This inventor holds 1 USPTO granted patent. Top assignee: China University of Mining and Technology. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: The Innovative Contributions of Sen Li
Introduction
Sen Li is a prominent inventor based in Xuzhou, China. He has made significant strides in the field of mining technology, particularly through his innovative approaches to microseismic data analysis. His work is crucial for enhancing safety and efficiency in mining operations.
Latest Patents
Sen Li holds a patent for a "Massive data-driven method for automatically locating mine microseismic source." This patent outlines a comprehensive method that includes constructing a microseismic wave calibration data set using a large-scale seismic data set, which contains both seismic and non-seismic signals. The process involves developing a pre-training calibration model based on a full convolution neural network through deep learning techniques. Furthermore, it utilizes microseismic data from mine sites for transfer learning to create an automatic calibration model tailored for mine microseismic signals. The method aims to accurately locate mine microseismic events by employing an optimization algorithm to minimize arrival time errors through iterative fine-tuning.
Career Highlights
Sen Li is affiliated with the China University of Mining and Technology, where he contributes to research and development in mining technologies. His expertise in data-driven methods has positioned him as a key figure in advancing the understanding of microseismic activities in mining environments.
Collaborations
Sen Li collaborates with notable colleagues, including Anye Cao and Changbin Wang. Their combined efforts enhance the research output and innovation in their respective fields.
Conclusion
Sen Li's contributions to the field of mining technology through his innovative patent demonstrate his commitment to improving safety and efficiency in the industry. His work continues to influence the way microseismic data is utilized in mining operations.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile