See Google Scholar for the most up to date information. Some pre-prints are available on ResearchGate.
Books
1. Crawley, E., Cameron, B., & Selva, D. (2015). Systems Architecture: Strategy and Product Development for Complex Systems. Hoboken: Prentice Hall. ISBN: 0133975576.
Journal papers
33. Dutta, P., Josan, P. K., Wong, R.K.W., Dunbar, B.J., Diaz-Artiles, A., and Selva, D. Are Explanations Helpful Under Uncertainty? Effects of Uncertainty in AI-Assisted Spacecraft Anomaly Diagnosis. Journal of Cognitive Engineering and Decision Making, 2025. https://doi.org/10.1177/15553434251392301
32. Dutta, P., Josan, P. K., Wong, R.K.W., Dunbar, B.J., Diaz-Artiles, A., and Selva, D. Effects of Explanations and Accuracy on Human Performance and Trust in AI-Assisted Anomaly Diagnosis Tasks. Journal of Cognitive Engineering and Decision Making. Accepted April 2025. https://doi.org/10.1177/15553434251338433
31. Van Bossuyt, D. L., et al. (including Selva, D.). The Future of Digital Twin Research and Development. ASME Journal of Computing and Information Science in Engineering, 25(8): 080801, 2025. https://doi.org/10.1115/1.4068082
30. Gorr, B., Aguilar Jaramillo, A., Gao, H., Selva, D., Mehta, A., Sun, Y., Ravindra, V., David, C.H., and Allen, G.H. Decentralized Satellite Constellation Replanning for Event Observation. Journal of Spacecraft and Rockets, Vol. 62, No. 4, pp. 1170–1188, 2025. https://doi.org/10.2514/1.A36143
29. Josan, P. K., Dutta, P., Abbott, R., Viros, A., Wong, R.K.W., Dunbar, B.J., Selva, D., and Diaz-Artiles, A. Virtual Assistant for Spacecraft Anomaly Resolution: Effects on Human Performance Metrics. Journal of Aerospace Information Systems, Vol. 22, No. 4, pp. 264–274, 2025. https://doi.org/10.2514/1.I011449
28. Gorr, B., Selva, D., Gao, H., Ellis, E., Morgan, J., Stroud, M., Li, Y., and Allen, G. Design of a Satellite Constellation for Monitoring Inland Water Quality. Acta Astronautica, Vol. 219, 2024, pp. 875–888. https://doi.org/10.1016/j.actaastro.2024.03.062
27. Apaza, G. and Selva, D. Leveraging Large Language Models for Tradespace Exploration. Journal of Spacecraft and Rockets, Vol. 61, No. 5, 2024, pp. 1165–1183. https://doi.org/10.2514/1.A35834
26. Stroud, M., Allen, G., Simard, M., Jensen, D., Gorr, B., and Selva, D. Optimizing satellite mission requirements to measure total suspended solids in rivers. IEEE Transactions on Geoscience and Remote Sensing, Vol. 62, 2024. https://doi.org/10.1109/TGRS.2023.3337641
25. Suresh Kumar, R., Srivatsa, S., Baker, E., Silberstein, M., and Selva, D. Identifying and Leveraging Promising Design Heuristics for Multiobjective Combinatorial Design Optimization. Journal of Mechanical Design, 145(12): 121702, 2023. https://doi.org/10.1115/1.4063238
24. Gorr, B., Ravindra, V., Aguilar Jaramillo, A., Nag, S., Moghaddam, M., and Selva, D. Multi-Objective Optimization of an Intelligent Soil Moisture Monitoring Satellite Constellation. Journal of Spacecraft and Rockets, Vol. 60, No. 4, 2023. https://doi.org/10.2514/1.A35558
23. Chaudhari, A. M. and Selva, D. Evaluating Designer Learning and Performance in Interactive Deep Generative Design. Journal of Mechanical Design, 145(5): 051403, 2023. https://doi.org/10.1115/1.4056374
