Fayetteville, NY, United States of America

Senem Velipasalar

This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Syracuse University. Active years: 2019-2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Senem Velipasalar. Retrieved from https://idiyas.com/inventor/senem-velipasalar-w9fixatg

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

Calculating rank
USPTO Granted Patents = 2 

% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2019-2023

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2 patents (USPTO):Explore Patents

Title: Innovations by Senem Velipasalar

Introduction

Senem Velipasalar is an accomplished inventor based in Fayetteville, NY (US). She has made significant contributions to the field of sensor technology, focusing on privacy-preserving solutions for occupancy detection. With a total of 2 patents, her work is at the forefront of innovation in smart building systems.

Latest Patents

One of her latest patents is a "Low power and privacy preserving sensor platform for occupancy detection." This invention is a low-cost, low-power, stand-alone sensor platform that integrates a visible-range camera sensor, a thermopile array, a microphone, a motion sensor, and a microprocessor. It is designed to perform occupancy detection and counting while ensuring the privacy of occupants. The platform is programmed to extract shape and texture from images in the spatial domain, motion from video in the time domain, and audio features in the frequency domain. It employs embedded binarized neural networks for efficient object detection and advanced fusion algorithms for multiple sensor modalities. This technology can be deployed in various applications, including residential use for energy savings, security and surveillance, customer behavior analysis, and identifying high-performing retail stores.

Another notable patent is for an "Automatic detection by a wearable camera." This system includes a camera device that performs image processing to detect events involving human subjects. In one embodiment, the system is equipped for fall detection, showcasing its potential in enhancing safety and monitoring.

Career Highlights

Senem Velipasalar is affiliated with Syracuse University, where she continues to advance her research and innovations in sensor technology. Her work not only contributes to academic knowledge but also has practical applications that can benefit various industries.

Collaborations

She collaborates with talented individuals such as Mauricio Casares and Akhan Almagambetov, further enriching her research and development efforts.

Conclusion

Senem Velipasalar's innovative work in sensor technology exemplifies the intersection of privacy and functionality in modern applications. Her contributions are paving the way for smarter, more efficient systems that prioritize user privacy while enhancing operational capabilities.

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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