Scientific foundations of resilient socio-technical systems

1. Karumuri, S., Tripathy, R., Bilionis, I., and Panchal, J. (2019). Simulator-free Solution of High-Dimensional Stochastic Elliptic Partial Differential Equations using Deep Neural Networks. arXiv preprint arXiv:1902.05200, . Cited by 3. [ http ]

2. Safarkhani, S., Kattakuri, V. R., Bilionis, I., and Panchal, J. (2019). A Principal-Agent Model of Systems Engineering Processes with Application to Satellite Design. arXiv preprint arXiv:1903.06979, . Cited by 1. [ http ]

3. Chaduvula, S. C., Atallah, M. J., and Panchal, J. H. (2019). sFEA: A secure finite element analysis technique. Journal of Computing and Information Science in Engineering, American Society of Mechanical Engineers. [ http ]

4. Sha, Z., Chaudhari, A. M., and Panchal, J. H. (2019). Modeling participation behaviors in design crowdsourcing using a bipartite network-based approach. Journal of Computing and Information Science in Engineering, American Society of Mechanical Engineers. [ http ]

5. Safarkhani, S., Bilionis, I., and Panchal, J. (2019). Towards a Theory of Systems Engineering Processes: A Principal-Agent Model of a One-Shot, Shallow Process. arXiv preprint arXiv:1903.12086, . [ http ]

6. Gkartzonikas, C., and Gkritza, K. (2019). What have we learned? A review of stated preference and choice studies on autonomous vehicles. Other, Pergamon. Cited by 11. [ http ]

7. Nahvi, A., Pyrialakou, V. D., Anand, P., Sadati, S. S., Gkritza, K., Ceylan, H., Cetin, K., Kim, S., Gopalakrishnan, K., and Taylor, P. C. (2019). Integrated stochastic life cycle benefit cost analysis of hydronically-heated apron pavement system. Journal of Cleaner Production, Elsevier. Cited by 4. [ http ]

8. Chacon-Hurtado, D., Gkritza, K., Fricker, J. D., and Yu, D. J. (2019). Exploring the role of worker income and workplace characteristics on the journey to work. Other, Taylor & Francis. Cited by 1. [ http ]

9. Chacon-Hurtado, D., Kumar, I., Gkritza, K., and Fricker, J. D. (2019). Analysis of Spatial Mismatch and Equity using Commuting and Labor Sheds: Trends in Indiana. Transportation Research Record, SAGE Publications. [ http ]

10. Pyrialakou, V. D., Gkritza, K., and Liu, S. S. (2019). The use of focus groups to foster stakeholder engagement in intercity passenger rail planning. Case Studies on Transport Policy, Elsevier. [ http ]

11. Ke, Y., and Gkritza, K. (2019). Light rail transit and housing markets in Charlotte-Mecklenburg County, North Carolina: Announcement and operations effects using quasi-experimental methods. Journal of Transport Geography, Pergamon. [ http ]

12. Ke, Y., and Gkritza, K. (2019). Safety ramifications of a change in pedestrian crosswalk law: A case study of Oregon, USA. International Journal of Transportation Science and Technology, Elsevier. [ http ]

13. Montgomery, S. R., Gkritza, K., and Haddock, J. E. (2019). Factors Affecting the Accuracy and Variability of Pavement Surface Evaluations and Ratings. Journal of Infrastructure Systems, American Society of Civil Engineers. [ http ]

14. Losada-Rojas, L. L., Gkartzonikas, C., Pyrialakou, V. D., and Gkritza, K. (2019). Exploring intercity passengers’ attitudes and loyalty to intercity passenger rail: Evidence from an on-board survey. Transport Policy, Pergamon. [ http ]

15. Dachowicz, A., Chaduvula, S. C., Atallah, M. J., Bilionis, I., and Panchal, J. H. (2018). Strategic information revelation in collaborative design. Advanced Engineering Informatics, Elsevier. Cited by 4. [ http ]

16. Thomas, T., Koo, J., and Bagchi, S. (2017). Minerva: A reinforcement learning-based technique for optimal scheduling and bottleneck detection in distributed factory operations. Other, https://engineering.purdue.edu/dcsl/publications/papers/2017/final_minerva_comsnets18_cameraready.pdf. [ http ]

17. Sakka, L., Sundararajah, K., and Kulkarni, M. (2017). TreeFuser: a framework for analyzing and fusing general recursive tree traversals. Proceedings of the ACM on Programming Languages, ACM. Cited by 7. [ http ]

