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| Tuesday, December 6 |
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13:30 - 17:00
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| Tutorial: TUT: Graph Signal Processing: Fundamentals and Applications to Diffusion Processes |
Rosslyn I
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| Wednesday, December 7 |
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08:30 - 09:30
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| Plenary: PLEN-1: Ben Vigoda - Deep Bayesian Program Learning |
Salon ABC
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10:00 - 11:00
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| Keynote: RMN-K1: Angelia Nedic - Distributed Hypothesis Testing on Graphs |
Salon A
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| Keynote: ITSP-K1: H. Vincent Poor - Secure Broadcasting with Independent Secret Keys |
Salon B
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| Keynote: SGI-K1: Georgios B. Giannakis - Online Learning and Management of Future Cyber-Physical Networks |
Salon C
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| Keynote: SPBD-K1: Jelena Kovačević - Sampling on Graphs |
Salon H
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| Keynote: UCD-K1: Nuno Vasconcelos - Understanding Video of Crowded Environments |
Salon J
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11:00 - 12:20
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| Keynote: RMN-K2: Pramod Varshney - On Optimization of Sensor Management Policies for Distributed Estimation |
Salon A
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| ITSP-1: Information Theoretic Approaches to Security and Privacy I |
Salon B
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| SGI-1: State Estimation |
Salon C
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| SPBD-1: Signal Processing of Big Data I |
Salon H
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| UCD-1: Signal Processing for Understanding Crowd Dynamics I |
Salon J
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| CSDL-1: Compressed Sensing, Deep Learning I |
Salon K
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12:30 - 14:00
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| Lunch |
Salon 3
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14:00 - 17:00
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| Workshop: WS-MW: Signal Processing for Sensing and Machine Learning |
Salon 2
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14:00 - 15:00
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| Keynote: ITSP-K2: Ashish Khisti - The MIMOME Channel |
Salon B
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14:00 - 15:40
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| RMN-1: Distributed Information Processing, Optimization, and Resource Management over Networks I |
Salon A
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| ITSP-2: Information Theoretic Approaches to Security and Privacy II |
Salon B
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| SGI-2: Measurement-based Smart Grid Analytics |
Salon C
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| SPBD-2: Signal Processing of Big Data II |
Salon H
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| UCD-2: Signal Processing for Understanding Crowd Dynamics II |
Salon J
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| CSDL-2: Compressed Sensing, Deep Learning II |
Salon K
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| GS-P1: General Symposium Poster: Source Separation and Deconvolution |
Salon DEFG
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16:10 - 16:50
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| Keynote: CCR-K1: Maria Sabrina Greco - Cognitive Radars: Some Applications |
Salon J
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16:10 - 17:30
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| GS-1: General Symposium: Optical and Visible Light Communications |
Salon A
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| SGI-3: Cyber-physical Attacks and Forensics |
Salon C
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| SPBD-3: Signal Processing of Big Data III |
Salon H
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| CCR-1: Machine Learning for Characterization of Cognitive Communications and Radar I |
Salon J
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| CSDL-3: Compressed Sensing, Deep Learning III |
Salon K
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| RMN-P1: Distributed Information Processing, Optimization, and Resource Management over Networks Poster |
Salon DEFG
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| ITSP-P1: Information Theoretic Approaches to Security and Privacy Poster |
Salon DEFG
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| UCD-P1: Signal Processing for Understanding Crowd Dynamics Poster |
Salon DEFG
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17:45 - 19:15
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| Welcome Reception |
Grand Foyer
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| Thursday, December 8 |
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08:30 - 09:30
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| Plenary: PLEN-2: Danielle S. Bassett — Network Dynamics and Control in the Human Brain |
Salon ABC
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10:00 - 12:00
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| Meeting: Associate Editors Best Practices Discussion |
Rosslyn I
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10:00 - 11:00
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| Keynote: BDMI-K1: Dimitri Van De Ville - The Big Neuroimaging Data Extraction: How Advanced Signal Processing Can Unravel the Brain’s Functional Organization |
Salon A
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| Keynote: SPN-K1: Antonio Ortega - Learning Graphs from Data |
Salon B
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| Keynote: DT5G-K1: Thomas L. Marzetta - Massive MIMO: It Really Works! |
Salon C
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| Keynote: SGI-K2: Joshua Taylor - Power Systems Without Fuel |
Salon H
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| Keynote: ESP-K1: Behzad Shahraray - Multimedia Signal Processing: From Feature Engineering to Deep Learning |
Salon J
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| Keynote: SPBD-K2: Aleksandra Mojsilovic - Data 4 Good |
Salon K
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11:00 - 11:40
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| Keynote: DT5G-K2: Joseph Cavallaro - Algorithms, Architectures, and Testbeds for 5G Wireless Communication Systems |
Salon C
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11:00 - 12:20
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| BDMI-1: Big Data Analysis and Challenges in Medical Imaging I |
Salon A
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| SPN-1: Signal and Information Processing Over Networks I |
Salon B
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| DT5G-1: Transceiver Implementations and Architectures |
Salon C
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| SGI-4: Smart Grid Control |
Salon H
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| ESP-1: Emerging Signal Processing Applications I |
Salon J
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| CSDL-4: Compressed Sensing, Deep Learning IV |
Salon K
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12:30 - 14:00
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| Ethics for Authors and Volunteers - Things You Should Know Before Submitting Your Next Paper |
