This inventor holds 1 USPTO granted patent. Top assignee: Tata Consultancy Services Limited. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Innovations of Srinivas Raghu Raman Gadepally
Introduction
Srinivas Raghu Raman Gadepally is an accomplished inventor based in Hyderabad, Telangana, India. He has made significant contributions to the field of machine learning, particularly in the area of sensor data analysis. His innovative approach addresses critical challenges faced by existing machine learning systems.
Latest Patents
Srinivas holds a patent titled "Identifying sensor drifts and diverse varying operational conditions using variational autoencoders for continual training." This invention tackles the limitations of traditional machine learning systems, which often rely on historical data to detect faults in machines. His patent provides systems and methods for identifying and classifying sensor drifts and varying operational conditions from continually received sensor data. By utilizing continual training of variational autoencoders (VAE), his invention compensates for sensor drift and prevents catastrophic forgetting of past events.
Career Highlights
Srinivas is currently employed at Tata Consultancy Services Limited, where he applies his expertise in machine learning and data analysis. His work focuses on developing advanced solutions that enhance the reliability and efficiency of machine operations.
Collaborations
Srinivas has collaborated with notable colleagues, including Soma Bandyopadhyay and Sridhar Balakrishnan, to further advance their research and innovations in the field.
Conclusion
Srinivas Raghu Raman Gadepally's contributions to machine learning and sensor data analysis exemplify the impact of innovative thinking in technology. His patent reflects a significant advancement in addressing real-time operational challenges in machine systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
