Note: All times are in Pacific Daylight Time (UTC -7)
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| Sunday, October 31 |
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16:00 - 18:00
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Attend
Student Paper Contest |
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| Monday, November 01 |
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08:00 - 09:30
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Attend
Opening Ceremony and Plenary Session |
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09:45 - 11:15
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Attend
A-1: 5G and Beyond I |
Room 1
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Attend
A-2: 5G and Beyond II |
Room 1
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Attend
A-3: Communication Systems Optimization |
Room 1
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Attend
A-4: Dependable Vehicle-to-Everything Connectivity (invited) |
Room 1
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Attend
B-10: mm-Wave and Hybrid MIMO Systems |
Room 2
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Attend
B-2: Baseband Algorithms and Architectures for Millimeter-Wave Massive MIMO (invited) |
Room 2
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Attend
B-5: Intelligent Reflecting Surfaces (invited) |
Room 2
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Attend
D-13: Machine Learning I |
Room 3
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Attend
D-14: Machine Learning II |
Room 3
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Attend
D-15: Machine Learning with Graphs (invited) |
Room 3
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Attend
E-3: Beamforming I |
Room 4
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Attend
E-4: Beamforming II |
Room 4
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Attend
E-7: Direction-of-Arrival Estimation |
Room 4
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Attend
F-1: Advances in ECG and EEG Signal Processing (invited) |
Room 5
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Attend
F-8: Processing of Physiological Signals |
Room 5
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Attend
F-9: Signal Processing for Electrophysiology (invited) |
Room 5
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Attend
G-3: Architectures for Radio Frequency Fingerprinting and Wireless Security (invited) |
Room 6
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Attend
G-9: Solutions for IoT Nodes and Energy Constrained IoT Devices (invited) |
Room 6
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11:15 - 12:45
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Attend
A-10: Neural Networks for Communications |
Room 1
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Attend
A-5: Machine Learning for Communications (invited) |
Room 1
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Attend
A-9: Modulation Classification |
Room 1
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Attend
B-11: Physically Consistent Modeling of MIMO Communications (invited) |
Room 2
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Attend
B-12: Physically Consistent Modelling of MIMO Systems |
Room 2
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Attend
B-9: MIMO Beamforming and Sensing |
Room 2
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Attend
D-18: Theory for Machine Learning |
Room 3
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Attend
D-19: Theory of Reinforcement Learning (invited) |
Room 3
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Attend
D-8: Deep Learning and Reinforcement Learning |
Room 3
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Attend
E-12: Source Localization and Separation I |
Room 4
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Attend
E-13: Source Localization and Separation II |
Room 4
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Attend
E-8: Fundamentals and Bounds in Array Processing |
Room 4
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Attend
F-2: Bioinformatics and Computational Biology |
Room 5
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Attend
F-5: Neural Engineering and Signal Processing |
Room 5
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Attend
F-6: Neural Signal Processing (invited) |
Room 5
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Attend
F-7: Neuroscience-inspired Machine Learning (invited) |
Room 5
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Attend
G-5: Energy-Efficient Array Transmitters (invited) |
Room 6
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Attend
G-8: Multifunction RF Signals and Systems (invited) |
Room 6
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| Tuesday, November 02 |
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08:00 - 09:30
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Attend
Tutorial Revisiting MIMO from a Circuits Perspective |
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09:45 - 11:15
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Attend
A-11: Physical Layer Security and Privacy |
Room 1
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Attend
A-13: Reconfigurable Intelligent Surfaces (invited) |
Room 1
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Attend
A-6: mm-Wave and Beyond (invited) |
Room 1
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Attend
C-2: Deep Learning for Wireless Networks (invited) |
Room 3
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Attend
C-5: Learning for Wireless and Sensor Networks |
Room 3
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Attend
C-8: Optimization and Monitoring of Wireless Networks |
Room 3
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Attend
D-10: Estimation and Inference II |
Room 3
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Attend
D-11: Estimation and Inference III |
Room 3
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Attend
D-12: Machine Learning for Data Distributions (invited) |
Room 3
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Attend
D-9: Estimation and Inference I |
Room 3
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Attend
E-5: Computational Sampling I (invited) |
Room 4
