AI-driven Control Engineer & Researcher (Ph.D.) working at the intersection of machine learning, reinforcement learning, and control theory — applied to automotive systems, robotics, and electrified powertrains.
🎓 Google Scholar · 💼 LinkedIn · ✉️ fa_tatari@yahoo.com
- Reinforcement learning and online learning for control under uncertainty
- System identification of nonlinear dynamics — fixed-time, finite-time, concurrent learning
- Data-driven modeling of electrified powertrains and electric motors
- Distributed and adaptive control of multi-agent / networked systems
-
A Hybrid End-to-End and Modular Control Architecture Toward Safe Vehicle Lateral Control — arXiv preprint, 2026. 📄 arXiv · 💻 Code Blends a Soft Actor-Critic policy with constrained MPC for CAV lateral control through a single monotone coefficient.
-
Deep Learning-Based Rotor Temperature Estimation for Rare-Earth-Free Motors — NDIA GVSETS, 2026. 📄 Paper · 💻 Related Code GRU and LSTM virtual sensors for rotor temperature estimation in a 190 kW EESM. Open-source implementation on public PMSM data.
-
Online Learning of Noisy Functions via a Data-Regularized Gradient-Descent Approach — IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2025. 📄 Paper Online learning under measurement noise, with robotics and vehicle dynamics case studies.
-
Discrete-Time Nonlinear System Identification via Fixed-Time Concurrent Learning — IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2024. Identification of nonlinear discrete-time systems with provable fixed-time convergence.
-
Data-driven Thermal Modeling for Electrically Excited Synchronous Motors — A Supervised Machine Learning Approach — IEEE Transportation Electrification Conference & Expo (ITEC), 2024. 📄 Paper · 💻 Related Code Supervised ML for sensorless thermal estimation in EV traction motors.
-
Fixed-Time System Identification Using Concurrent Learning — IEEE Transactions on Neural Networks and Learning Systems, 2021. Concurrent-learning-based system identification with fixed-time convergence guarantees.
For the full publication list (30+ papers), see my Google Scholar profile.
Senior Control & AI Engineer at Drive System Design, working on ML-driven control and diagnostics for electrified powertrains. Outside of work, I'm building open-source Python implementations of my published methods — repos coming soon.
Always open to research collaboration in AI for control, ML for automotive, and reinforcement learning for real-world systems.