Charlottesville, VA, United States of America

Asif Salekin

USPTO Granted Patents = 1 

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Asif Salekin: Innovator in Audio Event Detection Technology

Introduction

Asif Salekin is a notable inventor based in Charlottesville, VA, who has made significant contributions to the field of audio technology. With one patent to his name, he is recognized for his innovative approach to audio event detection in surveillance systems. His work exemplifies how advanced technological solutions can enhance security and monitoring applications.

Latest Patents

Asif Salekin holds a patent titled "System and method for audio event detection in surveillance systems." This patent describes a sophisticated method and system for detecting and localizing target audio events within an audio clip. Utilizing a hierarchical approach and a dilated convolutional neural network, Salekin's innovation can identify the presence of target audio events throughout an audio clip based on high-level audio features. If a target audio event is detected, his method further employs a robust audio vector representation that encodes the inherent state of the audio, along with a learned relationship between the audio's state and the specific event detected. Additionally, a bi-directional long short-term memory classifier is integrated to model long-term dependencies and define the boundaries of the target audio event within the audio clip.

Career Highlights

Asif Salekin is currently associated with Robert Bosch GmbH, a global leader in technology and services. His position within the company allows him to work on cutting-edge projects that contribute to advancements in surveillance and audio processing technology. His innovative work continues to impact the field positively.

Collaborations

In his endeavors, Asif has collaborated with esteemed colleagues, including Zhe Feng and Shabnam Ghaffarzadegan. These collaborative efforts not only highlight his ability to work within a team but also showcase the synergy needed to push the boundaries of innovation in audio technology.

Conclusion

Asif Salekin's work in audio event detection represents a significant advancement in the application of machine learning and neural networks in surveillance systems. His patent demonstrates a thoughtful blend of technology and practicality, enhancing the capabilities of audio detection and localization. As he continues his journey at Robert Bosch GmbH, his contributions will undoubtedly pave the way for further innovations in the field.

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