Mohammed Saeed Abuelmakarm Shafae

Title: Mohammed Saeed Abuelmakarm Shafae: Innovator in Sensor Signal Prediction

Introduction

Mohammed Saeed Abuelmakarm Shafae is a notable inventor based in Tucson, AZ (US). He has made significant contributions to the field of sensor technology, particularly in the area of signal prediction. His innovative work has led to the development of a unique method for predicting low-frequency sensor signals.

Latest Patents

Shafae holds a patent for a method, computer program product, and system for predicting low-frequency sensor signal predictions using a hierarchical prediction model. The patent, titled "Sensor signal prediction at unreported time periods," involves receiving a historical dataset of high-frequency and low-frequency sensor signal data. The method generates a Gaussian process regression model using this dataset and sensor parameters, ultimately outputting high-frequency sensor signal predictions. Additionally, it creates a hierarchical Gaussian process model to predict low-frequency sensor signal predictions.

Career Highlights

Shafae is currently employed at International Business Machines Corporation (IBM), where he continues to advance his research and development in sensor technologies. His work at IBM has allowed him to collaborate with other talented professionals in the field.

Collaborations

Some of his notable coworkers include Bing Zhang and Shubhi Asthana, who have contributed to various projects alongside Shafae.

Conclusion

Mohammed Saeed Abuelmakarm Shafae is a distinguished inventor whose work in sensor signal prediction showcases his innovative spirit and technical expertise. His contributions to the field are paving the way for advancements in sensor technology.