This inventor holds 1 USPTO granted patent. Top assignee: The Mathworks, Inc.. Active years: 2016.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2016
Title: Wael Hemdan: Innovator in Data Acquisition Systems
Introduction
Wael Hemdan is a notable inventor based in Stoneham, MA (US). He has made significant contributions to the field of data acquisition systems, particularly through his innovative patent that addresses synchronization challenges in data acquisition modules.
Latest Patents
Wael Hemdan holds a patent for an "Automatic data acquisition subsystem synchronization and sample rate arbitration." This invention provides techniques for synchronizing data acquisition (DAQ) modules within a data acquisition system. The technology is particularly beneficial in scenarios where multiple DAQ modules are utilized, allowing for the seamless analysis of signals captured by various sensors. By synchronizing the DAQ modules, the invention enables a signal processing platform, such as a computer, to analyze different sensor signals without the need for separate compensation for time differences. The synchronization techniques can include both automatic and semi-automatic mechanisms for temporally aligning the sensors and arbitrating the sampling rate between the data acquisition systems.
Career Highlights
Wael Hemdan is currently employed at The MathWorks, Inc., where he continues to develop innovative solutions in the field of data acquisition. His work has been instrumental in advancing the capabilities of data analysis and signal processing.
Collaborations
Wael has collaborated with notable colleagues, including Manisha Singh and Robert Purser, contributing to a dynamic work environment that fosters innovation and creativity.
Conclusion
Wael Hemdan's contributions to data acquisition systems through his patent demonstrate his commitment to enhancing technology in this field. His work not only addresses existing challenges but also paves the way for future advancements in data analysis.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
