Thank you for planning to participate to our upcoming 2021 Asilomar Conference on Signals, Systems, and Computers. Our initial intent was to hold a hybrid event in which some of the presentations would be held on-site and some solely in a virtual format. Over the summer the Technical Committee designed the overall hybrid event by considering authors preferences for presentation as virtual only or virtual plus on-site. Initially 228 papers were scheduled for on-site presentations to align with the authors´ presentation preferences.
However, a recent second poll sent early September to the initially identified on-site presenters shows currently only 93 papers are still intended to be presented in an on-site event [A separate correspondence will be sent to the Point of Contacts (POCs) for these 93 papers], which highlights recent concerns about in-person attendance.
We heard your recent concerns. Based on these recent low on-site numbers, current uncertainties with respect to COVID-19, and existing travel restrictions for overseas participants, the organizing committees have reached the difficult decision to move all presentations to the virtual event, which will contain a live as well as an on-demand component to allow for maximum interaction between participations irrespective of current world events.
2020 was our conference first foray in the virtual format, and we heard your feedback. To facilitate better live interaction between participants, we have made some changes to our previous 2020 virtual format.
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.