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| IEEE ICASSP | |
|---|---|
| Name | ICASSP |
| Status | Active |
| Genre | Academic conference |
| Frequency | Annual |
| First | 1976 |
| Organizer | IEEE Signal Processing Society |
IEEE ICASSP is an annual international conference focusing on signal processing, organized by the IEEE Signal Processing Society and attended by researchers from institutions such as Massachusetts Institute of Technology, Stanford University, University of Cambridge, University of Oxford, and University of California, Berkeley. The conference attracts participants from corporations like Bell Labs, Microsoft Research, Google Research, IBM Research, and NVIDIA as well as delegations from agencies such as NASA, European Space Agency, DARPA, National Science Foundation, and European Research Council. ICASSP serves as a forum where engineers and scientists from Princeton University, Harvard University, California Institute of Technology, ETH Zurich, and Tsinghua University present advances alongside representatives of companies including Intel, Qualcomm, Apple Inc., Samsung Electronics, and Sony Corporation.
The conference originated in the mid-1970s with founding participation from researchers at Bell Labs, AT&T, MIT Lincoln Laboratory, Stanford Research Institute, and University of Illinois at Urbana–Champaign, reflecting early ties to organizations such as IEEE, Association for Computing Machinery, National Institutes of Health, Defense Advanced Research Projects Agency, and European Organization for Nuclear Research. Through the 1980s and 1990s ICASSP featured contributions tied to laboratories including Xerox PARC, Lucent Technologies, Hewlett-Packard Laboratories, Siemens AG, and Nokia Bell Labs, while keynote speakers were drawn from institutions like Columbia University, Yale University, University of Michigan, Imperial College London, and University of Tokyo. In the 2000s the event expanded with sessions involving teams from Google, Facebook, Amazon, Microsoft, and Apple and collaborations with programs funded by National Science Foundation, European Commission Horizon 2020, Japan Society for the Promotion of Science, Canadian Institutes of Health Research, and Australian Research Council. Recent decades have seen interaction with initiatives at DeepMind, OpenAI, Stanford Artificial Intelligence Laboratory, MIT CSAIL, and Berkeley AI Research.
ICASSP covers topics spanning signal and array processing, machine learning, communications, audio, speech, image, video, biomedical signal processing, and multimodal systems with contributions from researchers at University of Pennsylvania, Johns Hopkins University, McGill University, University of Toronto, and Peking University. Typical subject areas link to applications developed at Philips Research, GE Healthcare, Siemens Healthineers, Roche Diagnostics, and Medtronic and intersect with work from centers such as Allen Institute for Brain Science, Salk Institute, Max Planck Society, Fraunhofer Society, and Los Alamos National Laboratory. Sessions frequently feature methods associated with groups at Carnegie Mellon University, University of Southern California, Cornell University, Duke University, and University of British Columbia, and topics align with standards bodies like 3GPP, ITU-R, IETF, MPEG, and W3C.
The IEEE Signal Processing Society formally organizes the conference with support from IEEE units including IEEE Communications Society, IEEE Computer Society, IEEE Robotics and Automation Society, IEEE Antennas and Propagation Society, and IEEE Information Theory Society and from corporate sponsors such as Google, Microsoft, NVIDIA, Intel, and Qualcomm. Local organizing committees often include faculty from host universities like University of Sydney, University of Toronto, ETH Zurich, Imperial College London, and Tsinghua University and collaborate with government agencies such as National Science Foundation, European Research Council, Japan Science and Technology Agency, Natural Sciences and Engineering Research Council of Canada, and National Natural Science Foundation of China.
ICASSP has convened in major venues worldwide, with past locations including New York City, San Francisco, London, Berlin, Tokyo, Seoul, Beijing, Sydney, Toronto, Milan, Vancouver, Barcelona, Marrakesh, Lisbon, Montreal, Athens, Prague, Stockholm, Hong Kong, and Singapore. Host institutions and conference centers have included Moscone Center, ExCeL London, Palazzo dei Congressi, Tokyo International Forum, KINTEX, Vancouver Convention Centre, Convention Centre Dublin, Melbourne Convention and Exhibition Centre, and Hong Kong Convention and Exhibition Centre.
Proceedings are published by IEEE Xplore and indexed in databases maintained by Scopus, Web of Science, Google Scholar, DBLP Computer Science Bibliography, and ACM Digital Library, and selected papers are expanded for journals such as IEEE Transactions on Signal Processing, IEEE Signal Processing Letters, IEEE Transactions on Audio, Speech, and Language Processing, IEEE Journal of Selected Topics in Signal Processing, and Proceedings of the IEEE. Special issues and invited tracks have featured work from authors affiliated with Nature Communications, Science Advances, PNAS, IEEE Communications Magazine, and IEEE Spectrum.
The conference presents awards and recognitions connected to honors like the IEEE Fellow designation, the IEEE Signal Processing Society Awards, the IEEE John von Neumann Medal, the IEEE Gustav Ranvier Award, and student paper awards aligned with programs at NSF Graduate Research Fellowship Program, Marie Skłodowska-Curie Actions, Fulbright Program, and Rhodes Scholarship affiliates. Notable prizes include best paper awards, best student paper awards, and lifetime achievement recognitions tied to luminaries from Bell Labs, MIT, Stanford University, Princeton University, and Caltech.
ICASSP has been the venue for milestones influencing technologies developed at Bell Labs, AT&T Bell Laboratories, Dolby Laboratories, Qualcomm, and Sony Corporation, and for work that underpins systems from Apple Inc., Google, Microsoft, Amazon, and Facebook. Landmark contributions presented at the conference relate to algorithms adopted by projects at DARPA, ESA, IBM Research, DeepMind, and OpenAI, and have informed standards by 3GPP, ITU, MPEG, IEEE Standards Association, and W3C. Many influential papers originated from research groups at Massachusetts Institute of Technology, Stanford University, Carnegie Mellon University, University of California, Berkeley, and ETH Zurich and have shaped fields represented in follow-on journals and industrial deployments across telecommunications, consumer electronics, medical imaging, autonomous vehicles, and audio engineering.