22. Garcia-Buzzi, P. and Selva, D. Multi-objective evolutionary formulations for design of hybrid Earth observing constellations. Acta Astronautica, Vol. 200, 2022, pp. 420–434. https://doi.org/10.1016/j.actaastro.2022.08.013
21. Srivatsa, S., Suresh Kumar, R., Selva, D., and Silberstein, M. N. Examining the Impact of Asymmetry in Lattice-Based Mechanical Metamaterials. Mechanics of Materials, Vol. 172, 104386, 2022. https://doi.org/10.1016/j.mechmat.2022.104386
20. Santini De Leon, S., Way, D. W., and Selva, D. Improving Rule Mining for Entry, Descent, and Landing Simulations using Knowledge Graphs. AIAA Journal of Aerospace Information Systems, Vol. 19, No. 9, 2022, pp. 598–612. https://doi.org/10.2514/1.I011063
19. Pereira, F., Reed, P., and Selva, D. Multi-objective design of a Lunar GNSS. NAVIGATION: Journal of the Institute of Navigation, Vol. 69(1), March 2022. https://doi.org/10.33012/navi.504
18. Garcia-Buzzi, P., Selva, D., and Sanchez-Net, M. Autonomous Delay Tolerant Network Management Using Reinforcement Learning. AIAA Journal of Aerospace Information Systems, Vol. 18(7), pp. 404–416, 2021. https://doi.org/10.2514/1.I010920
17. Pereira, F. and Selva, D. Tradespace analysis of GNSS Space Segment Architectures. IEEE Transactions on Aerospace and Electronic Systems, Vol. 57(1), pp. 155–174, 2021. https://doi.org/10.1109/TAES.2020.3010666
16. Bang, H. and Selva, D. Discovering generalized design knowledge using a multiobjective evolutionary algorithm with generalization operators. Expert Systems with Applications, Vol. 143, 113025, 2020. https://doi.org/10.1016/j.eswa.2019.113025
14. Buzzi, P. G., Selva, D., Hitomi, N., & Blackwell, W. J. (2019). Assessment of constellation designs for earth observation: Application to the TROPICS mission. Acta Astronautica. https://doi.org/10.1016/j.actaastro.2019.05.007
13. Araguz, C., Marí, M., Bou-Balust, E., Alarcon, E., & Selva, D. (2018). Design Guidelines for General-Purpose Payload-Oriented Nanosatellite Software Architectures. Journal of Aerospace Information Systems, 15(3), 107–119. https://doi.org/10.2514/1.I010537
12. Hitomi, N., & Selva, D. (2018). Incorporating expert knowledge into evolutionary algorithms with operators and constraints to design satellite systems. Applied Soft Computing Journal, 66(May 2018), 330–345. https://doi.org/10.1016/j.asoc.2018.02.017
11. Hitomi, N., Bang, H., & Selva, D. (2018). Adaptive Knowledge-Driven Optimization for Architecting a Distributed Satellite System. Journal of Aerospace Information Systems, 15(8), 485–500. https://doi.org/10.2514/1.I010595
10. Gallud Cidoncha, X., & Selva, D. (2018). Agent-based simulation framework and consensus algorithm for observing systems with adaptive modularity. Systems Engineering, 21(5), 432–454. https://doi.org/10.1002/sys.21433
9. Hitomi, N., & Selva, D. (2017). A Classification and Comparison of Credit Assignment Strategies in Multiobjective Adaptive Operator Selection. IEEE Transactions on Evolutionary Computation, 21(2), 294–314. https://doi.org/10.1109/TEVC.2016.2602348
8. Selva, D., Cameron, B. G., & Crawley, E. F. (2017). Patterns in System Architecture Decisions. Systems Engineering, 19(6), 477–497. https://doi.org/10.1002/sys.21370
