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ORCID3rd DDDAS 2020: Boston, MA, USA
- Frederica Darema
, Erik Blasch, Sai Ravela, Alex Aved:
Dynamic Data Driven Applications Systems - Third International Conference, DDDAS 2020, Boston, MA, USA, October 2-4, 2020, Proceedings. Lecture Notes in Computer Science 12312, Springer 2020, ISBN 978-3-030-61724-0
Keynotes
- Michael G. Kapteyn, Karen E. Willcox:
Predictive Digital Twins: Where Dynamic Data-Driven Learning Meets Physics-Based Modeling. 3-7 - Michael S. Seablom, Florence W. Tan, Jacqueline LeMoigne-Stewart:
Dynamic Data-Driven Application Systems for NASA's Science Mission Directorate. 8-11 - Shiyan Wang, Sangtae Kim:
Revisiting the Top Ten Ways that DDDAS Can Save the World with an Update in the BioInfoSciences Area and on the Energy Bridge. 12-17 - Ilkay Altintas:
Using Dynamic Data Driven Cyberinfrastructure for Next Generation Disaster Intelligence. 18-21 - Irene M. Gregory, Newton H. Campbell, Natasha A. Neogi, Jon B. Holbrook, Jared A. Grauer, Barton J. Bacon, Patrick C. Murphy, Daniel D. Moerder, Benjamin M. Simmons, Michael J. Acheson, Thomas C. Britton, Jacob W. Cook:
Intelligent Contingency Management for Urban Air Mobility. 22-26
Plenary Presentations - Section 1: Digital Twins
- Sarah Malik, Rakeen Rouf, Krzysztof Mazur, Antonios Kontsos:
A Dynamic Data Driven Applications Systems (DDDAS)-Based Digital Twin IoT Framework. 29-36 - Stefanie J. Salinger, Michael G. Kapteyn, Cory Kays, Jacob V. R. Pretorius, Karen E. Willcox:
A Hardware Testbed for Dynamic Data-Driven Aerospace Digital Twins. 37-45
Plenary Presentations - Section 2: Environment Cognizant Adaptive-Planning Systems
- David Sacharny, Thomas C. Henderson, EJay Guo:
A DDDAS Protocol for Real-Time Large-Scale UAS Flight Coordination. 49-56 - Shabbir Ahmed, Ahmad Amer, Carlos A. Varela, Fotis Kopsaftopoulos:
Data-Driven State Awareness for Fly-by-Feel Aerial Vehicles via Adaptive Time Series and Gaussian Process Regression Models. 57-65 - John J. Bird, Katherine Glasheen, Eric W. Frew:
Integrated Planning, Decision-Making, and Weather Modeling for UAS Navigating Complex Weather. 66-73
Plenary Presentations - Section 3: Energy Systems
- Joshua Darville, Nurcin Celik:
Microgrid Operational Planning Using Deviation Clustering Within a DDDAS Framework. 77-84 - Yanfeng Qu, Xin Liu, Jiaqi Yan, Dong Jin:
Dynamic Data-Driven Self-healing Application for Phasor Measurement Unit Networks. 85-92 - Tryambak Gangopadhyay, Sin Yong Tan, Zhanhong Jiang, Soumik Sarkar:
Interpretable Deep Attention Model for Multivariate Time Series Prediction in Building Energy Systems. 93-101 - Xingyu Zhou, Robert Canady, Yi Li, Xenofon D. Koutsoukos, Aniruddha Gokhale:
Overcoming Stealthy Adversarial Attacks on Power Grid Load Predictions Through Dynamic Data Repair. 102-109
Plenary Presentations - Section 4: Materials Systems
- Sameer B. Mulani, Samit Roy, Bodiuzzaman Jony:
Uncertainty Analysis of Self-healed Composites with Machine Learning as Part of DDDAS. 113-120 - Stephen Guth, Themistoklis Sapis:
Active Search Methods to Predict Material Failure Under Intermittent Loading in the Serebrinksy-Ortiz Fatigue Model. 121-131 - Chiwoo Park, Yu Ding:
Dynamic Data-Driven Distribution Tracking of Nanoparticle Morphology. 132-139
Plenary Presentations - Section 5: Physics-Based Systems Analysis
- Herbert Turner, Maggie Zhang, David Gondelach, Richard Linares:
Machine Learning Algorithms for Improved Thermospheric Density Modeling. 143-151 - Ali Ahmadibeni, Branndon Jones, Damiyelle Smith, Amir Shirkhodaie:
Dynamic Transfer Learning from Physics-Based Simulated SAR Imagery for Automatic Target Recognition. 152-159
Plenary Presentations - Section 6: Imaging Methods and Systems
