More up-to-date publication information is available in my Google Scholar profile.

Theses

  1. K. Chard, DRIVE: A Distributed Economic Meta-Scheduler for the Federation of Grid and Cloud Systems. Ph.D. Thesis, Victoria University of Wellington, 2011
  2. K. Chard, Efficient Dynamic Resource Description. BSc. Honours Thesis, Victoria University of Wellington, 2004

Journals and Magazines

  1. B. Abolfathi, D. Alonso, R. Armstrong, E. Aubourg, H. Awan, Y. N. Babuji, F. E. Bauer, R. Bean, G. Beckett, R. Biswas, J. R. Bogart, D. Boutigny, K. Chard, J. Chiang, et al., "The LSST DESC DC2 simulated sky survey," The Astrophysical Journal Supplement Series, vol. 253, no. 1, p. 31, mar 2021.
  2. Z. Li, R. Chard, L. Ward, K. Chard, T. J. Skluzacek, Y. Babuji, A. Woodard, S. Tuecke, B. Blaiszik, M. J. Franklin, and I. Foster, "Dlhub: Simplifying publication, discovery, and use of machine learning models in science," Journal of Parallel and Distributed Computing, vol. 147, pp. 64--76, 2021.
  3. C. C. Funk, A. M. Casella, S. Jung, M. A. Richards, A. Rodriguez, P. Shannon, R. Donovan-Maiye, B. Heavner, K. Chard, Y. Xiao, G. Glusman, N. Ertekin-Taner, T. E. Golde, A. Toga, L. Hood, J. D. Van Horn, C. Kesselman, I. Foster, R. Madduri, N. D. Price, and S. A. Ament, "Atlas of transcription factor binding sites from encode dnase hypersensitivity data across 27 tissue types," Cell Reports, vol. 32, no. 7, p. 108029, 2020.
  4. E. A. Huerta, G. Allen, I. Andreoni, J. M. Antelis, E. Bachelet, G. B. Berriman, F. B. Bianco, R. Biswas, M. Carrasco Kind, K. Chard, and et al., "Enabling real-time multi-messenger astrophysics discoveries with deep learning," Nature Reviews Physics, vol. 1, no. 10, p. 600608, Oct 2019.
  5. K. Heitmann, T. D. Uram, H. Finkel, N. Frontiere, S. Habib, A. Pope, E. Rangel, J. Hollowed, D. Korytov, P. Larsen, K. Chard and et al., "Hacc cosmological simulations: First data release," The Astrophysical Journal Supplement Series, vol. 244, no. 1, p. 17, Sep 2019.
  6. B. Blaiszik, L. Ward, M. Schwarting, J. Gaff, R. Chard, D. Pike, K. Chard, and I. Foster, "A data ecosystem to support machine learning in materials science," MRS Communications, vol. 9, no. 4, p. 11251133, Oct 2019.
  7. R. Madduri, K. Chard, M. DArcy, S. C. Jung, A. Rodriguez, D. Sulakhe, E. Deutsch, C. Funk, B. Heavner, M. Richards, P. Shannon, G. Glusman, N. Price, C. Kesselman, and I. Foster, "Reproducible big data science: A case study in continuous fairness," PLOS ONE, vol. 14, no. 4, pp. 1--22, 04 2019.
  8. A. Brinckman, K. Chard, N. Gaffney, M. Hategan, M. B. Jones, K. Kowalik, S. Kulasekaran, B. Ludscher, B. D. Mecum, J. Nabrzyski, V. Stodden, I. J. Taylor, M. J. Turk, and K. Turner, "Computing environments for reproducibility: Capturing the whole tale," Future Generation Computer Systems, vol. 94, pp. 854--867, 2019.
  9. B. Varghese, P. Leitner, S. Ray, K. Chard, A. Barker, Y. Elkhatib, H. Herry, C.-H. Hong, J. Singer, F. P. Tso, and et al., "Cloud futurology," Computer, vol. 52, no. 9, p. 6877, Sep 2019.
  10. L. Ward, A. Dunn, A. Faghaninia, N. Zimmermann, S. Bajaj, Q. Wang, J. Montoya, J. Chen, K. Bystrom, M. Dylla, K. Chard, M. Asta, K.A. Persson, G. Snyder, I. Foster, and A. Jain, "Matminer: An open source toolkit for materials data mining," Computational Materials Science 152, pp. 60-69, 2018.
  11. K. Chard, E. Dart, I. Foster, D. Shiflett, S. Tuecke, and J. Williams, "The modern research data portal: A design pattern for networked, data-intensive science," PeerJ Computer Science, vol. 4, pp. e144, 2018.
  12. A. Brinckman, K. Chard, N. Gaffney, M. Hategan, M. B. Jones, K. Kowalik, S. Kulasekaran, B. Ludscher, B. D. Mecum, J. Nabrzyski, V. Stodden, I. J. Taylor, M. J. Turk, and K. Turner, "Computing environments for reproducibility: Capturing the "whole tale"," Future Generation Computer Systems, 2018.
  13. R. Chard, K. Chard, R. Wolski, R. Madduri, B. Ng, K. Bubendorfer, and I. Foster, "Cost-aware cloud profiling, prediction, and provisioning as a service," IEEE Cloud Computing, vol. 4, no. 4, pp. 48--59, 2017.
  14. K. Chard and K. Bubendorfer, "Co-operative resource allocation: building an open cloud market using shared infrastructure," IEEE Transactions on Cloud Computing, 2016.
  15. B. Blaiszik, K. Chard, J. Pruyne, R. Ananthakrishnan, S. Tuecke, I. Foster, "The Materials Data Facility: Data services to advance materials science research," The Journal of The Minerals, Metals \& Materials Society (JOM), vol. 68, no. 8, pp 2045-–2052, 2016.