7. Selva, D., Golkar, A., Korobova, O., Lluch i Cruz, I., Collopy, P., & De Weck, O. L. (2017). Distributed Earth Satellite Systems: What Is Needed to Move Forward? Journal of Aerospace Information Systems, 14(Special Issue on Federated and Fractionated Satellite Systems (2017)), 412–438. https://doi.org/10.2514/1.I010497
Golkar, A., Selva, D., & De Weck, O. (2017). Introduction to the special issue on federated and fractionated satellite systems. Journal of Aerospace Information Systems, 14(8), 411–411. https://doi.org/10.2514/1.I010545
6. Knerr, N., & Selva, D. (2016). Cityplot: Visualization of High-Dimensional Design Spaces With Multiple Criteria. Journal of Mechanical Design, 138(9), 091403. https://doi.org/10.1115/1.4033987
5. Sanchez-Net, M., Del Portillo, I., Cameron, B. G., Crawley, E. F., & Selva, D. (2015). Integrated Tradespace Analysis of Space Network Architectures. Journal of Aerospace Information Systems, 12(8), 564–578. https://doi.org/10.2514/1.I010356
4. Selva, D., Cameron, B. G., & Crawley, E. F. (2014). Rule-Based System Architecting of Earth Observing Systems: Earth Science Decadal Survey. Journal of Spacecraft and Rockets, 51(5), 1505–1521. https://doi.org/10.2514/1.A32656
3. Selva, D., Cameron, B., & Crawley, E. F. (2014). A rule-based method for scalable and traceable evaluation of system architectures. Research in Engineering Design, 25(4), 325–349. https://doi.org/10.1007/s00163-014-0180-x
2. Selva, D., & Krejci, D. (2012). A survey and assessment of the capabilities of Cubesats for Earth observation. Acta Astronautica, 74(May-June 2012), 50–68. https://doi.org/10.1016/j.actaastro.2011.12.014
1. Vall-Llossera, M., Camps, A., Corbella, I., Torres, F., Duffo, N., Monerris, A., … Saleh, K. (2005). SMOS REFLEX 2003: L-band emissivity characterization of vineyards. IEEE Transactions on Geoscience and Remote Sensing, 43(5). https://doi.org/10.1109/TGRS.2005.844102
Peer-reviewed conference papers
85. Demagall, A. and Selva, D. Spacecraft Component and Configuration Design with Reinforcement Learning Trained Transformers. AIAA SciTech 2026 Forum. https://doi.org/10.2514/6.2026-0908
84. Fornos, D., Selva, D., Demagall, A., Grogan, P., and Ravindra, V. Flexible Open-Source Tool Ecosystem For Automated Tradespace Analysis And Exploration Of Earth Observation Missions. IGARSS 2025.
83. Demagall, A., Apaza, G., and Selva, D. Structural and Component Configuration Design Exploration Using a Reinforcement Learning Trained Transformer. ASME IDETC/CIE 2025. https://doi.org/10.1115/DETC2025-169681
82. Demagall, A., Apaza, G., and Selva, D. Leveraging Deep Reinforcement Learning for Spacecraft Configuration Design. 2025 IEEE Aerospace Conference. https://doi.org/10.1109/AERO63441.2025.11068475
81. Demagall, A., Apaza, G., and Selva, D. Spacecraft Configuration Design Exploration Through Transformer-Based Reinforcement Learning. AIAA SciTech 2025 Forum. https://doi.org/10.2514/6.2025-0894
