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Encrypted Signal Processing for Privacy Protection: Conveying the Utility of Homomorphic Encryption and Multiparty Computation

In recent years, signal processing applications that deal with user-related data have aroused privacy concerns. For instance, face recognition and personalized recommendations rely on privacy-sensitive information that can be abused if the signal processing is executed on remote servers or in the cloud.

SPS Members Receive 2013 IEEE Awards

IEEE has announced the 2013 recipients of the IEEE Medals, Prize Paper, Service Awards, Corporate Recognitions and/or Honorary Membership awards. The following six Signal Processing Society members received IEEE Awards: IEEE FOUNDERS MEDAL to LEO BERANEK (LFIEEE) – Founder (retired), Bolt, Beranek, and Newman, Boston, MA, USA IEEE RICHARD W. HAMMING MEDAL to ARTHUR ROBERT CALDERBANK (FIEEE) – Dean of Natural Sciences, Duke University, Durham, NC, USA IEEE JACK S. KILBY SIGNAL PROCESSING MEDAL to BISHNU S.

Implementation of Network Coding for Social Mobile Clouds

Cooperation is known as an effective strategy in nature to achieve individual or common goals and is a key element in evolution for optimization, as Darwin pointed out in his famous work. Cooperation among weaker individuals (such as hyenas) has the potential to outperform stronger individuals (cheetahs) agnostic to the principle of cooperation. The concept of cooperation has been applied to mobile communication networks with the first appearance of so-called ad hoc networks or meshed networks.

Top Downloads in IEEE Xplore

Each issue of the “Reader’s  Choice” column in IEEE Signal Processing Magazine contains a list of articles published by the IEEE Signal Processing Society (SPS) that ranked among the top 100 most downloaded IEEE Xplore articles. To obtain the data through August 2012, please check the list in the November issue of IEEE Signal Processing Magazine. The table contains the citation information for each article and the rank obtained in IEEE Xplore.

Marcos Efren Bolanos(Michigan State University), “Signal processing inspired graph theoretic methods for understanding functional connectivity of the brain” (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) Functional brain networks underlying cognitive control processes have been of central interest in neuroscience. A great deal of empirical and theoretical work now suggests that frontal networks in particular the medial prefrontal cortex (mPFC) and lateral prefrontal cortex (lPFC) are involved in cognitive control.

Research Scientist/Engineer, Intelligent Fusion Technology, Inc, Maryland

Intelligent Fusion Technology (IFT) is a Research and Development (R&D) company focused on information fusion technologies from basic research to industry transition and product development and support. IFT is located in Germantown, Maryland. We are working on modeling, control, communication, signal/image/text processing, security, autonomy, and decision making in networked systems. We are looking for talented developers majoring in engineering (e.g., EE, ME, AE), computer science, and/or applied mathematics to join our multidisciplinary team as full-time employees or interns.