Max Robotics — Global Service Robot Directory + US Certification

About

Dr. Yange Chen is a leading researcher at the intersection of privacy-preserving machine learning and industrial robotics, with a particular focus on securing Internet of Things (IoT) ecosystems. Their work addresses the critical challenge of deploying deep learning models in robot systems without compromising sensitive data. Dr. Chen’s most influential contribution is a privacy-preserving image multi-classification deep learning model for industrial IoT robots (38 citations), which pioneered the integration of cryptographic techniques with neural networks in robotic contexts. They further advanced this field with a homomorphic re-encryption framework for deep learning in robot systems (28 citations), demonstrating how to maintain model accuracy while ensuring data confidentiality. Most recently, Dr. Chen has developed a fog and edge computing-based data integration scheme (8 citations) that enhances security for moving robots in IIoT fog networks. Their cumulative work, spanning from 2020 to 2024, has established foundational protocols for secure, real-time robotic operations in industrial settings. By combining deep learning, cryptography, and edge computing, Dr. Chen’s research enables the safe deployment of intelligent robots in sensitive environments, making them a pivotal figure in the evolution of secure industrial automation.