80. Ravindra, V., Stroud, M., Allen, G., Selva, D., Godsey, S., Fritz, K., Honsen, J., Busch, M., and Gao, S. Optimizing Monitoring Routes for Electric Vehicles With Access to Multiple Charging Stations Using Mixed Integer Programming: Case Study With Non-Perennial Rivers. AIAA SciTech 2025 Forum. https://doi.org/10.2514/6.2025-2284
79. Aguilar Jaramillo, A., Gorr, B., Gao, H., Mehta, A., Sun, Y., Ravindra, V., David, C., Allen, G., and Selva, D. Decentralized Consensus-Based Algorithms for Satellite Observation Reactive Planning with Complex Dependencies. AIAA SciTech 2025 Forum. https://doi.org/10.2514/6.2025-1148
78. Gorr, B., Aguilar, A., Wu, Z., Cho, W., Cheng, K., Stroud, M., Ravindra, V., David, C., Gao, H., Sun, Y., Mehta, A., Allen, G., and Selva, D. Reactive Planning Strategy for Event-Driven Observation in Heterogeneous Sensor Webs. 2024 IEEE IGARSS. DOI: 10.1109/IGARSS53475.2024.10641116
77. Erwin, C., Gorr, B., and Selva, D. Task Planning Strategies for a Remote Sensing Water Quality Mission. 2024 AIAA SciTech Forum. DOI: 10.2514/6.2024-2893
76. Song, H., Viros-i-Martin, A., and Selva, D. Effect of Reflection and Incubation on AI-Assisted Design Space Exploration. ASME IDETC/CIE 2023. DOI: 10.1115/DETC2023-116576
75. Song, H., Viros-i-Martin, A., and Selva, D. Understanding the Relation Between Designer Search Strategies and Designer Learning During Design Space Exploration. ASME IDETC/CIE 2023. DOI: 10.1115/DETC2023-116984
74. Gorr, B., Aguilar, A., Wu, Z., Cho, W., Cheng, K., Stroud, M., Ravindra, V., David, C., Gao, H., Sun, Y., Mehta, A., Allen, G., and Selva, D. Multi-Instrument Flood Monitoring With A Distributed, Decentralized, Dynamic And Context-Aware Satellite Sensor Web. 2023 IEEE IGARSS. DOI: 10.1109/IGARSS52108.2023.10282257
73. Aguilar, A., Gorr, B., Selva, D., et al. Decentralized Market-Based Observation Assignment Strategy for Dynamic Networks in Sensor Web Mission Concepts. 2023 IEEE IGARSS. DOI: 10.1109/IGARSS52108.2023.10282528
72. Dutta, P., Josan, P.K., Wong, R.K.W., Dunbar, B.J., Diaz-Artiles, A., and Selva, D. Effect of Explanations in AI-Assisted Anomaly Treatment for Human Spaceflight Mission. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Vol. 66, No. 1, pp. 697–701, 2022. DOI: 10.1177/1071181322661482
71. Kannan, A., Tsagkatakis, G., Akbar, R., Selva, D., Ravindra, V., Levinson, R., Nag, S., and Moghaddam, M. Forecasting Soil Moisture Using A Deep Learning Model Integrated With Passive Microwave Retrieval. 2022 IEEE IGARSS. DOI: 10.1109/IGARSS46834.2022.9883245
70. Viros-i-Martin, A. and Selva, D. Improving Designer Learning in Design Space Exploration by Adapting to the Designer’s Learning Goals. ASME IDETC/CIE 2022. DOI: 10.1115/DETC2022-89207
69. Song, H., Selva, D., and McAdams, D. Patent Mining to Understand Functional Evolution of Engineering Systems. ASME IDETC/CIE 2022. DOI: 10.1115/DETC2022-89405
68. Chaudhari, A. M. and Selva, D. Evaluating Designer Learning and Performance in Interactive Deep Generative Design. ASME IDETC/CIE 2022. DOI: 10.1115/DETC2022-90477
67. Selva, D., Allen, G.H., Gao, H., Gorr, B., Aguilar Jaramillo, A., Viros-i-Martin, A., Sun, Y., Mehta, A., Nag, S., Ravindra, V., and David, C. 3D-CHESS: Decentralized, Distributed, Dynamic, and Context-Aware Heterogeneous Sensor Systems. 2022 AAAI Spring Symposium.
