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PhD

Moscow Institute of Physics and Technology

Artificial Intelligence and Machine Learning

• Dissertation: Development and research of algorithms and methods of adaptive maneuver planning of an autonomous vehicle

MSc

Bauman Moscow State Technical University

Mechatronics and Robotic Systems

• Thesis: Convolutional neural networks for manipulator control and object grasping

BSc

Tishreen University (now Latakia University)

Mechatronics, Robotics, and Automation Engineering

Behavior Planning Engineer for Autonomous Systems

• Developed and deployed production-ready decision-making algorithms into the Apollo stack; validated on Kia Soul autonomous vehicle across 50+ scenarios (urban, highway, intersections), achieving 10% performance improvement.
• Designed heuristic-based scheduling and planning algorithm for autonomous outdoor cleaning robot; developed and validated in CoppeliaSim with Bullet physics.
• Built and maintained bidirectional CARLA–Apollo bridge for sensor data exchange and control integration, enabling simulation-to-deployment workflows.
• Designed and optimized trajectory generation algorithms using Frenet-frame representation for smooth, collision-free paths in dynamic environments.
• Collaborated with perception and control teams to integrate planning algorithms with sensor pipelines and vehicle actuation systems.

Doctoral Candidate Research Assistant

• Developed TAMP framework (FFStreams) combining heuristic search with Streams for real-time adaptive decision-making under safety constraints.
• Extended framework with QCNet transformer model for multi-agent trajectory prediction, enabling prediction-aware behavior planning.
• Evaluated planning algorithms across multiple benchmark datasets (inD, Argoverse 2, CitySim, INTERACTION, CommonRoad).
• Designed learning-based behavior tree algorithms for overtaking and RL-based adaptive parking.
• Published in IEEE Robotics and Automation Letters (Q1) and Springer LNCS.