18. Hegde, N., Liu, J., Sundararajah, K., and Kulkarni, M. (2017). Treelogy: A benchmark suite for tree traversals. Other, IEEE. Cited by 4. [ http ]

19. Vollmer, M., Spall, S., Chamith, B., Sakka, L., Koparkar, C., Kulkarni, M., Tobin-Hochstadt, S., and Newton, R. R. (2017). Compiling Tree Transforms to Operate on Packed Representations. Other, Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik. Cited by 4. [ http ]

20. Notarnicola, I., Sun, Y., Scutari, G., and Notarstefano, G. (2017). Distributed big-data optimization via block-iterative convexification and averaging. Other, IEEE. Cited by 12. [ http ]

21. Facchinei, F., Lampariello, L., and Scutari, G. (2017). Feasible methods for nonconvex nonsmooth problems with applications in green communications. Mathematical Programming, Springer Berlin Heidelberg. Cited by 12. [ http ]

22. Mokhtari, A., Koppel, A., Scutari, G., and Ribeiro, A. (2017). Large-scale nonconvex stochastic optimization by doubly stochastic successive convex approximation. University of Pennsylvania Technical Report, . Cited by 7. [ http ]

23. Facchinei, F., Kungurtsev, V., Lampariello, L., and Scutari, G. (2017). Ghost penalties in nonconvex constrained optimization: Diminishing stepsizes and iteration complexity. arXiv preprint arXiv:1709.03384, . Cited by 4. [ http ]

24. Cannelli, L., Facchinei, F., and Scutari, G. (2017). Multi-Agent asynchronous nonconvex large-scale optimization. Other, IEEE. Cited by 3. [ http ]

25. Daneshmand, A., Sun, Y., Scutari, G., and Facchinei, F. (2017). D2L: Decentralized dictionary learning over dynamic networks. Other, IEEE. Cited by 1. [ http ]

26. Thekinen, J., and Panchal, J. H. (2016). Resource allocation in cloud-based design and manufacturing: A mechanism design approach. Journal of Manufacturing Systems, Elsevier. Cited by 14. [ http ]

27. Pandita, P., Bilionis, I., and Panchal, J. (2016). Extending Expected Improvement for High-Dimensional Stochastic Optimization of Expensive Black-Box Functions. Journal of Mechanical Design, American Society of Mechanical Engineers. Cited by 12. [ http ]

28. Shergadwala, M., Kannan, K. N., and Panchal, J. H. (2016). Understanding the Impact of Expertise on Design Outcome: An Approach Based on Concept Inventories and Item Response Theory. ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, American Society of Mechanical Engineers. Cited by 5. [ http ]

29. Dachowicz, A., Chaduvula, S. C., Panchal, J. H., and Atallah, M. (2016). Confidentiality Management in Collaborative Design. ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, American Society of Mechanical Engineers. Cited by 2. [ http ]

30. Sha, Z., and Panchal, J. H. (2016). A Degree-Based Decision-Centric Model for Complex Networked Systems. ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, American Society of Mechanical Engineers. Cited by 1. [ http ]

31. Shen, D., Liu, X., and Lin, F. X. (2016). Characterizing emerging heterogeneous memory. Other, ACM. Cited by 15. [ http ]

32. Laguna, I., Ahn, D. H., de Supinski, B. R., Bagchi, S., and Gamblin, T. (2015). Diagnosis of Performance Faults in LargeScale MPI Applications via Probabilistic Progress-Dependence Inference. IEEE Transactions on Parallel and Distributed Systems, IEEE. Cited by 6. [ http ]

33. Avery, J., Guterriez, C., Almeshekah, M., Bagchi, S., and Spafford, E. H. (2015). Deception in computing: where and how it has been used. Proceedings of the 16th Annual Information Security Symposium, CERIAS-Purdue University. [ http ]

34. Weijiang, Y., Balakrishna, S., Liu, J., and Kulkarni, M. (2015). Tree dependence analysis. ACM SIGPLAN Notices, ACM. Cited by 11. [ http ]

35. Taha, A. F., Qi, J., Wang, J., and Panchal, J. H. (2015). Risk mitigation for dynamic state estimation against cyber attacks and unknown inputs. arXiv preprint arXiv:1508.07246, . Cited by 37. [ http ]

36. Sha, Z., Kannan, K. N., and Panchal, J. H. (2015). Behavioral experimentation and game theory in engineering systems design. Journal of Mechanical Design, American Society of Mechanical Engineers. Cited by 20. [ http ]

37. Taha, A. F., Elmahdi, A., Panchal, J. H., and Sun, D. (2015). Unknown input observer design and analysis for networked control systems. International Journal of Control, Taylor \& Francis. Cited by 9. [ http ]

