---
# System prepended metadata

title: Asilomar Schedule 05/11/2019
tags: [Others]

---

# Asilomar Schedule 05/11/2019

###### Tags: `Others`

<details>
  <summary><span style="font-size:0.8em;color: #b15928"> Schedule Links </span></summary>
Asilomar http://asilomarssc.org/. 
Schedule at: https://www2.securecms.com/Asilomar2019/RegularProgram.asp
</details>

My print-friendly schedule: https://hackmd.io/TMccYcdmQ2uzhpN8mWh_dA

#### 07:30 - 09:00 Breakfast	Crocker Dining Hall
#### 08:00 - 18:00 Registration	
#### 08:15 - 09:55
* TA1a: Machine Learning for Channel Coding (Invited)	Nautilus

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<span style="font-size:0.8em">

TA1a-1: ON THE EFFICIENT DESIGN OF NEURAL NETWORKS IN COMMUNICATION SYSTEMS
         Weihong Xu; Southeast University, Nanjing
         Xiaosi Tan; Southeast University, Nanjing
         Zaichen Zhang; Southeast University, Nanjing
         Xiaohu You; Southeast University, Nanjing
         Chuan Zhang; Southeast University, Nanjing
         Yair Be'ery; Tel Aviv University
 
TA1a-2: ON ROBUST DEEP NEURAL DECODERS
         Meryem Benammar; ISAE Supaero
         Pablo Piantanida; CentraleSupelec - UdeM
 
TA1a-3: DEEP-LEARNING-AIDED SUCCESSIVE-CANCELLATION DECODING OF POLAR CODES
         Seyyed Ali Hashemi; Stanford University
         Nghia Doan; McGill University
         Warren Gross; McGill University
 
TA1a-4: DEEP LEARNING-DRIVEN COMMUNICATIONS: FROM BLOCK TO SEQUENCE PROCESSING
         Sebastian Doerner; University of Stuttgart
         Sebastian Cammerer; University of Stuttgart
         Stephan ten Brink; University of Stuttgart

</span>

</details>

* TA2a: Spectrum Sharing (Invited)	Surf & Sand

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TA2a-1: MULTIPLE-CHANNEL MULTIPLE-USER NORMALIZED MATCHED FILTER DETECTOR FOR RF CONVERGENCE
         Alex Chiriyath; Arizona State University
         Christ Richmond; Arizona State University
         Daniel Bliss; Arizona State University
 
TA2a-2: MISMATCHED FILTERING FOR NON-COOPERATIVE RADAR SPECTRUM SHARING
         Tuomas Aittomäki; Aalto University
         Visa Koivunen; Aalto University
 
TA2a-3: AUTOMOTIVE RADAR AS SIGNALS OF OPPORTUNITY FOR MILLIMETER WAVE V2I LINKS
         Anum Ali; University of Texas at Austin
         Nuria Gonzalez Prelcic; University of Vigo
         Robert Heath; University of Texas at Austin
         Amitava Ghosh; Nokia Bell Labs
 
TA2a-4: WAVEFORM DESIGN FOR MIMO-OFDM DUAL-FUNCTION RADAR-COMMUNICATION SYSTEM
         Ammar Ahmed; Temple University
         Yimin Zhang; Temple University

</span>

</details>

* TA3a: Distributed MIMO (Invited)	Triton

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<span style="font-size:0.8em">

TA3a-1: REAL-TIME PERFORMANCE EVALUATION OF RELATIVE CALIBRATION ON THE OAI 5G TESTBED
         Theoni Magounaki; Orange
         Florian Kaltenberger; EURECOM
         Raymond Knopp; EURECOM
 
TA3a-2: DYNAMIC DISTRIBUTED ANTENNA SYSTEMS WITH WIRELESS MMWAVE FRONTHAUL
         Stefan Schwarz; Technische Universitaet Wien
         Stefan Pratschner; Technische Universitaet Wien
 
TA3a-3: COORDINATION IN DISTRIBUTED MASSIVE MIMO: SYSTEMS, ALGORITHMS, AND HARDWARE ARCHITECTURE
         Hemanth Prabhu; Lund University
         Liang Liu; Lund University
         Farhana Sheikh; Intel Corporation
         Ove Edfors; Lund University
 
TA3a-4: DEEP LEARNING FOR DYNAMIC CLUSTERING IN CELL-FREE MASSIVE MIMO
         Sucharita Chakraborty; Linköping University
         Emil Bjornson; Linköping University
         Luca Sanguinetti; University of Pisa

</span>

</details>

* TA4a: Statistical Signal Processing and Big Data Analysis (Invited)	Heather

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<span style="font-size:0.8em">

TA4a-1: NOISY MATRIX COMPLETION: UNDERSTANDING STATISTICAL GUARANTEES FOR CONVEX RELAXATION VIA NONCONVEX OPTIMIZATION
         Yuxin Chen; Princeton University
         Yuejie Chi; Carnegie Mellon University
         Jianqing Fan; Princeton University
         Cong Ma; Princeton University
         Yuling Yan; Princeton University
 
TA4a-2: GENERALIZATION GUARANTEES FOR NEURAL NETWORKS VIA SMOOTH AND LOW-RANK JACOBIAN
         Samet Oymak; University of California, Riverside
 
TA4a-3: ACTIVE LEARNING ON GRAPHS VIA MULTI-SCALE REPRESENTATIONS
         Kaushik Seetharam; Arizona State University
         Gautam Dasarathy; Arizona State University
 
TA4a-4: IDENTIFICATION OF CORRELATION SUBSPACES FROM BATCH VERSUS SEQUENTIAL MEASUREMENTS
         Ali Koochakzadeh; University of California, San Diego
         Piya Pal; University of California, San Diego

</span>

</details>

* TA5a: Signal Processing Advances in Neuroimaging I (Invited)	Scripps

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<span style="font-size:0.8em">

TA5a-1: METHODS FOR ANALYZING LARGE-SCALE MULTI-MODAL BRAIN MRI FROM MULTIPLE SOURCES
         Alyssa Zhu; University of Southern California
         Daniel Moyer; University of Southern California
         Paul Thompson; University of Southern California
         Neda Jahanshad; University of Southern California
 
TA5a-2: EXTREME MRI: RECONSTRUCTING HUNDRED-GIGABYTE VOLUMETRIC DYNAMIC MRI FROM NON-GATED ACQUISITIONS
         Frank Ong; Stanford University
         Xucheng Zhu; University of California, San Francisco
         Joseph Cheng; Stanford University
         Peder Larson; University of California, San Francisco
         Shreyas Vasanawala; Stanford University
         Michael Lustig; University of California, Berkeley
 
TA5a-3: DETECTING STRUCTURAL BRAIN CONNECTIVITY DIFFERENCES IN DISEASE THROUGH A CONDUCTANCE MODEL
         Aina Frau-Pascual; Massachusetts General Hospital / Harvard Medical School
         Jean Augustinack; Massachusetts General Hospital / Harvard Medical School
         Bruce Fischl; Massachusetts General Hospital / Harvard Medical School
         Iman Aganj; Massachusetts General Hospital / Harvard Medical School
 
TA5a-4: CONTEXTUALIZED LANGUAGE INFORMATION YIELDS MASSIVE IMPROVEMENTS IN ENCODING MODELS FOR HUMAN FMRI
         Alexander Huth; University of Texas at Austin

</span>

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* TA6a: Computer Arithmetic (Invited)	Toyon

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TA6a-1: A PROBABILISTIC PROGRAMMING APPROACH TO THE ACCURACY AND STABILITY OF NUMERICAL ALGORITHMS
         George Constantinides; Imperial College London
         Fredrik Dahlqvist; Imperial College London
 
TA6a-2: CONDITIONAL ESTIMATION OF RESIDUALS WITH PRESCALING FOR USE IN LOW-ENERGY DIVISION UNITS
         Milos Ercegovac; University of California, Los Angeles
         James Stine; Oklahoma State University
 
TA6a-3: A VARIABLE-LATENCY ARCHITECTURE FOR ACCELERATING DETERMINISTIC APPROACHES TO STOCHASTIC COMPUTING
         Alexander Groszewski; University of Texas at Austin
         Earl Swartzlander; University of Texas at Austin
 
TA6a-4: MOLECULAR COMPUTING INSPIRED BY STOCHASTIC LOGIC VIA FRACTIONAL CODING
         Xingyi Liu; University of Minnesota
         Keshab Parhi; University of Minnesota

</span>

</details>

* TA7a: Adaptive Beamforming and Interference Mitigation (Invited)	Acacia

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<span style="font-size:0.8em">

TA7a-1: ADAPTIVE BEAMFORMING BASED ON INTERFERENCE COVARIANCE MATRIX ESTIMATION
         Yujie Gu; Temple University
         Yimin Zhang; Temple University
 
TA7a-2: MOVING TARGET DETECTION USING FAST ITERATIVE INTERPOLATED BEAMFORMING FOR DISTRIBUTED MIMO RADAR IN NON-HOMOGENEOUS CLUTTER
         Aboulnasr Hassanien; Wright State University
         Braham Himed; Air Force Research Laboratory
         Brian Rigling; Wright State University
 
TA7a-3: ON THE CONVERGENCE OF THE FAST ITERATIVE INTERPOLATED BEAMFORMER
         Elias Aboutanios; University of New South Wales
 
TA7a-4: ALGEBRAIC GEOMETRY BASED DESIGN FOR GENERALIZED SIDELOBE CANCELLER
         Matthew W. Morency; Delft University of Technology
         Sergiy A. Vorobyov; Aalto University

</span>

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* TA8a1: Convex and Non-Convex Optimization and Phase Retrieval	Merrill

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<span style="font-size:0.8em">

TA8a1-1: EXACT AND EFFICIENT MULTI-CHANNEL SPARSE BLIND DECONVOLUTION - A NONCONVEX APPROACH
         Qing Qu; New York University
         Xiao Li; Chinese University of Hong Kong
         Zhihui Zhu; Johns Hopkins University
 
TA8a1-2: BLOCK SUCCESSIVE CONVEX APPROXIMATION ALGORITHMS FOR NONSMOOTH NONCONVEX OPTIMIZATION
         Yang Yang; University of Luxembourg
         Marius Pesavento; Technische Universität Darmstadt
         Zhi-Quan Luo; Chinese University of Hong Kong, Shenzhen
         Björn Ottersten; University of Luxembourg
 
TA8a1-3: ALTERNATING GRADIENT DESCENT ASCENT FOR NONCONVEX-STRONGLY-CONCAVE MIN-MAX OPTIMIZATION
         Songtao Lu; University of Minnesota, Twin-Cities
         Rahul Singh; Georgia Institute of Technology
         Xiangyi Chen; University of Minnesota, Twin-Cities
         Yongxin Chen; Georgia Institute of Technology
         Mingyi Hong; University of Minnesota, Twin-Cities
 
