Parisa Babaheidarian

Title: Parisa Babaheidarian: Innovator in Neural Network Computation and Channel Estimation

Introduction

Parisa Babaheidarian is a prominent inventor based in Acton, MA (US). She has made significant contributions to the fields of neural network computation and channel estimation. With a total of 2 patents, her work showcases innovative approaches to complex mathematical problems and communication systems.

Latest Patents

One of her latest patents is titled "Neural network computation for eigen value and eigen vector decomposition of matrices." This method utilizes an artificial deep neural network to perform eigen decomposition. The deep neural network processes an input covariance matrix through several convolutional and pooling layers, predicting dominant eigen information. This information can include absolute values and sign information of dominant eigen values and vectors, applicable to both real-valued and complex-valued covariance matrices.

Another notable patent is "Channel estimation for systems with PLL phase discontinuities." This invention addresses the challenges faced by half-duplex user equipment (UEs) that utilize a single phase locked loop (PLL) for both downlink and uplink transmissions. The techniques disclosed in this patent enhance channel estimation accuracy by estimating the PLL's random initial phase and correcting the phase of symbols. This improvement allows for better averaging across symbols during frequency re-tuning and transmission direction switches.

Career Highlights

Parisa is currently employed at Qualcomm Incorporated, where she continues to develop innovative solutions in her field. Her work has garnered attention for its practical applications in enhancing communication systems and computational methods.

Collaborations

Throughout her career, Parisa has collaborated with notable colleagues, including Vijayvaradharaj Tirucherai Muralidharan and Murali Paravath Menon. These collaborations have contributed to the advancement of her research and the successful development of her patents.

Conclusion

Parisa Babaheidarian stands out as a leading inventor in the realms of neural networks and channel estimation. Her innovative patents reflect her commitment to advancing technology and improving system performance. Her contributions are poised to have a lasting impact on the fields she engages with.