This inventor holds 1 USPTO granted patent. Top assignee: Eugenie Ai Inc.. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Prashant Kartikeya: Innovator in Predictive Maintenance Technology
Introduction
Prashant Kartikeya is a notable inventor based in Hazaribagh, India. He has made significant contributions to the field of predictive maintenance technology, particularly in the context of machine components. His innovative approach leverages advanced deep learning techniques to enhance the reliability and efficiency of industrial systems.
Latest Patents
Prashant holds a patent titled "System and method for predicting remaining useful life of a machine component." This invention focuses on a system and method for deep learning unsupervised remaining useful life (RUL) prediction in Internet of Things (IoT) sensor networks or manufacturing execution systems. The technology utilizes multilevel discrete wavelet for raw data transformation and a bidirectional long short-term memory (BiLSTM) based autoencoder neural network for RUL prediction. This patent showcases his expertise in integrating machine learning with industrial applications.
Career Highlights
Prashant is currently associated with Eugenie AI Inc., where he applies his knowledge and skills to develop cutting-edge solutions in predictive analytics. His work is instrumental in advancing the capabilities of machine learning in real-world applications, particularly in the manufacturing sector.
Collaborations
Prashant collaborates with talented professionals such as Ramesh Kumar and Soudip Roy Chowdhury. Together, they contribute to innovative projects that push the boundaries of technology and improve operational efficiencies.
Conclusion
Prashant Kartikeya is a pioneering inventor whose work in predictive maintenance technology is shaping the future of industrial systems. His contributions are vital for enhancing the performance and longevity of machine components in various applications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile