Bengaluru, India

Raghunath E Nair

USPTO Granted Patents = 3 

Average Co-Inventor Count = 2.3

ph-index = 2

Forward Citations = 10(Granted Patents)


Company Filing History:


Years Active: 2016-2018

where 'Filed Patents' based on already Granted Patents

3 patents (USPTO):

Title: Raghunath E Nair: Innovator in Traffic Prediction Technologies

Introduction

Raghunath E Nair is a prominent inventor based in Bengaluru, India. He has made significant contributions to the field of traffic prediction technologies. With a total of 3 patents to his name, Nair's work focuses on improving traffic management systems.

Latest Patents

Nair's latest patents include innovative methods for enhancing traffic prediction accuracy. One of his notable patents is the "Aggregation of Traffic Impact Metrics." This invention associates various holidays with specific categories and identifies points of interest along transportation links. It determines a mean category impact for each holiday category, leading to an aggregated traffic impact metric. Another significant patent is "Auto-Calibration for Road Traffic Prediction." This method involves optimizing traffic predicting parameters to improve accuracy in traffic predictions across different subnets of a traffic network.

Career Highlights

Raghunath E Nair is currently employed at International Business Machines Corporation (IBM). His work at IBM has allowed him to develop and refine his innovative ideas in traffic management. Nair's expertise in this area has positioned him as a key figure in the advancement of traffic prediction technologies.

Collaborations

Nair collaborates with talented individuals such as Jojo Joseph and Alex J Joseph. Their combined efforts contribute to the development of cutting-edge solutions in traffic prediction.

Conclusion

Raghunath E Nair's contributions to traffic prediction technologies demonstrate his innovative spirit and commitment to improving urban mobility. His patents reflect a deep understanding of traffic dynamics and a desire to enhance the efficiency of transportation systems.

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