Furkan Çolhak

Developed PhiShark, a commercial end-to-end phishing detection system including a website, browser extension, and machine learning models. The tool provides real-time detection of phishing websites through URL analysis and predictive algorithms. Designed for high accuracy and user-friendly alerts to enhance browsing security. Link https://drive.google.com/file/d/1NcvaU3myLLW-FbRsZHQfZWoqkD_NoaPt/view?usp=sharing

•Led and contributed to research projects on phishing detection, DNS abuse, intrusion detection, and OSINT based threat intelligence. •Applied NLP, computer vision, and transformers to cybersecurity applications, including phishing and violence detection in surveillance system. •Conducted in-depth literature reviews, tracked emerging trends, and translated research findings into practical systems and publications.

•Assisted in courses: MIS 220 - Data, Intelligence and Real Life, and MAN 201 - Statistics

•Gained foundational knowledge of SAP systems and ABAP programming •Completed assigned tasks using ABAP, contributing to team projects •Practiced code documentation and progress reporting in a professional IT environment