66. Pereira, F. and Selva, D. Analysis of Navigation Performance with Lunar GNSS Evolution. 2022 International Technical Meeting, Institute of Navigation, pp. 514–529. DOI: 10.33012/2022.18210
65. Short, A.-R., Dutta, P., Gorr, B., Bedrosian, L., and Selva, D. Representing and Analyzing Sequential Satellite Mission Design Decisions through Anisomorphic Trees and Directed Graphs. 2022 AIAA SciTech Forum. https://doi.org/10.2514/6.2022-0925
64. Simpson, B., Selva, D., and Richardson, D. Extracting Science Traceability Graphs from Mission Concept Documentation using Natural Language Processing. 2022 AIAA SciTech Forum. https://doi.org/10.2514/6.2022-1182
63. Viros Martin, A. and Selva, D. A Framework to Study Human-AI Collaborative Design Space Exploration. ASME IDETC/CIE 2021. https://doi.org/10.1115/DETC2021-67619
62. Suresh Kumar, R., Srivatsa, S., Silberstein, M., and Selva, D. Leveraging Design Heuristics for Multi-Objective Metamaterial Design Optimization. ASME IDETC/CIE 2021. https://doi.org/10.1115/DETC2021-71226
61. Chaudhari, A. and Selva, D. Supporting Designer Learning and Performance in Design Space Exploration: A Goal-Setting Approach. ASME IDETC/CIE 2021. https://doi.org/10.1115/DETC2021-71257
60. Gorr, B., Aguilar, A., Selva, D., Ravindra, V., Moghaddam, M., and Nag, S. Heterogeneous Constellation Design for A Smart Soil Moisture Radar Mission. 2021 IEEE IGARSS. https://doi.org/10.1109/IGARSS47720.2021.9553234
59. Nag, S., Moghaddam, M., Selva, D., Frank, J., Ravindra, V., Levinson, R., Azemati, A., Gorr, B., Li, A., and Akbar, R. Soil Moisture Monitoring Using Autonomous and Distributed Spacecraft (D-SHIELD). 2021 IEEE IGARSS. https://doi.org/10.1109/IGARSS47720.2021.9554823
58. Woodruff, R., Beebe, N., Josan, P.K., Wong, R.K.W., Dunbar, B.J., Selva, D., and Diaz-Artiles, A. 3D Interactive Model of HERA to Support ECLSS Anomaly Resolution Using a Virtual Assistant. 2021 IEEE Aerospace Conference. https://doi.org/10.1109/AERO50100.2021.9438341
57. Josan, P. K., Beebe, N., Kluis, L., York, K., Viros, A., Woodruff, R., Dunbar, B.J., Wong, R.K.W., Selva, D., and Diaz-Artiles, A. Experimental Design & Pilot Testing for ECLSS Anomaly Resolution Using Daphne-AT Virtual Assistant. 2021 IEEE Aerospace Conference. https://doi.org/10.1109/AERO50100.2021.9438497
56. Gorr, B. and Selva, D. Assessing the value of on-board image processing in observation task planning: the cloud mask problem. 2021 AIAA SciTech Forum. https://doi.org/10.2514/6.2021-1468
55. Viros Martin, A., Cheng, K., Fang, A., Zheng, Z., Kress-Gazit, H., Mehta, A., Selva, D., and Sun, Y. Decentralized Context-Based On-Board Planning for Earth Observation Missions. 2021 AIAA SciTech Forum. https://doi.org/10.2514/6.2021-1469
54. Garcia-Buzzi, P., Selva, D., and Sanchez-Net, M. Exploring Reinforcement Learning for Autonomous Delay Tolerant Network Management. 2020 AIAA ASCEND. https://doi.org/10.2514/6.2020-4007
53. Nag, S., Moghaddam, M., Selva, D., and Frank, J. D-SHIELD: Distributed Spacecraft With Heuristic Intelligence to Enable Logistical Decisions. 2020 IEEE IGARSS. https://doi.org/10.1109/IGARSS39084.2020.9323248
52. Viros i Martin, A., Selva, D., and Alimo, R. Scheduling Mission Reconfiguration for an Interferometry SAR using Deep Reinforcement Learning. 2020 IEEE IGARSS. https://doi.org/10.1109/IGARSS39084.2020.9324371
51. Pereira, F. and Selva, D. Exploring the Design Space of Lunar GNSS in Frozen Orbit Conditions. 2020 IEEE/ION PLANS. https://doi.org/10.1109/PLANS46316.2020.9110202
50. Viros Martin, A. and Selva, D. Learning comes from Experience: The Effects on Human Learning and Performance of a Virtual Assistant for Design Space Exploration. Design Computing and Cognition ’20. https://doi.org/10.1007/978-3-030-90625-2_39
49. Bang, H. and Selva, D. Measuring human learning in design space exploration to assess effectiveness of knowledge discovery tools. ASME IDETC/CIE 2020. https://doi.org/10.1115/DETC2020-22633
48. Garcia Buzzi, P. and Selva, D. Evolutionary formulations for design of heterogeneous Earth observing constellations. 2020 IEEE Aerospace Conference. https://doi.org/10.1109/AERO47225.2020.9172715
47. Santini De Leon, S., Selva, D., and Way, D. W. Interactive Explanation of Entry, Descent, and Landing Simulations. AIAA SciTech Forum 2020. https://doi.org/10.2514/6.2020-2094
46. Pereira, F., Selva, D. (2020). Exploring the Design Space of Lunar GNSS in Frozen Orbit Conditions. 2020 IEEE/ION Position, Location and Navigation Symposium (PLANS), Portland, OR, USA, 2020, pp. 444-451, https://doi.org/10.1109/PLANS46316.2020.9110202
45. Pereira, F., Selva, D. (2019). Exploring the Architecture Trade Space of NextGen Global Navigation Satellite Systems,” 2019 IEEE Aerospace Conference, Big Sky, MT, USA, 2019, pp. 1-13, https://doi.org/10.1109/AERO.2019.8741849
44. Santini, S., León, D., Selva, D., & Way, D. W. (2019). A Cognitive Assistant for Entry, Descent, and Landing Architecture Analysis. IEEE Aerospace Conference Proceedings.
43. Viros Martin, A., & Selva, D. (2019). From Design Assistants to Design Peers: Turning Daphne into an AI Companion for Mission Designers. AIAA Information Systems-AIAA Infotech at Aerospace, 2019. https://doi.org/10.2514/6.2019-0402
42. Sease, M., Smith, B., Selva PhD, D., & Hummell, J. (2018). Setting Priorities: Demonstrating Stakeholder Value Networks in SysML. INCOSE International Symposium, 28(1), 1207–1220. https://doi.org/10.1002/j.2334-5837.2018.00543.x
41. De León, S. S., & Selva, D. (2018). A rule-based tool for science traceability of Mars exploration mission architectures. IEEE Aerospace Conference Proceedings. https://doi.org/10.1109/AERO.2018.8396804
40. Lily Shi, Bang, H., Hoffman, G., Selva, D., & Yoon, S.-Y. (2018). Cognitive style and field knowledge in complex design problem solving: A comparative case study of decision support systems. Design Computing and Cognition ’18.
39. Hitomi, N., & Selva, D. (2018). Constellation optimization using an evolutionary algorithm with a variable-length chromosome. IEEE Aerospace Conference Proceedings, 2018-March, 1–12. https://doi.org/10.1109/AERO.2018.8396743
38. Bang, H., Viros, A., Prat, A., & Selva, D. (2018). Daphne : An Intelligent Assistant for Architecting Earth Observing Satellite Systems. 2018 AIAA Information Systems-AIAA Infotech @ Aerospace, AIAA SciTech Forum, 1–14. https://doi.org/10.2514/6.2018-1366
37. Bang, H., Shi, Y. L. Z., Yoon, S.-Y., Hoffman, G., & Selva, D. (2018). Exploring the Feature Space to Aid Learning in Design Space Exploration. Design Computing and Cognition’18.
36. Selva, D., & Dutta, P. (2018). Is there a future for GEO-based weather monitoring? The coverage-cost argument. 2018 International Geoscience and Remote Sensing Symposium (IGARSS). Valencia, Spain.
35. Law, M., Dhawan, N., Bang, H., Yoon, S.-Y., Selva, D., & Hoffman, G. (2018). Side-by-side Human-Computer Design using a Tangible User Interface. Design Computing and Cognition ’18.
34. Hitomi, N., Bang, H., & Selva, D. (2017). Extracting and Applying Knowledge with Adaptive Knowledge-driven Optimization to Architect and Earth Observing Satellite System. AIAA Infotech@Aerospace Conference. https://doi.org/10.2514/6.2017-0794
33. Bang, H., & Selva, D. (2017). Leveraging Logged Intermediate Design Attributes For Improved Knowledge Discovery In Engineering Design. Proceedings of the ASME 2017 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference IDETC/CIE 2017.
32. Knerr, N. S., & Selva, D. (2017). Mining Multi-Objective Minimal Commitment Decision Significance via Cluster-and-Change. 58th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, AIAA SciTech Forum. https://doi.org/10.2514/1.C000311
31. Stojanovski, Z., & Selva, D. (2017). Optimizing Commonality and Performance in Platform-Based Earth Observing SmallSat Architectures. 2017 IEEE Aerospace Conference.
