Company Filing History:
Years Active: 2023
Title: Sujit Rokka Chhetri: Innovator in Dynamic Network Representation
Introduction
Sujit Rokka Chhetri is a prominent inventor based in Irvine, CA. He has made significant contributions to the field of dynamic network analysis through his innovative patent. His work focuses on capturing network dynamics using advanced graph representation learning techniques.
Latest Patents
Sujit holds a patent titled "Capturing network dynamics using dynamic graph representation learning." This patent encompasses methods and systems for dynamic network link prediction. It involves generating a dynamic graph embedding model that captures temporal patterns of dynamic graphs. Each graph represents an evolved version of the dynamic network over time. The model is configured as a neural network with nonlinear layers that learn structural patterns within the dynamic network. The learning process is optimized by a loss function that prioritizes the reconstruction of observed edges over unobserved links. Ultimately, the model predicts future network links based on the parameters tuned through this optimization.
Career Highlights
Sujit is currently employed at Siemens Aktiengesellschaft, where he applies his expertise in network dynamics and machine learning. His innovative approach has positioned him as a valuable asset in the field of dynamic network analysis.
Collaborations
Sujit has collaborated with notable colleagues, including Palash Goyal and Arquimedes Martinez Canedo. Their combined efforts contribute to advancing research in dynamic networks and related technologies.
Conclusion
Sujit Rokka Chhetri is a key figure in the realm of dynamic network representation, with a focus on innovative solutions that enhance our understanding of network dynamics. His contributions through patents and collaborations continue to shape the future of this field.