San Francisco, CA, United States of America

Arshad Tayyeb


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 30(Granted Patents)


Company Filing History:


Years Active: 2016-2022

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2 patents (USPTO):Explore Patents

Title: Arshad Tayyeb: Innovator in Location-Based Technologies

Introduction

Arshad Tayyeb is a notable inventor based in San Francisco, CA, who has made significant contributions to the field of location-based technologies. With a total of 2 patents, his work focuses on improving the accuracy and efficiency of location estimation through innovative data processing methods.

Latest Patents

Tayyeb's latest patents include groundbreaking methods for utilizing historical location data to enhance the accuracy of event location predictions. One of his patents describes a data processing method that involves obtaining event records from a calendar database and historical location data from a user location history table. This method predicts the location of an event and calculates a recommended time to leave based on various factors, including current location and mode of transportation. Another patent focuses on estimating times to leave and travel by determining routes and journey times, ensuring that users arrive at events on time.

Career Highlights

Throughout his career, Arshad Tayyeb has worked with prominent companies such as Yahoo! Inc. and Verizon Patent and Licensing Inc. His experience in these organizations has allowed him to develop and refine his innovative ideas in the realm of location-based services.

Collaborations

Tayyeb has collaborated with talented individuals in the industry, including Scott San Filippo and Spencer Murray. These collaborations have contributed to the advancement of his projects and the successful implementation of his patented technologies.

Conclusion

Arshad Tayyeb's contributions to location-based technologies through his patents and career experiences highlight his role as an influential inventor in this field. His innovative methods continue to shape how we understand and utilize location data in our daily lives.

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