<div dir="auto">This is a really good venue to consider.<div dir="auto"><br></div><div dir="auto">Artur</div></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">---------- Forwarded message ---------<br>From: <strong class="gmail_sendername" dir="auto">Linda DeBrunner via AsilomarSSC</strong> <span dir="auto"><<a href="mailto:asilomarssc@lists.fsu.edu">asilomarssc@lists.fsu.edu</a>></span><br>Date: Wed, Mar 20, 2024, 4:23 PM<br>Subject: [AsilomarSSC] CFP: 2024 Asilomar Conference on Signals, Systems, and Computers<br>To: Linda DeBrunner via AsilomarSSC <<a href="mailto:asilomarssc@lists.fsu.edu">asilomarssc@lists.fsu.edu</a>><br></div><br><br>
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<div dir="auto"><span style="color:#212529;font-family:Helvetica Neue,sans-serif;font-size:16px">The Asilomar Conference on Signals, Systems, and Computers will be held Oct. 27-30, 2024. We hope you will consider submitting a paper. </span><strong style="color:#212529;font-family:Helvetica Neue,sans-serif;font-size:16px">Extended
Summaries are due for consideration by May 1, 2024. </strong><span style="color:#212529;font-family:Helvetica Neue,sans-serif;font-size:16px">Students that are first authors are encouraged to participate in the Student Paper Contest, which requires full
paper submissions at this time. Details of the student paper contest are given on the conference website. Submissions will be accepted starting April 1, 2024. </span><span style="font-family:Helvetica Neue,sans-serif;font-size:16px">Notifications of acceptance
will be mailed by mid-July 2024. Full final papers are due shortly after the conference and published in early 2025. T</span><span style="color:#212529;font-family:Helvetica Neue,sans-serif;font-size:16px">he Call for Papers is attached.</span><span style="font-size:16px"><br>
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</span><span style="color:#212529;font-family:Helvetica Neue,sans-serif;font-size:16px">Updates will be posted on the conference website: </span><a style="font-family:Helvetica Neue,sans-serif;font-size:16px" href="https://www.asilomarsscconf.org/" target="_blank" rel="noreferrer">https://www.asilomarsscconf.org/</a><span style="font-family:Helvetica Neue,sans-serif;font-size:16px">.</span><span style="font-size:16px"><br>
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</span><strong style="font-family:Helvetica Neue,sans-serif;font-size:16px"><em>Authors are invited to submit papers in the following areas:</em></strong><span style="font-size:16px"><br>
</span><strong style="color:#000000;font-family:Garamond;font-size:16px">A. Communication Systems</strong><span style="color:#000000;font-family:Garamond;font-size:16px">: 1. Modulation and Coding, 2. Channel Estimation and Equalization, 3. ML for Communications,
4. Full Duplex, 5. JC&S, 6. Ultra-Low Latency, 7. Physical Layer Security & Privacy, 8. Underwater Communications, 9. Wireline & Optical Communications, 10. Satellite Communications, 11. Communication Schemes for IoT, V2V, etc. 12. 6G and Beyond</span><span style="font-size:16px"><br>
</span><strong style="color:#000000;font-family:Garamond;font-size:16px">B. MIMO Communications and Signal Processing: </strong><span style="color:#000000;font-family:Garamond;font-size:16px">1. Single- and Multi-User MIMO, 2. Massive MIMO, 3. MIMO Channel
Estimation 4. Cooperation & Relaying, 5. Interference Management & Awareness, 6. mmWave and THz, 7. Cell-Free Systems, 8. Reconfigurable Intelligent Surfaces</span><span style="font-size:16px"><br>
</span><strong style="color:#000000;font-family:Garamond;font-size:16px">C. Networks and Graphs: </strong><span style="color:#000000;font-family:Garamond;font-size:16px">1. Network Information Theory, 2. Distributed Optimization & Algorithms, 3. Graph Signal
Processing, 4. Machine Learning over Graphs, 5. Federated Learning, 6. Wireless Networks, 7. IoT, 8. Social Networks and Network Science, 9. Data Networks & Computational Offloading, 10. Transportation, UAV & V2V Networks, 11. Power Networks & Smart Grids</span><span style="font-size:16px"><br>
</span><strong style="color:#000000;font-family:Garamond;font-size:16px">D. Adaptive Systems, Machine Learning, and Data Analytics</strong><span style="color:#000000;font-family:Garamond;font-size:16px">: 1. Adaptive Filtering, 2. Adaptive and Cognitive Systems,
3. Estimation and Inference, 4. Compressive Sensing and Sparse Recovery, 5. Models for High-Dimensional Large-Scale Data, 6. Optimization, 7. Online Learning and Regret Minimization, 8. Learning Theory and Algorithms, 9. Self- and Semi-supervised Learning,
10. Deep Learning, 11. Reinforcement Learning</span><span style="font-size:16px"><br>
</span><strong style="color:#000000;font-family:Garamond;font-size:16px">E. Array Processing and Multisensor Systems</strong><span style="color:#000000;font-family:Garamond;font-size:16px">: 1. Source Localization and Separation, 2. DoA Estimation, 3. Tensor
Models and Processing, 4. ML for Array Processing and Multisensor Systems, 5. Sparse Sensor Arrays, 6. Robust Methods, 7. Applications (Imaging, MIMO Radar, JC&S, Sonar, Microphone Arrays, etc.)</span><span style="font-size:16px"><br>
</span><strong style="color:#000000;font-family:Garamond;font-size:16px">F. Biomedical Signal and Image Processing</strong><span style="color:#000000;font-family:Garamond;font-size:16px">: 1. Molecular and Medical Imaging, 2. Computational Imaging, 3. Neuroengineering,
4. Processing of Physiological Signals, 5. Bioinformatics and Computational Biology, 6. Image Registration and Multimodal Imaging, 7. Functional Imaging, 8. Brain Machine Interfaces, 9. Neural Signal Processing, 10. Computational Neuroscience</span><span style="font-size:16px"><br>
</span><strong style="color:#000000;font-family:Garamond;font-size:16px">G. Architectures and Implementation</strong><span style="color:#000000;font-family:Garamond;font-size:16px">: 1. Computer Arithmetic and Algorithms, 2. Algorithm and Architecture Co-optimization,
3. Hardware Accelerators, 4. Reconfigurable Processing, 5. Multi- core, Many-core, and Distributed Systems, 6. Architectures for ML, 7. In-Memory Processing, 8. Cyber-Physical Systems, 9. Mixed-Signal Processors, 10. Testbeds, 11. Emerging Technologies</span><span style="font-size:16px"><br>
</span><strong style="color:#000000;font-family:Garamond;font-size:16px">H. Speech, Image and Video Processing</strong><span style="color:#000000;font-family:Garamond;font-size:16px">: 1. Speech Coding, 2. Speech Recognition, 3. Audio Coding, 4. Document
Processing, 5. Models for Speech & Image Processing, 6. Image & Video Coding, 7. Learning and Autonomous Systems, 8. Natural Language Processing, 9. Computer Vision, Image and Video Analysis, 10. Image & Video Forensics, 11. Biometrics & Security, 12. Hybrid
Imaging Systems</span></div>
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<div>Dr. Linda S. DeBrunner
<div dir="auto">Electrical & Computer Engineering</div>
<div dir="auto">FAMU-FSU College of Engineering</div>
<div dir="auto">Florida State University</div>
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