30. Selva, D., Dingwall, B., & Altunc, S. (2016). A concept for an Agile Mission Development Facility for CubeSat and suborbital missions. IEEE Aerospace Conference Proceedings. https://doi.org/10.1109/AERO.2016.7500564
29. Hitomi, N., & Selva, D. (2016). A hyper-heuristic approach to leveraging domain knowledge in multi-objective evolutionary algorithms. Proceedings of the ASME 2016 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference IDETC/CIE 2016. https://doi.org/10.1115/DETC2016-59870
28. Patel, R., Paleari, W., & Selva, D. (2016). Architecture Study of an Energy Microgrid. 2016 11th System of Systems Engineering Conference (SoSE), 1–8. https://doi.org/10.1109/SYSOSE.2016.7542932
27. Bang, H., & Selva, D. (2016). iFEED: Interactive Feature Extraction for Engineering Design. Proceedings of the ASME 2016 International Design Engineering Technical Conferences {&} Computers and Information in Engineering Conference IDETC/CIE 2016, 1–11. https://doi.org/10.1115/DETC2016-60077
26. Jacobs, M., & Selva, D. (2015). A CubeSat catalog design tool for a multi-agent architecture development framework. IEEE Aerospace Conference Proceedings, 2015-June. https://doi.org/10.1109/AERO.2015.7119240
25. Das, S. J., Selva, D., & Golkar, A. (2015). An intelligent spacecraft configuration tool for mission architecture space exploration. AIAA SPACE 2015 Conference and Exposition. https://doi.org/10.2514/6.2015-4439
24. Helmuth, D. B., Selva, D., & Dwyer, M. M. (2015). Collaboration Pathway(s) using New Tools for Optimizing “Operational” Climate Monitoring from Space. Proceedings of SPIE – The International Society for Optical Engineering, 9607. https://doi.org/10.1117/12.2187157
23. Hitomi, N., & Selva, D. (2015). Experiments with Human Integration in Asynchronous and Sequential Multi-Agent Frameworks for Architecture Optimization. Procedia Computer Science, 44(C), 393–402. https://doi.org/10.1016/j.procs.2015.03.024
22. Del Portillo, I., Bou, E., Alarcon, E., Sanchez-Net, M., Selva, D., & Alvaro, A. (2015). On scalability of Fractionated Satellite Network architectures. IEEE Aerospace Conference Proceedings, 2015-June. https://doi.org/10.1109/AERO.2015.7119143
21. Selva, D., Abello, C., & Hitomi, N. (2015). Preliminary Experiments with Learning Agents in an Interactive Multi-agent Systems Architecture Tradespace Exploration Tool. IEEE Systems Conference SysCon 2015. https://doi.org/10.1109/SYSCON.2015.7116791
20. Hitomi, N., & Selva, D. (2015). The effect of credit definition and aggregation strategies on multi-objective hyper-heuristics. ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference., 2B-2015. https://doi.org/10.1115/DETC201547445
19. Helmuth, D. B., Selva, D., & Dwyer, M. M. (2014). Collaboration pathway(s) using new tools for optimizing “operational” climate monitoring from space. Proceedings of SPIE – The International Society for Optical Engineering, 9241. https://doi.org/10.1117/12.2067427
18. Selva, D. (2014). Development of a test-bed for knowledge-intensive system architecture optimization. Systems, Man and Cybernetics (SMC), 2014 IEEE International Conference On, 2014-Janua(January), 3394–3398. https://doi.org/10.1109/smc.2014.6974452
17. Selva, D. (2014). Experiments in Knowledge-intensive System Architecture: Interactive Architecture Optimization. 2014 IEEE Aerospace Conference. https://doi.org/10.1109/AERO.2014.6836282
16. Sanchez Net, M., Selva, D., & Golkar, A. (2014). Exploring classification algorithms for early mission formulation cost estimation. IEEE Aerospace Conference Proceedings, 1–14. https://doi.org/10.1109/AERO.2014.6836326
