Qihao Zhou

Wuhan National Laboratory for Optoelectronics

Papers

Total Citations

339

H-Index

About

Qihao Zhou is a pioneering researcher whose work bridges the frontiers of artificial intelligence and advanced materials. His primary research areas span federated reinforcement learning and intelligent electronic skin systems, demonstrating a unique ability to tackle complex challenges across both computational and physical domains. In his highly cited 2021 work, Zhou provided a comprehensive survey of federated reinforcement learning, systematically outlining its techniques, applications, and open challenges—a foundational contribution that has garnered 199 citations and serves as an essential resource for researchers navigating this rapidly evolving field. Notably, Zhou also made a significant impact in tactile sensing technology with his 2017 study on dual-mode electronic skin. This innovative work integrated pressure sensing with a visualized injury warning capability, addressing the critical limitation of sensitivity loss under high pressure that plagued earlier single-mode e-skins. By mimicking biological skin’s pressure-sensing behavior, this breakthrough, cited 140 times, holds profound implications for prosthetics and medical diagnostics. Zhou’s interdisciplinary achievements—from advancing decentralized machine learning to creating smarter, more responsive electronic skins—underscore his role as a versatile innovator shaping the future of intelligent systems and human-machine interfaces.