  16. R. Tchoua, J.Qin, D. Audus, K. Chard, I. Foster, and J. de Pablo, "Blending education and polymer science: semiautomated creation of a thermodynamic property database," Journal of Chemical Education, 2016.
  17. I.D. Dinov, B. Heavner, M. Tang, G. Glusman, K. Chard, M. Darcy, R. Madduri, J. Pa, C. Spino, C. Kesselman, I. Foster, E.W. Deutsch, N.D. Price, J.D. Van Horn, J. Ames, K. Clark, L. Hood, B.M. Hampstead, W. Dauer, and A.W. Toga "Predictive big data analytics: A study of parkinson's disease using large, complex, heterogeneous, incongruent, multi-source and incomplete observations," PLOS ONE, vol. 11, no. 8, 2016.
  18. K. Chard, S. Caton, K. Kugler, O. Rana, and D. Katz, "A Social content delivery network for e-Science," Concurrency and Computation: Practice and Experience, 2016.
  19. K. Chard, S. Caton, K. Bubendorfer, and O. Rana, "Social clouds: A retrospective," IEEE Cloud Computing, vol. PP, 2015.
  20. K. Chard, S. Tuecke, and I. Foster, "Efficient and secure transfer, synchronization, and sharing of big data," IEEE Cloud Computing, vol. 1, no. 3, pp. 46--55, 2014.
  21. K. Chard, M. Lidman, B. McCollam, J. Bryan, R. Ananthakrishnan,S. Tuecke, and I. Foster, "Globus Nexus: A platform-as-a-service provider of research identity, profile, and group management," Future Generation Computer Systems, vol. PP, 2015.
  22. R. Chard, R. Madduri, N. Karonis, K. Chard, K. Duffin, C. Ordonez, T. Uram, J. Fleischauer, I. Foster, M. Papka, and J. Winans, "Scalable pCT image reconstruction delivered as a cloud service," IEEE Transactions on Cloud Computing, vol. PP, 2015.
  23. A. Toga, I. Foster, C. Kesselman, R. Madduri, K. Chard, E. Deutsch, N. Price, G. Glusman, B. Heavner, I. Dinov, J. Ames, J. Van Horn, R. Kramer, and L. Hood, "Big biomedical data as the key resource for discovery science," Journal of the American Medical Informatics Association, vol. 22, no. 6, pp. 1126--1131, 2015.
  24. R. Madduri, K. Chard, R. Chard, L. Lacinski, A. Rodriguez, D. Sulakhe, D. Kelly, U. Dave, and I. Foster, "The Globus Galaxies platform: delivering science gateways as a service," Concurrency and Computation: Practice and Experience, vol. 27, no. 16, pp. 4344--4360, 2015.
  25. R. Ananthakrishnan, K. Chard, I. Foster, and S. Tuecke, "Globus platform-as-a-service for collaborative science applications," Concurrency and Computation: Practice and Experience, vol. 27, no. 2, pp. 290--305, 2015.
  26. R. Madduri, D. Sulakhe, L. Lacinski, B. Liu, A. Rodriguez, K. Chard, U. Dave, and I. Foster, "Experiences building Globus Genomics: A next-generation sequencing analysis service using Galaxy, Globus, and Amazon Web Services," Concurrency and Computation: Practice and Experience, vol. 26, no. 13, pp. 2266--2279, 2014.
  27. B. Liu, R. Madduri, B. Sotomayor, K. Chard, L. Lacinski, U. Dave, J. Li, C. Liu, and I. Foster, "Cloud-based bioinformatics workflow platform for large-scale next-generation sequencing analyses," Journal of Biomedical Informatics, vol. 49, pp. 119--133, 2014.
  28. S. Caton, C. Haas, K. Chard, K. Bubendorfer, and O. Rana, "A social compute cloud: Allocating and sharing infrastructure resources via social networks," IEEE Transactions on Services Computing, vol. 7, no. 3, pp. 359--372, 2014.
  29. K. Bubendorfer, K. Chard, K. John, and A. Thaufeeg, "eScience in the social cloud," Future Generation Computer Systems, vol. 29, no. 8, pp. 2143--2156, 2013.
  30. K. Chard and K. Bubendorfer, "High performance resource allocation strategies for computational economies," IEEE Transactions on Parallel and Distributed Systems, vol. 24, no. 1, pp. 72--84, 2013.
  31. K. Chard, K. Bubendorfer, S. Caton, and O. Rana, "Social cloud computing: A vision for socially motivated resource sharing," IEEE Transactions on Services Computing, vol. 5, no. 4, pp. 551--563, 2012.

Book Chapters

  1. K. Chard and S. Caton, "Social clouds: Crowdsourcing cloud infrastructure," in Software Crowdsourcing, ser. Progress in IS, W. Li, M. Huhns, W.-T. Tsai, and W. Wu, Eds. Springer Berlin Heidelberg, 2015, pp. 191--217.
  2. I. Foster, R. Ananthakrishnan, B. Blaiszik, K. Chard, R. Osborn, S. Tuecke, M. Wilde, and J. Wozniak, "Networking materials data: Accelerating discovery at experimental facilities," in Volume 26: Big Data and High Performance Computing, ser. Advances in Parallel Computing, L. Grandinetti, G. Joubert, M. Kunze, and V. Pascucci, Eds. IOS Pres, 2015, pp. 117--132.
  3. K. Chard and K. Bubendorfer, "Using secure auctions to build a distributed metascheduler for the grid," in Market-Oriented Grid and Utility Computing, R. Buyya and K. Bubendorfer, Eds. John Wiley & Sons, Inc., 2009, pp. 569--588.

Peer-reviewed Conferences

  1. W. Brackenbury, G. Harrison, K. Chard, A. Elmore, and B. Ur, Files of a feather flock together? measuring and modeling how users perceive file similarity in cloud storage," in 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'21), 2021.
