The human visual system has a unique ability to conceptualizing the dynamics of objects' interactions in a scene. We are not only able to detect objects' motion (including articulated and deformable ones, such as humans and animals) in a given scene but also distinguish different types of motion patterns in their bodies during various interactive actions.

As a reminder for continuing chapter chairs and for incoming chapter chairs for 2020, we would like to highlight a valuable resource available to you. Launched in 2018, IEEE OU Analytics, is a web-based business intelligence tool which delivers essential metrics on memberships or subscriptions to OUs, including Societies, Councils, Technical Communities, etc.

The IEEE Signal Processing Society (SPS) is honored to announce the elevation of 79 of its members to the grade of IEEE Senior Member. These members have demonstrated outstanding professional performance, exhibited professional maturity through long-term experience, and established themselves as leaders in their respective IEEE-designated fields of interest.

The IEEE Signal Processing Society (SPS) would like to express our concern and support for the members of our global community and all affected by the current COVID-19 pandemic.

The Signal Processing Society (SPS) has 13 Technical Committees and 2 Special Interest Groups (SIGs) that support a broad selection of signal processing-related activities defined by the scope of the Society.

The IEEE Signal Processing Society invites nominations for the positions of the Chair, Women in Signal Processing Committee and Chair, Young Professionals Committee. The term for the two positions is three years (1 January 2021-31 December 2023). Nominations must be received no later than 10 July 2020.

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.

Dr. Amy R. Reibman is a Professor of Electrical and Computer Engineering at Purdue University. Dr. Reibman received the B.S., M.S., and Ph.D. degrees in Electrical Engineering from Duke University. She joined Purdue after 23 years of industrial research at AT&T Labs -- Research, where she was a Distinguished Member of Technical Staff and a Lead Inventive Scientist.

This issue brings to you our interview with Dr. Subhro Das, an active IEEE Signal Processing Society (SPS) Young Professional.  I am a Research Staff Member at the MIT-IBM Watson AI Lab, IBM Research in Cambridge USA. The MIT-IBM Watson AI Lab, a first of its kind industry-academic collaboration between IBM Research and MIT, focus on fundamental research problems at the vanguard of artificial intelligence.