AI • Energy Systems • Model Predictive Control
🏆 Best Paper Award - ICSEEA 2026
Electrical Engineering Master's student specializing in Artificial Intelligence, Model Predictive Control, and Energy Systems. Passionate about building intelligent systems that solve real-world problems, especially in renewable energy and automation.
Teaching Python, Machine Learning, and Neural Networks using TensorFlow.
Worked on Industrial Automation and IoT research projects.
Built lithium battery packs and implemented BMS systems.
Designed an intelligent system for EV battery swap stations using Model Predictive Control.
🏆 Best Paper Award - ICSEEA 2026
Presented at ICSEEA 2026. Proposed a predictive control system for optimizing EV battery swap stations with renewable energy integration.
🏆 Best Paper Award
Bandung, Indonesia
Email: zac.maf78@gmail.com