Ibrahim Muhammad is a Web Developer with a degree in Informatics from Telkom University, specializing in Deep Learning and Computer Vision. Ibrahim’s expertise includes innovative fire detection methods through his thesis work titled “Fire Detection using Combined Approach of HSV-based Harris Corner Region Extraction and Vision Transformer Classification.” His research, presented at ICODSA 2023, leverages Vision Transformers to analyze visual patterns for fire detection, showcasing his commitment to applying AI to real-world challenges.

Before joining RDI, Ibrahim interned at Daun Biru Engineering, where he applied AI to Vibration Fault Analysis, focusing on identifying patterns in vibration data within the frequency domain. Ibrahim is excited to leverage his technical and research skills in his current role at RDI, contributing to impactful web development projects that support the organization’s outreach and mission.