TA8a1-4: SKETCHING DICTIONARY BASED ROBUST PCA IN LARGE MATRICES
         Xingguo Li; Princeton University
         Jarvis Haupt; University of Minnesota
 
TA8a1-5: BEYOND PROCRUSTES: BALANCING-FREE GRADIENT DESCENT FOR ASYMMETRIC LOW-RANK MATRIX SENSING
         Cong Ma; Princeton University
         Yuanxin Li; Carnegie Mellon University
         Yuejie Chi; Carnegie Mellon University
 
TA8a1-6: BILINEAR RECOVERY USING ADAPTIVE VECTOR-AMP
         Subrata Sarkar; Ohio State University
         Alyson Fletcher; University of California, Los Angeles
         Sundeep Rangan; New York University
         Philip Schniter; Ohio State University
 
TA8a1-7: FOURIER PHASE RETRIEVAL WITH SIDE INFORMATION
         Rakib Hyder; University of California, Riverside
         Chinmay Hegde; Iowa State University
         Salman Asif; University of California, Riverside

</span>

</details>

* TA8a2: Compressive Sensing and Sparsity	Merrill

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TA8a2-1: JOINTLY SPARSE SIGNAL RECOVERY WITH PRIOR INFO
         Natalie Durgin; Spiceworks
         Rachel Grotheer; Goucher College
         Chenxi Huang; Yale University
         Shuang Li; Colorado School of Mines
         Anna Ma; University of California, San Diego
         Deanna Needell; University of California, Los Angeles
         Jing Qin; University of Kentucky
 
TA8a2-2: NEAR SENSOR DECISION MAKING VIA COMPRESSED MEASUREMENTS FOR HIGHLY CONSTRAINED HARDWARE
         Wissam Benjilali; Univ. Grenoble Alpes, CEA, LETI, F-38000 Grenoble
         William Guicquero; Univ. Grenoble Alpes, CEA, LETI, F-38000 Grenoble
         Laurent Jacques; ISPGroup, ICTEAM/ELEN, UCLouvain, Louvainla- Neuve, Belgium
         Gilles Sicard; Univ. Grenoble Alpes, CEA, LETI, F-38000 Grenoble
 
TA8a2-3: LOW COMPLEXITY STATIC AND DYNAMIC SPARSE BAYESIAN LEARNING COMBINING BP, VB AND EP MESSAGE PASSING
         Christo Kurisummoottil Thomas; Eurecom
         Dirk Slock; Eurecom
 
TA8a2-4: C-SBL(VB): A VARIATIONAL BAYES ALGORITHM FOR SPARSE RECOVERY OF SIGNALS WITH UNKNOWN CLUSTERING PATTERN
         Mohammad Shekaramiz; Utah State University
         Todd Moon; Utah State University
         Jacob Gunther; Utah State University
 
TA8a2-5: LP QUASI-NORM MINIMIZATION
         Mahmoud Ashour; Pennsylvania State University
         Constantino Lagoa; Pennsylvania State University
         Necdet Aybat; Pennsylvania State University
 
TA8a2-6: DRIVING MARKOV CHAINS TO DESIRED EQUILIBRIA VIA LINEAR PROGRAMMING
         Harish S. Bhat; University of California, Merced
         Li-Hsuan Huang; University of California, Merced
         Sebastian Rodriguez; Northwestern University
 
TA8a2-7: CONVERGENCE ANALYSIS OF SPARSE BAYESIAN LEARNING UNDER APPROXIMATE INFERENCE TECHNIQUES
         Christo Kurisummoottil Thomas; Eurecom
         Dirk Slock; Eurecom
 
TA8a2-8: L_{1-2} REGULARIZED LOGISTIC REGRESSION
         Jing Qin; University of Kentucky
         Yifei Lou; University of Texas at Dallas

</span>

</details>

* TA8a3: Estimation and Adaptive Filtering	Merrill

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TA8a3-1: ON CONSTRAINED MODIFIED CRAMER-RAO LOWER BOUNDS FOR NON-STANDARD DETERMINISTIC ESTIMATION
         Jerome Galy; University of Montpellier 2
         Lucien Bacharrach; University of Toulouse
         Eric Chaumette; University of Toulouse
         Francois Vincent; University of Toulouse
 
TA8a3-2: ON STABILITY OF LINEAR ESTIMATORS IN POISSON NOISE
         Alex Dytso; Princeton University
         H. Vincen Poor; Princeton University
 
TA8a3-3: ESTIMATING KULLBACK-LEIBLER DIVERGENCE USING KERNEL MACHINES
         Kartik Ahuja; University of California, Los Angeles
 
TA8a3-4: EFFICIENT SER ESTIMATION FOR MIMO DETECTORS VIA IMPORTANCE SAMPLING SCHEMES
         Víctor Elvira; IMT Lille Douai
         Ignacio Santamaría; Universidad de Cantabria
 
TA8a3-5: ENTROPY-BASED NON-DATA-AIDED SNR ESTIMATION
         Ferran de Cabrera; Technical University of Catalonia (UPC)
         Jaume Riba; Technical University of Catalonia (UPC)
 
TA8a3-6: A GENERALIZED PROPORTIONATE-TYPE NORMALIZED SUBBAND ADAPTIVE FILTER
         Kuan-Lin Chen; University of California, San Diego
         Ching-Hua Lee; University of California, San Diego
         Harinath Garudadri; University of California, San Diego
 
TA8a3-7: PROPORTIONATE ADAPTIVE FILTERS BASED ON MINIMIZING DIVERSITY MEASURES FOR PROMOTING SPARSITY
         Ching-Hua Lee; University of California, San Diego
         Bhaskar D. Rao; University of California, San Diego
         Harinath Garudadri; University of California, San Diego
 
TA8a3-8: ADAPTIVE FILTERING IN DEEP IN-MEMORY ARCHITECTURES
         Chandrasekhar Radhakrishnan; University of Illinois
         Sujan Gonugondla; University of Illinois
 
TA8a3-9: CONVEX COMBINATION OF LMF AND ZA-LMF FOR VARIABLE SPARSE SYSTEM IDENTIFICATION
         Naveed Iqbal; King Fahd University of Petroleum & Minerals
         Murwan Bashir; King Fahd University of Petroleum & Minerals
         Azzedine Zerguine; King Fahd University of Petroleum & Minerals
 
TA8a3-10: FEATURE NORMALIZED LMS ALGORITHMS
         Hamed Yazdanpanah; Military Institute of Engineering
         José Antonio Apolinário Jr.; Military Institute of Engineering

</span>

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* TA8a4: Transmission and Beamforming Schemes	Merrill

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TA8a4-1: ORTHOGONAL COVER CODE DESIGN FOR 802.11BE EXTREMELY HIGH THROUGHPUT WLANS
         Miguel M. López; Ericsson AB
         Leif R. Wilhelmsson; Ericsson AB
 
TA8a4-2: D2D-AIDED MULTI-ANTENNA MULTICASTING IN A DENSE NETWORK
         Placido Mursia; EURECOM
         Italo Atzeni; University of Oulu
         Mari Kobayashi; Technical University of Munich
         David Gesbert; EURECOM
 
TA8a4-3: MONOSTATIC BACKSCATTERING DETECTION BY MULTIANTENNA READER
         Deepak Mishra; Linköping University
         Erik G. Larsson; Linköping University
 
TA8a4-4: ZERO-FORCING PRECODER: A SPECIAL CONSTRUCTIVE INTERFERENCE PRECODER
         Yanwu Ding; Wichita state university
         Khanh Pham; Air Force Research Laboratory
 
TA8a4-5: TOTAL POWER MINIMIZATION: JOINT ANTENNA SELECTION AND BEAMFORMING DESIGN
         Mostafa Medra; University of Toronto
         Andrew Eckford; York University
         Raviraj Adve; University of Toronto
 
TA8a4-6: ONE-BIT PRECODING CONSTELLATION DESIGN VIA AUTOENCODER-BASED DEEP LEARNING
         Foad Sohrabi; University of Toronto
         Wei Yu; University of Toronto
 
TA8a4-7: SYNTHETIC CHANNEL DIVERSITY TO MITIGATE OUT-OF-BAND INTERFERENCE ARTIFACTS IN WIDELY TUNABLE WIRELESS RECEIVERS
         Alyosha Molnar; Cornell University
         Zachariah Boynton; Cornell University
 
TA8a4-8: ANALYSIS OF RSRP PREDICTION IN MILLIMETER WAVE SYSTEMS
         Tianyang Bai; Qualcomm Flarion Technologies, Inc
         Juergen Cezanne; Qualcomm Flarion Technologies, Inc
         Hua Wang; Qualcomm Flarion Technologies, Inc
         Vasanthan Raghavan; Qualcomm Flarion Technologies, Inc
         Ozge H. Koymen; Qualcomm Flarion Technologies, Inc
         Junyi Li; Qualcomm Flarion Technologies, Inc
 
TA8a4-9: DEEP LEARNING FOR DIRECT HYBRID PRECODING IN MILLIMETER WAVE MASSIVE MIMO SYSTEMS
         Xiaofeng Li; Arizona State University
         Ahmed Alkhateeb; Arizona State University

</span>

</details>

#### 10:15 - 11:55
* TA1b: Short-Packet Communications (Invited)	Nautilus

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TA1b-1: LIST DECODING OF SHORT CODES FOR COMMUNICATION OVER UNKNOWN FADING CHANNELS
         Marvin Xhemrishi; German Aerospace Center (DLR)
         Mustafa Cemil Coşkun; German Aerospace Center (DLR)
         Gianluigi Liva; German Aerospace Center (DLR)
         Johan Östman; Chalmers University of Technology
         Giuseppe Durisi; Chalmers University of Technology
 
TA1b-2: FINITE-BLOCKLENGTH APPROXIMATIONS FOR NONCOHERENT RAYLEIGH BLOCK-FADING CHANNELS
         Alejandro Lancho; Universidad Carlos III de Madrid
         Johan Östman; Chalmers University of Technology
         Tobias Koch; Universidad Carlos III de Madrid
         Gonzalo Vazquez-Vilar; Universidad Carlos III de Madrid
 
TA1b-3: CODING PERFORMANCE MODELING FOR SHORT-PACKET COMMUNICATIONS
         Wei Yang; Qualcomm Technologies, Inc
         Ying Wang; Qualcomm Technologies, Inc
         Joseph Soriaga; Qualcomm Technologies, Inc
         Tingfang Ji; Qualcomm Technologies, Inc
         Kiran Mukkavilli; Qualcomm Technologies, Inc
 
