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 Monday – Day 1 : 7 August  | 
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 Start  | 
 End  | 
 Event  | 
 Briefer  | 
 Allowed  | 
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 7:30  | 
 7:55  | 
Registration & Welcome to MIT | Ravela/MIT | 
 0:25  | 
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 7:55  | 
 8:00  | 
Dr. Blasch – Intro to Conference | Dr. Blasch | 
 0:05  | 
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 8:00  | 
 8:45  | 
Dr. Darema – Status of DDDAS [Keynote] | Dr. Darema | 
 0:45  | 
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 8:45  | 
 9:00  | 
Break | 
 0:15  | 
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 9:00  | 
 9:30  | 
BRECCIA: A Multi-Agent Data Fusion and Decision Support Framework for Dynamic Mission Planning | Thomas C. Henderson | 
 0:30  | 
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 9:30  | 
 10:00  | 
A New Control Theory for Dynamic Data Driven Systems | John Doyle | 
 0:30  | 
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 10:00  | 
 10:30  | 
Interactive Planning and Sensing in Uncertain Environments with Task-Driven Sensor Placement | Raghvendra Cowlagi | 
 0:30  | 
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 10:30  | 
 10:45  | 
Break | 
 0:15  | 
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 10:45  | 
 11:15  | 
In-situ Training and Integration of New Sensors in a Sensor Network Operating within Noisy Environments | Shashi Phoha | 
 0:30  | 
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 11:15  | 
 11:45  | 
A Data-Driven Approach to Control of Large-Scale Systems | Dan Yu | 
 0:30  | 
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 11:45  | 
 12:15  | 
Information Space Receding Horizon Control (IS-RHC) for Tractable Sensor Scheduling | Weston Faber | 
 0:30  | 
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 12:15  | 
 13:00  | 
Lunch | 
 0:45  | 
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 13:00  | 
 13:30  | 
A Critical Review of Adversarial Learning and an Active Learning Study | David Miller | 
 0:30  | 
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 13:30  | 
 14:00  | 
Flight Trajectory Planning for Fixed-Wing Aircraft in Loss of Thrust Emergencies | Paul Saswata | 
 0:30  | 
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 14:00  | 
 14:30  | 
Measurement Selection for Bias Reduction in Structural Damage Parameter Estimation | Shiyu Zhou | 
 0:30  | 
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 14:30  | 
 14:45  | 
Break | 
 0:15  | 
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 14:45  | 
 15:15  | 
Data acquisition and sensor placement via multi-fidelity information fusion | Paris Perdikaris | 
 0:30  | 
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 15:15  | 
 15:45  | 
A Step Towards the Cognitive Radar: Target Detection under Nonstationary Clutter | Arye Nehorai | 
 0:30  | 
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 15:45  | 
 16:15  | 
A Sequential Optimization Sampling Method for the Estimation Extreme Event Statistics for Dynamical Systems | Mustafa Mohamad | 
 0:30  | 
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 16:15  | 
 17:15  | 
Poster Session Rapid Introductions (3-minutes to introduce each poster) | Sai Ravela | 
 1:00  | 
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 17:15  | 
 17:25  | 
Wrap Up | Dr. Blasch | 
 0:10  | 
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 Tuesday – Day 2 : 8 August  | 
 
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 Start  | 
 End  | 
 Event  | 
 Briefer  | 
 Allowed  | 
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 7:30  | 
 7:55  | 
Registration | Ravela/MIT | 
 0:25  | 
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 7:55  | 
 8:00  | 
Intro to Conference Day Two | Rangaswamy | 
 0:05  | 
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 8:00  | 
 8:45  | 
DDDAS Image-Based Modeling, Simulation, and Visualization [Keynote] | Chris Johnson | 
 0:45  | 
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 8:45  | 
 9:00  | 
Break | 
 0:15  | 
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 9:00  | 
 9:30  | 
Uncertainty Quantification of Feature Tracking Algorithms | Manoranjan Majji | 
 0:30  | 
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 9:30  | 
 10:00  | 
Dynamic Data-Driven Adaptive Sampling and Monitoring of Big Spatial-Temporal Data Streams for Real-Time Solar Flare Detection | Kaibo Liu | 
 0:30  | 
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 10:00  | 
 10:30  | 
High-dimensional change-point detection over networks via sketching | Yao Xie | 
 0:30  | 
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 10:30  | 
 10:45  | 
Break | 
 0:15  | 
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 10:45  | 
 11:15  | 
Dynamic Data-Driven and Real-Time Verification for Industrial Control System Security and Resilience | Kevin Jin | 
 0:30  | 
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 11:15  | 
 12:00  | 
Dedicated time to view and dialogue with poster presenters | 
 0:45  | 
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 12:00  | 
 12:45  | 
Lunch | 
 0:45  | 
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 12:45  | 
 13:15  | 
Towards Low-Cost Attritable Aircraft Technology via Dynamic Data-Driven Application Systems | Karen Willcox | 
 0:30  | 
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 13:15  | 
 13:45  | 
High Speed Video-based health monitoring using 3D deep learning | Soumik Sarkar | 
 0:30  | 
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 13:45  | 
 14:15  | 
Bayesian Nonparametric Modeling of Categorical Time Series for Fusion of Correlated Information | Asok Ray | 
 0:30  | 
