Research (DLR) Transfer Learning for Aerodynamics Applications Transfer Learning, Deep Learning, Wind Tunnel Tests Ph.D. (Georgia Tech) Data-Driven Aerodynamics Deep Learning Applications to Airfoil Performance Prediction and Inverse Design, Deep ConvNets, cGANs eVTOL Aircraft Control Allocation, Hybrid-Automata, Path Planning, Contingency Planning, Flight Dynamics Modeling Advanced Air Mobility Multi Agent Path Planning, MPC, Deep RL, MuZero, Pseudospectral Methods System Reliability Fault Tree Analysis, The Propagation of Statistical Moments, Resource Allocation, Augmented Lagrangian UAM Landing Landing Approach Surfaces Performance, Constraint, and Accuracy Analysis Other projects Gaussian Process, Model-Free Learning, and Semi-Parametric GP Regression M.Sc. (METU) Quadrotor Projects Controller Design, Nonlinear Adaptive Control, Data Measurement System Design and Tests B.Sc. (METU) RC-UAV Projects RC-UAV Design, Building, and Flight Tests, Aerodynamic, Flight Dynamic and Propulsion System Optimization
