Sabrullah Deniz

Papers

Total Citations

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About

Sabrullah Deniz is a rising researcher in the field of autonomous aerial systems, with a primary focus on Urban Air Mobility (UAM) and the safe, efficient integration of electric vertical takeoff and landing (eVTOL) vehicles into constrained urban environments. His most cited work, "Autonomous Landing of eVTOL Vehicles via Deep Q-Networks" (2023), represents a significant contribution to the development of intelligent, reinforcement learning-based control systems for autonomous flight. By applying Deep Q-Networks to the complex challenge of precision landing, Deniz addresses a critical bottleneck in UAM operations, offering a data-driven path toward safer and more reliable autonomous navigation. This work has already garnered early citations, signaling its growing influence in the aerospace and robotics communities. Deniz’s research sits at the intersection of artificial intelligence and aerospace engineering, aiming to make the vision of on-demand, low-altitude air transportation a practical reality. As UAM continues to attract substantial interest from industry and government stakeholders, Deniz’s innovative approach to autonomy positions him as a key contributor to the next generation of aerial mobility solutions.