CAMSAP 2017 - IEEE workshop on Computational Advances in Multi-Sensor Adaptive Processing

Following the success of the first six editions of the IEEE workshop on Computational Advances in Multi-Sensor Adaptive Processing, we are pleased to announce the seventh workshop in this series. IEEE CAMSAP 2017 will be held at the Santa Barbara Beach and Golf Resort in world-renowned Curaçao, Dutch Antilles, and will feature a number of plenary talks from the world’s leading researchers in the area, special focus sessions, and contributed papers.
Important Dates
-Paper submission: June 29, 2017 (extended deadline - firm)
-Notification of acceptance: September 11, 2017
-Final paper submission: October 11, 2017
All papers will undergo peer review in order to provide feedback to the authors and ensure a high-quality program. Best student paper awards will also be presented at the workshop. Student travel support sponsored by the IEEE Signal Processing Society (SPS) will be available for student authors from all over the world. The awardees will be selected by a CAMSAP committee and the paper quality will be taken into consideration.
Plenary Speakers
-Yonina C. Eldar (Technion, Israel): Sub-Nyquist Sampling without Sparsity and Phase Retrieval
-Daniel P. Palomar (Hong Kong University of Science and Technology, Hong Kong): A Signal Processing and Optimization Perspective on Financial Engineering
-Antonio Ortega (University of Southern California, USA): Designing Distributed Sensing Systems using Graph Signal Processing
-Tulay Adali (University of Maryland Baltimore County, USA): Data Fusion through Matrix and Tensor Factorizations: Uniqueness, Diversity, and Interpretability
-Mérouane Debbah (CentraleSupelec, France): Artificial Intelligence for 5G : Challenges and Opportunities
-Nikos Sidiropoulos (University of Minnesota, USA): Tensors and Probability: An Intriguing Union
Tutorials
-Josef A. Nossek (Federal University of Ceará (Brazil) & TU Munich (Germany)): The Multiport Communication Theory
-Georgios B. Giannakis (University of Minnesota, USA): Learning Nonlinear and Dynamic Connectivity and Processes over Graphs
Topics of interest
-Array processing, waveform diversity, space-time adaptive processing
-Convex optimization and relaxation
-Computational linear & multi-linear algebra
-Computer-intensive methods in signal processing (bootstrap, MCMC, EM, particle filtering, etc.)
-Signal and information processing over networks
-Sparse signal processing
Applications
-Big data
-Biomedical signal processing
-Communication systems
-Computational imaging
-Radar
-Sensor networks
-Smart grids
-Sonar
Special sessions
-Target Tracking
-Exploiting Structure in Compressed Sensing
-Advances in Processing Faulty High-Dimensional Data
-Ill-Posed Inverse Problems in High Resolution Imaging
-Non-convex Optimization Methods for Signal Processing
-Learning Representations for Tensor Data
-Graph Signal Processing
-Advances in Multi-Sensor Processing With Coarse Quantization
-Sparsity in Sensing and Inference
-Advances in Monte Carlo Methods for Optimization and Inference in High-dimensional Systems
-Advanced Computational methods for Photon Limited Imaging and Sensing
-Advances in Multi-Sensor Adaptive Processing for GNSS
-Recent Advances in Tensor-Based Signal Processing and Applications
-Information Geometry Approaches for Signal Processing
-Algorithms for Big Data Analytics
-Signal Processing for Smart Grids
-Biomedical Signal Processing
-Signal Processing for mmWave Communication in Frequency Selective Channels
-Low-dimensional Dynamical Systems in Signal Processing and Data Analysis
Submission guidelines
Papers should have a maximum of 4 pages for technical content including figures and possible references, and with one additional optional 5th page containing only references.
All contributions must be submitted using the EDAS on-line system at
https://edas.info/newPaper.php?c=22857
Detailed information on paper submission is available from the workshop website at http://www.cs.huji.ac.il/conferences/CAMSAP17/auth...
André de Almeida, Martin Haardt (General Co-Chairs)
Xiaoli Ma, Shahram ShahbazPanahi (Technical Co-Chairs)