Data Competitions are a great way to engage the global technical community to provide insight and analysis on your research data. IEEE DataPort is holding its inaugural Data Competition contest. As part of the contest, IEEE DataPort will select three Data Competitions to sponsor, providing $5000 in cash prizes for the winners of the three selected Data Competitions.

EEE Fellow is the highest grade of membership of the IEEE. It honors members with an outstanding record of technical achievements, contributing importantly to the advancement or application of engineering, science and technology, and bringing significant value to society.

Norliza Mohd Noor is currently attached as Professor in UTM Razak Faculty of Technology and Informatics, Universiti Teknologi Malaysia (UTM), Kuala Lumpur Campus.  She received her B. Sc. In Electrical Engineering from Texas Tech University in Lubbock, Texas and her Master of Electrical Engineering (by research) and PhD (Electrical Engineering) from UTM. 

The 2022 Membership Renewal year has begun and 1st notice renewal bills were mailed to members on October 1st. Members are encouraged to renew early online. On the membership renewal site, members can explore an interactive catalog of 2022 offerings and customize their renewal. 

The IEEE Signal Processing Society has developed guidelines related to SPS Chapter social media and Chapter Activities.

IEEE SPS has built a streamlined mechanism for employers to add a job announcement by simply filling in a simple job opportunity submission Web form related to a particular TC field. To submit job announcements for a particular Technical Committee, the submission form can be found by visiting the page below and selecting a particular TC.

The Signal Processing Society (SPS) has 12 Technical Committees that support a broad selection of signal processing-related activities defined by the scope of the Society.

The 2022 International Conference on Acoustics, Speech, & Signal Processing (ICASSP) invites proposals for its Signal Processing Grand Challenges (SPGC) program. ICASSP is the IEEE Signal Processing Society’s flagship conference targeting signal processing and its applications.

Adaptive (i.e., data-driven) methods have become very popular these last decades. Among the existing techniques, the empirical mode decomposition has proven to be very efficient in extracting accurate time-frequency information from non-stationary signals.

SP Arun, Associate Professor, IISc Bangalore, India, received his B.Tech from IIT Bombay, and MS & PhD from Johns Hopkins University, all in Electrical Engineering. He completed his postdoctoral research at Carnegie Mellon University and joined the Centre for Neuroscience at IISc where he is currently an Associate Professor and also an Associate Faculty of the Electrical Communication Engineering department.