DAY-1 – Friday, October 2, 2020
** Proceedings **
Opening Remarks
Dr. Darema Opening Remarks [slides]
Dr. Blasch Opening Remarks [slides]
Keynote 1
Predictive digital twins: Where dynamic data-driven learning meets physics-based modeling [slides] Karen Willcox
Section 1: Digital Twins
A Dynamic Data Driven Applications Systems (DDDAS)-based Digital Twin Framework [slides] Sarah Malik, RakeenRouf, Krzysztof Mazur, AntoniosKontsos
A Hardware Testbed for Dynamic Data-Driven Aerospace Digital Twins [slides] Stefanie J. Salinger, Michael G. Kapteyn, Cory Kays, Jacob V. R. Pretorius, Karen E. Willcox
Section 2: Environment Cognizant Adaptive-Planning Systems
A DDDAS Protocol for Real-Time Large-Scale UAS Flight Coordination [slides] David Sacharny, Thomas C. Henderson, Ejay Guo
Data-Driven State Awareness for Fly-by-Feel Aerial Vehicles via Adaptive Time Series and Gaussian Process Regression Models [slides] Shabbir Ahmed, Ahmad Amer, Carlos Varela, Fotis Kopsaftopoulos
Integrated Planning, Decision-Making, and Weather Modeling for UAS Navigating Complex Weather [slides] John J. Bird, Katherine Glasheen, Eric W. Frew
Keynote 2
DDDAS for NASA’s Science Mission Directorate [slides] Michael S. Seablom
Section 3: Energy Systems
Microgrid Operational Planning using Deviation Clustering within a DDDAS Framework [slides] Joshua Darville and Nurcin Celik
Dynamic Data-Driven Self-Healing Application for Phasor Measurement Unit Networks [slides] Yanfeng Qu, Xin Liu, Jiaqi Yan, Dong Jin
Interpretable Deep Attention Model for Multivariate Time Series Prediction in Building Energy System [slides] Tryambak Gangopadhyay, Sin Yong Tan, Zhanhong Jiang, Soumik Sarkar
Overcoming Stealthy Adversarial Attacks on Power Grid Load Predictions through Dynamic Data Repair [slides] Xingyu Zhou, Robert Canady, Yi Li, Xenofon Koutsoukos, Aniruddha Gokhale
Section 4: Materials Systems
Uncertainty Analysis of Self Healed Composites with Machine Learning as Part of DDDAS [slides] Sameer B. Mulani, Samit Roy, Bodiuzzaman Jony
Active Search methods to Predict Material Failure under Intermittent Loading in the Serebrinsky-Ortiz Fatigue Model [slides] Stephen Guth and Themistoklis Sapsis
Dynamic Data-Driven Distribution Tracking of Nanoparticle Morphology [slides] Chiwoo Park and Yu Ding
Posters Session-1
Physics-based SAR Modeling and Simulation for Large-scale Data Generation of Multi-Platform Vehicles for Deep Learning-based ATR [slides] Branndon Jones, Ali Ahmadibeni, Maxine Beard, and Amir Shirkhodaie
Towards Provably Correct Probabilistic Flight Systems [slides] Elkin Cruz-Camacho, Saswata Paul, Fotis Kopsaftopoulos and Carlos A. Varela
Dynamic Data-Driven Formal Progress Envelopes for Distributed Algorithms [slides] Saswata Paul, Fotis Kopsaftopoulos, Stacy Patterson and Carlos A. Varela
Dynamic Sensor Processing for Securing Autonomous Vehicles [slides] Raul Quinonez, Luis Salazar, Jairo Giraldo and Alvaro A. Cardenas
A Scalable Mixture Model Based Defense Against Data Poisoning Attacks on Classifiers [slides] Xi Li, David J. Miller, Zhen Xiang and George Kesidis
Resilient Machine Learning (rML) Ensemble Against Adversarial Machine Learning Attacks [slides] Likai Yao, CihanTunc, Pratik Satam and Salim Hariri
Data-based Defense-in-Depth of Critical Systems [slides] Styliani Pantopoulou, Pola Lydia Lagari, Clive Townsend, and Lefteri H. Tsoukalas
DAY-2 Saturday, October3, 2020
Keynote 3
