Summary
Cheng-yeh Chen is a PhD student in ECE at Georgia Tech with eight years of research and engineering experience spanning brain-computer interfaces, wireless communications, and practical software systems. His work at National Taiwan University produced measurable gains—improving VR streaming QoE, encoding/transmission efficiency for 360° video, and revealing queue correlation effects in 5G multi-connectivity—with publications in top venues. He combines strong theoretical analysis with hands-on system building, from a 3GPP-compliant 5G simulator used to study DDoS impacts to scalable algorithms for epidemic and social-graph modeling. Comfortable in both research and teaching roles, he has also led class instruction in C++ and developed high-accuracy phishing detection models during industry internships. Based in Atlanta, he brings a rare blend of wireless networking expertise and applied machine learning toward brain–AI interface problems.
8 years of coding experience
5 years of employment as a software developer
Master's degree, Communication Engineering,, Master's degree, Communication Engineering, at National Taiwan University