Articles and Manuscripts
Title: Classification of SSVEP signals using the combined FoCCA-KNN method and comparison with other machine learning methods (2023)
Authors: Mir Mikael Fatemi, Dr.Mohammad Manthouri
Impact: A novel approach for feature selection in classification problems within machine learning methods is introduced. This method demonstrates superior accuracy compared to conventional SSVEP signal classification techniques.
Publisher: Biomedical Signal Processing and Control (IF:5.1)
DOI: 10.1016/j.bspc.2023.104957
Title: Optimized Sliding Mode Control via Genetic Algorithm for Quad Tilt-Wing UAVs (2024)
Author: Mir Mikael Fatemi
Impact: In the ever-evolving realm of UAVs, the Quad Tilt-Wing configuration stands out for its versatility and adaptability. However, optimizing their control systems to ensure precision and efficiency remains a challenging task. This is where the groundbreaking research presented in this article comes into play.
Publisher: IEEE - 10th International Conference on Artificial Intelligence and Robotics (QICAR2024)
DOI: 10.1109/QICAR61538.2024.10496599
Title: Adaptive Sliding Mode Control for Quadrotor UAVs under Disturbances Using Multi-Layer Perceptron (2025)
Authors: Mir Mikael Fatemi, Prof.Dr. Adel Akbarimajd
Impact: This article introduces a new, robust control method for quadcopter drones that uses a neural network to adapt and improve traditional control. This approach leads to significantly reduced vibrations and better performance, including lower energy consumption. Ultimately, the research shows that combining AI and traditional control results in more resilient and efficient drones.
Publisher: IEEE Access (IF:3.4)
DOI: 10.1109/ACCESS.2025.3549356
Title: Adaptive Optimization of Integral Sliding Mode Controller in Quadrotor Systems: Experiments and Simulations (2024)
Authors: Mir Mikael Fatemi, Prof.Dr. Adel Akbarimajd
Impact: A versatile and resilient flight controller has been developed using ISMC. The initial gains for ISMC are fine-tuned through GA to ensure optimal system performance and stability. Continuous real-time optimization and AI-powered adaptation maximize online efficiency and robustness. Simulation results have been extensively validated against the prototype, confirming the controller’s effectiveness.
Publisher: Under review at “IEEE/ASME Transactions on Mechatronics”, IF:6.4
Title: Brain-Controlled Mobile Robot Based on Combinatorial Network BiLSTM and BiGRU Using EEG Signals: Experiments and Simulations (2024)
Authors: Mir Mikael Fatemi, Fatemeh Ghaempanah, Dr.Mohammad Manthouri
Publisher: Under review at “Biomedical Signal Processing and Control”, IF:5.1