L. F. Goodrich and A. N. Srivastava, “Comparison of Transport Critical Current Measurement Methods,” Advanced Cryogenics Engineering Materials, 38B., 559-566, (1992)
L. F. Goodrich and A. N. Srivastava, and T. C. Stauffer, “Simulators of Superconductor Critical Current: Design, Characteristic and Applications,” Journal of Research of the National Institute of Standards and Technology, 96, 703-724, (1990).
L. F. Goodrich and A. N. Srivastava, “Critical-Current Simulation and Data Acquisition,” Superconductor Industry Magazine, spring 1992, pp. 28-36.
L. F. Goodrich and A. N. Srivastava, “Critical Current Measurement Methods: Quantitative Evaluation,” Versailles Project on Advanced Materials and Standards (VAMAS), Cryogenics, Vol. 35, VAMAS Supplement, pp S19-S23, 1995
L. F. Goodrich and A. N. Srivastava, “Thermal Contraction of Fiberglass-Epoxy Sample Holders Used for Nb3Sn Critical-Current Measurements,” Versailles Project on Advanced Materials and Standards, Cryogenics, 1994.
L. F. Goodrich and A. N. Srivastava, M. Yuyama, and H. Wada, “n-Value and Second Derivative of the Superconductor Voltage Current Characteristic,” IEEE Transactions on Applied Superconductivity, Vol. 3, No. 1, pp. 1265-1268, 1993.
L. F. Goodrich and A. N. Srivastava, “Standard Reference Devices for High Temperature Superconductor Critical-Current Measurements,” Cryogenics, 33, 1142-1148, 1993.
L. F. Goodrich, A. N. Srivastava, T. C. Stauffer, A. Roshko, and L. R. Vale, “High Current Pressure Contacts to Ag Pads on Thin Film Superconductors”, IEEE Transactions on Applied Superconductivity, Vol. 3, No. 2, 61-63, June 1994.
L. F. Goodrich, J. A. Wiejackza, A. N. Srivastava, and T. C. Stauffer, “Superconductor Critical Current Measurement Standards for Fusion Applications,” NIST-IR-1994, Boulder, CO.
L. F. Goodrich, J. A. Wiejackza, T. C. Stauffer, and L. T. Medina, USA Interlaboratory Comparison of Superconductor Simulator Critical Current Measurements, IEEE Transactions on Applied Superconductivity, 5, Part 1 (2): pp. 548-551; June, 95.
L. F. Goodrich, J. A. Wiejackza, T. C. Stauffer, and L. T. Medina, First VAMAS USA Interlaboratory Comparison of High Temperature Superconductor Critical Current Measurements, IEEE Transactions on Applied Superconductivity, 5, Part 1 (2): pp. 552-555; June, 95.
L. F. Goodrich, J. A. Wiejackza, and A. N. Srivastava, “Anomalous Switching Phenomenon in Critical- Current Measurements When Using Conductive Mandrels” IEEE Trans. On Applied Superconductivity, Vol 5, No. 3, pp. 3442-3444, 1995.
A. S. Weigend and A. N. Srivastava, “Predicting Probability Distributions, A Connectionist Approach,” International Journal of Neural Systems, 6, pp. 109-118, 1995.
A. S. Weigend, M. Mangeas, and A. N. Srivastava, “Nonlinear Gated Experts for Time Series: Discovering Regimes and Avoiding Overfitting,” International Journal Neural Systems, vol. 6, pp. 373-399, 1996.
A. N. Srivastava, “Segmenting Noisy Time Series using Scale Sensitive Gated Experts with Applications to Signal Processing,” Ph.D. Dissertation, University of Colorado, Department of Electrical and Computer Engineering, 1996.
A. N. Srivastava and A. S. Weigend, “Special Issue: Data Mining in Finance,” International Journal of Neural Systems, vol. 6, 1998.
A. N. Srivastava, “Data Mining in Semiconductor Yield Forecasting: Enhancement of Manufacturing Productivity,” Future Fab International Magazine, Volume 7, 1999.
A. N. Srivastava, R. Su, and A. S. Weigend, “Data Mining for Features using Scale Sensitive Gated Experts,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol 21 (12), December 1999.
