A. Zamfirescu

Carol Davila University of Medicine and Pharmacy

Papers

Total Citations

H-Index

About

Dr. A. Zamfirescu is at the forefront of Brain-Computer Interface (BCI) research, specializing in the integration of deep learning with robotics for assistive technologies. Their most cited work, "EEG-Based Mobile Robot Control Using Deep Learning and ROS Integration" (2024, 6 citations), demonstrates a pioneering approach to harnessing electroencephalography (EEG) signals for real-time mobile robot navigation. By evaluating advanced deep learning models—including ASTGCN, EEGNetv4, and a combined CNN architecture—Zamfirescu has significantly improved the efficiency and reliability of non-invasive BCIs. This work not only advances human-robot interaction but also opens new pathways for assistive devices that can empower individuals with motor disabilities. Zamfirescu’s contributions are marked by a practical, systems-level perspective, integrating ROS (Robot Operating System) to bridge the gap between neural decoding and physical robotic control. Their research stands out for its potential to translate complex neural signals into actionable commands, making BCIs more accessible and robust. With a growing citation impact, Zamfirescu is establishing themselves as a key innovator in neuroengineering and assistive robotics, pushing the boundaries of how humans can interact with machines through thought alone.