Workshop on Dynamic Data-Driven Application Systems
ICCS 2007, Beijing, P.R. China

May 28-30, 2007

Abstract

This workshop covers several aspects of the Dynamic Data Driven Applications Systems (DDDAS) concept, which is an established approach defining a symbiotic relation between an application and sensor based measurement systems. Applications can accept and respond dynamically to new data injected into the executing application. In addition, applications can dynamically control the measurement processes. The synergistic feedback control-loop between an application simulation and its measurements opens new capabilities in simulations, e.g., the creation of applications with new and enhanced analysis and prediction capabilities, greater accuracy, longer simulations between restarts, and enable a new methodology for more efficient and effective measurements. DDDAS transforms the way science and engineering are done with a major impact in the way many functions in our society are conducted, e.g., manufacturing, commerce, transportation, hazard prediction and management, and medicine. The workshop will present such new opportunities as well as the challenges and approaches in technology needed to enable DDDAS capabilities in applications, relevant algorithms, and software systems. The workshop will showcase ongoing research in these aspects with examples from several important application areas. All related areas in Data-Driven Sciences are included in this workshop.

This workhop was part of the International Conference on Computational Sciences 2007.

Papers and citations

The citation is Computational Science - ICCS 2007: 7th International Conference, Beijing, China, May 27-30, 2007, Proceedings, Part 1, Y. Shi, Geert Dick van Albada, Jack J. Dongarra, and Peter M. A. Sloot (eds.), Lecture Notes in Computer Science series, vol. 4487, Springer-Verlag, Heidelberg, 2007. The volume is online at http://www.springeronline.com/978-3-540-72583-1.

Page numbers for individual papers are with each entry below. The speaker's name is underlined.

Monday, May 28

Session I (10:20-12:00)

• Sangtae Kim and Venkat Venkatasubramanian, Workshop Keynote: Pharmaceutical Informatics and the Pathway to Personalized Medicines, p. 963.
      Talk
• Jack DiGiovanna, Loris Marchal, Prapaporn Rattanatamrong, Ming Zhao, Shalom Darmanjian, Babak Mahmoudi, Justin Sanchez, Jose Principe, Linda Hermer-Vazquez, Renato Figueiredo, and Jose Fortes, Towards Real-Time Distributed Signal Modeling for Brain Machine Interfaces, pp. 964-971.
      Talk
• Nikos Chrisochoides, Andriy Fedorov, Andriy Kot Grid-Enabled Software Environment for Enhanced Dynamic Data-Driven Visualization and Navigation During Image Guided Neurosurgery, pp. 980-987.
      Talk
• C. Bajaj, J. T. Oden, K. R. Diller, J. C. Browne, J. Hazle, I. Babuska, J. Bass, L. Bidaut, L. Demkowicz, A. Elliott, Y. Feng, D. Fuentes, B. Kwon, S. Prudhomme, R. J. Staord, and Y. Zhang, Using Cyber-Infrastructure for Dynamic Data Driven Laser Treatment of Cancer, pp. 972-979.
      Talk

Session II (2:50-4:30)

• Paul G. Flikkema, Pankaj K. Agarwal, James S. Clark, Carla Ellis, Alan Gelfand, Kamesh Munagala, and Jun Yang, From Data Reverence to Data Relevance: Model-Mediated Wireless Sensing of the Physical Environment, pp. 988-994.
      Talk
• David Caron, Abhimanyu Das, Amit Dhariwal, Leana Golubchik, Ramesh Govindan, David Kempe, Carl Oberg, Abhishek Sharma, Beth Stauffer, Gaurav Sukhatme, Bin Zhang, AMBROSia: an Autonomous Model-Based Reactive Observing System, pp. 995-1001.
      Talk
• Craig C. Douglas, Martin J. Cole, Paul Dostert, Yalchin Efendiev, Richard E. Ewing, Gundolf Haase, Jay Hatcher, Mohamed Iskandarani, Chris R. Johnson, and Robert A. Lodder, Dynamically Identifying and Tracking Contaminants in Water Bodies, pp. 1002-1009.
      Talk
• Omar Bashir, Omar Ghattas, Judith Hill, Bart van Bloemen Waanders, and Karen Willcox, Hessian-based model reduction for large-scale data assimilation problems, pp. 1010-1017.
      Talk
• Adrian Sandu, Emil M. Constantinescu, Gregory R. Carmichael, Tianfeng Chai, John H. Seinfeld, and Dacian Daescu, Localized Ensemble Kalman Dynamic Data Assimilation for Atmospheric Chemistry, pp. 1018-1025.
      Talk

Session III (4:50-6:30)

• Lin Zhang and Adrian Sandu, Data Assimilation in Multiscale Chemical Transport Models, pp. 1026-1033.
      Talk
• Gabrielle Allen, Building a Dynamic Data Driven Application System For Hurricane Forecasting, pp. 1034-1041.
      Talk     Movie
• Jan Mandel, Jonathan D. Beezley, Lynn S. Bennethum, Soham Chakraborty, Janice L. Coen, Craig C. Douglas, Jay Hatcher, Minjeong Kim, and Anthony Vodacek, A Dynamic Data Driven Wildland Fire Model, pp. 1042-1049.
      Talk
• R. M. Fujimoto, R. Guensler, M. Hunter, K. Schwan, H.-K. Kim, B. Seshasayee, J. Sirichoke, and W. Suh, Ad Hoc Distributed Simulation of Surface Transportation Systems, pp. 1050-1057.
      Talk
• Sarat Sreepathi, Kumar Mahinthakumar, Emily Zechman, Ranji Ranjithan , Downey Brill, Xiaosong Ma, and Gregor von Laszewski, Cyberinfrastructure for Contamination Source Characterization in Water Distribution Systems, pp. 1058-1065.
      Talk

