Mountain View, CA, United States of America

Tianqing Liao

This inventor holds 4 USPTO granted patents and 2 published patent applications. Top assignee: Applied Materials, Inc.. Active years: 2021-2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Tianqing Liao. Retrieved from https://idiyas.com/inventor/tianqing-liao

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 4 

% Patents Active = 100.0

Average Co-Inventor Count = 3.2

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2021-2024

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4 patents (USPTO):Explore Patents

Title: Innovations by Tianqing Liao

Introduction

Tianqing Liao is a prominent inventor based in Mountain View, CA, known for his contributions to the field of semiconductor processing. With a total of 4 patents, Liao has made significant strides in developing advanced technologies that enhance equipment monitoring and fault detection.

Latest Patents

One of Liao's latest patents focuses on "Long short-term memory anomaly detection for multi-sensor equipment monitoring." This innovation provides methods, systems, and non-transitory computer-readable mediums for utilizing long short-term memory (LSTM) anomaly detection in multi-sensor equipment monitoring. The method involves training an LSTM recurrent neural network (RNN) model specifically for semiconductor processing fault detection. The training process includes generating training data and using it to create a trained LSTM RNN model that can effectively identify faults during semiconductor manufacturing processes.

Another notable patent addresses "Correcting component failures in ion implant semiconductor manufacturing tool." This method determines when components of substrate processing equipment are within a pre-failure window, indicating potential issues. By analyzing sensor data, the method identifies stable health index values during normal operations and detects increases in health index values that signal impending failures. This proactive approach allows for timely corrective actions to be taken, ensuring the reliability of semiconductor manufacturing tools.

Career Highlights

Tianqing Liao is currently employed at Applied Materials, Inc., a leading company in the semiconductor industry. His work focuses on developing innovative solutions that improve the efficiency and reliability of semiconductor manufacturing processes. Liao's expertise in machine learning and data analysis has positioned him as a key contributor to the advancement of technology in this field.

Collaborations

Liao collaborates with talented professionals such as Sima Didari and Harikrishnan Rajagopal, who share his commitment to innovation and excellence in semiconductor technology.

Conclusion

Tianqing Liao's contributions to semiconductor processing through his innovative patents demonstrate his expertise and dedication to advancing technology. His work not only enhances equipment monitoring but also plays a crucial role in ensuring the reliability of semiconductor manufacturing processes.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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