Hyderabad Telangana, India

Vishnu Tankasala Veparala


Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Innovations of Vishnu Tankasala Veparala

Introduction

Vishnu Tankasala Veparala is an accomplished inventor based in Hyderabad, Telangana, India. He has made significant contributions to the field of neural networks, particularly in handling variable-dimensional time series data. His innovative approach addresses the challenges posed by multi-sensor time series data, which is increasingly relevant in today's data-driven world.

Latest Patents

Vishnu holds a patent for "Neural networks for handling variable-dimensional time series data." This patent focuses on the limitations of existing neural network approaches that assume a fixed input dimension for multi-sensor time series modeling. His work introduces a neural network architecture that allows for zero-shot transfer learning, enabling robust inference for multivariate time series with previously unseen combinations of sensors. This advancement is crucial for applications where different devices may have varying sensor configurations.

Career Highlights

Vishnu is currently employed at Tata Consultancy Services Limited, where he applies his expertise in neural networks and data analysis. His work has been instrumental in developing solutions that enhance the understanding and processing of complex time series data. His innovative contributions have positioned him as a valuable asset in the field of data science and machine learning.

Collaborations

Vishnu has collaborated with notable colleagues such as Jyoti Narwariya and Pankaj Malhotra. These collaborations have fostered a creative environment that encourages the exchange of ideas and the development of cutting-edge technologies.

Conclusion

Vishnu Tankasala Veparala's work in neural networks and time series data modeling exemplifies the spirit of innovation. His contributions not only advance the field of data science but also pave the way for future developments in technology. His patent reflects a deep understanding of the complexities involved in multi-sensor data, showcasing his role as a leading inventor in this domain.

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