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Attend
E-6: Computational Sampling II (invited) |
Room 4
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Attend
F-10: Signal Processing for Neural and Medical Imaging (invited) |
Room 5
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Attend
F-3: Computational Imaging in Medicine |
Room 5
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Attend
F-4: Computational Imaging, Molecular and Medical Imaging |
Room 5
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Attend
G-1: Algorithms, Architectures and Practicalities |
Room 6
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Attend
G-4: Arithmetic and Algorithms |
Room 6
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11:15 - 12:45
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Attend
A-12: Recent Advances in Simultaneous Transmit-Receive Systems (invited) |
Room 1
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Attend
A-7: Modulation and Coding |
Room 1
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Attend
A-8: Modulation and Detection |
Room 1
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Attend
C-1: Decentralized Learning |
Room 3
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Attend
C-3: Federated Learning (invited) |
Room 3
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Attend
C-9: Reinforcement Learning over Networks (invited) |
Room 3
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Attend
D-16: Model-based Deep Learning for Inverse Problems in Imaging (invited) |
Room 3
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Attend
D-17: Robust Learning with Maximum Correntropy Criterion (invited) |
Room 3
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Attend
D-2: Adversary-Resilient Distributed Machine Learning (invited) |
Room 3
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Attend
E-11: Moving Target Detection and Traffic Monitoring |
Room 4
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Attend
E-2: Array Signal Processing for Radar Applications |
Room 4
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Attend
E-9: Joint Communications and Sensing |
Room 4
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Attend
H-1: Blending Physics and Learning for Computational Imaging (invited) |
Room 5
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Attend
H-2: Computer Vision |
Room 5
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Attend
H-6: Signal, Image and Video Processing Education (invited) |
Room 5
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Attend
G-2: Architectures and Implementation |
Room 6
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Attend
G-6: Hardware Accelerators |
Room 6
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Attend
G-7: Machine Learning and Hardware Aspects |
Room 6
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| Wednesday, November 03 |
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08:15 - 09:45
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Attend
B-1: Applications of MIMO Systems |
Room 1
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Attend
B-3: Distributed and Cell-Free Massive MIMO Systems (invited) |
Room 1
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Attend
B-6: Massive MIMO Communication and Localization beyond 5G (invited) |
Room 1
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Attend
C-4: Inference on Graphs |
Room 3
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Attend
C-6: Learning with Brain Connectomes (invited) |
Room 3
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Attend
C-7: Network Science and Applications |
Room 3
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Attend
D-3: Algorithms for Data Analytics I |
Room 3
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Attend
D-4: Algorithms for Data Analytics II |
Room 3
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Attend
D-6: Applications of Data Analytics |
Room 3
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Attend
E-1: Array Processing and Multisensor Systems Applications |
Room 4
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Attend
E-10: Machine Learning Methods in Inverse Problems (invited) |
Room 4
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Attend
E-17: Theory and Algorithms for Nonlinear Inverse Problems (invited) |
Room 4
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Attend
H-3: Exploring New Areas in Speech Processing (invited) |
Room 5
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Attend
H-7: Speech, Audio, Biometrics and Forensics |
Room 5
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09:45 - 11:15
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Attend
B-4: FDD based MIMO Systems |
Room 1
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Attend
B-7: Massive Random Access I (invited) |
Room 1
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Attend
B-8: Massive Random Access II (invited) |
Room 1
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Attend
C-10: Representation and Learning on Graphs (invited) |
Room 3
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Attend
C-11: Signal Processing over Graphs |
Room 3
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Attend
C-12: Trends in Graph Signal Processing (invited) |
Room 3
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Attend
D-1: Advances in Coupled Matrix and Tensor Factorizations, with Application to Remote Sensing (invited) |
Room 3
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Attend
D-5: Applications of (Machine) Learning |
Room 3
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Attend
D-7: Data Analytics for Radar Systems |
Room 3
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Attend
E-14: Sparse Arrays in Passive and Active Sensing (invited) |
Room 4
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Attend
E-15: Tensor Models and Processing |
Room 4
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Attend
E-16: Tensor Signal Processing and Applications (invited) |
Room 4
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Attend
H-4: Hyperspectral Image Processing (invited) |
Room 5
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Attend
H-5: Image Processing |
Room 5
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