Idil Sulo

Idil Sulo is a Research Scientist at Deltia, holding a Master's in Informatics (Computer Science) from the Technical University of Munich (TUM) and a Bachelor's in Computer Engineering from Middle East Technical University (METU). Her research focuses on computer vision, deep learning, and their applications in autonomous systems, safety detection, and energy efficiency. She has contributed to projects such as the ALET dataset for tool detection and developed an AI-based posture analysis system displayed at the German Technology Museum in Berlin.

Education:

• Master's in Informatics (Computer Science) - Technical University of Munich (TUM), 2023
• Bachelor's in Computer Engineering - Middle East Technical University (METU), Ankara

Research Interests:

• Autonomous vehicle control using vision-based systems
• Zero-shot learning and 3D object understanding
• Tool detection and human worker safety
• Energy-efficient smart buildings via LSTM networks

Awards:

• Outstanding Reviewer for CVPR 2025

Projects & Contributions:

• AI-based posture analysis demonstrator at the Innovation and Quality Center (IQZ)
• Collaboration with Naver Labs Europe on 3D vision systems