Pallabi Ghosh

Title: The Innovative Contributions of Pallabi Ghosh

Introduction

Pallabi Ghosh is a notable inventor based in College Park, MD (US). She has made significant contributions to the field of data analysis and machine learning. Her work focuses on identifying complex events through advanced techniques that leverage hierarchical representations of data.

Latest Patents

Pallabi Ghosh holds a patent titled "Identifying complex events from hierarchical representation of data set features." This patent describes techniques for identifying multimodal subevents within an event characterized by spatially-related and temporally-related features. The system utilizes a Spatio-Temporal Graph (STG) that includes nodes with feature descriptors, spatial edges, and temporal edges. A machine learning system processes the STG to identify these multimodal subevents, employing stacked Spatio-Temporal Graph Convolutional Networks (STGCNs) for enhanced analysis. She has 1 patent to her name.

Career Highlights

Pallabi Ghosh is currently associated with SRI International, where she applies her expertise in machine learning and data analysis. Her innovative approaches have contributed to advancements in understanding complex events through data representation.

Collaborations

Pallabi has collaborated with esteemed colleagues such as Yi Yao and Ajay Divakaran, enhancing the impact of her research through teamwork and shared expertise.

Conclusion

Pallabi Ghosh's work exemplifies the intersection of innovation and technology in data analysis. Her contributions continue to influence the field, showcasing the importance of advanced techniques in understanding complex events.