Sayan Kahali

Title: Innovations by Sayan Kahali in Image Compression Technology

Introduction

Sayan Kahali is an innovative inventor based in Kolkata, India. He has made significant contributions to the field of image compression technology. His work focuses on developing efficient methods for reducing image volume while maintaining quality.

Latest Patents

Sayan Kahali holds a patent for a "Method and system for a low-power lossless image compression using a spiking neural network." This patent relates to reducing earth-bound image volume through an efficient lossless compression technique. The system utilizes a Spiking Neural Network (SNN) model to achieve this goal. The framework includes a SNN-based Density Estimator (DE) followed by a classical Arithmetic Encoder (AE). The SNN model effectively obtains residual errors, which are then compressed by the AE and transmitted to the receiving station. This innovative approach not only reduces power consumption during transmission but also saves in-situ computation power compared to traditional Deep Neural Network (DNN) models. The SNN model has a lower memory footprint and latency, making it ideal for on-board computation in small satellites.

Career Highlights

Sayan Kahali is currently employed at Tata Consultancy Services Limited, where he continues to work on cutting-edge technologies. His expertise in image compression and neural networks has positioned him as a valuable asset in his field.

Collaborations

Sayan has collaborated with notable colleagues, including Chetan Sudhakar Kadway and Sounak Dey. Their combined efforts contribute to advancing technology in their respective areas of expertise.

Conclusion

Sayan Kahali's innovative work in image compression technology showcases his commitment to enhancing efficiency in data transmission. His contributions are paving the way for advancements in the field, particularly in applications involving small satellites.