The voting membership of the IEEE annually elects officers that serve on the top-tier IEEE governing bodies. All eligible voting members on 30 June 2010, as well as those elevated to Member or Graduate Student Member grade on or before that date, are eligible to vote in this year's IEEE Election to begin in August 2010. To help ensure you receive the ballot package, please review your contact information, member preferences, and education information by 15 June 2010. The IEEE Signal Processing Society (SPS) is one of the seven technical societies belonging to Division IX. All eligible SPS members will have an opportunity to vote for Division IX Director-Elect.

Max Nikias, a prominent member of the IEEE Signal Processing Society, will become USC's next president, succeeding Steven B. Sample on Aug. 3, 2010 at the helm of the 34,000-student university.

The International Conference on Image Processing (ICIP) is the premier forum for the presentation of technological advances and research results in the fields of theoretical, experimental, and applied image and video processing. ICIP-2010 will be held in Hong Kong on 26-29 September 2010. Thanks to the strong support of the IEEE Signal Processing Society and the commercial and industrial sectors in Hong Kong, the ICIP 2010 Organizing Committee is pleased to announce that a number of travel grants will be available for ICIP2010 participants.

The Sensor Array and Multichannel (SAM) Technical Committee (TC) addresses the areas of sensor array and multi-channel statistical signal processing. The committee interests span the areas of signal detection and estimation, direction-of-arrival estimation, beamforming, blind source separation, source localization and tracking, multiple-input multiple-output (MIMO) systems and space-time coding, sensor networks, and multichannel signal processing. Our main application areas are focused on radar, sonar, wireless communications, microphone array processing, navigation, seismology, radio astronomy, and biomedicine.

For each of the past 6 years, the Machine Learning for Signal Processing (MLSP) TC has hosted a data analysis competition. The specific application varies from year to year. The goal for this year's competition, MLSP 2010 Competition: Mind Reading, was to develop a feature extraction method and classifier to detect the neural signatures in EEG data that occur when the subject detects an instance of a pre-defined target during an image presentation task (using the oddball paradigm).

As reported by CNN in October 2009, the declaration of the H1N1 (swine flu) pandemic as a national emergency in the United States high lights the magnitude and continuing spread of the first pandemic flu outbreak in 40 years. The May 2010 “IN THE SPOTLIGHT” column of the IEEE Signal Processing Magazine discussed how signal processing techniques can be used to analyze the information content of H1N1 genomic sequences.