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 14:15  | 
 14:45  | 
Hierarchical Anomaly Identification in Power Systems Using Synchrophasor Data | Sajjad Amini | 
 0:30  | 
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 14:45  | 
 15:00  | 
Break | 
 0:15  | 
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 15:00  | 
 15:30  | 
TEPHCON: Towards a Dynamic Data-Driven Application System for Mining Society’s Phobia of Technologies | Conrad Tucker | 
 0:30  | 
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 15:30  | 
 16:00  | 
Reinforcement Learning: Connections between MDPs and MAB Problems | Wes Cowan | 
 0:30  | 
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 16:00  | 
 16:30  | 
Security and Privacy Issues in DDDAS-based IoT and Smart Systems | Vaidy Sunderam | 
 0:30  | 
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 16:30  | 
 17:00  | 
Dynamic Data Driven formation flying for real time estimation of a plume using mobile sensor network | Michael Demetriou | 
 0:30  | 
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 18:00  | 
Reception | 54-915 @ MIT | ||
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 Wednesday – Day 3 : 9 August  | 
 
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 Start  | 
 End  | 
 Event  | 
 Briefer  | 
 Allowed  | 
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 7:30  | 
 7:55  | 
Registration | Ravela/MIT | 
 0:25  | 
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 7:55  | 
 8:00  | 
Intro to Conference Day 3 | Grizelda Loy-Kraft | 
 0:05  | 
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 8:00  | 
 8:45  | 
DNA for DDDAS [Keynote] | Sangtae Kim | 
 0:45  | 
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 8:45  | 
 9:00  | 
Break | 
 0:15  | 
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 9:00  | 
 10:00  | 
Usage, Operational, and Sustainment Challenges …Road to Digital Thread Rapid Decision Speed • GE – “The Future of Engineering Design & Analysis at GE: Digital Thread for Design” [1] • Universal Technology Corporation – “Environmental Particulate FOD – Data Integration in US and UK for Operational Decision Making” [2] • United Technologies Research Center – “Technological Gaps for True Usage-Based Lifing: A Machine Learning Perspective” [3]  | 
Panel Moderator: Grizelda Loy-Kraft Bob Zacharias [1]  | 
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 10:00  | 
 11:00  | 
Controls, Big Data and Cyber…Road to Cyber 1st Digital Thread • United Technologies Corporation – Aerospace Systems; “UaDAP—a Modular Approach to Software Design” [1] • Jacobs Technology, Inc – “Creating Virtual Sensors From Big Data” [2] • AFRL – “Uninhabited Aircraft Systems (UAS) -Addressing Battlespace Challenges” [3]  | 
Panel Moderator: Grizelda Loy-Kraft Michael J Krenz [1]  | 
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 11:00  | 
 11:15  | 
Break | 
 0:15  | 
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 11:15  | 
 12:15  | 
Design and Life Management …Road to Digital Twin, Agile Development, and Prescriptive Capability/ Low Cost Designs • Florida Turbines – “Designing Low Cost Systems” [1] • GE – “Digital Twin: Bringing Physics & Data Expertise Together” [2] • Florida Turbines –“ Overlapping Development and EMD Challenges” [3]  | 
Panel Moderator: Grizelda Loy-Kraft Joe Brostmeyer [1]  | 
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 12:15  | 
 13:00  | 
Lunch | 
 0:45  | 
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 13:00  | 
 13:30  | 
Fast Active Learning for High Dimensional Nonlinear Dynamical Systems | Gabriel Terejanu | 
 0:30  | 
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 13:30  | 
 14:00  | 
Leveraging Software-Defined Networking for Incident Response in Industrial Control Systems | Alvaro Cardenas | 
 0:30  | 
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 14:00  | 
 14:30  | 
Autonomous Sampling of Severe Storms using Dispersed Computing for Data-Driven Reasoning | Katherine Glasheen | 
 0:30  | 
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 Poster Presentations  | 
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 Title  | 
 Author  | 
| Luban: Towards Precision Inkjet 3D Printing using Ultra-Fast Light Beam Sensing and Control | Aosen Wang | 
| D3NOC: Dynamic Data Driven Network On Chip | Armin Mehrabian | 
| The design of Resilient and Adaptive Communication Networks with Intrusion Detection, using Statistical and Artificial Intelligence Methods | Demetrios Kazakos | 
| Streamlining Online Decision-Makings via Dynamically Sourcing Decentralized Expertise | Shuai Huang | 
| Sea Surface Temperature Estimation from Satellite Observations and In-Situ Measurements Using MultiFidelity Gaussian Process Regression | Hessam Babaee | 
| Dynamic Data Driven Adaptive Observations in Data Assimilation | Ryne Beeson | 
| E-OPTIMAL DATA REDUCTION FOR LEARNING FROM BIG DATA | Mohsen Joneidi | 
| Particle Gaussian Mixture (PGM) Filters-II | Dilshad R Akkam Veettil | 
| Structured and Model based Compressive Sensing for Real-time Big Data Feature Recognition | Janet Meiling Wang-Roveda | 
| Radar Resource Allocation, Intent Inference and Decision Making | Vikram Krishnamurthy | 
| Sparse Collocation based Approach for Uncertainty Propagation through Nonlinear Dynamical Systems | Puneet Singla | 
| Dynamic, Data-driven Optimization of Hyperspectral Video Processing Under Resource Constraints | Shuvra Bhattacharyya | 
| Dynamic Integration of Motion and Neural Data to Model Human Behavior | Dimitrios Pantazis | 
| Deep Reinforcement Learning for Cold Spray Application | Amit Surana | 
| A Framework for Quantifying Uncertainty in InfoSymbiotic Systems Arising in Atmospheric Environments | Adrian Sandu | 
| Dynamic Data Driven Deep Learning | Sai Ravela |