- Aneesh Rangnekar, Emmett J. Ientilucci, Christopher Kanan, Matthew J. Hoffman:
Uncertainty Estimation for Semantic Segmentation of Hyperspectral Imagery. 163-170 - Raghunath Sai Puttagunta, Renlong Hang, Zhu Li, Shuvra S. Bhattacharyya, George York:
Spectral Super Resolution with DCT Decomposition and Deep Residual Learning. 171-178 - Zachary A. Daniels, Dimitris N. Metaxas:
Active Scene Classification via Dynamically Learning Prototypical Views. 179-187
Plenary Presentations - Section 7: Learning Systems
- Margaret Trautner, Gabriel B. Margolis, Sai Ravela:
Informative Ensemble Kalman Learning for Neural Structure. 191-199 - Zach Hall, Puneet Singla:
Reachability Analysis Based Tracking: Applications to Non-cooperative Space Object Tracking. 200-207 - Chinmay S. Kulkarni, Abhinav Gupta, Pierre F. J. Lermusiaux:
Sparse Regression and Adaptive Feature Generation for the Discovery of Dynamical Systems. 208-216 - Dimitrios Boursinos, Xenofon D. Koutsoukos:
Improving Prediction Confidence in Learning-Enabled Autonomous Systems. 217-224
Posters Session-1
- Branndon Jones, Ali Ahmadibeni, Maxine Beard, Amir Shirkhodaie:
Physics-Based SAR Modeling and Simulation for Large-Scale Data Generation of Multi-platform Vehicles for Deep Learning-Based ATR. 227-235 - Elkin Cruz-Camacho, Saswata Paul, Fotis Kopsaftopoulos, Carlos A. Varela:
Towards Provably Correct Probabilistic Flight Systems. 236-244 - Saswata Paul, Fotis Kopsaftopoulos, Stacy Patterson, Carlos A. Varela:
Dynamic Data-Driven Formal Progress Envelopes for Distributed Algorithms. 245-252 - Raul Quinonez, Luis E. Salazar, Jairo Giraldo, Alvaro A. Cárdenas:
Dynamic Sensor Processing for Securing Unmanned Vehicles. 253-261 - Xi Li, David J. Miller, Zhen Xiang, George Kesidis:
A Scalable Mixture Model Based Defense Against Data Poisoning Attacks on Classifiers. 262-273 - Likai Yao, Cihan Tunc, Pratik Satam, Salim Hariri:
Resilient Machine Learning (rML) Ensemble Against Adversarial Machine Learning Attacks. 274-282 - Styliani Pantopoulou, Pola Lydia Lagari, Clive H. Townsend, Lefteri H. Tsoukalas:
Data-Based Defense-in-Depth of Critical Systems. 283-290
Posters Session-2
- Rohit Chowdhury, Deepak N. Subramani:
Physics-Driven Machine Learning for Time-Optimal Path Planning in Stochastic Dynamic Flows. 293-301 - Chenzhong Yin, Gaurav Gupta, Paul Bogdan:
Discovering Laws from Observations: A Data-Driven Approach. 302-310 - Eric Lyons, David Westbrook, Andrew Grote, George Papadimitriou, Komal Thareja, Cong Wang, Michael Zink, Ewa Deelman, Anirban Mandal, Paul Ruth:
An On-Demand Weather Avoidance System for Small Aircraft Flight Path Routing. 311-319 - Lei Pan, Rijun Liao, Zhu Li, Shuvra S. Bhattacharyya:
Dynamic, Data-Driven Hyperspectral Image Classification on Resource-Constrained Platforms. 320-327 - Liang Xu, Ruixin Niu:
Semi-supervised Visual Tracking Based on Variational Siamese Network. 328-336 - Zachary Mulhollan, Aneesh Rangnekar, Anthony Vodacek, Matthew J. Hoffman:
Occlusion Detection for Dynamic Adaptation. 337-344 - Varun Kanal, Andrew Miller, Diego Vester, Jackson Liller, Maria Kyrarini, Glenn Wylie, Michael J. Falvo, Fillia Makedon:
PNEUMON: A DDDAS Framework to Detect Fatigue and Dyspnea in COPD. 345-352
Panels
- Daniel Abramovitch, Sandeep Gogineni, Cory Kays, Chung-Sheng Li, Jose Moreira, Chitra Sivanandam, Nurali Virani:
Impact of DDDAS/InfoSymbiotics in the Industrial Sector. 355 - Kishore K. Reddy, Amit Surana, Paul Kodzwa, Shane Zable, Richard LaRowe, Eric Brewer, Steven Burd:
AI/ML Applications for Aerospace and Defense. 356 - Erik Blasch, Robert B. Bohn, Jahla Gato, Edward L. McLarney, Jasmin Ratchford, Sonia Sachs:
Future Direction of DDDAS/InfoSymbiotics and Collaborations with Related Initiatives. 357
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