Yang Cai

Senior Systems Scientist, CyLab
Director, Visual Intelligence Studio

Yang Cai is senior systems scientist of CyLab, director of the Visual Intelligence Studio, and associate research professor by courtesy appointment of Biomedical Engineering, Carnegie Mellon University, Pittsburgh. His research interests include steganography, machine intelligence, video analytics, interactive visualization of big data, biomorphic algorithms, medical imaging systems, and visual privacy algorithms. He has wrote and edited 6 books including a new monograph Instinctive Computing (Springer, 2016) and a textbook Ambient Diagnostics (CRC, 2014). He also taught courses "Image, Video and Multimedia" (18-798), "Cognitive Video" (18-799K), and “Clinical Practicum” (42-790) at CMU.
2218 Collaborative Innovation Center
Visual Intel Studio

CyLab's Yang Cai demonstrates visualization of cybersecurity data


1996 Ph.D., Intelligent Transportation Engineering and Robotics, West Virginia University

1993 MS, Robotics, West Virginia University

1988 MS, Management Science and System Engineering, Zhejiang University

1982 BS, Control Engineering, ECE, Zhejiang University


Media mentions


Cai trains AI to detect malware distribution

Malware distribution networks (MDNs) are complex and difficult to detect, but artificial intelligence may be able to help. Using less training data than other models, CyLab’s Yang Cai and other researchers trained their system to detect patterns and new features in MDNs.

CMU Engineering

CyLab team uses AI to find and disrupt malware distribution networks

According to a new study authored by researchers in CyLab, network analysts have a new ally in detecting malware distribution networks: artificial intelligence.

Softcover of Cai textbook out this month

A softcover version of CyLab’s Yang Cai’s textbook, Ambient Diagnostics, is coming out this month. The book is about applied AI for personal healthcare.

CMU Engineering

Researchers create network traffic visualization tool to help thwart cyber attacks

CyLab research shows that the tools needed to thwart major DDoS attacks are on the horizon.