Engineering intelligent wireless systems—and making the human journey behind research visible.
I work at the intersection of wireless communication, artificial intelligence, and optimization. My research explores how adaptive systems can make future networks more reliable, energy-efficient, and responsive to real-world environments.
A feedback-controlled adaptive particle swarm optimization framework monitors ambient light and dynamically adjusts RIS elements to maximize received SNR, reduce BER, and improve energy efficiency in dim indoor environments.
A feedback-controlled optimization framework that senses changing light conditions and reconfigures intelligent surfaces to improve signal quality, reliability, and energy efficiency.
A dual-mode intelligent surface concept that strengthens visible-light links while harvesting optical energy for self-powered sensors in smart buildings.
An AI-assisted connectivity planning tool that uses particle swarm optimization to balance coverage, cost, power, and priority zones for rural schools.
A virtual-reality marine exploration initiative designed to make ocean education, conservation, and blue-economy innovation more immersive and accessible.
Vol. 20, No. 5 · pp. 38–43
Vol. 12, No. 9 · pp. d758–d763
My path began in Cape Verde with computer and telecommunication engineering, grew through international innovation and leadership, and now continues in Beijing as a PhD journey in AI-enhanced wireless communication.
Information and Communication Engineering, USTB
University of Science and Technology Beijing
Atlantic Technical University, Cape Verde
I share the learning, uncertainty, discipline, and small wins behind a PhD—so more people can see themselves in STEM.
Academic Forum · Beijing · 20253rd IS Academic Forum, USTB
Huawei Seeds for the Future
Blue Economy Hackathon
Huawei ICT Competition — Network Track
Open to research conversations, speaking opportunities, STEM collaborations, and projects at the intersection of AI and communication.