As we are starting to prepare for the Asilomar Conference on Signals, Systems, and Computers 2023, we would like to share our current planning efforts.
As some of you may be aware, our 2022 event was centered around a virtual component complemented by a scaled-down on-site component. Post-meeting survey feedback showed that participants valued the on-site event and were interested in moving back to an on-site event. We heard you and are planning along these lines.
The proceedings of the Asilomar conference are meant to be a written record of the presentations provided at the conference. In other words, these proceedings are not a medium for general publication of scientific results; rather, they serve a more specific and narrow purpose which is to summarize the discussions that occurred during the Conference.
It is the long-term Conference policy to restrict publication in the proceedings to papers which were presented live at the conference by one of the registered authors of the paper who is physically present at the conference. There is no exception to this policy.
No more than 4 papers (combination of invited and regular) papers per author or co-author will be accepted for presentation at the conference or published in the proceedings.
The conference executive committee and IEEE reserve the right to exclude a final paper submission from inclusion in the conference proceedings, if the final paper submission does not meet conference or IEEE standards for scope and/or quality.
The Asilomar Conference on Signals, Systems, and Computers is a yearly Conference held on the Asilomar Grounds in Pacific Grove, CA, USA. The IEEE Signal Processing Society is a technical co-sponsor. It provides a forum for presenting recent and novel work in various areas of theoretical and applied signal processing.
General areas of interest to the forum include:
Recent meetings have presented a wide array of work ranging from results in blind source separation, random networks, MIMO communications, low dimensional signal models to applications of signal processing in control, wireless communications, financial engineering, smart grids, biological systems, medical imaging, and big data.