TA1b-4: SHORT-PACKET LOW-POWER CODED ACCESS FOR MASSIVE MAC
         Suhas Kowshik; Massachusetts Institute of Technology
         Kirill Andreev; Skolkovo Institute of Science and Technology
         Alexey Frolov; Skolkovo Institute of Science and Technology
         Yury Polyanskiy; Massachusetts Institute of Technology

</span>

</details>

* TA2b: Signal Processing for Multiple-Antenna Systems with Coarsely Quantized Signals (Invited)	Surf & Sand

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A2b-1: OPTIMIZATION OF DISTRIBUTED MASSIVE MIMO NETWORKS WITH COARSE QUANTIZATION
         Alister Burr; University of York
         Kanapthipillai Cumanan; University of York
         Manijeh Bashar; University of Surrey
         Dick Maryopi; University of York
         Shammi Farhana Islam; University of York
 
TA2b-2: SPATIAL SIGMA-DELTA MODULATION FOR THE MASSIVE MIMO DOWNLINK
         Mingjie Shao; Chinese University of Hong Kong
         Wing-Kin Ma; Chinese University of Hong Kong
         Qiang Li; University of Electronic Science and Technology of China
         Lee Swindlehurst; University of California, Irvine
 
TA2b-3: LINEAR TRANSMIT PROCESSING WITH OPTIMIZED DITHERING
         Amodh Kant Saxena; University of Texas at Austin
         Amine Mezghani; University of Texas at Austin
         Robert W. Heath Jr.; University of Texas at Austin
         Jeffrey Andrews; University of Texas at Austin
 
TA2b-4: JOINT AUTOMATIC GAIN CONTROL AND RECEIVER DESIGN FOR LARGE-SCALE MU-MIMO WITH C-RANS AND COARSE QUANTIZATION.
         Thiago Cunha; Pontifical Catholic University of Rio de Janeiro
         Rodrigo de Lamare; Pontifical Catholic University of Rio de Janeiro
         Tadeu Ferreira; Fluminense Federal University

</span>

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* TA3b: Optimization of MIMO Systems (Invited)	Triton

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TA3b-1: FIRST ORDER METHODS FOR POWER CONTROL IN CELL-FREE MASSIVE MIMO
         Hien Quoc Ngo; Queen's University Belfast
         Le-Nam Tran; University College Dublin
 
TA3b-2: MAMIMO CELL ALLOCATION STRATEGIES: HOW MUCH DOES IT MATTER?
         Andrea P. Guevara; KU Leuven
         Cheng-Ming Chen; KU Leuven
         Sofie Pollin; KU Leuven
 
TA3b-3: TWO-STAGE BEAMFORMER DESIGN VIA DETERMINISTIC EQUIVALENTS
         Hossein Asgharimoghaddam; University of Oulu
         Antti Tolli; University of Oulu
 
TA3b-4: UTILITY-BASED PRECODING OPTIMIZATION FRAMEWORK FOR LARGE INTELLIGENT SURFACES
         Emil Björnson; Linköping University
         Luca Sanguinetti; University of Pisa

</span>

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* TA4b: Theory of Deep Learning (Invited)	Heather

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TA4b-1: A SPLINE THEORY OF DEEP NETWORKS
         Randall Balestriero; Rice University
         Richard Baraniuk; Rice University
 
TA4b-2: INFORMATION IN THE WEIGHTS AND EMERGENT PROPERTIES OF TRAINING DEEP NEURAL NETWORKS
         Alessandro Achille; University of California, Los Angeles
         Stefano Soatto; University of California, Los Angeles
 
TA4b-3: UNDERSTANDING GENERALIZATION IN NEURAL NETS VIA VISUALIZATION
         W Huang; University of Maryland
         Zeyad Emam; University of Maryland
         Micah Goldblum; University of Maryland
         Liam Fowl; University of Maryland
         Justin Terry; University of Maryland
         Tom Goldstein; University of Maryland
 
TA4b-4: ON EXACT COMPUTATION WITH AN INFINITELY WIDE NEURAL NET
         Sanjeev Arora; Princeton University
         Simon S. Du; Carnegie Mellon University
         Wei Hu; Princeton University
         Zhiyuan Li; Princeton University
         Ruslan Salakhutdinov; Carnegie Mellon University
         Ruosong Wang; Carnegie Mellon University
 
TA4b-5: DO IMAGENET CLASSIFIERS GENERALIZE TO IMAGENET?
         Ludwig Schmidt; University of California, Berkeley

</span>

</details>

* TA5b: Neuroscience-inspired Machine Learning (Invited)	Scripps

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TA5b-1: INFERENCE IN PROBABILISTIC GRAPHICAL MODELS BY GRAPH NEURAL NETWORKS
         KiJung Yoon; Hanyang University
         Renjie Liao; University of Toronto
         Yuwen Xiong; University of Toronto
         Lisa Zhang; University of Toronto Mississauga
         Ethan Fetaya; University of Toronto
         Raquel Urtasun; University of Toronto
         Richard Zemel; University of Toronto
         Xaq Pitkow; Baylor College of Medicine
 
TA5b-2: A PENALTY METHOD FOR THE CORRELATION GAME
         Kyle Luther; Princeton University
         Runzhe Yang; Princeton University
         Sebastian Seung; Princeton University
 
TA5b-3: NUMERICALLY STABLE GRADIENT DESCENT INSPIRED BY NEURAL DYNAMICS
         Piotr Sokol; Stony Brook University
         Ian Jordan; Stony Brook University
         Eben Kadile; Stony Brook University
         Il Memming Park; Stony Brook University
 
TA5b-4: LEARNING DISENTANGLED NEURAL REPRESENTATIONS OF SYMMETRY TRANSFORMATIONS
         Harshvardhan Sikka; Harvard University
         Weishun Zhong; Massachusetts Institute of Technology
         Jun Yin; Harvard University
         Cengiz Pehlevan; Harvard University

</span>

</details>

* TA6b: VLSI Systems for Communications (Invited)	Toyon

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TA6b-1: A LOW-POWER SCALABLE SIGNAL PROCESSING CHIP PLATFORM FOR 5G AND BEYOND - KACHEL
         Gerhard Fettweis; Technical University of Dresden
         Emil Matus; Technical University of Dresden
         Robert Wittig; Technical University of Dresden
         Mattis Hassler; Technical University of Dresden
         Stefan Damjancevic; Technical University of Dresden
         Sebastian Haas; Technical University of Dresden
         Friedrich Pauls; Technical University of Dresden
         Seungseok Nam; Technical University of Dresden
         Nairuhi Grigoryan; Technical University of Dresden
 
TA6b-2: AN ARCHITECTURE FOR GRANT-FREE MASSIVE MIMO MTC BASED ON COMPRESSIVE SENSING
         Markus Tran; Linköping University
         Oscar Gustafsson; Linköping University
         Petter Källström; Linköping University
         Kamil Senel; Linköping University
         Erik G. Larsson; Linköping University
 
TA6b-3: A PROGRAMMABLE 16X16 SYSTOLIC ARRAY ENHANCED ASIP FOR MASSIVE MIMO
         Mohammad Attari; Lund University
         Steffen Malkowsky; Lund University
         Yaoyu Tao; University of Michigan
         Zhengya Zhang; University of Michigan
         Ove Edfors; Lund University
         Liang Liu; Lund University
 
TA6b-4: DESIGN TRADE-OFFS FOR DECENTRALIZED BASEBAND PROCESSING IN MASSIVE MU-MIMO SYSTEMS
         Kaipeng Li; Rice University
         James McNaney; Rice University
         Oscar Castaneda; Cornell University
         Chance Tarver; Rice University
         Charles Jeon; Intel Labs
         Joseph R. Cavallaro; Rice University
         Christoph Studer; Cornell University

</span>

</details>

* TA7b: Automotive Radar (Invited)	Acacia

<details>
  <summary><span style="font-size:0.8em;color: #b15928"> Details </span></summary>

<span style="font-size:0.8em">

TA7b-1: OPTIMUM DESIGN FOR SPARSE FDA-MIMO AUTOMOTIVE RADAR
         Saeid Sedighi; University of Luxembourg
         Bhavani Shankar Mysore R; University of Luxembourg
         Kumar Vijay Mishra; University of Luxembourg
         Björn Ottersten; University of Luxembourg
 
TA7b-2: ROBUST AND ADAPTIVE RADAR ELLIPTICAL DENSITY-BASED SPATIAL CLUSTERING AND LABELLING FOR MMWAVE RADAR POINT CLOUD DATA
         Renyuan Zhang; University of Arizona
         Siyang Cao; University of Arizona
 
TA7b-3: MEASURING RADAR AND COMMUNICATION CONGRUENCE AT MILLIMETER WAVE FREQUENCIES
         Andrew Graff; University of Texas at Austin
         Anum Ali; University of Texas at Austin
         Nuria Gonzalez-Prelcic; University of Texas at Austin / University of Vigo
 
TA7b-4: OVERVIEW OF AUTOMOTIVE RADAR TEST-BED AT U. WASHINGTON
         Xiangyu Gao; University of Washington
         Guanbin Xing; University of Washington
         Weihua Jiang; University of Washington
         Sumit Roy; University of Washington
         Hui Liu; University of Washington

</span>

</details>

* TA8b1: Communication Systems	Merrill

<details>
  <summary><span style="font-size:0.8em;color: #b15928"> Details </span></summary>

<span style="font-size:0.8em">

TA8b1-1: PROBABILISTIC SHADOWING MODEL FOR INDOOR OPTICAL WIRELESS COMMUNICATION SYSTEMS
         Hamid Hosseinianfar; University of Virginia
         Jie Lian; University of Virginia
         Maite Brandt-Pearce; University of Virginia
 
TA8b1-2: OPTIMAL REPLAY-BASED CHANNEL SIMULATION VIA DITHERING METHODS
         Sijung Yang; University of Illinois at Urbana-Champaign
         Andrew C. Singer; University of Illinois at Urbana-Champaign
 
TA8b1-3: MILLIMETER WAVE MASSIVE MIMO DOWNLINK PER GROUP COMMUNICATIONS WITH HYBRID LINEAR PRECODING
         Thomas Ketseoglou; California State Polytechnic University, Pomona
         Matthew Valenti; West Virginia University
         Ender Ayanoglu; University of California, Irvine
 
TA8b1-4: JOINT POWER AND RESOURCE ALLOCATION OF D2D COMMUNICATION WITH LOW-RESOLUTION ADC
         Muralikrishnan Srinivasan; Indian Institute of Technology, Madras
         Athira Subhash; Indian Institute of Technology, Madras
         Sheetal Kalyani; Indian Institute of Technology, Madras
 
TA8b1-5: NEAR-OPTIMAL QUANTIZATION FOR LOS MIMO
         Ahmet Dundar Sezer; University of California, Santa Barbara
         Upamanyu Madhow; University of California, Santa Barbara
 
TA8b1-6: COMPARASION-LIMITED VECTOR QUANTIZATION
         Joseph Chataignon; Université Jean Monnet, Saint-Étienne
         Stefano Rini; National Chiao Tung University
 
TA8b1-7: SPATIAL PROPERTIES OF INDUSTRIAL WIRELESS ULTRA-RELIABLE LOW-LATENCY COMMUNICATION MIMO LINKS
         Stefan Zelenbaba; Austrian Institute of Technology
         Markus Hofer; Austrian Institute of Technology
         David Löschenbrand; Austrian Institute of Technology
         Georg Kail; Siemens Aktiengesellschaft Österreich
         Martin Schiefer; Siemens Aktiengesellschaft Österreich
         Thomas Zemen; Austrian Institute of Technology
 
TA8b1-8: LEARNING-BASED DELAY OPTIMIZATION FOR SELF-BACKHAULED MILLIMETER WAVE CELLULAR NETWORKS
         Manan Gupta; University of Texas at Austin
         Anil Rao; Nokia
         Eugene Visotsky; Nokia
         Mark C. Cudak; Nokia
         Amitava Ghosh; Nokia
         Jeffrey G. Andrews; University of Texas at Austin
 
TA8b1-9: ENERGY OPTIMIZATION FOR INCREMENTAL REDUNDANCY HYBRID-ARQ
         Bentao Zhang; University of California, San Diego
         Pamela Cosman; University of California, San Diego
         Larry Milstein; University of California, San Diego
 
TA8b1-10: SECURE REGULARIZED ZERO FORCING FOR MULTIUSER MIMOME CHANNELS
         Saba Asaad; Friedrich-Alexander Universität Erlangen-Nürnberg
         Ali Bereyhi; Friedrich-Alexander Universität Erlangen-Nürnberg
         Ralf R. Müller; Friedrich-Alexander Universität Erlangen-Nürnberg
         Rafael F. Schaefer; Technical University of Berlin

</span>

</details>

* TA8b2: Learning and Estimation in Imaging	Merrill

<details>
  <summary><span style="font-size:0.8em;color: #b15928"> Details </span></summary>

<span style="font-size:0.8em">

TA8b2-1: RANK-REGULARIZED MEASUREMENT OPERATORS FOR COMPRESSIVE IMAGING
         Suhas Lohit; Arizona State University
         Rajhans Singh; Arizona State University
         Kuldeep Kulkarni; Adobe Research
         Pavan Turaga; Arizona State University
 
TA8b2-2: SELECTING PARAMETERS FOR IMAGE PROCESSING ALGORITHMS: A CASE STUDY USING RETINAL IMAGE SEGMENTATION
         Chandrika Kamath; Lawrence Livermore National Laboratory
 
TA8b2-3: CRYSTAL CENTERING USING DEEP LEARNING IN X-RAY CRYSTALLOGRAPHY
         Jonathan Schurmann; Lund University
         Isaak Lindhe; Lund University
         Jorn W. Janneck; Lund University
         Gustavo Lima; Lund University
         Zdenek Matej; Lund University
 
TA8b2-4: OPTIMIZING A COMPRESSIVE IMAGERS FOR MACHINE LEARNING TASKS
         Brian Redman; Sandia National Laboratories
         Meghan Galiardi; Sandia National Laboratories
         Tu-Thack Quach; Sandia National Laboratories
         Charles LaCasse; Sandia National Laboratories
         Amber Dagel; Sandia National Laboratories
         Gabriel Birch; Sandia National Laboratories
 
TA8b2-5: COMPUTER GRAPHICS MEETS ESTIMATION THEORY: PARAMETER ESTIMATION LOWER BOUNDS FOR PLENOPTIC IMAGING SYSTEMS
         Abhinav V. Sambasivan; University of Minnesota, Twin-Cities
         Richard Paxman; Maxar
         Jarvis Haupt; University of Minnesota, Twin-Cities
 
TA8b2-6: UNSUPERVISED LEARNING OF NONLINEAR MIXTURES: IDENTIFIABILITY AND ALGORITHM
         Bo Yang; University of Minnesota
         Xiao Fu; Oregon State University
         Nicholas D. Sidiropoulos; University of Virginia
         Kejun Huang; University of Florida
 
TA8b2-7: LOW-RANK MATRIX COMPLETION FOR DISTRIBUTED AMBIENT NOISE IMAGING SYSTEMS
         Danye Xu; University of Science and Technology of China
         Bingqing Song; University of Science and Technology of China
         Rui Zhang; Georgia Institute of Technology
         Yao Xie; Georgia Institute of Technology
         Sin-Mei Wu; University of Utah
         Fan-Chi Lin; University of Utah
         WenZhan Song; University of Georgia
 
TA8b2-8: COMPRESSIVE SAR IMAGE RECOVERY AND CLASSIFICATION VIA CNNS
         Michael Wharton; Ohio State University
         Edward Reehorst; Ohio State University
         Philip Schniter; Ohio State University

</span>

</details>

* TA8b3: Cognitive Radio, Spectrum Sharing, Localization, and Radar	Merrill

<details>
  <summary><span style="font-size:0.8em;color: #b15928"> Details </span></summary>

<span style="font-size:0.8em">

TA8b3-1: DETECTION AND LOCALIZATION OF MULTIPLE TARGETS IN IEEE 802.11AD NETWORKS
         Emanuele Grossi; Università degli Studi di Cassino e del Lazio Meridionale
         Marco Lops; Università degli Studi di Napoli
         Luca Venturino; Università degli Studi di Cassino e del Lazio Meridionale
 
TA8b3-2: MULTI-USER MABS WITH USER DEPENDENT REWARDS FOR UNCOORDINATED SPECTRUM ACCESS
         Akshayaa Magesh; University of Illinois at Urbana-Champaign
         Venugopal Veeravalli; University of Illinois at Urbana-Champaign
 
TA8b3-3: SPARSE CODE-DOMAIN NON-ORTHOGONAL RANDOM ACCESS WITH TURBO-PEELING DECODER
         Johannes Dommel; Fraunhofer Heinrich Hertz Institute
         Zoran Utkovski; Fraunhofer Heinrich Hertz Institute
         Lars Thiele; Fraunhofer Heinrich Hertz Institute
         Slawomir Stanczak; Fraunhofer Heinrich Hertz Institute
 
TA8b3-4: MULTI-MODE AUTONOMOUS COMMUNICATION SYSTEMS
         Miguel Calvo-Fullana; University of Pennsylvania
         Fikadu T. Dagefu; US Army Research Laboratory
         Brian M. Sadler; US Army Research Laboratory
         Alejandro Ribeiro; University of Pennsylvania
 
TA8b3-5: HIGH-PERFORMANCE DEEP LEARNING CLASSIFICATION FOR RADIO SIGNALS
         Ahsen Uppal; George Washington University
         Philip Sallee; Raytheon
         Michael Hegarty; George Washington University
         William Haftel; George Washington University
         Howie Huang; George Washington University
         Brown Cribbs; Raytheon
 
TA8b3-6: DEEP MODULATION RECOGNITION IN AN UNKNOWN ENVIRONMENT
         Lei Li; University of Electronic Science and Technology of China
         Qihang Peng; University of Electronic Science and Technology of China
         Pamela Cosman; University of California, San Diego
         Laurence Milstein; University of California, San Diego
 
TA8b3-7: UWB RADAR VIBROMETRY: AN RF MICROPHONE
         Yu Rong; Arizona State University
         Sharanya Srinivas; Arizona State University
         Adarsh Venkataramani; Arizona State University
         Daniel Bliss; Arizona State University
 
TA8b3-8: REDUCING THE COMPLEXITY OF FINGERPRINTING-BASED POSITIONING USING LOCALITY-SENSITIVE HASHING
         Larry Tang; Cornell University
         Ramina Ghods; Cornell University
         Christoph Studer; Cornell University

</span>

</details>

* TA8b4: System Analysis, Performance Evaluation, and Optimization	Merrill

<details>
  <summary><span style="font-size:0.8em;color: #b15928"> Details </span></summary>

<span style="font-size:0.8em">

TA8b4-1: EMPIRICAL AND SIMULATED PERFORMANCE EVALUATION OF DISTRIBUTED MASSIVE MIMO
         David Löschenbrand; AIT Austrian Institute of Technology
         Markus Hofer; AIT Austrian Institute of Technology
         Benjamin Rainer; AIT Austrian Institute of Technology
         Thomas Zemen; AIT Austrian Institute of Technology
 
TA8b4-3: THE EFFECT OF CHANNEL UNCERTAINTY ON MAX-MIN GOODPUT
         Mostafa Medra; University of Toronto
         Andrew Eckford; York University
         Raviraj Adve; University of Toronto
 
TA8b4-4: THROUGHPUT AND DELAY DRIVEN ACCESS POINT PLACEMENT
         Govind R. Gopal; University of California, San Diego
         Bhaskar D. Rao; University of California, San Diego
 
TA8b4-5: OFF-GRID AWARE SPATIAL COVARIANCE ESTIMATION IN MMWAVE COMMUNICATIONS
         Chethan Kumar Anjinappa; North Carolina State University
         Ali Cafer Gurbuz; Mississippi State University
         Yavuz Yapici; North Carolina State University
         Ismail Guvenc; North Carolina State University
 
TA8b4-6: FUNDAMENTAL LIMITATIONS OF LARGE ANTENNA ARRAYS FOR MILLIMETER WAVE SYSTEMS
         Vasanthan Raghavan; Qualcomm
         Ali Tassoudji; Qualcomm
         Yu-Chin Ou; Qualcomm
         Kobi Ravid; Qualcomm
         Ozge Koymen; Qualcomm
         Junyi Li; Qualcomm
 
TA8b4-7: ON A FUNDAMENTAL PREDICTABILITY-DISTORTION TRADE-OFF IN DECENTRALIZED DECISIONAL NETWORKS
         Lorenzo Miretti; EURECOM
         Paul de Kerret; EURECOM
         David Gesbert; EURECOM
 
TA8b4-8: MULTI-USER MASSIVE MIMO PROPERTIES IN URBAN-MACRO CHANNEL MEASUREMENTS
         Lars Thiele; Fraunhofer Heinrich Hertz Institute
         Martin Kurras; Fraunhofer Heinrich Hertz Institute
         Moritz Lossow; Fraunhofer Heinrich Hertz Institute
         Leszek Raschkowski; Fraunhofer Heinrich Hertz Institute
         Stephan Jaeckel; Fraunhofer Heinrich Hertz Institute
 
TA8b4-9: CHARACTERIZATION OF THE MSE REGION UNDER A TOTAL POWER BUDGET FOR ASYNCHRONOUS TWO-WAY RELAY NETWORKS
         Razgar Rahimi; University of Ontario Institute of Technology
         Shahram ShahbazPanahi; University of Ontario Institute of Technology
         Bjorn Ottersten; University of Luxembourg
 
TA8b4-10: A COMPARATIVE STUDY OF ANALOG/DIGITAL SELF-INTERFERENCE CANCELLATION FOR FULL DUPLEX RADIOS
         Jong Woo Kwak; Yonsei University
         Min Soo Sim; Yonsei University
         In-Woong Kang; Agency for Defense Development
         Jong Sung Park; Agency for Defense Development
         Jaedon Park; Agency for Defense Development
         Chan-Byoung Chae; Yonsei University
 

</span>

</details>

#### 12:00 - 13:00 Lunch	Crocker Dining Hall
#### 13:30 - 15:10
* TP1a: Vehicle-to-Everything (V2X) Communication for Emerging Applications (Invited)	Nautilus

<details>
  <summary><span style="font-size:0.8em;color: #b15928"> Details </span></summary>

<span style="font-size:0.8em">

TP1a-1: V2X COMMUNICATIONS: FROM LTELTERELEASE 14 TOWARDS UNIFIED MMWAVE VEHICULAR COMMUNICATIONS AND RADAR SENSING
         Vitaly Petrov; Tampere University of Technology
         Gabor Fodor; Ericsson Research
         Sergey Andreev; Tampere University of Technology
         Hieu Do; Ericsson Research
         Henrik Sahlin; Ericsson Research
 
TP1a-2: CONGESTION CONTROL MECHANISMS IN IEEE 802.11P AND SHORT-RANGE LTE-V2X
         Alessandro Bazzi; CNR
 
TP1a-3: OPTIMAL DECEPTION ATTACK ON NETWORKED VEHICULAR CYBER PHYSICAL SYSTEMS
         Arpan Chattopadhyay; Indian Institute of Technology, Delhi
         Urbashi Mitra; University of Southern California
         Erik Strom; Chalmers University of Technology
 
TP1a-4: A HYBRID SENSING AND REINFORCEMENT LEARNING APPROACH FOR SCHEDULING VEHICLE-TO-VEHICLE COMMUNICATIONS
         Taylan Sahin; Huawei
         Mate Boban; Huawei
         Ramin Khalili; Huawei
         Adam Wolisz; Technical University of Berlin

</span>

</details>

* TP2a: Self-Interference Cancellation in Radio Frequency Transceivers * (Invited) 	Surf & Sand

<details>
  <summary><span style="font-size:0.8em;color: #b15928"> Details </span></summary>

<span style="font-size:0.8em">

TP2a-1: A NEURAL NETWORK APPROACH FOR THE CANCELLATION OF THE SECOND-ORDER-INTERMODULATION DISTORTION IN 4G/5G TRANSCEIVERS
         Oliver Ploder; Johannes Kepler University Linz
         Christian Motz; Johannes Kepler University Linz
         Thomas Paireder; Johannes Kepler University Linz
         Mario Huemer; Johannes Kepler University Linz
 
TP2a-2: ADVANCED MACHINE LEARNING TECHNIQUES FOR SELF-INTERFERENCE CANCELLATION IN FULL-DUPLEX RADIOS
         Andreas Toftegaard Kristensen; Ecole polytechnique fédérale de Lausanne (EPFL)
         Andreas Burg; Ecole polytechnique fédérale de Lausanne (EPFL)
         Alexios Balatsoukas-Stimming; Ecole polytechnique fédérale de Lausanne (EPFL)
 
TP2a-3: SELF INTERFERENCE CHANNEL CHARACTERIZATION FOR FULL DUPLEX RECONFIGURABLE ANTENNA BASED SYSTEMS
         Sergey Shaboyan; University of California, Irvine
         Alireza Behbahani; University of California, Irvine
         Ahmed Eltawil; University of California, Irvine
 
TP2a-4: HIGH-ACCURACY RADIO SENSING IN 5G NEW RADIO NETWORKS: PROSPECTS AND SELF-INTERFERENCE CHALLENGE
         Carlos Baquero Barneto; Tampere University
         Matias Turunen; Tampere University
         Sahan Liyanaarachchi; Tampere University
         Lauri Anttila; Tampere University
         Alberto Brihuega; Tampere University
         Taneli Riihonen; Tampere University
         Mikko Valkama; Tampere University

</span>

</details>

* TP3a: MIMO and Cognitive Radar (Invited)	Triton

<details>
  <summary><span style="font-size:0.8em;color: #b15928"> Details </span></summary>

<span style="font-size:0.8em">

TP3a-1: WAVEFORM DESIGN FOR ONE-BIT RADAR SYSTEMS UNDER UNCERTAIN INTERFERENCE STATISTICS
         Aria Ameri; University of Illinois at Chicago
         Arindam Bose; University of Illinois at Chicago
         Mojtaba Soltanalian; University of Illinois at Chicago
 
TP3a-2: PERIODIC BINARY WAVEFORM DESIGN FOR MIMO RADAR
         Ronghao Lin; University of Science and Technology of China
         Jian Li; University of Florida
 
TP3a-3: JOINT RADAR-COMMUNICATIONS RECEIVER PERFORMANCE BOUNDS FOR A MIMO GMTI RADAR
         Owen Ma; Arizona State University
         Alex Chiriyath; Arizona State University
         Daniel Bliss; Arizona State University
 
TP3a-4: OPTIMAL ANTENNA SELECTION SEQUENCE FOR MIMO RADAR
         Shahar Villeval; Ben-Gurion University of the Negev
         Igal Bilik; General Motors
         Joseph Tabrikian; Ben Gurion University of the Negev

</span>

</details>

* TP4a: Machine Learning and Inverse Problems (Invited)	Heather

<details>
  <summary><span style="font-size:0.8em;color: #b15928"> Details </span></summary>

<span style="font-size:0.8em">

TP4a-1: DEEP NEURAL NETWORKS MOTIVATED BY PDES
         Lars Ruthotto; Emory University
 
TP4a-2: CRYO-ELECTRON MICROSCOPY IMAGE ANALYSIS USING MULTI-FREQUENCY VECTOR DIFFUSION MAPS
         Yifeng Fan; University of Illinois at Urbana-Champaign
         Zhizhen Zhao; University of Illinois at Urbana-Champaign
 
TP4a-3: SOLVING PDES WITH DEEP LEARNING
         Yuehaw Khoo; Stanford University
 
TP4a-4: AN ARCHITECTURE FOR WAVES
         Ivan Dokmanic; University of Illinois at Urbana Champaign
         Konik Kothari; University of Illinois at Urbana Champaign
         Maarten de Hoop; Rice University

</span>

</details>

* TP5a: Deep Learning and Neuroscience (Invited)	Scripps

<details>
  <summary><span style="font-size:0.8em;color: #b15928"> Details </span></summary>

<span style="font-size:0.8em">

TP5a-1: MODELING VARIABILITY IN BRAIN ARCHITECTURE BY COMBINING DISCRIMINATIVE CONVOLUTIONAL NEURAL NETWORKS WITH UNSUPERVISED LEARNING
         Aishwarya Balwani; Georgia Institute of Technology
         Eva Dyer; Georgia Institute of Technology
          ;
 
TP5a-2: REVERSE ENGINEERING NEURAL NETWORKS TO UNDERSTAND HOW TO REVERSE ENGINEER BRAINS
         Konrad Kording; University of Pennsylvania
 
TP5a-3: SYNTHETIC POWER ANALYSES; EMPIRICAL EVALUATION AND APPLICATION TO COGNITIVE NEUROIMAGING.
         Peiye Zhuang; University of Illinois at Urbana-Champaign
         Bliss Chapman; University of Illinois at Urbana-Champaign
         Ran Li; University of Illinois at Urbana-Champaign
         Sanmi Koyejo; University of Illinois at Urbana-Champaign
 
TP5a-4: TRANSFER LEARNING ANALYSIS OF IMAGE PROCESSING WORKFLOWS FOR ELECTRON MICROSCOPY DATASETS
         Erik Johnson; Johns Hopkins University Applied Physics Laboratory
         Luis Rodriguez; Johns Hopkins University Applied Physics Laboratory
         Raphael Norman-Tenazas; Johns Hopkins University Applied Physics Laboratory
         William Gray-Roncal; Johns Hopkins University Applied Physics Laboratory

</span>

</details>

* TP6a: Sparse Arrays, Non-convex Inverse Problems, and Fundamental Limits (Invited)	Toyon

<details>
  <summary><span style="font-size:0.8em;color: #b15928"> Details </span></summary>

<span style="font-size:0.8em">

TP6a-1: ANALOG BEAMFORMING FOR ACTIVE IMAGING USING SPARSE ARRAYS
         Robin Rajamäki; Aalto University
         Sundeep Chepuri; Indian Institute of Science
         Visa Koivunen; Aalto University
 
TP6a-2: SPARSE ARRAY DESIGN UTILIZING MATRIX COMPLETION
         Syed Ali Hamza; Villanova University
         Moeness Amin; Villanova University
 
TP6a-3: REDUCED DIMENSION BEAMSPACE DESIGN FORMING NESTED ARRAY FOR MMWAVE CHANNEL ESTIMATION
         Rohan R Pote; University of California, San Diego
         Bhaskar D Rao; University of California, San Diego
 
TP6a-4: THE GEOMETRY OF ORTHOGONAL DICTIONARY LEARNING USING L1 MINIMIZATION
         Qiuwei Li; Colorado School of Mines
         Zhihui Zhu; Johns Hopkins University
         Michael Wakin; Colorado School of Mines
         Gongguo Tang; Colorado School of Mines

</span>

</details>

* TP7a: Machine Learning and Optimization in Distributed Networks (Invited) (Acacia)

<details>
  <summary><span style="font-size:0.8em;color: #b15928"> Details </span></summary>

<span style="font-size:0.8em">

TP7a-1: WALKMEN: A MULTI-RANDOM-WALK ALGORITHM FOR DECENTRALIZED OPTIMIZATION
         Xianghui Mao; Tsinghua University
         Wotao Yin; Alibaba Group
         Kun Yuan; University of California, Los Angeles
 
TP7a-2: UNDERSTANDING THE LIMITS OF COMMUNICATION EFFICIENT DISTRIBUTED TRAINING
         Hongyi Wang; University of Wisconsin-Madison
         Saurabh Agarwal; University of Wisconsin-Madison
         Zachary Charles; University of Wisconsin-Madison
         Shivaram Venkataraman; University of Wisconsin-Madison
         Dimitris Papailiopoulos; University of Wisconsin-Madison
 
TP7a-3: FEDERATED LEARNING WITH AUTOTUNED COMMUNICATION-EFFICIENT SECURE AGGREGATION
         Keith Bonawitz; Google
         Fariborz Salehi; California Institute of Technology / Google
         Jakub Konečný; Google
         Brendan McMahan; Google
         Marco Gruteser; Google
 
