Tampa, FL, United States of America

Tapas K Das


Average Co-Inventor Count = 3.6

ph-index = 2

Forward Citations = 24(Granted Patents)


Company Filing History:


Years Active: 2008-2010

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3 patents (USPTO):Explore Patents

Title: Innovations by Tapas K Das

Introduction

Tapas K Das is a notable inventor based in Tampa, FL (US). He has made significant contributions to the field of chemical mechanical planarization and reinforcement learning. With a total of 3 patents, his work showcases innovative approaches to complex engineering challenges.

Latest Patents

One of his latest patents is titled "System for multiresolution analysis assisted reinforcement learning approach to run-by-run control." This invention introduces a new multiresolution analysis (wavelet) assisted reinforcement learning (RL) based control strategy. It effectively addresses multiscale disturbances in processes and the absence of process models. The WRL-RbR controller, as it is termed, has been tested on a multiple-input-multiple-output (MIMO) Chemical Mechanical Planarization (CMP) process. Results indicate that this RL controller outperforms traditional EWMA based controllers, particularly in low autocorrelation scenarios. Furthermore, the controller demonstrates strong performance in highly autocorrelated processes where EWMA controllers typically fail.

Another significant patent is the "System and method for online end point detection for use in chemical mechanical planarization." This invention presents a robust and cost-effective online methodology for end point detection in CMP processes. It overcomes several limitations of existing detection approaches. The system identifies significant events in the CMP process by utilizing wavelet-based multiresolution analysis on coefficient of friction data. A sequential probability ratio test is then applied to the decomposed data to pinpoint significant events.

Career Highlights

Tapas K Das is affiliated with the University of South Florida, where he continues to advance research in his field. His innovative work has garnered attention and respect within the engineering community.

Collaborations

He collaborates with esteemed colleagues such as Rajesh Ganesan and Arun K Sikder, contributing to a dynamic research environment.

Conclusion

Tapas K Das exemplifies the spirit of innovation through his patents and research contributions. His work in chemical mechanical planarization and reinforcement learning continues to influence the field significantly.

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