This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Florida International University. 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: Khandaker Mamun Ahmed: Innovator in Anomaly Detection
Introduction
Khandaker Mamun Ahmed is a notable inventor based in Miami, FL (US). He has made significant contributions to the field of video analysis, particularly in the detection of anomalous events. His innovative approach combines advanced techniques to enhance the accuracy of anomaly detection in video footage.
Latest Patents
Khandaker Mamun Ahmed holds 1 patent for his work titled "Anomalous activity recognition in videos." This patent outlines systems and methods for detecting one or more anomalous events in video. The invention utilizes histogram-based noise cleansing, higher-order deep convolutional neural network-based feature extraction, instance segmentation, instance summation, difference calculation, and normalization. Additionally, human-in-loop systems facilitate human decisions for anomaly detection, allowing for more accurate assessments of anomalous events based on instance difference values.
Career Highlights
Khandaker Mamun Ahmed is affiliated with Florida International University, where he continues to advance his research in video analysis and anomaly detection. His work has garnered attention for its practical applications in various fields, including security and surveillance.
Collaborations
Khandaker has collaborated with notable colleagues such as Mohammadhadi Amini and Naphtali David Rishe. Their combined expertise contributes to the innovative research environment at Florida International University.
Conclusion
Khandaker Mamun Ahmed is a pioneering inventor whose work in anomaly detection is shaping the future of video analysis. His contributions are vital for enhancing security measures and improving decision-making processes in various applications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