TP7a-4: FED-DANE: A FEDERATED DISTRIBUTED APPROXIMATE NEWTON METHOD
         Anit Kumar Sahu; Bosch Center for Artificial Intelligence
         Virginia Smith; Carnegie Mellon University

</span>

</details>

* TP8a1: Coding and Caching	Merrill

<details>
  <summary><span style="font-size:0.8em;color: #b15928"> Details </span></summary>

<span style="font-size:0.8em">

TP8a1-1: AN OPTIMIZATION FRAMEWORK FOR SECURE DELIVERY IN HETEROGENEOUS CODED CACHING SYSTEMS
         Ahmed A. Zewail; Pennslyvania State University
         Abdelrahman M. Ibrahim; Pennslyvania State University
         Aylin Yener; Pennslyvania State University
 
TP8a1-2: PREDICTION OF CONTENT POPULARITY USING RECOMMENDATION IN CACHING NETWORKS
         Youssef Ahmed; Wireless Intelligent Networks Center (WINC), Nile University
         Sameh Hosny; Wireless Intelligent Networks Center (WINC), Nile University
         John Tadrous; Gonzaga University
         Mohammed Nafie; Wireless Intelligent Networks Center (WINC), Nile University
         Mohamed Salah Ibrahim; University of Virginia
 
TP8a1-3: BRIDGING THE GAP BETWEEN MULTIPLEXING AND DIVERSITY IN FINITE SNR MULTIPLE ANTENNA CODED CACHING
         Eleftherios Lampiris; Eurecom
         Petros Elia; Eurecom
         Giuseppe Caire; Technical University of Berlin
 
TP8a1-4: SUBPACKETIZATION LEVEL IN OPTIMAL PLACEMENT FOR CODED CACHING WITH NONUNIFORM FILE POPULARITIES
         Yong Deng; University of Ontario Institute of Technology
         Min Dong; University of Ontario Institute of Technology
 
TP8a1-5: JOINT USER CLUSTERING AND CONTENT CACHING WITH HETEROGENOUS USER CONTENT PREFERENCES
         Feng Chiu; National Chiao Tung University
         Ting-Yu Kuo; National Chiao Tung University
         Feng-Tsun Chien; National Chiao Tung University
         Wan-Jen Huang; National Sun Yat-sen University
         Min-Kuan Chang; National Chung Hsing University
 
TP8a1-6: HARQ STRATEGIES FOR RELAY SYSTEMS WITH LIMITED FEEDBACK
         Mai Zhang; Purdue University
         Borja Peleato; Purdue University
 
TP8a1-7: CORRECTING DELETIONS IN PROBABILISTIC NON-BINARY SEGMENTED BURST DELETION CHANNELS
         Chen Yi; New Jersey Institute of Technology
         Joerg Kliewer; New Jersey Institute of Technology
 
TP8a1-8: EFFICIENT INFORMATION RECONCILIATION FOR ENERGY-TIME ENTANGLEMENT QUANTUM KEY DISTRIBUTION
         Siyi Yang; University of California, Los Angeles
         Murat Can Sarihan; University of California, Los Angeles
         Kai-Chi Chang; University of California, Los Angeles
         Chee Wei Wong; University of California, Los Angeles
         Lara Dolecek; University of California, Los Angeles
 
TP8a1-9: ONLINE CACHING POLICY WITH USER PREFERENCES AND TIME-DEPENDENT REQUESTS: A REINFORCEMENT LEARNING APPROACH
         Mohammad Hatami; University of Oulu
         Markus Leinonen; University of Oulu
         Marian Codreanu; Linköping University

</span>

</details>

* TP8a2: Multi-Sensor Parameter Estimation	Merrill

<details>
  <summary><span style="font-size:0.8em;color: #b15928"> Details </span></summary>

<span style="font-size:0.8em">

TP8a2-1: TIME-OF-ARRIVAL ESTIMATION IN MULTIPATH CHANNELS FROM MULTIBAND SAMPLES IN NONUNIFORM NOISE
         Tarik Kazaz; Delft University of Technology
         Gerard Janssen; Delft University of Technology
         Alle-Jan van der Veen; Delft University of Technology
 
TP8a2-2: SOURCE ENUMERATION AND ROBUST VOICE ACTIVITY DETECTION IN WIRELESS ACOUSTIC SENSOR NETWORKS
         Tanuj Hasija; Universitaet Paderborn
         Martin Gölz; Universitaet Darmstadt
         Michael Muma; Universitaet Darmstadt
         Peter Schreier; Universitaet Paderborn
         Abdelhak Zoubir; Universitaet Darmstadt
 
TP8a2-3: ADAPTIVE BEAMFORMING AND CHANNEL ESTIMATION FOR MMWAVE INITIAL ALIGNMENT
         Nancy Ronquillo; University of California, San Diego
         Sung-En Chiu; University of California, San Diego
         Tara Javidi; University of California, San Diego
 
TP8a2-4: NON-ITERATIVE SUBSPACE-BASED METHOD FOR ESTIMATING AR MODEL PARAMETERS IN THE PRESENCE OF WHITE NOISE WITH UNKNOWN VARIANCE
         Majdoddin Esfandiari; Aalto University
         Sergiy A. Vorobyov; Aalto University
         Mahmood Karimi; Shiraz University
 
TP8a2-5: ASYMPTOTICALLY EFFICIENT ESTIMATION OF SEA CLUTTER INTENSITY MODEL PARAMETERS USING LOG-BASED MOMENTS
         Judith Northrop; Northrop Grumman
         Antonia Papandreou-Suppappola; Arizona State University
 
TP8a2-6: TWO-CHANNEL PASSIVE DETECTION OF CYCLOSTATIONARY SIGNALS IN NOISE WITH SPATIO-TEMPORAL STRUCTURE
         Stefanie Horstmann; University of Paderborn
         David Ramirez; Universidad Carlos III de Madrid
         Peter J. Schreier; University of Paderborn
         Aaron Pries; University of Paderborn
 
TP8a2-7: TRANSVERSAL VELOCITY MEASUREMENT OF MULTIPLE TARGETS BASED ON SPATIAL INTERFEROMETRIC AVERAGING
         Xiangrong Wang; Beihang University
         Pengcheng Wang; Beihang University
         Victor Chen; Ancortek Inc.
 
TP8a2-8: HYPERSPECTRAL IMAGE COMPRESSION AND SUPER-RESOLUTION USING TENSOR DECOMPOSITION LEARNING
         Anastasia Aidini; Foundation for Research and Technology-Hellas
         Michalis Giannopoulos; Foundation for Research and Technology-Hellas
         Anastasia Pentari; Foundation for Research and Technology-Hellas
         Konstantina Fotiadou; Foundation for Research and Technology-Hellas
         Grigorios Tsagkatakis; Foundation for Research and Technology-Hellas
         Panagiotis Tsakalides; Foundation for Research and Technology-Hellas

</span>

</details>

* TP8a3: Array Signaling, Calibration, and Processing	Merrill

<details>
  <summary><span style="font-size:0.8em;color: #b15928"> Details </span></summary>

<span style="font-size:0.8em">

TP8a3-1: IN-FIELD CALIBRATION OF ANTENNAS OR ANTENNA ARRAYS USING WAVEFIELD MODELING
         Robert Pöhlmann; German Aerospace Center (DLR)
         Siwei Zhang; German Aerospace Center (DLR)
         Armin Dammann; German Aerospace Center (DLR)
 
TP8a3-2: THE EXTENDED MANIFOLD FOR DIVERSELY POLARIZED ANTENNA ARRAYS
         Benjamin Friedlander; University of California, Santa Cruz
 
TP8a3-3: ANTENNA ARRAY CALIBRATION WITH MODEL MISMATCH
         Benjamin Friedlander; University of California, Santa Cruz
 
TP8a3-4: BLIND CALIBRATION OF SENSOR ARRAYS WITH BROAD BAND SOURCES
         Krishnaprasad Nambur Ramamohan; Delft University of Technology
         Sundeep Prabhakar Chepuri; Indian Institute of Science
         Daniel Fernandez Comesana; Microflown Technologies
         Geert Leus; Delft University of Technology
 
TP8a3-5: A NOVEL SIGNALING STRATEGY FOR DUAL-FUNCTION MIMO RADAR-COMMUNICATIONS WITH CONSTANT MODULUS AND DIRECTIONAL PATTERN
         Xiangrong Wang; Beihang University
 
TP8a3-6: COHERENT JAMMER MITIGATION WITH TARGET SIGNATURES USING LFM AND FRANK-CODED WAVEFORMS
         Heitor Albuquerque; Naval Postgraduate School
         Ric Romero; Naval Postgraduate School
 
TP8a3-7: NOVEL NEIGHBORHOOD BLANKER PROCESSING OF RADAR SIGNALS FOR ENHANCED DELAY-DOPPLER RESOLUTION
         I-Fan Lin; Purdue University
         Mark R. Bell; Purdue University
 
TP8a3-8: A MULTI-CHANNEL FEEDFORWARD ANC WITH FXLMS ALGORITHM FOR AVIATION-NOISE SUPPRESSION
         Chadaporn Sookpuwong; King Mongkut's Institute of Technology Ladkrabang
         Chow Chompoo-Inwai; King Mongkut's Institute of Technology Ladkrabang

</span>

</details>

* TP8a4: Biomedical Imaging and Signal Processing	Merrill

<details>
  <summary><span style="font-size:0.8em;color: #b15928"> Details </span></summary>

<span style="font-size:0.8em">

TP8a4-1: AN OPTIMAL SPATIOTEMPORAL NOISE FILTER FOR NI/OCT IMAGING
         James Glenn-Anderson; Supercomputer Systems, Inc.
         Ying Yu; Supercomputer Systems, Inc.
 
