This version is shortened to about 1,150 characters, keeping the important parts and sounding a bit more polished for conference programs: Korbinian Kunst is a Ph.D. student and research associate at the Laboratory of Adaptive Lighting Systems and Visual Processing at the Technical University of Darmstadt, Germany. He received his M.Sc. degree in Electrical Engineering and Information Technology from the Technical University of Darmstadt. His research focuses on visual perception as the foundation for intelligent and adaptive automotive lighting systems, with particular emphasis on headlamp optimization, traffic scene understanding, and human-centered lighting design. He combines methods from computer vision, machine learning, perception psychology, and lighting engineering to investigate how traffic environments can be analyzed and optimized to improve visibility and safety. His work includes realistic simulation environments using Unreal Engine, scientific studies on subjective visibility perception, and AI-based approaches for adaptive lighting control. Beyond his research activities, he is actively involved in the scientific community and contributes to the organization of ISAL 2025. He has presented his work at international conferences and forums including IFAL 2025 and ALE 2026.