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.
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
CMU Engineering
Engineering meets extreme reality
"Extreme reality engineering” is all about creating technology that can operate under some of the worst conditions imaginable.
CyLab Security and Privacy Institute
Do you hear what I hear? A cyberattack.
In a new study presented this week at the Conference on Applied Human Factors and Ergonomics, Cai and two co-authors show how cybersecurity data can be heard in the form of music.
Associated Artists of Pittsburgh
Cai elected to AAP board
CyLab’s Yang Cai has been elected as the Board Member of Associated Artists of Pittsburgh (AAP). He will help develop new creativity education programs, promote young artists, and explore innovation industries.
The Seattle Times
Cai quoted on COVID-19 spread
CyLab’s Yang Cai was quoted in the Seattle Times on coronavirus spread while traveling.
CMU Engineering
Remote fever-scanning technologies
Researchers are developing affordable fever-screening technologies for buildings and first responders to detect fevers, using an algorithm to detect faces and measure temperature on the forehead.
CMU Engineering
Safety helmet for firefighters
Communication technologies built into a firefighter’s helmet can send directional information in realtime to firefighters working in dangerous environments.
CyLab Security and Privacy Institute
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.
CyLab Security and Privacy Institute
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.