This inventor holds 1 USPTO granted patent. Top assignee: Princeton University. 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: Emir Ali Karahan: Innovator in Electromagnetic Structures
Introduction
Emir Ali Karahan is a notable inventor based in Princeton, NJ (US). He has made significant contributions to the field of electromagnetic structures through his innovative work. His research focuses on utilizing deep learning techniques to enhance the design and synthesis of these structures.
Latest Patents
Karahan holds a patent for a groundbreaking invention titled "Deep learning-enabled synthesis of electromagnetic structures." This patent encompasses various systems, methods, mechanisms, and apparatuses that provide a machine learning-based inverse design method for electromagnetic structures. The invention specifies a design goal that includes a target electromagnetic response. It represents the physical structure of an electromagnetic structure as an array of pixels, where each pixel indicates the presence or absence of conductive material. The design further includes input and output ports, and it employs a neural network-based electromagnetic emulator to predict scattering parameters over relevant frequencies. The optimization process utilizes evolutionary algorithms to achieve an electromagnetic structure that meets the specified design goals.
Career Highlights
Emir Ali Karahan is affiliated with Princeton University, where he conducts his research and development activities. His work has garnered attention for its innovative approach to solving complex problems in electromagnetic design.
Collaborations
Karahan collaborates with Zheng Liu, contributing to advancements in their shared field of study.
Conclusion
Emir Ali Karahan's contributions to the field of electromagnetic structures through his patent and research at Princeton University highlight his role as an influential inventor. His innovative use of deep learning techniques paves the way for future advancements in this area.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
