Architecting the Executables with DEVS Unified Process ...

News

Jul. 26, 2016: Dr. Martin is General Chair for Summer Simulation Multi-conference 2017, Seattle, WA, USA more
Jul. 20, 2016: Dr. Mittal is Vice President Memberships of SCS International more
Apr. 6, 2016: Dr. Mittal is General Chair for SpringSm 2017, Virginia Beach, VA, USA. He is also Associate Editor-in-Chief for Transactions of SCS: SIMULATION. He and Dr. Martin are also the co-chairs for M&S of Complexity in Intelligent, Adaptive and Autonomous Systems Symposium. more
Mar. 31, 2016: Drs. Lin Zhang, Bernie Zeigler and S. Mittal published a Special Issue on Model Engineering. more
Sep. 21, 2015: Dr. Mittal is Lead Systems Engineer at The MITRE Corporation, McLean, VA. more
All News

Featured Areas

Modeling and Simulation Modeling in software and systems engineering is the art of emulation/simplification of real-world using valid abstractions, formal knowledge representation and implementation as a software program or a graphical artifact. Simulation is the act of execution of the model on a time-base to present dynamical behavior. Modeling and Simulation are independent areas of research and the simulator executes a "contract" (simulation protocol) when it simulates a model. Correctness of this contract and simulator implementation is called Verification. Correctness of model is done through Validation.
Executable Architectures The simulation of an architecture model is an open problem and an active area of research. We at DUNIP with our research repository and experience provide a methodology to develop executable architectures based on Department of Defense Architecture Framework (DODAF) Version 2.0 with model-driven systems engineering (MDSE) paradigm. The foundation is described in our latest book.

Model-Driven Systems Engineering (MDSE) With the theoretical foundation of Discrete Event Systems formalism, a.k.a DEVS, we engineer our M&S-driven systems with strong theoretical systems engineering principles and advanced model engineering technologies employing metamodeling and Domain Specific Languages (DSLs). The DEVS Unified Process (DUNIP) facilitates integration and continuous satisfaction of requirements across the entire systems lifecycle in an agile manner
Netcentric Agent-based Distributed Systems With industry's widespread adoption of Service Oriented Architecture (SOA) and its pursuit of semantic web technologies, we at Dunip bring research and solutions that allow netcentric modeling and simulation-based engineering for interoperable event-driven architectures and systems. We engineer multi-agent systems and complex dynamical system-of-systems using scientific theories/frameworks based on agent-based computing, organic computing and natural computing.

Publications

We base our research and technologies on the publications as listed below. While we do not claim ownership of the intellectual property for all of them, there are a few articles that were published through Dunip Tech LLC. All the collaborators and publishing societies retain their respective copyrights.

Books

Zhang, L., Zeigler, B.P., Mittal, S., (Eds.), Model Engineering, Special issue in International Journal of Modeling, Simulation and Scientific Computing, Word Scientific, CALL FOR PAPERS, expected publication Fall 2015
Zander, J., Mittal, S., Proceedings of the Summer Simulation Multi-Conference 2014, SCS
Mittal, S., Martin, J.L.R., Net-centric System of Systems Engineering with DEVS Unified Process: A Book in System of Systems Engineering Series by Mo Jamshidi, CRC Press, Francis and Taylor Group, Feb 2013. Buy at Amazon and CRC Press

Reviews

Book Review in SCS Newsletter (2013) for Guide to Modeling and Simulation of System of Systems (Simulation Foundations, Methods and Applications) by Bernard P. Zeigler, Hessam S. Sarjoughian, Raphel Duboz, Jean-Christophe Soulie, Springer 2012, 393 pages

Invited Talks

Mittal, S., Attention-Focusing in Activity-based Intelligent Systems, Workshop on Activity-based Modeling and Simulation (ACTIMS'14), Jan 16-18, Zurich, Switzerland
Mittal, S., Net-centric Cognitive Architecture using DEVS Unified Process, Researching and Developing Persistent and Generative Cognitive Models Workshop sponsored by US Air Force Research Lab 711th Human Performance Wing and European Office of Aerospace Research and Development, Nov. 9-11, 2010, Scottsdale, AZ