  2. R. Ananthakrishnan, K. Chard, M. D'Arcy, I. Foster, C. Kesselman, B. McCollam, J. Pruyne, P. Rocca-Serra, R. Schuler, and R. Wagner, "An open ecosystem for pervasive use of persistent identifiers," in Practice and Experience in Advanced Research Computing, ser. PEARC '20. New York, NY, USA: Association for Computing Machinery, 2020, p. 99105.
  3. J. Alt, R. Ananthakrishnan, K. Chard, R. Chard, I. Foster, L. Liming, and S. Tuecke, "Oauth ssh with globus auth," in Practice and Experience in Advanced Research Computing, ser. PEARC '20. New York, NY, USA: Association for Computing Machinery, 2020, p. 3440.
  4. Z. Hong, R. Tchoua, K. Chard, and I. Foster, "Sciner: Extracting named entities from scientific literature," in Computational Science -- ICCS 2020, V. V. Krzhizhanovskaya, G. Zavodszky, M. H. Lees, J. J. Dongarra, P. M. A. Sloot, S. Brissos, and J. Teixeira, Eds. Cham: Springer International Publishing, 2020, pp. 308--321.
  5. R. Chard, Y. Babuji, Z. Li, T. Skluzacek, A. Woodard, B. Blaiszik, I. Foster, and K. Chard, "Funcx: A federated function serving fabric for science," in Proceedings of the 29th International Symposium on High-Performance Parallel and Distributed Computing, ser. HPDC '20. New York, NY, USA: Association for Computing Machinery, 2020, p. 6576.
  6. A. Woodard, A. Trisovic1, Z. Li, Y. Babuji, R. Chard, T. Skluzacek, B. Blaiszik, D. S. Katz, I. Foster, and K. Chard, "Real-time hep analysis with funcx, a high-performance platform for function as a service," in 24th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019), no. 07046, 2020, p. 9.
  7. M. Baughman, N. Chakubaji, H.-L. Truong, K. Kreics, K. Chard, and I. Foster, "Measuring, quantifying, and predicting the cost-accuracy tradeoff," in IEEE International Conference on Big Data (Big Data), 2019, pp. 3616--3622.
  8. C. Wu, T. Summer, Z. Li, A. Woodard, R. Chard, M. Baughman, Y. Babuji, K. Chard, J. Pitt, and I. Foster, "Paraopt: Automated application parameterization and optimization for the cloud," in IEEE International Conference on Cloud Computing Technology and Science (CloudCom), 2019, pp. 255--262.
  9. R. Tchoua, A. Ajith, Z. Hong, L. Ward, K. Chard, D. Audus, S. Patel, J. de Pablo, and I. Foster, "Active learning yields better training data for scientific named entity recognition," in 15th International Conference on eScience (eScience), 2019, pp. 126--135.
  10. K. Chard and I. Foster, "Serverless science for simple, scalable, and shareable scholarship," in 15th International Conference on eScience (eScience), 2019, pp. 432--438.
  11. A. K. Paul, R. Chard, K. Chard, S. Tuecke, A. R. Butt, and I. Foster, "Fsmonitor: Scalable file system monitoring for arbitrary storage systems," in IEEE International Conference on Cluster Computing (CLUSTER), Sep. 2019, pp. 10--11.
  12. T. J. Skluzacek, R. Chard, R. Wong, Z. Li, Y. N. Babuji, L. Ward, B. Blaiszik, K. Chard, and I. Foster, "Serverless workflows for indexing large scientific data," in Proceedings of the 5th International Workshop on Serverless Computing, ser. WOSC 19. New York, NY, USA: Association for Computing Machinery, 2019, p. 4348.
  13. Y. Babuji, A. Woodard, Z. Li, D. S. Katz, B. Clifford, I. Foster, M. Wilde, and K. Chard, "Scalable parallel programming in python with parsl," in Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (Learning), ser. PEARC 19. New York, NY, USA: Association for Computing Machinery, 2019.
  14. R. Chard, L. Ward, Z. Li, Y. Babuji, A. Woodard, S. Tuecke,K. Chard, B. Blaiszik, and I. Foster, "Publishing and serving machine learning models with dlhub," in Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (Learning), ser. PEARC 19. New York, NY, USA: Association for Computing Machinery, 2019.
  15. W. E. Allcock, B. S. Allen, R. Ananthakrishnan, B. Blaiszik, K. Chard, R. Chard, I. Foster, L. Lacinski, M. E. Papka, and R. Wagner, "Petrel: A programmatically accessible research data service," in Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (Learning), ser. PEARC 19. New York, NY, USA: Association for Computing Machinery, 2019.
  16. Y. Babuji, A. Woodard, Z. Li, D. S. Katz, B. Clifford, R. Kumar, L. Lacinski, R. Chard, J. M. Wozniak, I. Foster, and K. Chard, "Parsl: Pervasive parallel programming in python," in Proceedings of the 28th International Symposium on High-Performance Parallel and Distributed Computing, ser. HPDC 19. New York, NY, USA: Association for Computing Machinery, 2019, p. 2536.
  17. R. B. Tchoua, A. Ajith, Z. Hong, L. T. Ward, K. Chard, A. Belikov, D. J. Audus, S. Patel, J. J. de Pablo, and I. T. Foster, "Creating training data for scientific named entity recognition with minimal human effort," in Computational Science -- ICCS 2019, J. M. F. Rodrigues, P. J. S. Cardoso, J. Monteiro, R. Lam, V. V. Krzhizhanovskaya, M. H. Lees, J. J. Dongarra, and P. M. Sloot, Eds. Springer International Publishing, 2019, pp. 398--411.
  18. R. Chard, Z. Li, K. Chard, L. Ward, Y. Babuji, A. Woodard, S. Tuecke, B. Blaiszik, M. J. Franklin, and I. Foster, "Dlhub: Model and data serving for science," in IEEE International Parallel and Distributed Processing Symposium (IPDPS), May 2019, pp. 283--292.