A. N. Srivastava, N. C. Oza, and J. Stroeve, “Virtual Sensors: Using Data Mining Techniques to Efficiently Estimate Remote Sensing Spectra,” Special Issue on Advanced Data Analysis, IEEE Transactions on Geoscience and Remote Sensing, Vol 43 (3), March 2005.
S. Budalakoti, A. N. Srivastava, and M. Otey, “Detecting and Diagnosing Anomalies in High-Dimensional Symbol Sequences with Applications to Airline Safety,” IEEE Transactions on Systems Man and Cybernetics-C, 39 (1), 2009.
S. Das, A. Chattopadhyay, and A. N. Srivastava, “Classifying Induced Damage in Composite Plates using One Class Support Vector Machines,” AIAA Journal, Volume 48, Number 4, April 2010.
A. N. Srivastava and S. Das, “Detection and Prognostics for Low-Dimensional Systems,” IEEE Transactions on Systems Man and Cybernetics-C, 39 (1), 2009.
L. Foster, A, A. Waagen, N. Aijaz, M. Hurley, A. Luis, J. Rinsky, C. Satyavolu, M. J. Way, P. Gazis, and A. N. Srivastava, “Stable and Efficient Gaussian Process Calculations” Journal of Machine Learning Research, 10(Apr):857–882, 2009.
M. J. Way, L. Foster, P. R. Gazis, and A. N. Srivastava, “New Approaches to Gaussian Process Regression in the Sloan Digital Sky Survey,” Astrophysical Journal, Volume 706, Number 1, 2009.
A. N. Srivastava, C. Meyer, and R. Mah, “A Survey of Integrated Vehicle Health Management: Tools and Technologies for Aerospace Applications” AIAA Encyclopedia of Aerospace Systems, 2010 (invited).
X. Lin, B. Ding, J. Han, N. C. Oza, A. N. Srivastava, B. Zhao and F. Zhu, “Text Cube: Computing IR Measures for Multidimensional Text Database Analysis“, submitted to IEEE Trans. on Knowledge and Data Engineering, 2009.
A. N. Srivastava and J. Han, “Machine Learning and Knowledge Discovery for Systems Health Management, An Introduction,” Machine Learning and Knowledge Discovery for Systems Health Management, Taylor and Francis, 2011.
A. N. Srivastava, D. Mylaraswamy, R. Mah, and E. Cooper, “Vehicle Level Reasoning Systems: Concept and Future Directions,” Society of Automotive Engineers Integrated Vehicle Health Management Book, Ian Jennions, Ed., 2011.
M. M. Masud, Q. Chen, L. Khan, C. C. Aggarwal, J. Gao, J. Han, A. N. Srivastava, and N. C. Oza, “Adaptive Classification and Novel Class Detection of Feature-Evolving Data Streams,” submitted to IEEE Transactions on Knowledge Discovery and Data Engineering, 2011.
L. El Ghaoui, G. C. Li, V. Duong, V. Pham, A. N. Srivastava, and K. Bhaduri, “Sparse Machine Learning Methods for Understanding Large Text Corpora”, submitted to Statistical Analysis and Data Mining, a Journal of the American Statistical Association, 2012 (invited, working title).
J. Schumann, T. Mbaya, O. Mengshoel, K. Pipatsrisawat, A. N. Srivastava, A. Choi, and A. Darwiche, “Software Health Management with Bayesian Networks,” submitted to Innovations in Systems and Software Engineering, 2012.
B. Matthews, S. Das, K. Bhaduri, K. Das, R. Martin, N. C. Oza, J. Stutz, and A. N. Srivastava, “Discovering Anomalous Aviation Safety Events using Scalable Data Mining Algorithms,” submitted to the ACM SIGKDD Knowledge Discovery and Data Mining Conference, 2012.
A. N. Srivastava, R. Bharadwaj, D. Mylaraswamy, and R. Mah, “Vehicle Level Reasoning Systems: Real-time Diagnostics, Prognostics, and Data Mining,” SAE International Book on IVHM Applications, 2012.
L. Li, S. Das, R. J. Hansman, R. Palacios, and A. N. Srivastava, “Analysis of Flight Recorder Data Using Clustering Techniques for Detecting Abnormal Operations,” AIAA Journal of Aerospace Information Systems, 2015.