TP8a4-2: PERCEPTUALLY DRIVEN CONDITIONAL GAN FOR FOURIER PTYCHOGRAPHY
         Abhinau Kumar V; Indian Institute of Technology, Hyderabad
         Shashank Gupta; Indian Institute of Technology, Hyderabad
         Sumohana Channappayya; Indian Institute of Technology, Hyderabad
 
TP8a4-3: IMAGING WITH DISTRIBUTED LENSLESS LINE SENSORS
         Yucheng Zheng; University of California, Riverside
         Salman Asif; University of California, Riverside
 
TP8a4-4: BRADYCARDIA PREDICTION IN PRETERM INFANTS USING NONPARAMETRIC KERNEL DENSITY ESTIMATION
         Subhasish Das; Arizona State University
         Bahman Moraffah; Arizona State University
         Sandeep K.S. Gupta; Arizona State University
         Antonia Papandreou-Suppappola; Arizona State University
 
TP8a4-5: MODIFIED TIME DELAY OF ARRIVAL FOR BIOMEDICAL AND ENVIRONMENTAL APPLICATIONS
         Chinmay Sahu; Clarkson University
         Mahesh Banavar; Clarkson University
         Jie Sun; Clarkson University
 
TP8a4-6: OFFLINE FAULT DETECTION IN GENE REGULATORY NETWORKS USING NEXT-GENERATION SEQUENCING DATA
         Seyede Fatemeh Ghoreishi; Texas A&M University
         Mahdi Imani; George Washington University
 
TP8a4-7: ESTIMATING THREE-DIMENSIONAL KNEE POSITIONS AND ROTATIONS
         April McPherson; Mayo Clinic
         Christopher Felton; Mayo Clinic
         Barry Gilbert; Mayo Clinic
         Rena Hale; Mayo Clinic
         Nathan Schilaty; Mayo Clinic
         Timothy Hewett; Ohio State University
         David Holmes, III; Mayo Clinic
         Clifton Haider; Mayo Clinic
 
TP8a4-8: FINITE-TIME BEHAVIOR OF K-MER FREQUENCIES AND WAITING TIMES IN NOISY-DUPLICATION SYSTEMS
         Hao Lou; University of Virginia
         Farzad Farnoud; University of Virginia
 
TP8a4-9: COMPLETE FIX-FREE CODES FOR THE STATISTICAL DICTIONARY-BASED STRING MATCHING PROBLEM
         Meer Suri; National Chiao Tung University
         Stefano Rini; National Chiao Tung University

</span>

</details>

#### 15:30 - 17:35
* TP1b: Reliable and Low-Latency MIMO Communication (Invited)	Nautilus

<details>
  <summary><span style="font-size:0.8em;color: #b15928"> Details </span></summary>

<span style="font-size:0.8em">

TP1b-1: ULTRA-RELIABLE LOW-LATENCY COMMUNICATIONS IN MASSIVE MIMO
         Alexandru-Sabin Bana; Aalborg University
         Luca Sanguinetti; University of Pisa
         Elisabeth de Carvalho; Aalborg University
         Petar Popovski; Aalborg University
 
TP1b-2: SHORT-PACKET TRANSMISSION OVER A BIDIRECTIONAL MASSIVE MIMO LINK
         Yasaman Ettefagh; Chalmers University of Technology
         Johan Östman; Chalmers University of Technology
         Giuseppe Durisi; Chalmers University of Technology
 
TP1b-3: LARGE APERTURE ANTENNA ARRAY DESIGN FOR CELLULAR MASSIVE MIMO
         Stefan Pratschner; Technische Universitaet Wien
         David Löschenbrand; AIT Austrian Institute of Technology GmbH
         Stefan Schwarz; Technische Universitaet Wien
         Thomas Zemen; AIT Austrian Institute of Technology GmbH
         Markus Rupp; Technische Universitaet Wien
 
TP1b-4: ENHANCING RESOURCE EFFICIENCY OF UPLINK URLLC SYSTEMS VIA SHARED DIVERSITY TRANSMISSIONS AND MULTIPLE ANTENNA PROCESSING
         Radosław Kotaba; Intel Mobile Communications / Aalborg University
         Carles Navarro Manchón; Aalborg University
         Petar Popovski; Aalborg University

</span>

</details>

* TP2b: Signal Processing for UAV/UGV Sensing (Invited)	Surf & Sand

<details>
  <summary><span style="font-size:0.8em;color: #b15928"> Details </span></summary>

<span style="font-size:0.8em">

TP2b-1: RADAR BEAM-PATTERN DESIGN FOR A DRONE SWARM
         Mohammad Alaee-Kerahroodi; SnT, University of Luxembourg
         Kumar Vijay Mishra; University of Iowa
         M. R. Bhavani Shankar; SnT, University of Luxembourg
 
TP2b-2: A COMBINED WAVEFORM-BEAMFORMING DESIGN FOR MILLIMETER-WAVE JOINT COMMUNICATION-RADAR
         Preeti Kumari; University of Texas at Austin
         Nitin Jonathan Myers; University of Texas at Austin
         Sergiy Vorobyov; Aalto University
         Robert Heath; University of Texas at Austin
 
TP2b-3: REMCW: REDUCED BANDWIDTH FMCW RADAR FOR AUTONOMOUS DRIVING
         Kumar Vijay Mishra; University of Iowa
         Zora Slavik; FZI Research Center for Information Technology
         Oliver Bringmann; Eberhard Karls University of Tuebingen
 
TP2b-4: A REINFORCEMENT LEARNING APPROACH FOR MOBILE BEAMFORMING
         Anastasios Dimas; Rutgers, The State University of New Jersey
         Kostas Diamantaras; TEI of Thessaloniki
         Athina Petropulu; Rutgers, The State University of New Jersey
 
TP2b-5: ROBUST SOURCE LOCALIZATION EXPLOITING COLLABORATIVE UAV NETWORK
         Shuimei Zhang; Temple University
         Ammar Ahmed; Temple University
         Yimin Zhang; Temple University

</span>

</details>

* TP3b: MIMO Beamforming and Beamtracking (Invited)	Triton

<details>
  <summary><span style="font-size:0.8em;color: #b15928"> Details </span></summary>

<span style="font-size:0.8em">

TP3b-1: USER-EXPOSURE-CANCELLING BEAMFORMING FOR MULTI-ANTENNA SYSTEMS
         Miguel Castellanos; Purdue University
         Borja Peleato; Purdue University
         David Love; Purdue University
 
TP3b-2: WIDEBAND MILLIMETER-WAVE BEAM TRAINING WITH TRUE-TIME-DELAY ARRAY ARCHITECTURE
         Han Yan; University of California, Los Angeles
         Veljko Boljanovic; University of California, Los Angeles
         Danijela Cabric; University of California, Los Angeles
 
TP3b-3: JOINT POSITION, ORIENTATION AND CHANNEL ESTIMATION AND TRACKING FOR MILLIMETER WAVE CELLULAR SYSTEMS
         Wenqing Zheng; University of Texas at Austin
         Javier Rodriguez-Fernandez; University of Texas at Austin
         Nuria Gonzalez-Prelcic; University of Texas at Austin / University of Vigo
 
TP3b-4: BEAMSPACE LOCAL BEAMFORMING FOR MMWAVE MASSIVE MIMO DOWNLINKS
         Mohammed Abdelghany; University of California, Santa Barbara
         Upamanyu Madhow; University of California, Santa Barbara
         Antti Tolli; University of Oulu
 
TP3b-5: DEEP LEARNING FOR TDD AND FDD MASSIVE MIMO: MAPPING CHANNELS IN SPACE AND FREQUENCY
         Muhammad Alrabeiah; Arizona State University
         Ahmed Alkhateeb; Arizona State University

</span>

</details>

* TP4b: Machine Learning Advances in Computational Imaging (Invited)	Heather

<details>
  <summary><span style="font-size:0.8em;color: #b15928"> Details </span></summary>

<span style="font-size:0.8em">

TP4b-1: LEARNING HOW TO INTERPOLATE FOURIER DATA WITH UNKNOWN AUTOREGRESSIVE STRUCTURE
         Tae Hyung Kim; University of Southern California
         Justin Haldar; University of Southern California
 
TP4b-2: COMPUTATIONAL MICROSCOPY IN SCATTERING MEDIA
         Laura Waller; University of California, Berkeley
 
TP4b-3: SCAN-SPECIFIC RESIDUAL CONVOLUTIONAL NEURAL NETWORKS FOR FAST MRI USING RESIDUAL RAKI
         Chi Zhang; University of Minnesota
         Seyed Amir Hossein Hosseini; University of Minnesota
         Steen Moeller; University of Minnesota
         Sebastian Weingartner; University of Minnesota
         Kamil Ugurbil; University of Minnesota
         Mehmet Akcakaya; University of Minnesota
 
TP4b-4: DEEP LEARNING FOR MUSCULOSKELETAL IMAGE ANALYSIS
         Ismail Irmakci; Ege University
         Neslisah Torosdagli; National Institutes of Health
         Drew Torigian; University of Pennsylvania
         Syed M. Anwar; University of Central Florida
         Ulas Bagci; Ulas Bagci

</span>

</details>

* TP5b: Inference and Learning in Graphs	Scripps

<details>
  <summary><span style="font-size:0.8em;color: #b15928"> Details </span></summary>

<span style="font-size:0.8em">

TP5b-1: OPINION DYNAMICS WITH RANDOM ACTIONS AND A STUBBORN AGENT
         Olle Abrahamsson; Linköping University
         Danyo Danev; Linköping University
         Erik G. Larsson; Linköping University
 
TP5b-2: RANDOMIZED ASYNCHRONOUS RECURSIONS WITH A SINUSOIDAL INPUT
         Oguzhan Teke; California Institute of Technology
         P. P. Vaidyanathan; California Institute of Technology
 
TP5b-3: DECENTRALIZED DYNAMIC ADMM WITH QUANTIZED AND CENSORED COMMUNICATIONS
         Yaohua Liu; University of Science and Technology of China
         Gang Wu; University of Science and Technology of China
         Zhi Tian; George Mason University
         Qing Ling; Sun Yat-Sen University
 
TP5b-4: CAN PRIMAL-DUAL STRATEGIES OUTPERFORM PRIMAL STRATEGIES IN DECENTRALIZED DYNAMIC OPTIMIZATION?
         Wei Xu; University of Science and Technology of China
         Kun Yuan; University of California, Los Angeles
         Wotao Yin; University of California, Los Angeles
         Qing Ling; Sun Yat-Sen University
 
TP5b-5: DISTRIBUTED SPECTRAL RADIUS ESTIMATION IN WIRELESS SENSOR NETWORKS
         Gowtham Muniraju; Arizona State University
         Cihan Tepedelenlioglu; Arizona State University
         Andreas Spanias; Arizona State University

</span>

</details>

* TP6b: AI/Machine Learning Architectures (Invited)	Toyon

<details>
  <summary><span style="font-size:0.8em;color: #b15928"> Details </span></summary>

<span style="font-size:0.8em">

TP6b-1: RRAM-BASED IN-MEMORY COMPUTING FOR EMBEDDED DEEP NEURAL NETWORKS
         Daniel Bankman; Stanford University
         Boris Murmann; Stanford University
 
TP6b-2: VESTI: AN IN-MEMORY COMPUTING PROCESSOR FOR DEEP NEURAL NETWORKS ACCELERATION
         Zhewei Jiang; Columbia University
         Shihui Yin; Arizona State University
         Minkyo Kim; Arizona State University
         Tushar Gupta; Arizona State University
         Mingoo Seok; Columbia University
         Jae-sun Seo; Arizona State University
 
TP6b-3: RETHINKING THE VALUE OF DNN WEIGHT SPARSITY ON HARDWARE: IS IT TRULY BENE?CIAL?
         Yanzhi Wang; Northeastern University
         Deliang Fan; University of Central Florida
 