  19. M. Baughman, R. Chard, L. Ward, J. Pitt, K. Chard, and I. Foster, "Profiling and predicting application performance on the cloud," in IEEE/ACM 11th International Conference on Utility and Cloud Computing (UCC), Dec 2018, pp. 21--30.
  20. T. J. Skluzacek, R. Kumar, R. Chard, G. Harrison, P. Beckman, K. Chard, and I. T. Foster, "Skluma: An extensible metadata extraction pipeline for disorganized data," in IEEE 14th International Conference on e-Science (e-Science), Oct 2018, pp. 256--266.
  21. R. Ananthakrishnan, B. Blaiszik, K. Chard, R. Chard, B. McCollam, J. Pruyne, S. Rosen, S. Tuecke, and I. Foster, "Globus platform services for data publication," in Proceedings of the Practice and Experience on Advanced Research Computing, ser. PEARC 18. New York, NY, USA: Association for Computing Machinery, 2018.
  22. R. Wolski, J. Brevik, R. Chard, and K. Chard, "Probabilistic guarantees of execution duration for amazon spot instances," in Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, 2017.
  23. R. B. Tchoua, K. Chard, D. J. Audus, L. T. Ward, J. Lequieu, J. J. D. Pablo, and I. T. Foster, "Towards a hybrid human-computer scientific information extraction pipeline," in Proceedings of the 13th IEEE International Conference on e-Science (e-Science), pp. 109--118, 2017.
  24. K. Chard, I. Foster, and S. Tuecke, "Globus: Research data management as service and platform," in Proceedings of the Practice and Experience in Advanced Research Computing 2017 on Sustainability, Success and Impact, pp. 26:1--26:5, 2017.
  25. A. I. Orhean, I. Ijagbone, I. Raicu, K. Chard, and D. Zhao, "Toward scalable indexing and search on distributed and unstructured data," in Proceedings of the IEEE International Congress on Big Data (BigData Congress), pp. 31--38, 2017.
  26. I. Foster, B. Blaiszik, K. Chard, and R. Chard, "Software defined cyberinfrastructure," in Proceedings of the 37th IEEE International Conference on Distributed Computing Systems (ICDCS), pp. 1808--1814, 2017.
  27. P. Beckman, T. J. Skluzacek, K. Chard, and I. Foster, "Skluma: A statistical learning pipeline for taming unkempt data repositories," in Proceedings of the 29th International Conference on Scientific and Statistical Database Management pp. 41:1--41:4, 2017.
  28. K. Chard, M. D'Arcy, B. Heavner, I. Foster, C. Kesselman, R. Madduri, A. Rodriguez, S. Soiland-Reyes, C. Goble, K. Clark, E. W. Deutsch, I. Dinov, N. Price, and A. Toga, "I'll take that to go: Big data bags and minimal identifiers for exchange of large, complex datasets," in Proceedings of the IEEE International Conference on Big Data (Big Data), pp. 319--328, 2016.
  29. Y. N. Babuji, K. Chard, A. Gerow, and E. Duede, "A secure data enclave and analytics platform for social scientists," in Proceedings of the 12th IEEE International Conference on e-Science (e-Science), pp. 337--342, 2016.
  30. Y. N. Babuji, K. Chard, A. Gerow, and E. Duede, "Cloud kotta: Enabling secure and scalable data analytics in the cloud," in Proceedings of the IEEE International Conference on Big Data (Big Data), pp. 302--310, 2016.
  31. S. Tuecke, R. Ananthakrishnan, K. Chard, M. Lidman, B. McCollam, S. Rosen, and I. Foster, "Globus Auth: A Research Identity and Access Management Platform," Proceedings of the 12th IEEE International Conference on e-Science (e-Science), Oct 2016, pp. 203--212. 2016
  32. K. Chard, S. Tuecke, I. Foster, B. Allen, R. Ananthakrishnan, J. Bester, B. Blaiszik, V. Cuplinskas, R. Kettimuthu, J. Kordas, L. Lacinski, M. Lidman, Mike Link, S. Martin, B. McCollam, K. Pickett, D. Powers, J. Pruyne, B. Raumann, G. Rohder, S. Rosen, D. Shifflett, T. Sutton, V. Vasiliadis, and J. Williams. "Globus: Recent Enhancements and Future Plans," Proceedings of the XSEDE16 Conference on Diversity, Big Data, and Science at Scale, pp. 27:1--27:8, 2016.
  33. I. Foster, K. Chard, and S. Tuecke, "The Discovery Cloud: Accelerating and Democratizing Research on a Global Scale," in Proceedings of the IEEE International Conference on Cloud Engineering (IC2E), pp 68-77, 2016.
  34. R. Tchoua, K. Chard, D. Audus, J. Qin, J. de Pablo, and I. Foster, "A Hybrid Human-Computer Approach to the Extraction of Scientific Facts from the Literature," in Proceedings of the International Conference on Computational Science (ICCS), Procedia Computer Science, vol. 80, pp 386–-3972, 2016.
  35. R. Chard, K. Chard, B. Ng, K. Bubendorfer, A. Rodriguez, R. Madduri, and I. Foster, "An Automated Tool Profiling Service for the Cloud," in Proceedings of the 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, pp. 223-232, 2016.
  36. V. Arabnejad, K. Bubendorfer, B. Ng, and K. Chard, "A deadline constrained critical path heuristic for cost-effectively scheduling workflows," Accepted to the 8th IEEE/ACM International Conference on Utility and Cloud Computing, 2015.
  37. J. Wozniak, K. Chard, B. Blaiszik, R. Osborn, M. Wile, and I. Foster, "Big data remote access interfaces for light source science," Accepted to the 2nd IEEE/ACM International Symposium on Big Data Computing, 2015.
