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Fundamental and Computational Sciences Directorate

Staff information


Khushbu Agarwal

Data Scientist

Research Interests

  • Data Mining, High performance Computing, GPUs

Education and Credentials

  • M.S. Dept of Computer Science and Engineering. The Ohio state University. Columbus OH - Dec 2007
  • B.E. Dept of Computer Science and Engineering. Birla Institute of Technology. Mesra - Jun 2005

Affiliations and Professional Service

  • IEEE Women in Engineering

Awards and Recognitions

  • University Fellow, The Ohio State University 2005-2006

PNNL Publications


  • Agarwal K., S. Choudhury, S. Tipirneni, P. Mukherjee, C.M. Ham, S. Tamang, and M. Baker, et al. 2022. "Preparing for the next pandemic via transfer learning from existing diseases with hierarchical multi-modal BERT: a study on COVID-19 outcome prediction." Scientific Reports 12. PNNL-SA-166555. doi:10.21203/


  • Nandanoori S., S. Pal, S. Sinha, S. Kundu, K. Agarwal, and S. Choudhury. 2021. "Data-driven Distributed Learning of Multi-agent Systems: A Koopman Operator Approach." In IEEE 60th Conference on Decision and Control (CDC 2021), December 14-17, 2021, Austin, TX, 5059-5066. Piscataway, New Jersey:IEEE. PNNL-SA-160981. doi:10.1109/CDC45484.2021.9682872


  • Nandanoori S., S. Kundu, S. Pal, K. Agarwal, and S. Choudhury. 2020. "Model-Agnostic Algorithm for Real-Time Attack Identification in Power Grid using Koopman Modes." In IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (IEEE SmartGridComm 2020), November 11-13, 2020, Tempe AZ, 1-6. Piscataway, New Jersey:IEEE. PNNL-SA-154191. doi:10.1109/SmartGridComm47815.2020.9303022


  • Choudhury S., S. Purohit, P. Lin, Y. Wu, L.B. Holder, and K. Agarwal. 2018. "Percolator: Scalable Pattern Discovery in Dynamic Graphs." In Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining (WSDM 2018), February 5-9, 2018, Los Angeles, California, 759-762. New York, New York:ACM. PNNL-SA-128916. doi:10.1145/3159652.3160589
  • Corley C.D., N.O. Hodas, E.H. Yeung, A.M. Tartakovsky, T.J. Hagge, S. Choudhury, and K. Agarwal, et al. 2018. "Deep Learning for Scientific Discovery." The Next Wave 22, no. 1:27-31. PNNL-SA-129480.


  • Castellana V.G., M. Minutoli, S. Bhatt, K. Agarwal, J.T. Feo, D.G. Chavarria Miranda, and D.J. Haglin. 2017. "High-Performance Data Analytics Beyond the Relational and Graph Data Models with GEMS." In IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW 2017), May 29-June 2, 2017, Orlando, Florida, 1029-1038. Piscataway, New Jersey:IEEE. PNNL-SA-124655. doi:10.1109/IPDPSW.2017.70
  • Choudhury S., K. Agarwal, S. Purohit, B. Zhang, M.A. Pirrung, W.P. Smith, and M. Thomas. 2017. "NOUS: Construction and Querying of Dynamic Knowledge Graphs." In IEEE 33rd International Conference on Data Engineering (ICDE 2017), April 19-22, 2017, San Diego, California, 1563-1565. Piscataway, New Jersey:IEEE. PNNL-SA-123812. doi:10.1109/ICDE.2017.228


  • Zhang B., S. Choudhury, M. Al-Hasan, X. Ning, K. Agarwal, S. Purohit, and P. Pesantez. 2016. "Trust from the past: Bayesian Personalized Ranking based Link Prediction in Knowledge Graphs." In Third Workshop on Mining Networks and Graphs: A Big Data Analytic Challenge (MNG 2016), May 7, 2016, Miami, Florida. Philadelphia, Pennsylvania:Society for Industrial and Applied Mathematics (SIAM). PNNL-SA-115550.


  • Choudhury S., L. Holder, G. Chin, K. Agarwal, and J.T. Feo. 2015. "A Selectivity based approach to Continuous Pattern Detection in Streaming Graphs." In Proceedings of the 18th International Conference on Extending Database Technology (EDBT), March 23-27, 2015, Brussels, Belgium, 157-168. PNNL-SA-107908. doi:10.5441/002/edbt.2015.15
  • Scheibe T.D., K.L. Schuchardt, K. Agarwal, J.M. Chase, X. Yang, B.J. Palmer, and A.M. Tartakovsky, et al. 2015. "Hybrid multiscale simulation of a mixing-controlled reaction." Advances in Water Resources 83. PNNL-SA-105960. doi:10.1016/j.advwatres.2015.06.006
  • Vishnu A., and K. Agarwal. 2015. "Large Scale Frequent Pattern Mining using MPI One-Sided Model." In IEEE International Conference on Cluster Computing (CLUSTER 2015), September 8-11, 2015, Chicago, Illinois, 138-147. Piscataway, New Jersey:IEEE. PNNL-SA-110836. doi:10.1109/CLUSTER.2015.30


