Ankan Saha

Title: Ankan Saha: Innovator in Machine Learning and Information Networks

Introduction

Ankan Saha is a prominent inventor based in San Francisco, CA. He has made significant contributions to the fields of machine learning and information networks. With a total of 12 patents, Saha continues to push the boundaries of technology and innovation.

Latest Patents

One of his latest patents is titled "Segment modeling for machine learning using tensor train decompositions." In this invention, tensor train decompositions are utilized to create large, personalized layers that are efficient for segment modeling. Instead of learning on an input matrix of training data containing all segments, the matrix is mapped to an N-dimensional tensor. Each dimension corresponds to one of the properties used to compose the segment, allowing for efficient training and scoring through tensor train decomposition.

Another notable patent is "Deep representation machine learned model for heterogeneous information networks." This invention employs a deep learning model to learn embedding representations of a heterogeneous information network. The embedding captures entity-specific properties and network environment properties. Position-aware embeddings and meta-path embeddings specific to the network are used as input features for the deep learning model. Additionally, modified embedding propagation methods are designed to better capture network meta-path properties.

Career Highlights

Ankan Saha is currently employed at Microsoft Technology Licensing, LLC. His work focuses on advancing machine learning techniques and enhancing the efficiency of information networks. His innovative approach has garnered attention in the tech community.

Collaborations

Saha collaborates with talented individuals such as Ajith Muralidharan and Shaunak Chatterjee. Their combined expertise contributes to the development of cutting-edge technologies in their respective fields.

Conclusion

Ankan Saha is a visionary inventor whose work in machine learning and information networks is shaping the future of technology. His patents reflect a commitment to innovation and efficiency, making him a key figure in the industry.