  38. K. Chard, J. Pruyne, B. Blaiszik, R. Ananthakrishnan, S. Tuecke, and I. Foster, "Globus data publication as a service: Lowering barriers to reproducible science," in Proceedings of the 11th IEEE International Conference on e-Science (e-Science), 2015, pp. 401--410.
  39. R. Chard, K. Chard, K. Bubendorfer, L. Lacinski, R. Madduri, and I. Foster, "Cost-aware cloud provisioning," in Proceedings of the 11th IEEE International Conference on e-Science (e-Science), 2015, pp. 136--144.
  40. R. Chard, K. Chard, K. Bubendorfer, L. Lacinski, R. Madduri, and I. Foster, "Cost-aware elastic cloud provisioning for scientific workloads," in Proceedings of the 8th IEEE International Conference on Cloud Computing (CLOUD), 2015, pp. 971--74.
  41. A. Simonet, K. Chard, G. Fedak, and I. Foster, "Using active data to provide smart data surveillance to e-science users," in Proceedings of the 23rd Euromicro International Conference on Parallel, Distributed and Network Based Processing (PDP), 2015, pp. 269--273.
  42. K. Kugler, S. Caton, K. Chard, and D. Katz, "On replica placement in a Social CDN for e-science," in Proceedings of the 10th IEEE International Conference on e-Science (e-Science), 2014, pp. 13--20.
  43. K. Chard, M. Lidman, J. Bryan, T. Howe, B. McCollam, R. Ananthakrishnan, S. Tuecke, and I. Foster, "Globus Nexus: Research identity, profile, and group management as a service," in Proceedings of the 10th IEEE International Conference on e-Science (e-Science), 2014, pp. 31--38.
  44. K. Kugler, S. Caton, K. Chard, O. Rana, and D. Katz, "Constructing a social content delivery network for escience," in Proceedings of the 9th IEEE International Conference on e-Science (e-Science), 2013, pp. 350--356.
  45. C. Haas, S. Caton, K. Chard, and C. Weinhardt, "Co-operative infrastructures: An economic model for providing infrastructures for social cloud computing," in Proceedings of the 46th Hawaii International Conference on System Sciences (HICSS), 2013, pp. 729--738.
  46. K. John, K. Bubendorfer, and K. Chard, "A social cloud for public eresearch," in Proceedings of the 7th IEEE International Conference on e-Science (e-Science), 2011, pp. 363--370.
  47. A. Thaufeeg, K. Bubendorfer, and K. Chard, "Collaborative eresearch in a social cloud," in Proceedings of the 7th IEEE International Conference on e-Science (e-Science), 2011, pp. 224--231.
  48. K. Chard, M. Russell, Y. Lussier, E. Mendonca, and J. Silverstein, "A cloud-based approach to medical NLP," in Proceedings of the AMIA Annual Symposium, 2011, pp. 207--216.
  49. K. Chard, M. Russell, Y. Lussier, E. Mendonca, and J. Silverstein, "Scalability and cost of a cloud-based approach to medical NLP," in Proceedings of the 24th International Symposium on Computer-Based Medical Systems (CBMS), 2011, pp. 1--6.
  50. K. Chard, S. Caton, O. Rana, and K. Bubendorfer, "Social cloud: Cloud computing in social networks," in Proceedings of the 3rd IEEE International Conference on Cloud Computing (CLOUD), 2010, pp. 99--106.
  51. K. Chard, K. Bubendorfer, and P. Komisarczuk, "High occupancy resource allocation for grid and cloud systems, a study with DRIVE," in Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing (HPDC), 2010, pp. 73--84.
  52. K. Chard, W. Tan, J. Boverhof, R. Madduri, and I. Foster, "Wrap scientific applications as WSRF grid services using gRAVI," in Proceedings of the 7th IEEE International Conference on Web Services (ICWS), 2009, pp. 83--90.
  53. W. Tan, K. Chard, D. Sulakhe, R. Madduri, I. Foster, S. Soiland-Reyes, and C. Goble, "Scientific workflows as services in caGrid: A Taverna and gRAVI approach," in Proceedings of the 7th IEEE International Conference on Web Services (ICWS), 2009, pp. 413--420.
  54. K. Chard and K. Bubendorfer, "A distributed economic meta-scheduler for the grid," in Proceedings of the 8th IEEE International Symposium on Cluster Computing and the Grid (CCGrid), 2008, pp. 542--547.
  55. K. Bubendorfer, P. Komisarczuk, K. Chard, and A. Desai, "Fine grained resource reservation and management in grid economies," in Proceedings of the International Conference on Grid Computing and Applications (GCA), 2005, pp. 31--38.
  56. K. Bubendorfer, P. Komisarczuk, and K. Chard, "Efficient dynamic resource specifications," in Proceedings of the 6th International Conference on Mobile Data Management (MDM), 2005, pp. 281--285.
  57. P. Komisarczuk, K. Bubendorfer, and K. Chard, "Enabling virtual organisation in mobile worlds," in Proceedings of the 5th IEE International Conference on 3G Mobile Communication Technologies, 2004, pp. 123--127.

Peer-reviewed Workshops and Posters

  1. M. Levental, R. Chard, J. A. Libera, K. Chard, A. Koripelly, J. R. Elias, M. Schwarting, B. Blaiszik, M. Stan, S. Chaudhuri, and I. Foster, "Towards online steering of flame spray pyrolysis nanoparticle synthesis," in 2020 IEEE/ACM 2nd Annual Workshop on Extreme-scale Experiment-in-the-Loop Computing (XLOOP). Los Alamitos, CA, USA: IEEE Computer Society, nov 2020, pp. 35--40.
