This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: King Fahd University of Petroleum and Minerals. Active years: 2024-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024-2026
Title: Korhan Ayranci: Innovator in Geological Image Classification
Introduction
Korhan Ayranci is a notable inventor based in Dhahran, Saudi Arabia. He has made significant contributions to the field of geological image classification through his innovative work. His expertise lies in utilizing deep learning techniques to enhance the classification of geological images.
Latest Patents
Korhan Ayranci holds a patent for an invention titled "Automated bioturbation image classification using deep learning." This patent describes a system, method, and non-transitory computer-readable medium for ichnological classification of geological images. The method involves receiving a geological image by a computing device, formatting the image, applying it to a deep convolutional neural network (DCNN) trained to classify bioturbation indices, and matching the image to a bioturbation index class. He has 1 patent to his name.
Career Highlights
Korhan Ayranci is affiliated with King Fahd University of Petroleum and Minerals, where he contributes to research and development in his field. His work focuses on integrating advanced technologies into geological studies, which has the potential to revolutionize how geological data is analyzed and interpreted.
Collaborations
Korhan collaborates with various professionals in his field, including his coworker, Umair Bin Waheed. Their joint efforts aim to push the boundaries of geological research and innovation.
Conclusion
Korhan Ayranci's contributions to geological image classification through deep learning exemplify the intersection of technology and earth sciences. His innovative patent and ongoing work at King Fahd University of Petroleum and Minerals highlight his commitment to advancing this important field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