Presentations

Mittal, S., (2015). Complex Adaptive Systems Modeling, adapted from a seminar given at MIT Lincoln Lab, Masachussets, MA
Tolk, A., Mittal, S., (2014). A Necessary Paradigm Change to Enable Composable Cloud-based M&S Services, Winter Simulation Conference, Savannah, GA
Zeigler, B.P.,(2013). Grand Challenges in Modeling and Simulation, What can DEVS Theory Do To Meet Them? Parts 1 and 2, Seminar to School of Automation Science and Electrical Engineering, Beihang University, Beijing, China, Dec.11, 2013
Mittal, S., Martin, J.L.R., (2013) Model Driven Systems Engineering for Netcentric System of Systems Engineering with DEVS Unified Process, Winter Simulation Conference, Dec 8-11, Washington, DC

Whitepapers

Hammonds, P., Mittal, S., Zeigler, B.P., (2007) Automated Attention Agent Assessment of Current States and Prediction of Future States using DEVS Cognitive Agent

Chapters

Mittal, S., Doyle, M.J., Portrey, A.M., (2014) Human-in-the-loop modeling in System of Systems M&S: Applications to Live, Virtual and Constructive (LVC) Distributed Mission Operations (DMO), In Handbook on M&S Support for System of Systems Engineering, Ed. Tolk, A., Rainey, L., John Wiley & Sons (in press)
Douglass, S.A., Mittal, S. (2012), A framework for modeling and simulation of the artificial, In Ontology, Epistemology, and Teleology of Modeling and Simulation, Ed. A. Tolk, Springer-Verlag, Berlin
Mittal, S. (2011), Agile net-centric systems with DEVS unified process, In Intelligence-based Systems Engineering, Ed. Tolk, A., and Jain, L., Springer-Verlag Berlin
Wainer, G., Zoubi, K., Dalle, O., Hill, D., Mittal, S., Martin, J.L.R., Sarjoughian, H., Touraille, L., Traore, M., Zeigler, B.P. (2010), Standardizing DEVS simulation middleware, In Discrete Event Modeling and Simulation: Theory and Applications, Ed. Wainer, G., Mosterman, P., CRC Press
Wainer, G., Zoubi, K., Dalle, O., Hill, D., Mittal, S., Martin, J.L.R., Sarjoughian, H., Touraille, L., Traore, M., Zeigler, B.P. (2010), Standardizing DEVS model representation, In Discrete Event Modeling and Simulation: Theory and Applications, Ed. Wainer, G., Mosterman, P., CRC Press
Wainer, G., Zoubi, K., Mittal, S., Martin, J.L.R., Sarjoughian, Zeigler, B.P (2010), An introduction to DEVS Standardization, In Discrete Event Modeling and Simulation: Theory and Applications, Ed. Wainer, G., Mosterman, P., CRC Press
Wainer, G., Zoubi, K., Dalle, O., Hill, D., Mittal, S., Martin, J.L.R., Sarjoughian, H., Touraille, L., Traore, M., Zeigler, B.P. (2010), DEVS Standardization: Ideas, trends and future, In Discrete Event Modeling and Simulation: Theory and Applications, Ed. Wainer, G., Mosterman, P., CRC Press
Mittal, S., Zeigler, B.P., Martin, J.L.R., Sahin, F., Jamshidi, M. (2008), Modeling and simulation for systems of systems engineering, In System of Systems Engineering for 21st Century, Ed. Mo Jamshidi, Wiley

