneet Jain is a distinguished inventor whose work in viral event prediction and image clustering demonstrates his innovative spirit and technical expertise. His contributions to the field are paving the way for advancements in how we understand and utilize social data and imaging technologies.