38. Bi, Y., Shergadwala, M., Reid, T., and Panchal, J. H. (2015). Understanding the utilization of information stimuli in design decision making using eye gaze data. ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, American Society of Mechanical Engineers. Cited by 6. [ http ]

39. Davendralingam, N., Sha, Z., Moolchandani, K., Maheshwari, A., Panchal, J. H., and DeLaurentis, D. A. (2015). Scientific Foundations for Systems Engineering: Challenges and Strategies. ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, American Society of Mechanical Engineers. Cited by 4. [ http ]

40. Taha, A. F., Qi, J., Wang, J., and Panchal, J. H. (2015). Dynamic State Estimation under Cyber Attacks: A Comparative Study of Kalman Filters and Observers. arXiv preprint arXiv:1508.07252, . Cited by 3. [ http ]

41. Daneshmand, A., Facchinei, F., Kungurtsev, V., and Scutari, G. (2015). Hybrid random/deterministic parallel algorithms for convex and nonconvex big data optimization. IEEE Transactions on Signal Processing, IEEE. Cited by 48. [ http ]

42. Li, H., Lu, X., Liu, X., Xie, T., Bian, K., Lin, F. X., Mei, Q., and Feng, F. (2015). Characterizing Smartphone Usage Patterns from Millions of Android Users. Proceedings of the 2015 ACM Conference on Internet Measurement Conference, ACM. Cited by 67. [ http ]

43. Sha, Z., and Panchal, J. H. (2014). Estimating Local Decision-Making Behavior in Complex Evolutionary Systems. Journal of Mechanical Design, American Society of Mechanical Engineers. Cited by 17. [ http ]

44. Taha, A. F., and Panchal, J. H. (2014). Decision-making in energy systems with multiple technologies and uncertain preferences. IEEE Transactions on Systems, Man, and Cybernetics: Systems, IEEE. Cited by 12. [ http ]

45. Wang, S., Bhandari, S., Atallah, M., Panchal, J. H., and Ramani, K. (2014). Secure collaboration in engineering systems design. ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, American Society of Mechanical Engineers. Cited by 8. [ http ]

46. Sha, Z., and Panchal, J. H. (2014). Estimating linking preferences and behaviors of autonomous systems in the Internet using a discrete choice model. 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), IEEE. Cited by 8. [ http ]

47. Scutari, G., Facchinei, F., Song, P., Palomar, D. P., and Pang, J. (2014). Decomposition by partial linearization: Parallel optimization of multi-agent systems. IEEE Transactions on Signal Processing, IEEE. Cited by 188. [ http ]

48. Scutari, G., Facchinei, F., Pang, J., and Palomar, D. P. (2014). Real and complex monotone communication games. IEEE Transactions on Information Theory, IEEE. Cited by 87. [ http ]

49. Alvarado, A., Scutari, G., and Pang, J. (2014). A New Decomposition Method for Multiuser DC-Programming and its Applications. Signal Processing, IEEE Transactions on, IEEE. Cited by 68. [ http ]

50. Atzeni, I., Ordóñez, L. G., Scutari, G., Palomar, D. P., and Fonollosa, J. R. (2014). Noncooperative Day-Ahead Bidding Strategies for Demand-Side Expected Cost Minimization with Real-Time Adjustments: A GNEP Approach. IEEE Transactions on Signal Processing, IEEE. Cited by 34. [ http ]

51. Scutari, G., Facchinei, F., Lampariello, L., and Song, P. (2014). Parallel and distributed methods for nonconvex optimization. 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE. Cited by 27. [ http ]

52. Facchinei, F., Pang, J., and Scutari, G. (2014). Non-cooperative games with minmax objectives. Computational Optimization and Applications, Springer. Cited by 7. [ http ]

53. Daneshmand, A., Facchinei, F., Kungurtsev, V., and Scutari, G. (2014). Flexible selective parallel algorithms for big data optimization. 2014 48th Asilomar Conference on Signals, Systems and Computers, IEEE. Cited by 2. [ http ]

54. Choi, S., Gutierrez, C., Lim, H., Bagchi, S., and Bertino, E. (2013). Secure and resilient proximity-based access control. Proceedings of the 2013 international workshop on Data management \& analytics for healthcare, ACM. Cited by 4. [ http ]

55. Sha, Z., and Panchal, J. H. (2013). Towards the design of complex evolving networks with high robustness and resilience. Procedia Computer Science, Elsevier. Cited by 14. [ http ]

