Generated by GPT-5-mini| IEEE Sensor Array and Multichannel Signal Processing Workshop | |
|---|---|
| Name | IEEE Sensor Array and Multichannel Signal Processing Workshop |
| Abbreviation | SAM |
| Established | 1990 |
| Discipline | Signal processing |
| Publisher | IEEE |
| Country | International |
| Frequency | Annual |
IEEE Sensor Array and Multichannel Signal Processing Workshop
The IEEE Sensor Array and Multichannel Signal Processing Workshop is an annual technical meeting focused on array signal processing, multichannel analysis, and related technologies. It attracts researchers, engineers, and practitioners from institutions such as Massachusetts Institute of Technology, Stanford University, University of California, Berkeley, Carnegie Mellon University, and Imperial College London, as well as industry participants from Google, Microsoft, Apple Inc., Intel, and Nokia. Leading figures from IEEE Signal Processing Society, Society of Photo-Optical Instrumentation Engineers, Defense Advanced Research Projects Agency, European Research Council, and National Science Foundation have contributed to program committees and keynote lectures.
The workshop traces origins to early meetings in the 1990s influenced by research at Bell Labs, M.I.T. Lincoln Laboratory, Los Alamos National Laboratory, Sandia National Laboratories, and NASA Jet Propulsion Laboratory. Early organizers included researchers affiliated with University of Southern California, University of Illinois Urbana-Champaign, Delft University of Technology, Technische Universität München, and ETH Zurich. Over decades the workshop has seen participation from scholars connected to Princeton University, Columbia University, Yale University, Harvard University, University of Cambridge, University of Oxford, California Institute of Technology, Georgia Institute of Technology, University of Michigan, University of Toronto, McGill University, University of British Columbia, Peking University, Tsinghua University, Seoul National University, KAIST, National University of Singapore, Monash University, University of Melbourne, University of Tokyo, Kyoto University, Tohoku University, Indian Institute of Technology Bombay, and Indian Institute of Science. Milestones include sessions emphasizing topics pioneered at Cambridge University Engineering Department, developments related to methods from Johns Hopkins University, and algorithmic advances paralleling work at Facebook AI Research and DeepMind.
The technical scope encompasses sensor array design and applications such as radar, sonar, acoustics, biomedical imaging, and wireless communications. Typical topics intersect with research from Radar Systems Directorate, Office of Naval Research, Raytheon Technologies, BAE Systems, Thales Group, and Lockheed Martin. Algorithmic areas relate to signal separation and estimation developments linked to Bell Labs Innovations, Max Planck Institute for Intelligent Systems, SRI International, Fraunhofer Society, and IBM Research. Sessions cover beamforming, direction-of-arrival estimation, blind source separation, independent component analysis, adaptive filtering, and sparse recovery with connections to work at École Polytechnique Fédérale de Lausanne, National Institutes of Health, Mayo Clinic, Siemens Healthineers, GE Healthcare, and Philips Research. Cross-disciplinary themes draw on machine learning advances from Carnegie Mellon University, Google DeepMind, OpenAI, and Stanford Artificial Intelligence Laboratory.
Organization commonly involves the IEEE Signal Processing Society local chapters, technical committees, and university hosts such as University of Glasgow, University of Edinburgh, KTH Royal Institute of Technology, Chalmers University of Technology, and Politecnico di Milano. Sponsorship has included national funding agencies and private industry: National Science Foundation, European Commission, EPSRC, DARPA, Defense Science and Technology Laboratory, NSERC, Australian Research Council, Samsung Research, Huawei Technologies, Ericsson, Qualcomm, Broadcom, ARM Holdings, and Texas Instruments. Program committees have featured editors and fellows from IEEE Fellows, Royal Society, Academia Europaea, National Academy of Engineering, and National Academy of Sciences.
Past editions have been co-located or associated with venues and events like ICASSP, EUSIPCO, ICASSP 2019, ICASSP 2020, NeurIPS, ICML, CVPR, ICASSP 2018, and regional meetings organized by EURASIP. Host cities have included Boston, San Francisco, London, Berlin, Paris, Rome, Barcelona, Athens, Stockholm, Copenhagen, Amsterdam, Vienna, Zurich, Munich, Tokyo, Seoul, Beijing, Shanghai, Singapore, Sydney, Melbourne, Toronto, Montreal, Vancouver, Delhi, Bangalore, Tel Aviv, Istanbul, Dubai, Cape Town, Johannesburg, Santiago, Buenos Aires, Mexico City, Los Angeles, San Diego, Palo Alto, Princeton, Philadelphia, Baltimore, Chicago, and Houston. Special sessions have been organized in collaboration with centers like MIT Media Lab, Stanford Center for Image Systems Engineering, Oxford Robotics Institute, Cambridge Centre for Smart Infrastructure and Construction, and Harvard John A. Paulson School of Engineering and Applied Sciences.
Proceedings are published under IEEE Xplore with contributions indexed alongside records from ACM Digital Library and citations visible in databases including Scopus, Web of Science, Google Scholar, DBLP, and arXiv. Notable proceedings include extended papers later appearing in journals such as IEEE Transactions on Signal Processing, IEEE Signal Processing Letters, IEEE Transactions on Audio, Speech, and Language Processing, IEEE Transactions on Image Processing, IEEE Journal of Selected Topics in Signal Processing, Proceedings of the IEEE, Journal of the Acoustical Society of America, IEEE Transactions on Antennas and Propagation, and IEEE Transactions on Wireless Communications. Authors have also published expanded versions with presses like Springer Nature, Elsevier, Wiley, Cambridge University Press, and Oxford University Press.
The workshop has recognized outstanding contributions with best paper awards, student paper awards, and lifetime achievement recognitions drawing parallels to honors such as the IEEE Medal of Honor, IEEE Emanuel R. Piore Award, IEEE Fourier Award, IEEE Haraden Pratt Award, IEEE Signal Processing Society Technical Achievement Award, Mileva Marić Prize, Turing Award-level acknowledgments in related fields, and fellowships from IEEE Fellows, Royal Society, National Academy of Engineering, and Academia Europaea. Recipients often hold positions at institutions including MIT, Stanford, Caltech, UC Berkeley, Princeton, Harvard, Oxford, Cambridge, ETH Zurich, EPFL, Imperial College London, and have industry affiliations with Google Research, Microsoft Research, IBM Research, Bell Labs, and Nokia Bell Labs.
Category:IEEE conferences Category:Signal processing conferences