This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignee: Mitsubishi Electric Research Laboratories, 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: Sk Miraj Ahmed: Innovator in Cross-Modal Knowledge Transfer
Introduction
Sk Miraj Ahmed is a notable inventor based in Riverside, CA (US). He has made significant contributions to the field of knowledge transfer through his innovative patent. His work focuses on enhancing the adaptability of model networks, which is crucial in various technological applications.
Latest Patents
Sk Miraj Ahmed holds a patent titled "System and method for cross-modal knowledge transfer without task-relevant source data." This patent describes a cross-modality knowledge transfer system designed to adapt one or more source model networks to one or more target model networks. The system performs several steps, including providing paired datasets through source feature encoders, extracting features and moments, and training target model networks by matching extracted features with source features. This innovative approach aims to improve the efficiency and effectiveness of knowledge transfer in machine learning applications.
Career Highlights
Throughout his career, Sk Miraj Ahmed has worked with prestigious organizations, including Mitsubishi Electric Research Laboratories, Inc. and Mitsubishi Electric Corporation. His experience in these companies has allowed him to develop and refine his expertise in the field of technology and innovation.
Collaborations
Sk Miraj Ahmed has collaborated with Kuan Chuan Peng, contributing to advancements in their shared field of expertise. Their partnership has fostered innovative ideas and solutions in knowledge transfer systems.
Conclusion
Sk Miraj Ahmed is a distinguished inventor whose work in cross-modal knowledge transfer has the potential to revolutionize the way machine learning models adapt and learn. His contributions to the field are noteworthy and reflect his commitment to innovation.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