TP6b-4: IS MY NEURAL NETWORK NEUROMORPHIC?
         Arindam Basu; Nanyang Technological University
         Jyotibdha Acharya; Nanyang Technological University
         Sumon Bose; Nanyang Technological University

</span>

</details>

* TP7b: Optimization Methods in Array Processing	Acacia

<details>
  <summary><span style="font-size:0.8em;color: #b15928"> Details </span></summary>

<span style="font-size:0.8em">

TP7b-1: IMPACT OF SPATIAL CORRELATION IN MIMO RADAR
         Aya Mostafa Ahmed; Ruhr-Universität Bochum
         Aydin Sezgin; Ruhr-Universität Bochum
         Eduard A. Jorswieck; Technical University of Dresden
 
TP7b-2: JOINT OPTIMIZATION OF WAVEFORM COVARIANCE MATRIX AND ANTENNA SELECTION FOR MIMO RADAR
         Arindam Bose; University of Illinois at Chicago
         Shahin Khobahi; University of Illinois at Chicago
         Mojtaba Soltanalian; University of Illinois at Chicago
 
TP7b-3: PRACTICALLY CONSTRAINED WAVEFORM DESIGN FOR MIMO RADAR IN THE PRESENCE OF MULTIPLE TARGETS
         Xianxiang Yu; University of Electronic Science and Technology of China
         Khaled Alhujaili; Pennsylvania State University, University Park
         Guolong Cui; University of Electronic Science and Technology of China
         Vishal Monga; Pennsylvania State University, University Park
 
TP7b-4: RFI MITIGATION FOR ONE-BIT UWB RADAR SYSTEMS
         Tianyi Zhang; University of Florida
         Jiaying Ren; University of Florida
         Christopher Gianelli; University of Florida
         Jian Li; University of Florida
 
TP7b-5: RESOURCE MANAGEMENT FOR MULTIFUNCTION MULTICHANNEL COGNITIVE RADARS
         Mahdi Shaghaghi; Complementary AI Systems Corp.
         Raviraj S. Adve; University of Toronto
         Zhen Ding; Defence R&D Canada

</span>

</details>

* TP8b1: Architectures for Arithmetic and Signal Processing Systems	Merrill

<details>
  <summary><span style="font-size:0.8em;color: #b15928"> Details </span></summary>

<span style="font-size:0.8em">

TP8b1-1: FPGA FABRIC CONSCIOUS DESIGN AND IMPLEMENTATION OF SPEED-AREA EFFICIENT SIGNED DIGIT ADD-SUBTRACT LOGIC THROUGH PRIMITIVE INSTANTIATION
         Ayan Palchaudhuri; Indian Institute of Technology, Kharagpur
         Anindya Sundar Dhar; Indian Institute of Technology, Kharagpur
 
TP8b1-2: THE EFFECTS OF ARITHMETIC ROUNDOFF ERROR ON THE LEVY FIRE FLY ALGORITHM WHEN USED IN COUPLED FORM ADAPTIVE FILTER STRUCTURES
         Magni Hussain; Pennsylvania State University
         William Jenkins; Pennsylvania State University
         Chandraseckar Radhakrishnan; University of Illinois
 
TP8b1-3: HARDWARE IMPLEMENTATION OF DISCRETE HIRSCHMAN TRANSFORM CONVOLUTION USING DISTRIBUTED ARITHMETIC
         Dingli Xue; Florida State University
         Linda DeBrunner; Florida State University
         Victor DeBrunner; Florida State University
 
TP8b1-4: A PARAMETERIZED AND MINIMAL RESOURCE SOFT PROCESSOR FOR PROGRAMMABLE LOGIC
         Christopher Felton; Mayo Clinic
         Barry Gilbert; Mayo Clinic
         Clifton Haider; Mayo Clinic
 
TP8b1-5: APPROXIMATED CANONICAL SIGNED DIGIT FOR ERROR RESILIENT INTELLIGENT COMPUTATION
         Gian Carlo Cardarilli; University of Rome Tor Vergata
         Luca Di Nunzio; University of Rome Tor Vergata
         Rocco Fazzolari; University of Rome Tor Vergata
         Alberto Nannarelli; Technical University of Denmark
         Marco Re; University of Rome Tor Vergata
 
TP8b1-6: A COMMON RECURSIVE FORM FOR MULTIPLE FUNDAMENTAL ARITHMETIC OPERATORS AND ITS AUTOMATED SYNTHESIS
         Sébastien Roy; Université de Sherbrooke
         Frédéric Mailhot; Université de Sherbrooke
 
TP8b1-7: LOW-POWER, ADAPTIVE DIGITAL PRE-DISTORTION LINEARIZATION OF ULTRA-WIDEBAND RF POWER AMPLIFIERS
         Scott Velazquez; Innovation Digital, LLC
         Yujia Wang; Innovation Digital, LLC

</span>

</details>

* TP8b2: Online and Active Learning and Adaptive and Cognitive Systems (Merrill)

<details>
  <summary><span style="font-size:0.8em;color: #b15928"> Details </span></summary>

<span style="font-size:0.8em">

TP8b2-1: AN ONLINE STOCHASTIC KERNEL MACHINE FOR ROBUST SIGNAL CLASSIFICATION
         Raghu Raj; US Naval Research Laboratory
 
TP8b2-2: IMPACT OF DELAYS ON CONSTRAINED ONLINE CONVEX OPTIMIZATION
         Xuanyu Cao; University of Illinois at Urbana-Champaign
         Junshan Zhang; Arizona State University
         H. Vincent Poor; Princeton University
 
TP8b2-3: AUTOMATED OPTIMAL ONLINE CIVIL ISSUE CLASSIFICATION USING MULTIPLE FEATURE SETS
         Imara Nazar; University at Albany, SUNY
         Yasitha Warahena Liyanage; University at Albany, SUNY
         Daphney-Stavroula Zois; University at Albany, SUNY
         Charalampos Chelmis; University at Albany, SUNY
 
TP8b2-4: ACTIVE AND ADAPTIVE SEQUENTIAL LEARNING WITH PER TIME-STEP EXCESS RISK GUARANTEES
         Yuheng Bu; University of Illinois at Urbana Champaign
         JiaXun Lu; Tsinghua University
         Venugopal V. Veeravalli; University of Illinois at Urbana Champaign
 
TP8b2-5: OPTIMAL ADAPTIVE SAMPLING FOR BOUNDARY ESTIMATION WITH MOBILE SENSORS
         Phillip Kearns; Portland State University
         John Lipor; Portland State University
         Bruno Jedynak; Portland State University
 
TP8b2-6: ONLINE BOUNDED COMPONENT ANALYSIS: A SIMPLE RECURRENT NEURAL NETWORK WITH LOCAL UPDATE RULE FOR UNSUPERVISED SEPARATION OF DEPENDENT AND INDEPENDENT SOURCES
         Alper T. Erdogan; Koc University
         Berfin Simsek; EPFL
 
TP8b2-7: REINFORCEMENT LEARNING FOR COGNITIVE RADAR TASK SCHEDULING
         Mohamed Gaafar; University of Toronto
         Mahdi Shaghaghi; ComplimentAI
         Raviraj Adve; University of Toronto
         Zhen Ding; Defence Research and Development Canada
 
TP8b2-8: APPLICATION OF POMDPS TO COGNITIVE RADAR
         Charles Topliff; Georgia Institute of Technology
         William Melvin; Georgia Institute of Technology
         Douglas Williams; Georgia Institute of Technology
 
TP8b2-9: END-TO-END LEARNING OF WAVEFORM GENERATION AND DETECTION FOR RADAR SYSTEMS
         Wei Jiang; New Jersey Institute of Technology
         Alexander Haimovich; New Jersey Institute of Technology
         Osvaldo Simeone; King's College London
 
TP8b2-10: EXPLORATION VERSUS DATA REFINEMENT VIA MULTIPLE MOBILE SENSORS BASED ON EPISTEMIC UTILITY CONTROLLER
         Mohammad Shekaramiz; Utah State University
         Todd Moon; Utah State University
         Jacob Gunther; Utah State University

</span>

</details>

* TP8b3: Matrix and Tensor Methods	Merrill

<details>
  <summary><span style="font-size:0.8em;color: #b15928"> Details </span></summary>

<span style="font-size:0.8em">

TP8b3-1: THE ROLE OF SUBSPACE ESTIMATION IN ARRAY SIGNAL PROCESSING
         Richard Vaccaro; University of Rhode Island
 
TP8b3-2: TENSOR DATA CONFORMITY EVALUATION FOR INTERFERENCE-RESISTANT LOCALIZATION
         Konstantinos Tountas; Florida Atlantic University
         George Sklivanitis; Florida Atlantic University
         Dimitris A. Pados; Florida Atlantic University
         Michael J. Medley; US Air Force Research Laboratory
 
TP8b3-3: AUTOCORRELATION COMPLEMENTARY MATRICES
         Yi Jiang; Fudan University
         Fengjie Li; Fudan University
         Xin Wang; Fudan University
         Jian Li; University of Florida
 
TP8b3-4: ENHANCED CONVERGENT ALGORITHM FOR LP-NORM PRINCIPAL-COMPONENT ANALYSIS
         Dimitris Chachlakis; Rochester Institute of Technology
         Panos Markopoulos; Rochester Institute of Technology
 
TP8b3-5: EFFICIENT COMPUTATION OF THE PARAFAC2 DECOMPOSITION
         Yao Cheng; Ilmenau University of Technology
         Martin Haardt; Ilmenau University of Technology
 
TP8b3-6: COUPLED BLOCK-TERM TENSOR DECOMPOSITION BASED BLIND SPECTRUM CARTOGRAPHY
         Guoyong Zhang; Oregon State University; University of Electronic Science and Technology of China
         Xiao Fu; Oregon State University
         Jun Wang; University of Electronic Science and Technology of China
         Mingyi Hong; University of Minnesota
 
TP8b3-7: ITERATIVE RE-WEIGHTED L1-PCA OF TENSOR DATA
         Konstantinos Tountas; Florida Atlantic University
         Dimitris Chachlakis; Rochester Institute of Technology
         Panos Markopoulos; Rochester Institute of Technology
         Dimitris Pados; Florida Atlantic University
 
TP8b3-8: FAST SPARSE SUBSPACE TRACKING ALGORITHM BASED ON SHEAR AND GIVENS ROTATIONS
         Nacerredine Lassami; IMT Atlantique Bretagne-Pays de la Loire
         Abdeldjalil Aissa-El-Bey; IMT Atlantique Bretagne-Pays de la Loire
         Karim Abed-Meraim; Université d’Orléans

</span>

</details>

#### 17:35 - 23:00 Open Evening - Enjoy the Monterey Peninsula