Miami, FL, United States of America

Enes Erdin

This inventor holds 1 USPTO granted patent. Top assignee: Florida International University. Active years: 2021.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Enes Erdin. Retrieved from https://idiyas.com/inventor/enes-erdin

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: Enes Erdin: Innovator in Computing Security

Introduction

Enes Erdin is a notable inventor based in Miami, FL, who has made significant contributions to the field of computing security. His innovative work focuses on developing systems and methods to inhibit threats to computing environments, particularly through the use of machine learning.

Latest Patents

Erdin holds a patent for "Systems and methods for inhibiting threats to a computing environment." This patent describes novel hardware-based frameworks and methods for detecting and preventing insider threats. The technology analyzes unknown USB-powered devices, such as keyboards or mice, introduced to a computing environment. By utilizing machine learning, the behavior of these unknown devices is determined before they can potentially cause harm.

Career Highlights

Enes Erdin is affiliated with Florida International University, where he continues to advance his research and development in computing security. His work is crucial in addressing the growing concerns of insider threats in various computing environments.

Collaborations

Erdin collaborates with talented individuals such as Kyle Denney and Leonardo Babun, contributing to a dynamic research environment focused on innovative solutions in technology.

Conclusion

Enes Erdin's contributions to computing security through his patented innovations highlight the importance of proactive measures in safeguarding technology. His work exemplifies the intersection of machine learning and hardware security, paving the way for future advancements in the field.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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