15. Dwyer, M., Selva, D., Portillo, I. D., Sanchez-Net, M., Cameron, B., Szajnfarber, Z., & Crawley, E. (2014). Exploring the trade-offs of aggregated versus disaggregated architectures for environmental monitoring in low-earth orbit. AIAA SPACE 2014 Conference and Exposition. https://doi.org/10.2514/6.2014-4416
14. Selva, D. (2014). Knowledge-intensive global optimization of Earth observing system architectures: a climate-centric case study. SPIE Remote Sensing, 9241, 92411S-92411S. https://doi.org/doi:10.1117/12.2067558
13. Sanchez, M., Selva, D., Cameron, B., Crawley, E., Seas, A., & Seery, B. (2014). Results of the MIT Space Communication and Navigation Architecture Study. 2014 IEEE Aerospace Conference, Big Sky, Montana. https://doi.org/10.1109/AERO.2014.6836339
12. Dwyer, M., Szajnfarber, Z., Selva, D., & Crawley, E. F. (2014). The Cost of Jointness and How to Manage It. AIAA Space 2014, (August), 1–13. https://doi.org/10.2514/6.2014-4443
11. Sanchez, M., Selva, D., Cameron, B., Crawley, E., Seas, A., & Seery, B. (2013). Exploring the Architectural Trade Space of NASA’s Space Communication and Navigation Program. Aerospace Conference, 2013 IEEE. https://doi.org/10.1109/AERO.2013.6497173
10. Dyrud, L., Fentzke, J., Bust, G., Erlandson, B., Whitely, S., Bauer, B., … Trenberth, K. (2013). GEOScan: A global, real-time geoscience facility. IEEE Aerospace Conference Proceedings. https://doi.org/10.1109/AERO.2013.6497141
9. Selva, D., & Krejci, D. (2013). Preliminary Assessment of Performance and Cost of a Cubesat Component of the Earth Science Decadal Survey. 27th Annual AIAA/USU Conference on Small Satellites.
8. Dwyer, M., Selva, D., Cameron, B., Crawley, E., & Szajnfarber, Z. (2013). The impact of technical complexity on the decision to collaborate and combine. 2013 IEEE Aerospace Conference. https://doi.org/10.1109/AERO.2013.6496898
7. Selva, D., & Crawley, E. F. (2013). VASSAR: Value assessment of system architectures using rules. Aerospace Conference, 2013 IEEE. https://doi.org/10.1109/AERO.2013.6496936
6. Selva, D., & Crawley, E. F. (2012). A rule-based decision support tool for architecting Earth observing missions. 2012 IEEE Aerospace Conference. https://doi.org/10.1109/AERO.2012.6187439
5. Selva, D., & Crawley, E. F. (2011). Exploring packaging architectures for the Earth science decadal survey. 2011 IEEE Aerospace Conference. https://doi.org/10.1109/AERO.2011.5747651
4. Selva, D., & Crawley, E. F. (2010). Integrated assessment of packaging architectures in Earth observing programs. Aerospace Conference, 2010 IEEE, 3–12. https://doi.org/10.1109/AERO.2010.5446885
3. Cunio, P. M., Babuscia, A., Bailey, Z. J., Chaurasia, H., Goel, R., Golkar, A. A., … Miller, D. W. (2009). Initial Development of an Earth-Based Prototype for a Lunar Hopper Autonomous Exploration System. AIAA Space 2009 Conference and Exposition. https://doi.org/10.2514/6.2009-6713
2. Krueger, J. K., Selva, D., Smith, M. W., & Keesee, J. (2009). Spacecraft and constellation design for a continuous responsive imaging system in space. AIAA Space 2009 Conference and Exposition. https://doi.org/10.2514/6.2009-6773
1. Selva Valero, D. (2002). Near-Far Field Corrections in the Measurement of an Interferometric Two-Dimensional Radiometer in Anechoic Chambers. IAF Abstracts, 34th COSPAR Scientific Assembly, Vol. 1, 100.
Theses
1. Selva Valero, D. (2012). Rule-based system architecting of Earth observation satellite systems. PhD Dissertation. Massachusetts Institute of Technology, Cambridge, MA.