About AMP Lab Projects Downloads Publications People Links
Wende
Zhang Personal
Homepage: http://amp.ece.cmu.edu/people/Wende/ |
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Office:
Porter Hall B32 Lab: Porter Hall B6 Phone: 412-268-7100 Fax: 412-268-3890 |
Mailing
Address: Department of ECE, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213-3890 |
[Research Interests] [Project] [Publications]
Research Focus:
Algorithms for Dynamic Traffic-aware Route Planning
We introduce a "Boids" concept to model the intelligent vehicles. Each intelligent vehicle follows simple rules/operations and communicates locally with the neighbor vehicles for traffic-aware route planning.
Algorithms and Security Analysis for Key Generation based on Biometrics
Design the key generation algorithms based on biometrics. The focus of the research is: stability and security of the key for the target user.
Algorithms for Personal Authentication
Design the classification algorithms for personal authentication.
Sensor Fusion
Fuse multi-biometric features of the same person from different biometric sensors for personal authentication.
Multi-Biometric Data Collection System Integration
Build the system for capturing multi-biometric data, like face, fingerprint, iris and voiceprint, etc.
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Information
Sharing for Dynamic Route Planning
In this project, we assume that some vehicles can share information among them locally, while the others can not. Based on the shared information, each vehicle will analyze the local traffic condition in real time, and build up the dynamic map, which contains real-time traffic information for route planning by the simple operations to minimize the traveling time. Please refer to the Information sharing for dynamic route planning project page for more details.
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Algorithms
and Security Analysis for Key Generation based on Biometrics
We build a key generation system based on biometrics. The system first extract the biometric features from the biometric data. Then the features are compared with thresholds to the generate bio-key. We also analyze the security problem of user information associated key generation (UIAKG) systems. We consider three kinds of attacks from the hacker: the exhaustive search attack, the authentic key statistics attack and the device key statistics attack. Please refer to the Key generation based on biometrics project page for more details.
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Algorithms
for Personal Authentication
For more details on the project please see the Personal authentication based on SMMS project page.
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Sensor
Fusion
The Distinguish Component Analysis+ weighting method is proposed to improve the performance of face verification. The same method is also proposed to perform sensor fusion. This algorithm will outperform the single decision. For more details on the project please see the Sensor fusion project page.
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Multi-biometric Data Acquisition Station (MBDAS) In order to evaluate the proposed biometric authentication / identification algorithms, acquire multiple biometrics from an individual at the same time and test what biometric sensors and sensor resolutions/sizes are reasonable candidates, the MBDAS system is built. For more details on the project please see the Sensor fusion project page.
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Conference Papers:
Research Report:
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