Journals

J.39. Josefa Díaz Álvarez, José L. Risco-Martín and J. Manuel Colmenar (2016). Multi-objective optimization of energy consumption and execution time in a single level cache memory for embedded systems. The Journal of Systems and Software. Vol. 111, pp. 200-212. [DOI] [PDF]
J.38. J. Ignacio Hidalgo, Ricardo Fernández, J. Manuel Colmenar, Florencia Cioffi, José L. Risco-Martín and Gaspar González-Doncel (2016). Using evolutionary algorithms to determine the residual stress profile across welds of age-hardenable aluminum alloys. Applied Soft Computing. Vol. 40, pp. 429-438. [DOI]
J.37. Josué Pagán, José L. Risco-Martín, José M. Moya and José L. Ayala (2016). Modeling methodology for the accurate and prompt prediction of symptomatic events in chronic diseases. Journal of Biomedical Informatics. Vol. 62, pp. 136-147. [DOI] [PDF]
J.36. Marina Zapater, José L. Risco-Martín, Patricia Arroba, José L. Ayala, José M. Moya and Román Hermida (2016). Runtime data center temperature prediction using Grammatical Evolution techniques. Applied Soft Computing. Vol. 49, pp. 94-107. [DOI] [PDF]
J.35. Alfredo Cuesta-Infante, J. Manuel Colmenar, Zorana Bankovic, José L. Risco-Martín, Marina Zapater, J. Ignacio Hidalgo, José L. Ayala and José M. Moya (2015). Comparative study of meta-heuristic 3D floorplanning algorithms. Neurocomputing . Vol. 150, Part A(0), pp. 67 - 81. [DOI] [PDF]
J.34. David Cuesta, José L. Risco-Martín, José L. Ayala and J. Ignacio Hidalgo (2015). Thermal-Aware Floorplanner for 3D IC, including TSVs, Liquid Microchannels and Thermal Domains Optimization. Applied Soft Computing. Vol. 34, pp. 164-177. [DOI] [PDF]
J.33. Josefa Díaz Álvarez, J. Manuel Colmenar, José L. Risco-Martín, Juan Lanchares and Oscar Garnica (2015). Optimizing L1 cache for embedded systems through grammatical evolution. Soft Computing. [DOI] [PDF]
J.32. Josué Pagán, M. Irene De Orbe, Ana Gago, Mónica Sobrado, José L. Risco-Martín, J. Vivancos Mora, José M. Moya and José L. Ayala (2015). Robust and Accurate Modeling Approaches for Migraine Per-Patient Prediction from Ambulatory Data. Sensors. Vol. 15, pp. 15419-15442. [DOI] [PDF]
J.31. Patricia Arroba, José L. Risco-Martín, Marina Zapater, José M. Moya and José L. Ayala (2014). Enhancing Regression Models for Complex Systems Using Evolutionary Techniques for Feature Engineering. Journal of Grid Computing. Vol. 13(3), pp. 409-423. [DOI] [PDF]
J.30. Hidalgo, J.I., Maqueda, E., Martín, J.L.R., Infante, A.C., Colmenar, J.M., & Nobel, J. (2014). glUCModel: A monitoring and modeling system for chronic diseases applied to diabetes. Journal of Biomedical Informatics, 48, 183–192. doi:http://dx.doi.org/10.1016/j.jbi.2013.12.015
J.29. Martín, J.L.R., Colmenar, J.M., Hidalgo, J.I., Lanchares, J., & Josefa Díaz. (2014). A methodology to automatically optimize dynamic memory managers applying grammatical evolution. Journal of Systems and Software. doi:http://dx.doi.org/10.1016/j.jss.2013.12.044
J.28. Mittal, S., Zeigler, B.P., Context and Attention in Activity-based Intelligent Systems, Proceedings of ACTIMS'14, ITM Web of Conferences, Vol. 3. DOI: http://dx.doi.org/10.1051/itmconf/20140303001
