The Machine Learning for Signal Processing Technical Committee (MLSP TC) is excited to announce their upcoming workshops and also list the new members of the MLSP TC and awards/appointments recently received by the MLSP TC.

The IEEE Information Forensics and Security Technical Committee (IFS-TC) launched the First IFS-TC Image Forensics Challenge, a detection and localization forensics contest, open to students, researchers and practitioners interested in role-playing a forensic analyst.

GlobalSIP is a new flagship conference launched by the IEEE Signal Processing Society (SPS) in 2013. The focus of GlobalSIP is on signal and information processing and up-and-coming signal processing themes. The conference is composed of multiple co-located symposia, each with its own poster track for paper presentations, and invited plenary talks. The poster sessions for all symposia are co-located and the plenary talks are aligned into two parallel oral tracks. The first GlobalSIP conference will be held in Austin, Texas, from December 3-5, 2013.

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The Design and Implementation of Signal Processing Systems Technical Committee (DISPS TC) has the mission to promote and support activities of the IEEE Signal Processing Society in the areas of: i) Design, development and implementation of signal processing systems; ii) Design of algorithms with implementation in mind and iii) the Design of software tools and methodologies to support the design of signal processing systems.

Schlumberger-Doll Research, based in Cambridge, MA, invites applications for a Post-Doctoral position in its Petrophysics group. The candidate will conduct research in the area of signal processing, optimization and inversion for petrophysical applications with focus on data analysis and algorithm development for constrained and/or simultaneous inversion of various types of data. [Requirements] The candidate is expected to have a PhD in Electrical Engineering, Signal Processing or related field.

Job Title: Sr Electrical Engineer II; Location: Colorado Springs, CO.

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At first, machines were mainly used to solve complex mathematical problems. Today, they often embody more and more roles typically endowed by humans, such as a tutor in a virtual learning class or an assistant for virtual task realization.  A socially aware virtual character should be endowed with humanlike social capabilities.

Yuehao Wu, (University of Delaware), “Compressive optical imaging systems”, Advisor: Prof. Dennis W. Prather, 2012. Compared to the classic Nyquist sampling theorem, Compressed Sensing or Compressive Sampling (CS) was proposed as a more efficient alternative for sampling sparse signals.