Aerospace Engineer with M.S. from Sharif University of Technology, specializing in robotics, reinforcement learning, and control systems. Currently working as a Robotics Engineer at Fasta Robotics, developing multi-rotor autopilot and control systems.
class AliBaniAsad {
public:
std::string role = "Robotics Engineer";
std::string company = "Fasta Robotics";
std::string education = "M.S. Aerospace Engineering @ Sharif University of Technology";
std::vector<std::string> research_interests = {
"Reinforcement Learning",
"Robotics",
"Multi-Agent Systems",
"Automatic Control",
"Game Theory",
"Embedded ML"
};
std::vector<std::string> languages = {"Python", "C/C++", "Embedded C", "MATLAB"};
void sayHi() {
std::cout << "Thanks for visiting my profile!" << std::endl;
}
};- Robotics Engineer at Fasta Robotics — Designing autopilot control loops with embedded RL and developing guidance/navigation algorithms
- Section Leader at Stanford University — Code in Place (CS106A), mentoring international learners in Python
- Building robust RL policies for robotic control with 15k+ LOC stack (DDPG, TD3, SAC, PPO)
| Year | Title | Journal |
|---|---|---|
| 2024 | Attitude Control of a 3-DoF Quadrotor Platform Using a Linear Quadratic Integral Differential Game Approach | ISA Transactions |
| 2025 | Applied an in-motion transfer alignment approach during GPS outages utilizing RNN | Eng. App. of AI |
| Year | Title | Venue |
|---|---|---|
| 2025 | Robust DDPG RL Differential Game Guidance in Low-Thrust, Multi-Body Environments | 23rd ICIS |
| 2022 | Linear Quadratic Integral Differential Game for Real-time Quadrotor Control | IEEE ICRoM |
|
Zero-sum disturbance-augmented training yielding policies stable under 10× perturbations. 15k LOC RL stack (DDPG, TD3, SAC, PPO) in PyTorch/TensorFlow. |
Robust DDPG RL Differential Game Guidance in Low-Thrust, Multi-Body Dynamical Environments. Published at 23rd ICIS 2025. |
|
Best Thesis Award — LQI differential-game controller outperforming ADRC/DOBC for real-time 3-DoF quadcopter control. |
LSTM-MLP for GPS-denied INS alignment achieving < 0.1% drift vs Kalman-INS. Published in Eng. App. of AI 2025. |
| Degree | Institution | Period |
| M.S. Aerospace Engineering | Sharif University of Technology | Sep 2022 - Apr 2025 |
| B.S. Aerospace Engineering | Sharif University of Technology | Sep 2017 - May 2022 |
- Best Undergraduate Thesis — Iranian Aerospace Society (2023)
- National M.Sc. Entrance Exam — Rank 23 / 1,000+ (2022)
- National B.Sc. Entrance Exam — Top 0.5% of 150,000 (2017)