Davood focuses on flight dynamics and control systems. His expertise lies iPixhawkt dynamics, control, and aerial robotics, with a strong focus on autonomous flight, fault-tolerant control, and AI-driven aerial systems. At his academic posts, he founded and led the Intelligent Flight Systems Lab, directed and contributed to several national and international funded projects on fault detection, autonomous landing, morphing aircraft, hybrid electric multirotor, and aerial swarm intelligence. His research outputs include publications in leading journals such as AIAA Journal, IEEE Transactions, control engineering practice, aerospace science and technology. Davood is the holder of UK global talent visa and recognized in the Top 2% of Scientists worldwide (Stanford University & Elsevier, 2023 and 2024). Davood also brings industry experience as CEO of INOVA TECHS, developing flight simulators for training and aerial vehicle design.

Supervision/Area of expertise:

Flight Dynamics & Autonomous Systems Advanced modeling, stability analysis, and control of fixed-wing and multirotor aerial vehicles.

Fault Detection & Fault-Tolerant Control (FTC) Model-based, data-driven, and learning-based methods for detecting, isolating, and mitigating motor, actuator, and sensor faults in UAVs.

Vision-Based & Sensor-Driven Autonomous Landing Precision landing in constrained and unstructured environments using optical flow, deep learning, and multi-sensor fusion.

Cooperative UAV Swarms Decentralized control, communication-aware coordination, and cooperative search-and-rescue and environmental monitoring missions.

Morphing Aircraft & Aeroelastic Control Bio-inspired morphing concepts, structural–aerodynamic coupling, and aeroelastic control for performance enhancement.

Machine Learning & Deep Learning in Aerial Robotics Learning-based perception, decision-making, and anomaly detection for next-generation UAV autonomy.

Path Planning & Emergency Flight Management Risk-aware routing, obstacle avoidance, fault-resilient maneuvers, and emergency landing strategies. Simulation, HIL Testing & Experimental Validation High-fidelity simulation and Hardware-in-the-Loop (HIL) experiments using Pixhawk, ROS, custom UAV platforms, and multi-axis testbeds.