Murray Hill, NJ, United States of America

Jaijeet S Roychowdhury



Average Co-Inventor Count = 1.5

ph-index = 4

Forward Citations = 64(Granted Patents)


Location History:

  • Jersey City, NJ (US) (2003)
  • Murray Hill, NJ (US) (1998 - 2004)

Company Filing History:


Years Active: 1998-2004

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8 patents (USPTO):Explore Patents

Title: Jaijeet S Roychowdhury - A Pioneer in Time-Varying Systems and Oscillator Phase Noise Prediction

Introduction

Jaijeet S Roychowdhury, based in Murray Hill, NJ, is a prominent inventor recognized for his innovative contributions to the fields of electrical engineering and systems modeling. He holds an impressive portfolio of 8 patents, demonstrating his commitment to advancing technology and improving system modeling techniques.

Latest Patents

Roychowdhury's latest patents include groundbreaking work on an apparatus and method for reduced-order modeling of time-varying systems. This invention entails developing a linear, time-varying transfer function with scalable parameters to model such a system effectively. Also notable is his work on oscillator phase noise prediction, which uses differential algebraic equations to forecast the phase noise of oscillators accurately. These contributions illustrate his expertise in integrating complex mathematical concepts with practical applications.

Career Highlights

Throughout his career, Jaijeet has collaborated with renowned companies such as Lucent Technologies Inc. and Agere Systems Inc., where he applied his expertise in advanced modeling techniques. His work has not only led to multiple patents but has also solidified his reputation as a transformative force in his industry.

Collaborations

During his professional journey, Roychowdhury has teamed up with esteemed colleagues, including Alper Demir and Amit Mehrotra. Their joint efforts have resulted in significant advancements and innovations that continue to impact the engineering community.

Conclusion

Jaijeet S Roychowdhury's innovative spirit and dedication to research and development make him a key figure in the field of modeling and engineering. His patents reflect a deep understanding of complex systems and open avenues for future inventions that will undoubtedly influence industry practices.

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