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Wednesday 10/10

Time  Title
8:00-8:30Morning Coffee  
8:30 - 8:45Welcome  
8:45 - 10:00Networks 1  
 KevinXuThe Block Point Process Model for Continuous-time Event-Based Dynamic Networks
 HaiyanWangCombining network theory and partial differential equation to improve influenza predictions
 YajunMeiAdaptive and Rapid Spatial-Temporal Threat Detection Over Networks
 AbelRodriguezA Record Linkage Model Incorporating Relational Data
10:00-10:30Coffee Break  
10:30-12:00Applications  
 P. JeffreyBrantinghamMy Crime Problem is Not Like Your Crime Problem
 AnsuChatterjeeBayesian supervised learning from social unrest data with measurement errors and nonignorable missing values
 RobertMcAndrewModeling internet anomalies arrivals with a new class of Hawkes processes
 PeterChinSpectral and Differential Geometric Understing of Graphs and its Applications
 AndreaBertozziTBD
12:00-1:00Lunch Break  
1:00-2:30Methodology 1   
 JamesMurphyUnsupervised Geometric Learning: Theory and Applications
 HaominZhouOptimal Transport on Graphs with Applications
 ThomasStrohmerCompressive Deep Learning on Constrained Devices
 RongCheniGroup: Statistical inference based on individualized grouping
 QiangQiuRegularized Deep Learning with Geometry and Structures
2:30-2:45Coffee Break  
2:45-4:15Networks 2  
 JieGaoDiscrete Ollivier Ricci Flow for Community Detection on Networks
 ChinmayHegdeEvent Detection in Networks using Steiner Tree Methods
 VincePoorWhat Do Network Motifs Tell Us about Robustness and Reliability of Complex Networks?
 JamesWilsonDynamic network monitoring using random graph theory and statistical process monitoring
 GeorgeMichailidisEstimation of Change Points in Temporally Evolving Networks
4:15-4:30Coffee Break  
4:30-5:00Data challenges  
 JosephChangA Set of Data Association Challenge Problems for Algorithms for Threat Detection Program
 DimitrisManolakisEvent Detection in Time Series: A Traffic Data Challenge

Wednesday | Friday

Thursday 10/11

Time  Title
8:15-8:45Morning Coffee  
8:45-10:00Methodology 2  
 ShannonStiversonClustering Algorithms on the Grassmann Manifold with Applications
 LatifurKhanMultistream Regression and Classification
 GuanqunCaoM-based simultaneous inference for the mean function of functional data
 ElchananMosselBeing Corrupt Requires Being Clever, But Detecting Corruption Doesn't
10:15-10:30Coffee Break  
10:30-12:00Time-dependent modeling  
 YaoXieSequential learning of temporal point processes
 AustinBensonSampling methods for counting temporal motifs
 ShyamRanganathanForecasting threats due to polarization using spatio-temporal topic flows
 MichaelBaronChange-point detection in geospatial sequences of social events
 GeorgeMohlerSpatial ranking, embedding, and interventions for heterogenous human activity data
12:00-1:15Lunch Break  
1:15-2:30Joint ATD/AMPS session  
 AlexanderVladimirskyTime-dependent Surveillance-Evasion Games Under Uncertainty.
 GeorgiosFellourisSequential change detection and control
 NigelBostonGeometry of Real Solutions to the Power Flow Equations
 BarryLeeMultigrid Coarse-Graining of Dynamical Power Grid Models
2:30-2:45Coffee Break  
2:45-4:00Poster Highlights - Lighting Talks  
4:00-6:00Poster Session (joint with AMPS)  
ATDAnnaAboudA Dual Kaczmarz Algorithm
 BenjaminBagozziPredicting violence with big data
 ChenchengCaiTBD
 ElliotCarteeSurveillance-Evasion Mean Field Games
 Shen-ShyangHoA Martingale-based Approach for Flight Behavior Anomaly Detection
 MichaelKallitsisDetection and Identification of Anomalies in Network Streams
 BumsuKimDynamic Topic Modeling: Spatiotemporal Analysis of Los Angeles Twitter Data
 HaoLiNonparametric Self-exciting Processes and Network Reconstruction
 ShuangLiLearning point processes via reinforcement learning
 YangLiProximity condition for SDP relaxation of k-means
 MarkusPlackDynamic Topic Modeling: Spatiotemporal Analysis of Los Angeles Twitter Data
 AvivaPrinsAnalyzing Youth Program Effectiveness in Gang Reduction Using Dynamic Mode Decomposition
 YangleiSongAsymptotically optimal sequential multiple testing
 StilianStoevDetection and Identification of Anomalies in Network Streams
 XuetongSunTBD
 Selena Shuo WangLatent space models for heterogeneous multi-mode networks
 YujieZhaoRapid Detection of Sparse and Temporal-consistent Hot-spot
 ShixiangZhuCrime Series Detection from Large-Scale Police Report Data
 DongmianZouGraph Convolutional Neural Network via Scattering
AMPSGuanqunCaoM-based simultaneous inference for the mean function of functional data
 JulioCastrillonStochastic Collocation and Analytic Regularity of High Dimensional Power Networks
 YixiangDengTBD
 AsimDeyDevelopment of synthetic power grid networks
 YonatanDuklerMotif Based Structural Graph Convolutional Nets For Network Embeddings
 HaoLiNonparametric Self-exciting Processes and Network Reconstruction
 AdityaMaheshwariRegression Monte Carlo for microgrid management
 EnriqueMalladaSparse Recovery over Graph Incidence Matrices
 EnriquePereira BatistaMulrigrid for the Solution of Nonlinear Power Flow Equations
 AprilSaganA Decentralized Matrix Completion Algorithm for Voltage Estimation
 Xiaoyuan Fan Local Feature Sufficiency Exploration..

Wednesday | Thursday

Friday 10/12

Friday 10/12  Title
8:45 - 9:00Welcome  
9:00-10:30AMPS General Methodology I  
 Feng QiuMathematical Optimization for Power Grid Research at Argonne National Laboratory
 YuliaGelTopological Data Analysis for Risk Assessment in Power Grid Networks
 MaximBichuchOptimal Electricity Distribution Pricing under Risk and High Photovoltaics Penetration
10:00-10:15Coffee Break  
10:30-12:00AMPS General Methodology II  
 MichaelLudkovskiApproximate Dynamic Programming Algorithms for Energy Storage Problems
 GuangLinAdaptive Importance Sampling based Bayesian Inference for Power System Dynamic Parameter Estimation
 XiaoyuanFanUtility Data Analysis and Exploration for Power System Control Applications

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