J.27. Élez, M.S., Pardines, I., García, P., Miñana, G., Román, S. Sánchez, M., & Martín, J.L.R. (2013). Enhancing Students’ Learning Process Through Self-Generated Tests. Journal of Science Education and Technology, 23(1), 1–11. doi:10.1007/s10956-013-9447-7
J.26. Lanchares, J., Garnica, O., Martín, J.L.R., Hidalgo, J.I., & Regadío, A.. (2013). Real-time evolvable pulse shaper for radiation measurements. Nuclear Instruments and Methods in Physics Research A, 727, 73–83.
J.25. Portas, E.B., Torre, L., Moreno, A., Martín, J.L.R., (2013) On the performance comparison of multi-objective evolutionary UAV path planners, Information Sciences, Available online 26 February 2013, ISSN 0020-0255, 10.1016/j.ins.2013.02.022.
J.24. Cuesta, D., Martín, J.L.R., Ayala, J.L., & Hidalgo, J.I. (2013). 3D thermal-aware floorplanner using a MOEA approximation. Integration, the VLSI Journal, 46(1), 10–21. doi:10.1016/j.vlsi.2012.04.003
J.23. Mittal, S. (2013), Emergence in Stigmergic and Complex Adaptive Systems: A Formal Discrete Event Systems Perspective, Cognitive Systems Research, Ed(s). M.J. Doyle and L. Marsh, Special Issue: Stigmergy in Human Domain, 21, 22-39, DOI: 10.1016/j.cogsys.2012.06.003, invited
J.22. Zapater, M., Sánchez, C., Ayala, J.L., Moya, J.M., & Martín, J.L.R. (2012). Ubiquitous Green Computing Techniques for High Demand Applications in Smart Environments. Sensors, 12(8), 10659–10677. doi:10.3390/s120810659
J.21. Cuesta, D., Martín, J.L.R., & Ayala, J.L.. (2012). 3D thermal-aware floorplanner using a MILP approximation. Microprocessors and Microsystems, 36(5), 344–354. doi:10.1016/j.micpro.2012.02.012
J.20. Arnaldo, I., Infante, A.C., Colmenar, J.M., Martín, J.L.R., & Ayala, J.L.. (2012). Boosting the 3D thermal-aware floorplanning problem through a master-worker parallel MOEA. Concurrency and Computation: Practice and Experience. doi:10.1002/cpe.2902
J.19. Martín, J.L.R., Colmenar, J.M., Atienza, D., & Hidalgo, J.I. (2011). Simulation of high-performance memory allocators. Microprocessors and Microsystems, 35(8), 755–765. doi:10.1016/j.micpro.2011.08.003
J.18. Martín, J.L.R., Lanchares, J., & Carlos A. Coello-Coello. (2011). Special issue on evolutionary computation on general purpose graphics processing units. Soft Computing, 16(2), 185–186. doi:10.1007/s00500-011-0719-y
J.17. Colmenar, J.M., Martín, J.L.R., & Lanchares, J. (2011). An Overview of Computer Architecture and System Simulation. SCS M&S Magazine, 2, 74–81.
J.16. Martín, J.L.R., Atienza, D., Colmenar, J.M., & Garnica, O. (2010). A parallel evolutionary algorithm to optimize dynamic memory managers in embedded systems. Parallel Computing, 36, 572–590. doi:10.1016/j.parco.2010.07.001
J.15. Mak, E., Mittal, S., Hwang. M.H., Nutaro, J. (2010), Automated Link-16 testing using the discrete event system specification and extensible markup language, Journal of Defense Modeling and Simulation, 7(1), 39-62