Revisiting the Top Ten Ways that DDDAS Can Save the World – With an update in the BioInfoSciences area and on the Energy Bridge [slides] Sangtae Kim
Session 5: Physics-based Systems Analysis
Machine Learning Algorithms for Improved Thermospheric Density Modeling [slides] Herbert Turner, Maggie Zhang, David Gondelach, Richard Linares
Dynamic Transfer Learning from Physics-based Simulated SAR Imagery for Automatic Target Recognition [slides] Ali Ahmadibeni, Brandon Jones, Damiyelle Smith, Amir Shirkhodaie
Section 6: Imaging Methods and Systems
Uncertainty Estimation for Semantic Segmentation of Hyperspectral Imagery [slides] Aneesh Rangnekar, Emmett Ientilucci, Christopher Kanan, Matthew Hoffman
Spectral Super Resolution with DCT decomposition and Deep Residual Learning [slides] Raghunath Sai Puttagunta, Renlong Hang, Zhu Li, Shuvra Bhattacharyya, George York
Active Scene Classification via Dynamically Learning Prototypical Views [slides] Zachary A. Daniels and Dimitris N. Metaxas
Keynote 4
Using Dynamic Data Driven Cyberinfrastructure for Next Generation Disaster Intelligence Ilkay Altintas
Section 7: Learning Systems
Information Ensemble Kalman Learning for Neural Structure [slides] Margaret Trautner, Gabriel Margolis, Sai Ravela
Reachability Analysis Based Tracking: Applications to Non-Cooperative Space Object Tracking [slides] Zach Hall and Puneet Singla
Sparse Regression and Adaptive Feature Generation for the Discovery of Dynamical Systems [slides] Chinmay S. Kulkarni, Abhinav Gupta, Pierre F. J. Lermusiaux
Improving Prediction Confidence in Learning-Enabled Autonomous Systems [slides] Dimitrios Boursinos and Xenofon Koutsoukos
Industry Panel -1
Impact of DDDAS/InfoSymbiotics in the Industrial Sector
Panelists: Daniel Abramovitch, Agilent Technologies; Sandeep Gogineni, Information Systems Laboratories; Cory Kays, Cornerstone Research; Chung-Sheng Li, PriceWaterhouseCooper; Jose Moreira, IBM; Chitra Sivanandam, SAIC; Nurali Virani, GE
Posters Session-2
Physics-Driven Machine Learning for Time-Optimal Path Planning in Stochastic Dynamic Flows [slides] Rohit Chowdhuryand Deepak Subramani
Discovering Laws from Observations: A Data-driven Approach [slides] Chenzhong Yin, Gaurav Gupta and Paul Bogdan
An On-demand Weather Avoidance System for Small Aircraft Flight Path Routing [slides] Eric Lyons, David Westbrook, Andrew Grote, George Papadimitriou, Komal Thareja, Cong Wang, Michael Zink, Ewa Deelman, Anirban Mandal, and Paul Ruth
Dynamic, Data-Driven Hyperspectral Image Classification on Resource-Constrained Platforms [slides] Lei Pan, Rijun Liao, Zhu Li and Shuvra S. Bhattacharyya
Semi-Supervised Visual Tracking Based on Variational Siamese Network [slides] Liang Xu and Ruixin Niu
Occlusion Detection for Dynamic Adaptation [slides] Zachary Mulhollan, Aneesh Rangnekar, Anthony Vodacek and Matthew J. Hoffman
PNEUMON: A DDDAS Framework to Detect Fatigue and Dyspnea in COPD [slides] Varun Kanal, Andrew Miller, Diego Vester, Jackson Liller, Maria Kyrarini, Glenn Wylie, Michael J. Falvo, and Fillia Makedon
DAY-3 Sunday, October 4, 2020
Industry Panel -2
AI/ML Applications for Aerospace and Defense
Keynote 5
Intelligent Contingency Management for Urban Mobility Irene Gregory
Federal Agencies Panel
Future Direction of DDDAS/InfoSymbiotics and Collaborations with Related Initiatives
Panelists: Erik Blasch, AFOSR; Robert Bohn, NIST; Jahla Gato, Australian Space Agency; Edward McLarney, NASA/Langley; Jasmine Ratchford, DHS; Sonia Sachs, DoE