ACSSC 2020 : Asilomar Conference on Signals, Systems and Computers

  in Conferences   Posted on June 1, 2020

Conference Information

Submission Deadline Sunday 15 Mar 2020 Proceedings indexed by :
Conference Dates Nov 1, 2020 - Nov 4, 2020
Conference Address Pacific Grove, United States
Conference & Submission Link https://www.asilomarsscconf.org/
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Ranking & Metrics (This is a TOP Conference)

Impact Score 4.12
#Contributing Top Scientists 138
#Papers published by Top Scientists 363
Google Scholar H5-index 28
Number of Editions: 54
Guide2Research Overall Ranking: 155
Category Rankings
Databases & Information Systems 32
Signal Processing 38
Proceedings https://ieeexplore.ieee.org/xpl/conhome/1000671/all-proceedings
DBLP Page https://dblp.uni-trier.de/db/conf/acssc

Conference Call for Papers

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:

Architecture and Implementation
Array Signal Processing
Biomedical Signal & Image Processing
Communication Systems
MIMO Communications & Signal Processing
Networks
Signal Processing & Adaptive Systems
Speech, Image & Video Processing

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.

Authors are invited to submit papers in the following areas:
A. Communications Systems: 1. Modulation and Coding,
2. Cognitive Radios and Spectrum Sharing, 3. Ultra-Low Latency,
4. Optimization, 5. Physical Layer Security and Privacy, 6. mmWave,
7. Underwater, 8. Wireline and Optical Communications, 9. Satellite,
10. IoT, 11. V2V, 12. 5G and Beyond
B. MIMO Communications and Signal Processing: 1. Multiuser
and Massive MIMO, 2. Channel Estimation and Equalization,
3. Full-Duplex, 4. Cooperation and Relaying, 5. Interference
Management and Awareness, 6. mmWave, 7. Optimization
C. Networks: 1. Wireless Networks, 2. IoT, 3. Network Information
Theory, 4. Optimization, 5. Graph Signal Processing, 6. Social
Networks, 7. Distributed Algorithms, 8. Security, 9. Computational
Offloading, 10. Self-Organizing Networks, 11. UAV and V2V
Networks, 12. Smart Grid
D. Adaptive Systems, Machine Learning, Data Analytics:
1. Compressive Sensing, 2. Supervised Learning, 3. Unsupervised
Learning, 4. Estimation and Inferences, 5. Adaptive and Cognitive
Systems, 6. Adaptive Filtering, 7. Fast and Scalable Algorithms,
8. Models for High-Dimensional Large-Scale Data, 9. Distributed
Computation and Storage, 10. Deep Learning, 11. Reinforcement
Learning
E. Array Processing and Multisensor Systems: 1. Source
Localization and Separation, 2. Beamforming, 3. Robust Methods,
4. MIMO and Cognitive Radars, 5. Tensor Models and Processing,
6. Sparse Sensor Arrays, 7. Optimization, 8. Applications (Imaging,
Radar, Sonar, Microphone Arrays)
F. Biomedical Signal and Image Processing: 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. Visualization
G. Architectures and Implementation: 1. Energy Efficiency,
2. Accelerators, 3. Reconfigurable Processing, 4. Non-idealities,
5. Multicore, Many-core and Distributed Systems, 6. Algorithm and
Architecture Co-optimization, 7. Architectures for Big Data,
8. Architectures for Machine Learning, 9. Cyber-Physical Systems,
10. Test-beds, 11. Mixed-Signal Processors, 12. Arithmetic and
Algorithms
H. Speech, Image and Video Processing: 1. Speech Coding,
2. Speech Recognition, 3. Audio Coding, 4. Document Processing,
5. Models for Speech and Image Processing, 6. Image and Video
Coding, 7. Learning and Autonomous Systems, 8. Computer Vision,
Image and Video Analysis, 9. Image and Video Forensics,
10. Biometrics and Security, 11. Hybrid Imaging Systems

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