  • Ciraci S., J.A. Daily, J.C. Fuller, A.R. Fisher, L.D. Marinovici, and K. Agarwal. 2014. "FNCS: A Framework for Power System and Communication Networks Co-Simulation." In DEVS 2014: Proceedings of the Symposium on Theory of Modeling & Simulation, April 13-16, 2014, Tampa, Florida, Article No. 36. San Diego, California:Society for Computer Simulation International. PNNL-SA-100344.
  • Ciraci S., J.A. Daily, K. Agarwal, J.C. Fuller, L.D. Marinovici, and A.R. Fisher. 2014. "Synchronization Algorithms for Co-Simulation of Power Grid and Communication Networks." In IEEE 22nd International Symposium on Modeling Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS 2014), September 9-11, 2014, Paris, France, 355-364. Piscataway, New Jersey:IEEE. PNNL-SA-101723. doi:10.1109/MASCOTS.2014.51
  • Scheibe T.D., X. Yang, K.L. Schuchardt, K. Agarwal, J.M. Chase, B.J. Palmer, and A.M. Tartakovsky. 2014. "A Many-Task Parallel Approach for Multiscale Simulations of Subsurface Flow and Reactive Transport." In 7th Workshop on Many-Task Computing on Clouds, Grids, and Supercomputers (MTAGS 2014), November 16, 2014, New Orleans, Louisiana. New York, New York:ACM. PNNL-SA-105263.


  • Agarwal K., P. Sharma, J. Ma, C. Lo, I. Gorton, and Y. Liu. 2013. "REVEAL: An Extensible Reduced Order Model Builder for Simulation and Modeling." Computing in Science & Engineering 16, no. 2:44-53. PNNL-SA-90857. doi:10.1109/MCSE.2013.46
  • Chavarrķa-Miranda D., K. Agarwal, and T. Straatsma. 2013. "Scalable PGAS Metadata Management on Extreme Scale Systems." In 13th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid'13), May 13-16, 2013, Delft, Netherlands, edited by P Balaji, D Epema and T Fahringer, 103-111. Los Alamitos, California:IEEE Computer Society. PNNL-SA-93214. doi:10.1109/CCGrid.2013.83
  • Pan W., J. Bao, C. Lo, C. Lai, K. Agarwal, B.J. Koeppel, and M.A. Khaleel. 2013. "A general approach to develop reduced order models for simulation of solid oxide fuel cell stacks." Journal of Power Sources 232. PNNL-SA-90310. doi:10.1016/j.jpowsour.2013.01.057


  • Agarwal K., J.M. Chase, K.L. Schuchardt, T.D. Scheibe, B.J. Palmer, and T.O. Elsethagen. 2011. "Design and Implementation of “Many Parallel Task” Hybrid Subsurface Model." In MTAGS '11: Proceedings of the 2011 ACM International Workshop on Many Task Computing on Grids and Supercomputers, November 12-18, 2011, Seattle, Washington, 25-32. New York, New York:Association for Computing Machinery. PNNL-SA-83048. doi:10.1145/2132876.2132884
  • Yin J., K. Agarwal, M. Krishnan, D. Chavarrķa-Miranda, I. Gorton, and T.G. Epperly. 2011. "Implementing High Performance Remote Method Invocation in CCA." In IEEE International Conference on Cluster Computing (CLUSTER 2011), September 26-30, 2011, Austin, Texas, 547-551. Los Alamitos, California:IEEE Computer Society. PNNL-SA-81450. doi:10.1109/CLUSTER.2011.78


  • Krishnamoorthy S., and K. Agarwal. 2010. "Scalable Communication Trace Compression." In The 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing, 408-417. Piscataway, New Jersey:Institute of Electrical and Electronics Engineers. PNNL-SA-70735. doi:10.1109/CCGRID.2010.111
  • Schuchardt K.L., K. Agarwal, J.M. Chase, M.L. Rockhold, V.L. Freedman, T.O. Elsethagen, and T.D. Scheibe, et al. 2010. "Task parallel sensitivity analysis and parameter estimation of groundwater simulations through the SALSSA framework." In Proceedings of the 2010 Scientific Discovery through Advanced Computing (SciDAC) Conference, July 11-15, 2010, Cattanooga, Tennessee, 233-237. Oak Ridge, Tennessee:Oak Ridge National Laboratory. PNNL-SA-73770.
  • Shah A.R., K. Agarwal, E.S. Baker, M. Singhal, A.M. Mayampurath, Y.M. Ibrahim, and L.J. Kangas, et al. 2010. "Machine learning based prediction for peptide drift times in ion mobility spectrometry." Bioinformatics 26, no. 13:1601-1607. PNWD-SA-8802. doi:10.1093/bioinformatics/btq245

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