Ph.D Theses

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Ph.D Theses

Foteini  Agrafioti (University of Toronto), “ECG in Biometric Recognition: Time Dependency and Application Challenges”, Advisor: Dimitrios Hatzinakos (2011)

As biometric recognition becomes increasingly popular, the fear of circumvention, obfuscation and replay attacks is a rising concern. Traditional biometric modalities such as the face, the fingerprint or the iris are vulnerable to such attacks, which defeats the purpose of biometric recognition.

Matthew C. Stamm (University of Maryland) “Digital multimedia forensics and anti-forensics”, Advisor: Prof. K. J. Ray Liu, 2012

Je-Won Kang(University of Southern California), “Efficient coding techniques for high definition video”, Prof. C.-C. Jay Kuo, 2012

Xiaojie Zhang(University of California, San Diego), “LDPC Codes -- Structural Analysis and Decoding Techniques”, Advisor: Prof. Paul H. Siegel, 2012

Yuehao Wu, (University of Delaware), “Compressive optical imaging systems”, Advisor: Prof. Dennis W. Prather, 2012.

Jorge Iván Núñez Sánchez (Arizona State University ), “Development and Applications of a Multispectral Microscopic Imager for the In Situ Exploration of Planetary Surfaces”, Advisor: Jack D. Farmer, 2012.

Angshul Majumdar (University of British Columbia), “A Sparsity Based Approach Towards Fast MRI Acquisition”, Advisor: Prof. Rabab K. Ward, 2012

Magnetic Resonance Imaging (MRI) is a safe medical imaging modality that can acquire high quality scans. However, MRI has a relatively long acquisition time. Reducing the MRI data acquisition time had been a challenge to researchers for the last two decades. In this thesis, the author proposed Compressed Sensing based techniques to speed-up MRI scans.

Ramsin Khoshabeh(University of California, San Diego), “Revolutionizing Laparoscopy: Bringing Glasses-free Multiview 3D into the Operating Room”, Advisor: Prof. Truong Nguyen, 2012

Se Hoon Lim (Duke University), “Compressive Holography”, Advisor: David J. Brady, 2012

Marcos Efren Bolanos (Michigan State University), “Signal processing inspired graph theoretic methods for understanding functional connectivity of the brain”, Advisor: Prof. Selin Aviyente (2012)


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