  2. T. J. Skluzacek, R. Chard, R. Wong, Z. Li, Y. N. Babuji, L. Ward, B. Blaiszik, K. Chard, and I. Foster, "Serverless workflows for indexing large scientific data," in Proceedings of the 5th International Workshop on Serverless Computing, ser. WOSC '19. New York, NY, USA: Association for Computing Machinery, 2019, p. 4348.
  3. K. Chard, N. Gaffney, M. B. Jones, K. Kowalik, B. Ludascher, T. McPhillips, J. Nabrzyski, V. Stodden, I. Taylor, T. Thelen, M. J. Turk, and C. Willis, "Application of bagit-serialized research object bundles for packaging and re-execution of computational analyses," in 15th International Conference on eScience (eScience), 2019, pp. 514--521.
  4. M. Baughman, S. Caton, C. Haas, R. Chard, R. Wolski, I. Foster, and K. Chard, "Deconstructing the 2017 changes to AWS spot market pricing," in Proceedings of the 10th Workshop on Scientific Cloud Computing, ser. ScienceCloud 19. New York, NY, USA: Association for Computing Machinery, 2019, p. 1926.
  5. K. Chard, N. Gaffney, M. B. Jones, K. Kowalik, B. Ludascher, J. Nabrzyski, V. Stodden, I. Taylor, M. J. Turk, and C. Willis, "Implementing computational reproducibility in the whole tale environment," in Proceedings of the 2nd International Workshop on Practical Reproducible Evaluation of Computer Systems, ser. P-RECS 19. New York, NY, USA: Association for Computing Machinery, 2019, p. 1722.
  6. B. Blaiszik, K. Chard, R. Chard, I. Foster, , and L. Ward, "Data automation at light sources," in AIP Conference Proceedings, 2019, p. 2054.
  7. B. Mecum, S. Wyngaard, C. Willis, M. Turk, T. Thelen, I. Taylor, V. Stodden, D. Perez, J. Nabrzyski, B. Ludaescher, S. Kulasekaran, K. Kowalik, M. B. Jones, M. Hategan, N. Gaffney, K. Chard, and A. Brinckman, "Science, containerized: Integrating provenance and compute environments with the Whole Tale," in AGU Fall Meeting Abstracts, vol. 2018, Dec 2018, pp. IN53A--02.
  8. R. Tchoua, A. Ajith, Z. Hong, L. Ward, K. Chard, D. Audus, S. Patel, J. d. Pablo, and I. Foster, "Towards hybrid human-machine scientific information extraction," in 2018 New York Scientific Data Summit (NYSDS), Aug 2018, pp. 1--3.
  9. M. Baughman, C. Haas, R. Wolski, I. Foster, K. Chard, "Predicting Amazon Spot Prices with LSTM Networks," Proceedings of the 9th Workshop on Scientific Cloud Computing, 2018.
  10. R. Chard, R. Vescovi, M. Du, H. Li, K. Chard, S. Tuecke, N. Kasthuri, and I. Foster, "High-Throughput Neuroanatomy and Trigger-Action Programming: A Case Study in Research Automation," Proceedings of the 1st International Workshop on Autonomous Infrastructure for Science, 2018.
  11. W. Brackenbury, R. Liu, M. Mondal, A.J. Elmore, B. Ur, K. Chard, and M.J. Franklin, "Draining the Data Swamp: A Similarity-based Approach," Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 13, 2018.
  12. Y. Babuji, K. Chard, I. Foster, D.S. Katz, M. Wilde, A. Woodard, and J. Wozniak, "Parsl: Scalable Parallel Scripting in Python," in 10th International Workshop on Science Gateways (IWSG), 2018.
  13. E. Herron, T. Skluzacek, I. Foster, and K. Chard, "Applying image feature extraction to cluttered scientific repositories," in ACM Student Research Competition -- SuperComputing'17, 2017.
  14. A. B. Keleher, K. Chard, I. Foster, I. Raicu, and A. Orhean, "Finding a needle in a field of haystacks: Metadata search for distributed research repositories," in ACM Student Research Competition -- SuperComputing'17, 2017.
  15. Y. N. Babuji, K. Chard, E. Duede, and I. Foster, "Safe collections and stewardship on cloud kotta," in Proceedings of the 13th IEEE International Conference on e-Science (e-Science), pp. 498--503, 2017.
  16. R. Chard, K. Chard, J. Alt, D. Y. Parkinson, S. Tuecke, and I. Foster, "Ripple: Home automation for research data management," in Proceedings of the 37th IEEE International Conference on Distributed Computing Systems Workshops (ICDCSW), pp. 389--394, 2017.
  17. A. Paul, R. Chard, K. Chard, S. Tuecke, A. Butt, and I. Foster, "Toward scalable monitoring on large-scale storage for so ware defined cyberinfrastructure," in International Workshop on Parallel Data Storage (PDSW), Nov 2017.
  18. B. Allen, R. Ananthakrishnan, K. Chard, I. Foster, R. Madduri, J. Pruyne, S. Rosen, and S. Tuecke, "Globus: A case study in software as a service for scientists," in Proceedings of the 8th Workshop on Scientific Cloud Computing, pp. 25--32, 2017.
  19. T. J. Skluzacek, K. Chard, and I. Foster, "Klimatic: A virtual data lake for harvesting and distribution of geospatial data," in 1st Joint International Workshop on Parallel Data Storage and data Intensive Scalable Computing Systems (PDSW-DISCS), pp. 31--36, 2016.
  20. W. Agnew, M. Fischer, I. Foster, and K. Chard, "An ensemble-based recommendation engine for scientific data transfers," in Proceedings of the 7th International Workshop on Data-Intensive Computing in the Clouds (DataCloud), pp. 9--16, 2016.
  21. W. Agnew, K. Chard, I. Foster, and M. Fischer, "Touring dataland? automated recommendations for the big data traveler," in ACM Student Research Competition -- SuperComputing'16, 2016.