J.14. Mittal, S., Zeigler, B.P., Martin, J.L.R. (2009), Implementation of formal standard for Interoperability in M&S/System of systems integration with DEVS/SOA, International Command and Control Journal, 3(1), 1-61
J.13. Martin, J.L.R., Mendel, J., Mittal, S., Zeigler, B.P. (2009), eUDEVS: Executable UML using DEVS theory of modeling and simulation, Transactions of SCS, 85(7), 750-777 doi:10.1177/0037549709104727
J.12. Mittal, S., Martin, J.L.R., Zeigler, B.P. (2009), DEVS/SOA: A cross-platform framework for net-centric modeling and simulation in DEVS unified process, Transactions of SCS, 85(7), 419-450 (Top 5 in last 5 years in SIMULATION) doi:10.1177/0037549709340968
J.11. Boloukas, C., Martín, J.L.R., Atienza, D., Poucet, C., Papadopoulos, L., Mamagkakis, S., & Lanchares, J. (2009). Optimization methodology of dynamic data structures based on genetic algorithms for multimedia embedded systems. Journal of Systems and Software, 82(4), 590–602. doi:10.1016/j.jss.2008.08.032
J.10. Herrán, A., Cruz, J.M., Toro, B.A., & Martín, J.L.R. (2009). Modeling and simulation of a gas distribution pipeline network. Applied Mathematical Modelling, 33(3), 1584–1600. doi:10.1016/j.apm.2008.02.012
J.10. Martín, J.L.R., Atienza, D., Hidalgo, J.I., & Lanchares, J. (2008a). A parallel evolutionary algorithm to optimize dynamic data types in embedded systems. Soft Computing, 12(12), 1157–1167. doi:10.1007/s00500-008-0295-y
J.9. Martín, J.L.R., Garnica, O., Lanchares, J., Hidalgo, J. I., & Atienza, D. (2008). Particle swarm optimisation of memory usage in embedded systems. International Journal of High Performance Systems Architecture, 1(4), 209. doi:10.1504/IJHPSA.2008.024205
J.8. Mittal, S., Mak, E., Nutaro, J. (2006), DEVS-based dynamic model reconfiguration and simulation control in the enhanced DoDAF design process, Journal of Defense Modeling and Simulation, 3(4), 239-267
J.7. Mittal, S. (2006), Extending DoDAF to allow DEVS-based Modeling and Simulation, Journal of Defense Modeling and Simulation, 3(2), 95-123
J.6. Martín, J.L.R., Orozco, J.A.L., Cruz, J.M., & Toro, B.A.. (2006). Distribución óptima de GLP en poliductos. Ingeniería Química, 442, 118–125.
J.5. Hu, X., Zeigler, B.P., Mittal, S. (2005), Variable structure in DEVS component-based modeling and simulation, Transactions of SCS, 81(2), 91-102 (Top 20 most cited in SIMULATION)
J.4. Cruz, J. M., Herrán, A., Martín, J.L.R., & Toro, B.A.. (2005). Hybrid heuristic and mathematical programming in oil pipelines networks: Use of immigrants. Journal of Zhejiang University SCIENCE, 6(1), 9–19. doi:10.1631/jzus.2005.A0009
J.3. Martín, J.L.R., Cruz, J.M., Toro, B.A., & Herrán, A.. (2005). Entorno grafico de modelado para problemas de optimización de sistemas a gran escala. RIAI: Revista Iberoamericana de Automática E Informática Industrial, 2(4), 89–100.
J.2. Martín, J.L.R., Herrán, A., Cruz, J.M., & Toro, B.A.. (2005). Estrategias de funcionamiento de una red de distribución de gas. Optimización multiobjetivo. Ingenieria Química, 421, 79–86.
J.1. Orozco, J.A.L., Martín, J.L.R., Cruz, J.M., & Toro, B.A.. (2004). Sistema gráfico para logística y optimización. Alimentación, Equipos Y Tecnología, 23, 61–67.

