The Signal Processing Society (SPS) has 12 Technical Committees and 3 Special Interest Groups (SIGs) that support a broad selection of signal processing-related activities defined by the scope of the Society.

The Arduino Simple Programming at school was held at five different schools near Parit Raja, Batu Pahat, Johor from October-November 2017. The schools are SK Jelutong, SMK Sri gading, SK Pintas Puding, SK Bukit Kuari and SK Seri Sabak Uni. The objective of Professional Knowledge Transfer Workshop is to give an exposure to the students of primary and secondary schools on engineering and to inspire them to be engineers. This program was organized by the Institute of Electrical and Electronics Engineers (IEEE) UTHM Student Branch with cooperation of IEEE Signal Processing Society (SPS) Malaysia Chapter. 

Each year, the IEEE Board of Directors confers the grade of Fellow on up to one-tenth of one percent of the voting members.  To qualify for consideration, an individual must have been a Member, normally for five years or more, and a Senior Member at the time for nomination to Fellow.  The grade of Fellow recognizes unusual distinction in IEEE’s designated fields.

The Signal Processing Society congratulates the following 39 SPS members who were recognized with the grade of Fellow
as of 1 January 2018:

In this course, you will learn the science behind how digital images and video are made, altered, stored, and used. We will look at the vast world of digital imaging, from how computers and digital cameras form images to how digital special effects are used in Hollywood movies to how the Mars Rover was able to send photographs across millions of miles of space. 

Engineering safety and computer security have traditionally been viewed as separate fields: safety concentrates on the avoidance of physical harm; security protects information and privacy. When computers and physical plants did not interoperate, separation of safety and security was both reasonable and prudent. Given the advent of CPSs, we can no longer consider these problems as separate.

Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep.

We are very pleased to announce that the 2nd IEEE International Workshop on Wireless Communications and Networking in Extreme Environments (IEEE WCNEE) will be held on April 16, 2018, in Honolulu, HI, USA (with IEEE INFOCOM 2018). The workshop website is available at http://wcnee.eng.buffalo.edu/.

Recently, leveraging technological advances and using Big Data approaches for information management and processing in extreme events (e.g., Natural Disasters, Extreme Weather, Emergency Events, Diseases and etc.) have attracted much research attention. Multimedia is increasingly becoming the most important and valuable source for insights and information in extreme events.

We invite symposium proposals for the sixth IEEE Global Conference on Signal and Information Processing (GlobalSIP) which will be held in Anaheim, CA, on November 26-28, 2018. GlobalSIP is a flagship IEEE Signal Processing Society conference that focuses on signal and information processing with an emphasis on up-and-coming signal processing themes.

IEEE has developed a new data repository called IEEE DataPort™ that offers the following benefits to the global technical community at large:

• Accepts and stores datasets up to 2TB in size and can accept multiple file uploads
• Full integration with AWS (Amazon Web Services) to facilitate data analysis in the Cloud
• Persistent Digital Object Identifier (DOI) for each uploaded dataset and analysis

And many more...