Conference and Technical Publications
L. F. Goodrich and A. N. Srivastava, “Trends in Superconductor Critical-Current Measurement Technology in the USA,” Proceedings of the International Symposium on Pre-standards Research for Advanced Materials, 297-300, Dec. 1991, Tokyo, Japan.
L. F. Goodrich and A. N. Srivastava, “Trends in Superconductor Critical-Current Measurement Technology in the USA,” Proceedings of the 4th Annual US Japan Workshop on High Temperature Superconductivity, Nov. 1992, Washington, D.C.
L. F. Goodrich and A. N. Srivastava, “Standardization of Critical-Current Measurements on Nb3Sn Wires,” Proceedings of the Conference on US Japan Cooperation, Madison, Wisconsin, March 1993.
A. N. Srivastava and R. Su, “ Associative and Non associative Neural Network Design for Somatosensory Integration,” Proceedings of the IEEE Engineering in Medicine and Biology Conference, San Diego, CA, October 1993.
D. Aized, J. W. Haddad, C. H. Joshi, L.F. Goodrich, and A. N. Srivastava, “Comparing the accuracy of critical-current measurements using the voltage-current simulator,” to be published, Proceedings of the Thirteenth International Conference on Magnet Technology, British Columbia, Canada, Sept. 20-24, 1993.
L. F. Goodrich and A. N. Srivastava, “A Simple and Repeatable Technique for Measuring the Critical Current of Nb3Sn Wires,” Proceedings of the 7th International Workshop on Critical Currents in Superconductors, World Scientific Publishing CO. PTE. LTD., Alpbach, Austria, 1994.
A N. Srivastava and A. S. Weigend, “Computing the Probability Density in Connectionist Regression,” Proceedings of the International Conference on Artificial Neural Networks (ICANN), Sorrento, Italy, May 26-29, 1994, Springer-Verlag, pp. 685-688.
A. N. Srivastava and W. Buntine, “Data Analysis of Components in the Optical Plume of the Space Shuttle Main Engine,” Proceedings of the AIAA Electrochemical Conference, San Antonio, Texas, 1995.
A. S. Weigend and A. N. Srivastava (1996) Modeling, Learning, and Meaning: Extracting Regimes from Time Series. In: Melecon ’96 (8th Mediterranean Electrotechnical Conference, May 13-16, 1996, Bari, Italy), pp. 95-99. Piscataway, NJ: IEEE Service Center.
A. N. Srivastava, and J. Stroeve, “Snow, Ice, and Cloud Detection using Kernel Clustering,” Proceedings of the Workshop on Machine Learning for Autonomous Space Applications, International Conference on Machine Learning, 2003
A. N. Srivastava, J. C. Stroeve, and N. Oza, “Using Kernel Methods to Detect Clouds, Snow, Ice and other Geophysical Processes,” American Geophysical Union, San Francisco, CA, 2003.
A. Lotsch, M. Friedl, A. Anderson, C. Tucker, and A. N. Srivastava, “Linking Ocean-Atmosphere Dynamics to Precipitation-Vegetation Covariability,” American Geophysical Union, San Francisco, CA, 2003.
A. N. Srivastava and N. Oza, “Knowledge Driven Image Mining with Mixture Density Mercer Kernels,” European Space Agency Special Publication #553, Proceedings of the European Image Information Mining Coordination Group, Madrid, Spain 2004
A. N. Srivastava and B. Zane-Ulman, “Discovering Hidden Anomalies in Text Reports Regarding Complex Space Systems”, IEEE Aerospace Conference, Big Sky, MT, 2005.
A. N. Srivastava, “Discovering Anomalies in Sequences with Applications to System Health,” Proceedings of the 2005 Joint Army Navy NASA Air Force Interagency Conference on Propulsion, Charleston SC, 2005.
N. C. Oza, A. N. Srivastava, and J. Stroeve, “Improvements in Virtual Sensors: Using Spatial Information to Estimate Remote Sensing Spectra,” IEEE International Geoscience and Remote Sensing Symposium Proceedings, Seoul Korea, 2005.
S. Budalakoti, A. N. Srivastava, R. Akella, “Discovering Atypical Flights in Sequences of Discrete Flight Parameters,” 2006 Proceedings of the IEEE Aerospace Conference, 2006.
A. N. Srivastava and R. Nemani, “Quantifying Seasonal Variation in Cloud Cover with Predictive Models,” