Mengmeng Ge

Xidian University, Harbin Institute of Technology

Papers

Total Citations

H-Index

About

Mengmeng Ge is a researcher working at the intersection of robotics, human-computer interaction, and intelligent systems security. Their work spans two complementary domains: perceptual sensing for autonomous robots and network security in robotic communications. In the area of human activity recognition, Ge has contributed to advancing multi-modal sensing approaches that combine UWB radar with camera systems on mobile robots, addressing longstanding challenges in reliability under complex lighting and environmental conditions — a contribution that has garnered 6 citations. More recently, Ge has turned attention to the growing security landscape surrounding robot communication, developing deep neural network-based methods for classifying encrypted network traffic without reliance on plaintext or labor-intensive manual feature extraction, work that has attracted 3 citations since its 2021 publication. Together, these contributions reflect a research trajectory focused on making robots both more perceptually capable and more secure in real-world deployments. While still building a citation record, Ge's dual focus on sensing intelligence and cybersecurity positions their work as increasingly relevant as autonomous robotic systems become more deeply integrated into everyday environments.