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.
CyLab's Yang Cai demonstrates visualization of cybersecurity data
Education
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
Affiliations
Research Interests
- AI and ML for security
- anonymity
- Applications of security and privacy
- artificial intelligence
- big data
- biometrics
- censorship resistance and measurement
- computer vision
- cyber physical systems security and privacy
- cybernetics
- cyberphysical systems (CPS)
- cybersecurity
- data security and privacy
- embedded systems security
- emerging applications security
- energy and critical infrastructure security
- forensics
- Formal methods
- hardware security
- healthcare
- image processing
- Internet of Things (IoT)
- intrusion and anomaly detection and prevention
- IoT security and privacy
- malware analysis and detection
- Measurement and analysis
- measurements of fraud, malware, spam
- medical devices
- ML and AI
- network security
- pattern recognition
- privacy
- privacy algorithms
- privacy engineering
- privacy enhancing technologies
- risk analysis and management
- security education, awareness, and training
- security of AI and ML
- social networks security and privacy
- software security
- systems security
- technical innovation
- threat analysis and modeling
- threat intelligence
- Usability and human behavior
- usable privacy and security
Media mentions
CyLab
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.