  22. U. Qasim, C. Humphrey, J. Huck, L. Trimble, A. Garnett, D. O'Neil, S. Cavanaugh, J. Knabl, J. Hlady, R. Ananthakrishnan, K. Chard, and J. Pruyne, "Assessing the scale of challenges for preserving research data," Accepted to the 12th IEEE International Conference on Digital Preservation (iPres), 2015.
  23. R. Tchoua, K. Chard, J. de Pablo, I. Foster, J. Qin, and M. Rasic, "ChiDB: An automated framework for extracting materials properties from literature," in the 4th Greater Chicago Area Systems Research Workshop (GCASR), 2015.
  24. K. Chard, R. Madduri, X. Jiang, F. Dahi, M. Vannier, and I. Foster, "A cloud-based image analysis gateway for traumatic brain injury research," in Proceedings of the 9th Gateway Computing Environments Workshop (GCE), 2014, pp. 13--16.
  25. T. Malik, K. Chard, and I. Foster, "Benchmarking cloud-based tagging services," in Proceedings of the 30th IEEE International Conference on Data Engineering Workshops (ICDEW), 2014, pp. 231--238.
  26. R. Ananthakrishnan, J. Bryan, K. Chard, I. Foster, T. Howe, M. Lidman, and S. Tuecke, "Globus Nexus: An identity, profile, and group management platform for science gateways and other collaborative science applications," in Proceedings of the IEEE International Conference on Cluster Computing (CLUSTER), 2013, pp. 1--3.
  27. B. Liu, B. Sotomayor, R. Madduri, K. Chard, and I. Foster, "Deploying bioinformatics workflows on clouds with Galaxy and Globus Provision," in Proceedings of the SC Companion on High Performance Computing, Networking, Storage and Analysis (SCC), 2012, pp. 1087--1095.
  28. K. Chard, S. Caton, O. Rana, and D. Katz, "A social content delivery network for scientific cooperation: Vision, design, and architecture," in Proceedings of the SC Companion on High Performance Computing, Networking, Storage and Analysis (SCC), 2012, pp. 1058--1067.
  29. R. Chard, K. Bubendorfer, and K. Chard, "Experiences in the design and implementation of a social cloud for volunteer computing," in Proceedings of the 8th IEEE International Conference on E-Science (e-Science), 2012, pp. 1--8.
  30. X. Wang, L. Liu, K. Chard, J. Fackenthal, and O. Olopade, "Traw: a workflow approach to transform data into information," in Summit on Clinical Research Informatics, AMIA Joint Summits on Translational Science, 2012.
  31. K. Chard, C. Onyuksel, W. Tan, D. Sulakhe, R. Madduri, and I. Foster, "Build grid enabled scientific workflows using gRAVI and Taverna," in Proceedings of the 4th IEEE International Conference on e-Science (e-Science), 2008, pp. 614--619.

Presentations

  1. "funcX: Managed and Federated FaaS for Research," eResearch NZ. February 2021.
  2. "funcX: Federated function as a service for science," NZ RSE workshop. September 2020.
  3. "OAuth SSH with Globus Auth," Practice & Experience in Advanced Research Computing, July 2020.
  4. "funcX: Federated function as a service for science," Linea workshop. August 2020.
  5. "Active Learning Yields Better Training Data for Scientific Named Entity Recognition," eScience. September 2019.
  6. "Serverless Science for Simple, Scalable, and Shareable Scholarship," eScience. September 2019.
  7. "Serverless Supercomputing: High Performance Function as a Service for Science," Aalto University Seminar. August 2019.
  8. "funcX: Federated function as a service for science," WoWoHa workshop. July 2020.
  9. "Parsl: Pervasive Parallel Programing in Python," ECP Industry Deep Dive workshop. 2019.
  10. "Globus: Platform as a Service for Science Gateways," International Science Gateways Workshop. June 2019.
  11. "FuncX: High Performance Function as a Service for Science," International Science Gateways Workshop. June 2019.
  12. "Parsl: Pervasive Parallel Programing in Python," Chicago PyData meetup. 2019.
  13. "Scalable Parallel Programming in Python with Parsl," Practice & Experience in Advanced Research Computing, July 2019.
  14. "Globus Labs Update," Globus World. April 2019.
  15. "Parsl, a Python‐based Parallel Scripting Library," Enabling Multi-Messenger Astrophysics in the Big Data Era Workshop, April 2019.
  16. "Parsl: Pervasive Parallel Programming in Python," DOE Workflow Workshop and Hackathon, March 2019.
  17. " Parsl: Pervasive Parallel Programing in Python," SCiMMA: Community planning for Scalable Cyberinfrastructure to support Multi-Messenger Astrophysics, December 2018.
  18. " Parsl: Enabling Scalable Interactive Dataflow in Python," BioExcel/MolSSI Workshop on Workflows in Biomolecular Simulations, December 2018.
  19. "DLHub: Data and Learning Hub for Science," Deep Learning for Multimessenger Astrophysics: Real-time Discovery at Scale, Champaign, IL, October 2018.
  20. "Parsl: Enabling Scalable Interactive Computing in Python," 17th annual Scientific Computing with Python conference (SciPy), Austin, TX, July 2018.
  21. "Parsl Overview," Data Visualization and Exploration in the LSST Era, Champaign, IL, June 2018.
  22. "Globus Platform Services: Enabling and Enhancing Science Gateways," International Workshop on Science Gateways, Edinburgh, UK, June 2018.
  23. "Parsl: Scalable Parallel Scripting in Python," International Workshop on Science Gateways, Edinburgh, UK, June 2018.
  24. "Parsl: A Parallel Scripting Library for Python," Notre Dame Seminar, South Bend, IN, May 2018.
  25. "Data Publication and Discovery with Globus," GlobusWorld, Chicago, IL, April 2018.
  26. "Parsl: A Parallel Scripting Library for Python," National Center for Supercomputer Applications Seminar, Champaign, IL, January 2018.