Conferences

C.34. Samira Briongos, Pedro Malagón, José L. Risco-Martín and José M. Moya (2016). Modeling Side-Channel Cache Attacks on AES. In Proceedings of the 2016 Summer Simulation Multiconference (SummerSim'16). [PDF]
C.33. J. Manuel Colmenar, J. Ignacio Hidalgo, Juan Lanchares, Oscar Garnica, José L. Risco-Martín, Iván Contreras, Almudena Sánchez and J. Manuel Velasco (2016). Compilable Phenotypes: Speeding-Up the Evaluation of Glucose Models in Grammatical Evolution. In Applications of Evolutionary Computation (19th European Conference, EvoApplications 2016). [DOI]
C.32. Ranjita Kumari Dash, José L. Risco-Martín and Ashok Kumar Turuk (2016). Bio-Inspired Thermal Management Techniques for Three Dimensional Heterogeneous Stacked Network-on-Chip Systems. In Proceedings of the 2016 International Conference on Bio-engineering for Smart Technologies (BioSMART 2016). [PDF]
C.31. Ranjita Kumari Dash, José L. Risco-Martín, Ashok Kumar Turuk and José L. Ayala (2016). A Thermal Driven Floorplanning Algorithm for Three Dimensional Network-on-Chip Systems. In Proceedings of the 2016 Summer Simulation Multiconference (SummerSim'16). [PDF]
C.30. Saurabh Mittal and José L. Risco-Martín (2016). DEVSML Studio: A Framework for Integrating Domain-Specific Languages for Discrete and Continuous Hybrid Systems into DEVS-Based M&S Environment. In Proceedings of the 2016 Summer Simulation Multiconference (SummerSim'16). [PDF]
C.29. Josué Pagán, José L. Risco-Martín, José M. Moya and Jose L. Ayala (2016). A Real-Time Framework for a DEVS-based Migraine Prediction Simulator System. In Actas de la XVII Conferencia de la Asociación Española para la Inteligencia Artificial. [PDF]
C.28. José L. Risco-Martín, Saurabh Mittal, Juan Carlos Fabero, Pedro Malagón and José L. Ayala (2016). Real-time Hardware/Software Co-Design Using DEVS-based Transparent M&S Framework. In Proceedings of the 2016 Summer Simulation Multiconference (SummerSim'16). [PDF]
C.27. Juan Carlos Salinas-Hilburg, Marina Zapater, José L. Risco-Martín, Jose Manuel Moya and Jose L. Ayala (2016). Unsupervised Power Modeling of Co-Allocated Workloads for Energy Efficiency in Data Centers. In DATE'16. [PDF]
C.26. Josefa Díaz Álvarez, J. Manuel Colmenar, José L. Risco-Martín and Juan Lanchares (2015). Optimización Multi-objetivo del Consumo de Energía y Tiempo de Ejecución en una Memoria Cache de primer nivel para Sistemas Empotrados. In X Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2015). , pp. 233-240.
C.25. ABSys, IM2, Esther Maqueda, Marta Botella and José Antonio Rubio (2015). Ajuste Probabilístico de Modelos de Glucosa obtenidos mediante Gramáticas Evolutivas. In X Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2015). , pp. 233-240.
Juan Carlos Salinas, Marina Zapater, José L. Risco-Martín, José Manuel Moya and José L Ayala (2015). Using Grammatical Evolution techniques to model the dynamic power consumption of enterprise servers. In Proceedings of the 9-th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS 2015).
C.24. Patricia Arroba, José L. Risco-Martín, Marina Zapater, José M. Moya, José L. Ayala and Katzalin Olcoz (2014). Evolutionary Power Modeling for High-end Servers in Cloud Data Centers. In In Mathematical Modelling in Engineering & Human Behaviour.
C.23. Patricia Arroba, José L. Risco-Martín, Marina Zapater, José M. Moya, José L. Ayala and Katzalin Olcoz (2014). Server Power Modeling for Run-time Energy Optimization of Cloud Computing Facilities. In Sustainability in Energy and Buildings.
C.22. Tolk, A., Mittal, S., (2014). A Necessary Paradigm Change to Enable Composable Cloud-based M&S Services, Winter Simulation Conference, Savannah, GA. (invited)
C.21. Mittal, S., (2014) Model Engineering in Cyber Complex Adaptive Systems, Workshop on Model Engineering, European Modeling and Simulation Symposium, EMSS'14, Bordeaux, France