56. Scutari, G., and Pang, J. (2013). Joint sensing and power allocation in nonconvex cognitive radio games: Nash equilibria and distributed algorithms. IEEE Transactions on Information Theory, IEEE. Cited by 44. [ http ]

57. Yang, Y., Scutari, G., and Palomar, D. P. (2013). Parallel stochastic decomposition algorithms for multi-agent systems. 2013 IEEE 14th Workshop on Signal Processing Advances in Wireless Communications (SPAWC), IEEE. Cited by 16. [ http ]

58. Yang, Y., Rubio, F., Scutari, G., and Palomar, D. P. (2013). Multi-portfolio optimization: A potential game approach. IEEE Transactions on Signal Processing, IEEE. Cited by 15. [ http ]

59. Guan, Z., Melodia, T., and Scutari, G. (2013). Distributed queueing games in interference-limited wireless networks. 2013 IEEE International Conference on Communications (ICC), IEEE. Cited by 11. [ http ]

60. Atzeni, I., Ordónez, L. G., Scutari, G., Palomar, D. P., and Fonollosa, J. R. (2013). Cooperative day-ahead bidding strategies for demand-side expected cost minimization. Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on, IEEE. Cited by 9. [ http ]

61. Pang, J., and Scutari, G. (2013). Joint sensing and power allocation in nonconvex cognitive radio games: Quasi-Nash equilibria. IEEE Transactions on Signal Processing, IEEE. Cited by 9. [ http ]

62. Scutari, G., Facchinei, F., Song, P., Palomar, D. P., and Pang, J. (2013). Decomposition by partial linearization in multiuser systems. 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE. Cited by 4. [ http ]

63. Le, Q., and Panchal, J. H. (2012). Building smaller sized surrogate models of complex bipartite networks based on degree distributions. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, IEEE. Cited by 9. [ http ]

64. Le, Q., and Panchal, J. H. (2012). Network-based analysis of the structure and evolution of an open source software product. System Science (HICSS), 2012 45th Hawaii International Conference on, IEEE. Cited by 3. [ http ]

65. Rytsareva, I., Le, Q., Conner, E., Kalyanaraman, A., and Panchal, J. H. (2012). Evaluating Socio-Technical Coordination in Open-Source Communities: A Cluster-Based Approach. ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, American Society of Mechanical Engineers. Cited by 1. [ http ]

66. Arshad, F. A., and Bagchi, S. (2011). Dangers and Joys of Stock Trading on the Web: Failure Characterization of a Three-Tier Web Service. Reliable Distributed Systems (SRDS), 2011 30th IEEE Symposium on, IEEE. Cited by 2. [ http ]

67. Kulkarni, M., Pai, V., and Schuff, D. (2011). Towards architecture independent metrics for multicore performance analysis. ACM SIGMETRICS Performance Evaluation Review, ACM. Cited by 12. [ http ]

68. Sha, Z., Le, Q., and Panchal, J. H. (2011). Using SysML for conceptual representation of agent-based models. ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, American Society of Mechanical Engineers. Cited by 7. [ http ]

69. Panchal, J. H., and Messer, M. (2011). Extracting the structure of design information from collaborative tagging. Journal of Computing and Information Science in Engineering, American Society of Mechanical Engineers. Cited by 5. [ http ]

70. Sinha, A., Panchal, J. H., Allen, J. K., and Mistree, F. (2011). Managing uncertainty in multiscale systems via simulation model refinement. ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, American Society of Mechanical Engineers. Cited by 3. [ http ]

71. Pang, J., and Scutari, G. (2011). Nonconvex games with side constraints. SIAM Journal on Optimization, SIAM. Cited by 38. [ http ]

72. Pandita, P., Bilionis, I., and Panchal, J. H. (1970). Bayesian Optimal Design of Experiments for Inferring The Statistical Expectation of Expensive Black-Box Functions. Journal of Mechanical Design, . [ http ]

73. Chaudhari, A. M., and Panchal, J. H. (1970). An Experimental Study of Human Decisions in Sequential Information Acquisition in Design: Impact of Cost and Task Complexity. Other, Springer, Singapore. [ http ]

74. Ke, Y., Losada-Rojas, L. L., Chacon-Hurtado, D., Khair, S., Gkritza, K., and Fricker, J. D. (1970). Economic Development Impact of Preservation Projects. Other, Joint Transportation Research Program. [ http ]

75. Toulouki, M. A. I., Mantouka, E. G., Vlahogianni, E. I., Gkritza, K., and Kepaptsoglou, K. (1970). Perceived Impacts of c-ITS on the Economy, Quality of Life and Transportation System Performance: The Case of Greece. Other, . [ http ]