Gracieth Cavalcanti Batista

Gracieth C. Batista is an experienced electronic engineer with a double-degree PhD specializing in advanced systems based on sensor data acquisition and machine learning applications on hardware.

Her current research focuses on learning how to leverage carbon nanotube-based sensors for innovative applications in electronics and nanotechnology. She has a strong background in circuit design, signal processing, and programmable hardware, with expertise in integrating high-performance sensing solutions into real-world systems.

Passionate about cutting-edge technology, IoT, and machine learning, she continuously explores new methodologies to enhance sensor efficiency and performance. I also have experience in academic research, prototyping, and system optimization, bridging the gap between theoretical advancements and practical implementations.