  27. "Introducing Parsl: A Parallel Scripting Library for Python," Dark Energy Science Collaboration Seminar, Chicago, IL, December 2017.
  28. "Introducing Parsl: A Parallel Scripting Library for Python," APS Seminar, Chicago, IL, December 2017.
  29. "A Hybrid Human-Computer Approach to the Extraction of Scientific Facts from the Literature," 13th IEEE International Conference on eScience, Auckland, New Zealand, September 2017.
  30. "Globus: A Case Study in Software as a Service for Scientists," Workshop on Scientific Cloud Computing, Washington DC, June 2017.
  31. "The Whole Tale: Merging Science and Cyberinfrastructure Pathways," Nordic eInfrastructure Workshop, Umea, Sweden, May 2017.
  32. "Predicting Scientific Data Transfer Characteristics," Globus World, Chicago, IL, April 2017.
  33. "An Automated Tool Profiling Service for the Cloud," IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, Cartagena, Colombia, May 2016.
  34. "Data Management and Sharing: An NDS Share Project," National Data Service Consortium Workshop 5, Chapel Hill, NC, USA, March 2016.
  35. "Managing and Analyzing Big Biomedical Data with Globus," Molecular Medicine TriCon, San Francisco, March 2016.
  36. "Simplifying Research Data Management with Globus," National Center for SuperComputing Applications, Urbana-Champaign, November 2015.
  37. "Building and Using NDS Share: An Implementation with Globus," National Data Service Consortium Workshop 4, San Diego, USA, October 2015.
  38. "Cost Effective and Deadline Constrained Scientific Workflow Scheduling for Commercial Clouds," IEEE International Symposium on Network Computing and Applications (NCA), Boston, USA, September 2015.
  39. Panel: "Theory vs. practice in eScience: gaps and gaping holes," Workshop on E-science ReseaRch leading tO negative Results, Munich, Germany, November 2015.
  40. "Globus Data Publication as a Service: Lowering Barriers to Reproducible Science," 11th IEEE International Conference on e-Science (e-Science), Munich, Germany, November 2015.
  41. "Cost-Aware Resource Provisioning for Cloud-based Scientific Workflows," 11th IEEE International Conference on e-Science (e-Science), Munich, Germany, November 2015.
  42. "A Reproducible Framework Powered By Globus," GlobusWorld, Chicago, USA, April 2015.
  43. "Taming Big Data: Accelerating Discovery via Outsourcing and Automation," eResearch NZ, Queenstown, New Zealand, March 2015.
  44. "Enhanced Campus Bridging via a Campus Data Service Using Globus and the Science DMZ," eResearch NZ, Queenstown, New Zealand, March 2015.
  45. "Cloud-based Image Analysis Gateway for Traumatic Brain Injury Research," Gateway Computing Environments Workshop, New Orleans, November 2014.
  46. "Globus Nexus: Research identity, profile,and group management as a service," 10th IEEE International Conference on e-Science (e-Science), Sao Paulo, Brazil, September 2014.
  47. "Supporting Scientific (meta)data Management with Globus," Computation Institute Seminar, Chicago, August 2014.
  48. "Simplifying Scientific Data Management through SaaS," EarthCube all hands meeting, Washington, June 2014.
  49. "Delivering a Campus Research Data Publishing Service with Globus," DASPOS meeting, Chicago, May 2014.
  50. "Collaboration on Large Datasets using Globus," Digital Science -- Information, Interaction, and Influence, Chicago, May 2014.
  51. "Analyzing and Improving Collaborative eScience with Social Networks Introduction," 9th IEEE International Conference on e-Science (e-Science), Beijing, China, October 2013.
  52. "Globus Nexus: An identity, profile, and group management platform for collaborative science applications," Science Gateway Institute Workshop, Indianapolis, USA, September 2013.
  53. "Crowdsourcing Cloud Infrastructure using Social Networks," Dagstuhl Seminar, Dagstuhl, Germany, September 2013.
  54. "DTI Image Processing Pipeline and Cloud Computing Environment," Workshop on Diffusion MRI in Traumatic Brain Injury: Software Tools and International Shared Data Repository, Heidelberg, Germany, June 2013.
  55. "Managing Datasets in Globus Online, GlobusWorld, Chicago, USA, March 2013.
  56. "A Social Content Delivery Network for Scientific Cooperation: Vision, Design, and Architecture," International Workshop on Data Intensive Computing in the Clouds (DataCloud), Salt Lake City, USA, November 2012.
  57. "Co-operative economic Meta Scheduling," Illinois Institute of Technology Seminar, Chicago, USA, September 2011.
  58. "Towards Co-operative economic Meta Scheduling in Grid and Cloud systems." Computation Institute Data Seminar, Chicago, USA, June 2011.
  59. "Social Networking for Cluster, Cloud and Grid Computing," Workshop on the application of Social Networking concepts to Cluster, Cloud, Grid and Services Computing (SN4CCGridS), Los Angeles, USA, June 2011.
  60. "Medical NLP in the Cloud," iDash Workshop -- Designing an Ecosystem for Clinical NLP, San Diego, USA, May 2011.
  61. "Distributed, Co-operative Meta Scheduling," Distributed Systems Laboratory Seminar, Cardiff University. Cardiff, UK, September 2010.
  62. "Scientific workflows as services in caGrid: a Taverna and gRAVI approach," 7th International Conference on Web Services (ICWS), Los Angeles, USA, July 2009.
  63. "Secure Distributed Economic Meta-scheduling for the Grid," CLOUDS Lab Seminar, University of Melbourne. Melbourne, Australia, March 2008.
  64. "A Distributed Economic Meta-scheduler for the Grid," 8th IEEE International Symposium on Cluster Computing and the Grid (CCGrid), Lyon, France, May 2008.