Koushik Kar

Title: Koushik Kar: Innovator in Graph Neural Networks and Energy Management Systems

Introduction

Koushik Kar is a notable inventor based in Waterford, NY (US). He has made significant contributions to the fields of graph neural networks and energy management systems. With a total of 2 patents, his work showcases innovative approaches to complex problems.

Latest Patents

Koushik Kar's latest patents include a Multi-relational Graph Convolutional Network (GCN) in Risk Prediction. This invention involves building and training a graph neural network to predict the risk associated with an entity. The multi-relational graph network consists of two graph networks, each representing different sets of nodes and edges that illustrate relationships between entities. The GCN is structured to incorporate this multi-relational network, enhancing its predictive capabilities.

Another significant patent is the Collaborative Energy Management System. This system is designed for a multi-zone space and includes a variety of environment sensors. It features an adaptive learning system that collects data from these sensors to generate a correlation model. This model correlates historical environment data with HVAC settings, allowing for optimized energy management based on occupant preferences and energy usage goals.

Career Highlights

Koushik Kar has worked with prestigious organizations such as Rensselaer Polytechnic Institute and International Business Machines Corporation (IBM). His experience in these institutions has contributed to his expertise in developing innovative technologies.

Collaborations

Throughout his career, Koushik has collaborated with notable colleagues, including Santosh K Gupta and Sandipan Mishra. These collaborations have further enriched his work and expanded the impact of his inventions.

Conclusion

Koushik Kar is a distinguished inventor whose work in graph neural networks and energy management systems demonstrates his commitment to innovation. His patents reflect a deep understanding of complex systems and a drive to improve technology for practical applications.