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Incipit

As I take on the President of the Signal Processing Society (SPS) role, I am excited to connect with you through this column. I look forward to introducing myself and inviting you, the members, to join our volunteers in shaping our shared future.

Interdisciplinarity: The Clear Path Forward

We opened the year with the theme of “embracing interdisciplinarity,” emphasizing the fact that signal processing naturally builds bridges across different domains and disciplines. The front cover image of an organic bridge across mature trees giving birth to a sapling helped convey our message. After two special issues (two parts of one special issue), we come back to you with an issue comprised of feature articles and columns, which all reinforce the message in our first issue of 2024.

The Future of Bionic Limbs: The untapped synergy of signal processing, control, and wireless connectivity

The flexibility and dexterity of human limbs rely on the processing of a vast quantity of signals within the sensory-motor networks in the brain and spinal cord, distilled into stimuli that govern the commands and movements. Hence, the use of assistive devices, such as robotic limbs or exoskeletons, is critically dependent on the processing of a large number of heterogeneous signals to mimic natural movements.

Deep Internal Learning: Deep learning from a single input

Deep learning, in general, focuses on training a neural network from large labeled datasets. Yet, in many cases, there is value in training a network just from the input at hand. This is particularly relevant in many signal and image processing problems where training data are scarce and diversity is large on the one hand, and on the other, there is a lot of structure in the data that can be exploited.

Socially Intelligent Networks: A framework for decision making over graphs

By “social learning,” in this article we refer to mechanisms for opinion formation and decision making over graphs and the study of how agents’ decisions evolve dynamically through interactions with neighbors and the environment. The study of social learning strategies is critical for at least two reasons.

From Space-Central to Space-Time Balanced: A Perspective for Moore’s Law 2.0 and a Holistic Paradigm for Emergence

As I take on the President of the Signal Processing Society (SPS) role, I am excited to connect with you through this column. I look forward to introducing myself and inviting you, the members, to join our volunteers in shaping our shared future.

Call for Proposals: 2025 Cycle 1 Seasonal Schools & Member Driven Initiatives in Signal Processing

The IEEE Signal Processing Society invites all SPS Members to collaborate with their local Chapter in submitting a proposal for a Seasonal School, Forum, Regional Meeting, or Chapter Initiative event scheduled between April 2025 and September 2025.

Postdoc in Statistical Signal Processing, Network Science, and Deep Learning Applied to Brain Imaging Data at the University of Maryland, College Park

Institute & Lab: The University of Maryland, College Park (UMD or UMCP), was founded in 1856 and is located in the state of Maryland, USA. The university's faculty includes 2 Nobel Prize winners, 4 Pulitzer Prize winners, 58 members of the National Academy of Sciences, and numerous Fulbright Scholars. The A. James Clark School of Engineering at the University of Maryland is ranked among the top 18 engineering schools in the nation, renowned for its innovative education and research programs.