Tuesday, May 29

Session IV (10:20-12:00)

• James McCalley, Vasant Honavar, Sarah Ryan, William Meeker, Daji Qiao, Ron Roberts, Yuan Li, Jyotishman Pathak, Mujing Ye, and Yili Hong, Integrated Decision Algorithms for Auto-Steered Electric Transmission System Asset Management, pp. 1066-1073.
      Talk
• C. Hoffmann, E. Swain, Y. Xu, T. Downar, L. Tsoukalas, P. Top, M. Senel, M. Bell, E. Coyle, B. Loop, D. Aliprantis, O. Wasynczuk, and S. Meliopoulos, DDDAS For Autonomic Interconnected Systems: The National Energy Infrastructure, pp. 1074-1082.
      Talk
• R. Gao and L. H. Tsoukalas, Implementing Virtual Buffer for Electric Power Grids, pp. 1083-1089.
      Talk
• Gregory R. Madey, Albert-Laszlo Barab?si, Nitesh V. Chawla, Marta Gonzalez, David Hachen, Brett Lantz, Alec Pawling, Timothy Schoenharl, Gabor Szabo, Pu Wang, and Ping Yan, Enhanced Situational Awareness: Application of DDDAS Concepts to Emergency and Disaster Management, pp. 1090-1097.
      Talk
• Catriona Kennedy, Georgios Theodoropoulos, Volker Sorge, Edward Ferrari, Peter Lee, and Chris Skelcher, AIMSS: An Architecture for Data Driven Simulations in the Social Sciences, pp. 1098-1105.
      Talk

Session V (2:50-4:30)

• A. R. Chaturvedi, C. Hsieh, T. H. Bhatt, A. L. Santone, Bio-terror Preparedness Exercise in a Mixed Reality Environment, pp. 1106-1113.
      Talk
• D. Metaxas, A. Kanaujia, and Y. Huang, Tracking Facial Features Using Mixture of Point Distribution Models, pp. 1114-1121.
• Lavanya Ramakrishnan, Yogesh Simmhan, and Beth Plale, Realization of Dynamically Adaptive Weather Analysis and Forecasting in LEAD: Four Years Down the Road, pp. 1122-1129.
      Talk
• Theodore B. Trafalis, Indra Adrianto, Michael B. Richman, Active Learning with Support Vector Machines for Tornado Prediction, pp. 1130-1137.
      Talk
• Nicholas Roy, Han-Lim Choi, Daniel Gombos, James Hansen, Jonathan How, and Sooho Park, Adaptive Observation Strategies for Forecast Error Minimization, pp. 1138-1146.

Session VI (4:50-6:30)

• Sai Ravela, John Marshall, C. Hill, A. Wong, and S. Stransky, Real-time Observatory for Laboratory Simulation of Planetary Circulation, pp. 1155-1162.
      Talk (pdf)     Talk (pps)
• Sai Ravela, Two Extensions of Data Assimilation by Field Alignment, pp. 1147-1154.
• Chris Hill, Bradley C. Kuszmaul, Charles E. Leiserson, and John Marshall, Planet-in-a-Bottle: A Numerical Fluid-Laboratory System, pp. 1163-1170.
• J. Cortial, C. Farhat, L.J. Guibas, and Manjunath Rajashekhar, Time-Parallel Exploitation of Reduced-Order Modeling and Sensor Data Reduction for Structural and Material Health Monitoring DDDAS, pp. 1172-1179.
      Talk
• John G. Michopoulos and Tomonari Furukawa, Multi-level Coupling of Dynamic Data-Driven Experimentation with Material Identifcation, pp. 1180-1188.
      Talk

Wednesday, May 30

Session VII (10:00-12:00)

• D. Knight, Q. Ma, T. Rossman and Y. Jaluria, Evaluation of Fluid- Thermal Systems by Dynamic Data Driven Application Systems - Part II, pp. 1189-1196.
      Talk
• Yu Ding, Eunshin Byon, Chiwoo Park, Jiong Tang, Yi Lu, and Xin Wang, Dynamic Data-Driven Fault Diagnosis of Wind Turbine Systems, pp. 1197-1204.
      Talk
• Asad Awan, Ahmed Sameh, Suresh Jagannathan, and Ananth Grama, Building Verifiable Sensing Applications Through Temporal Logic Specification, pp. 1205-1212.
      Talk
• Tahsin Kurc, Xi Zhang, Manish Parashar, Hector Klie, Mary F. Wheeler, Umit Catalyurek, and Joel Saltz, Dynamic Data-Driven Systems Approach for Simulation-based Optimizations, pp. 1213-1221.
      Talk
• Jon B. Weissman, Vipin Kumar, Varun Chandola, Eric Eilertson, Levent Ertoz, Gyorgy Simon, Seonho Kim, and Jinoh Kim, DDDAS/ITR: A Data Mining and Exploration Middleware for Grid and Distributed Computing, pp. 1222-1229.
      Talk
• Melina Demertzi, Pedro Diniz, Mary W. Hall, Anna C. Gilbert, and Yi Wang, A Combined Hardware/Software Optimization Framework for Signal Representation and Recognition, pp. 1230-1237.
      Talk
• Shoupeng Han and Kedi Huang, Equivalent Semantic Translation from Parallel DEVS Models to Time Automata, pp. 1246-1253.
• Paul Reynolds, Ross Gore, Xinju Liu, and Michael Spiegel, Validating Evolving Simulations, pp. 1238-1245.