Rosslyn II
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| Lunch |
Salon 3
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13:00 - 13:45
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| Panel: PANEL: Perspectives on Machine Learning |
Salon 2
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14:00 - 15:00
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| Keynote: ESP-K2: Robert Pack - Signals, Information & Systems In Consumer Robot Products |
Salon J
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14:00 - 15:40
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| RMN-2: Distributed Information Processing, Optimization, and Resource Management over Networks II |
Salon A
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| SPN-2: Signal and Information Processing Over Networks II |
Salon B
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| DT5G-2: Millimeter Wave Technologies |
Salon C
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| SGI-5: Optimal Power Flow and Power Markets |
Salon H
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| ESP-2: Emerging Signal Processing Applications II |
Salon J
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| SSPC-1: Sparse Signal Processing for Communications I |
Salon K
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| CSDL-P1: Compressed Sensing, Deep Learning Poster I |
Salon DEFG
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| GS-P2: General Symposium Poster: Signal Decomposition |
Salon DEFG
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16:10 - 16:50
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| Keynote: BDMI-K2: Tulay Adali - Data-Driven Analysis of Medical Imaging Data: Overview, Challenges, and Prospects |
Salon A
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16:10 - 17:30
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| BDMI-2: Big Data Analysis and Challenges in Medical Imaging II |
Salon A
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| CSDL-5: Compressed Sensing, Deep Learning V |
Salon B
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| DT5G-3: Cellular 5G Systems |
Salon C
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| SSPC-2: Sparse Signal Processing for Communications II |
Salon K
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| ESP-P1: Emerging Signal Processing Applications Poster |
Salon DEFG
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| GS-P3: General Symposium Poster: Detection and Tracking |
Salon DEFG
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| SPN-P1: Signal and Information Processing Over Networks Poster I |
Salon DEFG
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| SGI-P1: Storage Management and Demand Response |
Salon DEFG
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| DT5G-P1: Transceivers and Signal Processing for 5G Wireless Systems |
Salon DEFG
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|
17:30 - 19:00
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| Young Professionals Event |
Salon 2
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17:45 - 19:15
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| Evening Reception |
Grand Foyer
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| Friday, December 9 |
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08:30 - 09:30
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| Plenary: PLEN-3: Stéphane Mallat — High Dimensional Learning with Deep Neural Networks |
Salon ABC
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10:00 - 11:00
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| Keynote: SPN-K2: Alejandro Ribeiro - Statistical Signal Processing on Graphs |
Salon A
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| Keynote: DT5G-K3: Robert W. Heath Jr - Signal Processing Challenges in Broadband mmWave |
Salon B
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| Keynote: SSPC-K1: Georgios B. Giannakis - Sparsity and Low Rank for Inference of Cognitive Network States |
Salon C
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10:00 - 10:40
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| Keynote: CCR-K2: Sejong Yoon - Decentralized Probabilistic Learning for Sensor Network |
Salon H
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10:00 - 11:00
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| Keynote: BDMI-K3: Yoram Bresler - Adventures in Learning and Sparse Modeling for Bio-imaging |
Salon J
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| Keynote: NCTA-K1: Al Hero - Non-commutativity in Signal Processing |
Salon K
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11:00 - 12:20
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| SPN-3: Signal and Information Processing Over Networks III |
Salon A
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| DT5G-4: Transceiver Algorithms |
Salon B
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| SGI-6: Power Line and Smart Grid Communications |
Salon C
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| CCR-2: Machine Learning for Characterization of Cognitive Communications and Radar II |
Salon H
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| BDMI-3: Big Data Analysis and Challenges in Medical Imaging III |
Salon J
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| GS-2: General Symposium: Statistical Signal Processing and Estimation |
Salon K
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11:30 - 14:00
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| Meeting: GlobalSIP to GlobalSIP |
Rosslyn I
|
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12:30 - 14:00
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| Lunch |
Salon 3
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14:00 - 15:40
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| SPN-4: Signal and Information Processing Over Networks IV |
Salon A
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| DT5G-5: Massive MIMO Systems |
Salon B
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| SGI-7: Electric Vehicles |
Salon C
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| CCR-3: Machine Learning for Characterization of Cognitive Communications and Radar III |
Salon H
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| GS-3: General Symposium: Speech Processing |
Salon J
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| NCTA-1: Non-Commutative Theory and Applications I |
Salon K
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| CSDL-P2: Compressed Sensing, Deep Learning Poster II |
Salon DEFG
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| DT5G-P2: Massive MIMO and mmWave |
Salon DEFG
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| SSPC-P1: Sparse Signal Processing for Communications Poster I |
Salon DEFG
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16:10 - 17:30
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| DT5G-6: Full Duplex, Transceiver and RF Technologies |
Salon B
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| BDMI-4: Big Data Analysis and Challenges in Medical Imaging IV |
Salon J
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| NCTA-2: Non-Commutative Theory and Applications II |
Salon K
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| CSDL-P3: Compressed Sensing, Deep Learning Poster III |
Salon DEFG
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| GS-P4: General Symposium Poster: Signal Processing for Communications |
Salon DEFG
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| SPN-P2: Signal and Information Processing Over Networks Poster II |
Salon DEFG
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