C.20. Mittal, S., Zeigler, B.P., (2014) Modeling Attention-Switching in Resource-Constrained Complex Intelligent Dynamical Systems (RCIDS), Symposium on Theory of Modeling and Simulation/DEVS, Spring Simulation Multi-Conference, Tampa, FL
C.19. Mittal, S., Martin, J.L.R., (2013) Model-driven Systems Engineering in a Netcentric Environment with DEVS Unified Process, invited paper at Winter Simulation Conference, Washington, DC.
C.18. Mittal, S., Doyle, M.J., Watz, E., (2013) Detecting Intelligent Behavior with Environment Abstraction in Complex Air Combat Systems, IEEE Systems Conference, Orlando, FL
C.17. Mittal, S., Douglass, S.A., (2012) DEVSML 2.0: The Language and the Stack, Symposium on Theory of Modeling and Simulation, Spring Simulation Multiconference, Orlando, FL
C.16. Mittal, S., Douglass, S.A., (2011) From DSLs to DEVS Components: Applications to Cognitive M&S, Symposium on Theory of Modeling and Simulation, Spring Simulation Multiconference, Boston, MA.
C.15. Mittal, S., Douglass, S.A., (2011) Net-centric ACT-R Based Cognitive Architecture With DEVS Unified Process, Spring Simulation Multiconference, Boston, MA
C.14. Douglass, S.A., Mittal, S., (2011) Using Domain Specific Languages to Improve Scale and Integration of Cognitive Models, Behavior Representation in Modeling and Simulation(BRIMS), Utah,
C.13. Murano, A., Martin, J.L.R., Besada-Portas, E., Mittal, S., Aranda, J., (2009) DEVS/SOA: Towards DEVS Interoperability in Distributed M&S, IEEE/ACM International Symposium on Distributed and Real-time Applications
C.12: Mittal, S., Martin, J.L.R., Zeigler, B.P., (2008) WSDL-Based DEVS Agent for Net-Centric Systems Engineering, International Workshop on Modeling and Applied Simulation, Italy
C.11: Martin, J.L.R., Mittal, S., Atienza, D., Hidalgo, J.I., Lanchares, J., (2008) Optimization of Dynamic Data Types in Embedded Systems using DEVS/SOA-based Modeling and Simulation, 3rd International ICST Conference on Scalable Information Systems, Italy
C.10: Mittal, S., Zeigler, B.P., (2008) DEVS Unified Process for Web-Centric Development and Testing of System of Systems, Critical Issues in C4I, AFCEA-George Mason University Symposium
C.9: Zeigler, B.P., Mittal, S., Hu, X., (2008) Towards a Formal Standard for Interoperability in M&S/Systems of Systems Engineering, Critical Issues in C4I, AFCEA-George Mason University Symposium
C.8: Martin, J.L.R., Mittal, S., Zeigler, B.P., Cruz, J.M., (2007) From UML Statecharts to DEVS State Machines using XML, Multi-paradigm Modeling, IEEE/ACM International Conference on Model-Driven Engineering Languages and Systems, Nashville, TN, among Best papers invited to Transactions of SCS
C.7: Mittal, S., Martin, J.L.R., Zeigler, B.P., (2007) DEVS-Based Web Services for Net-centric T&E, Summer Computer Simulation Conference, San Diego, CA
C.6: Mittal, S., Martin, J.L.R., Zeigler, B.P., (2007) DEVSML: Automating DEVS Execution over SOA Towards Transparent Simulators, Special Session on DEVS Collaborative Execution and Systems Modeling over SOA, DEVS Integrative M&S Symposium DEVS' 07, Spring Simulation Multi-Conference
C.5: Martin, J.L.R., Mittal, S., Lopez-Pena, M.A., Cruz, J.M., (2007) A W3C XML Schema for DEVS Scenarios, DEVS Integrative M&S Symposium DEVS'07, Spring Simulation Multi-Conference
C.4: Mittal, S., Mitra, A., Gupta, A., Zeigler, B.P., (2006) Strengthening OV-6a Semantics with Rule-Based Meta-models in DEVS/DoDAF Based Life-cycle Architecture Development, IEEE-Information Reuse and Integration (IRI06) Conference, Special section on DoDAF, Hawaii
C.3: Zeigler, B.P., Mittal, S., (2005) Enhancing DoDAF with a DEVS-based System Lifecycle Development Process, In Proceedings of IEEE International Conference on Systems, Man and Cybernetics, SMC05, Hawaii
C.2: Mittal, S., Zeigler, B.P., (2005) Dynamic Simulation Control with Queue Visualization, Summer Computer Simulation Conference SCSC'05, Philadelphia, PA
C.1: Mittal, S., Wu, W., Zeigler, B.P., (2004) A Multiconstraint-Based Real-time Routing Scheme using Simulation Methodology, Summer Computer Simulation Conference, San Jose, CA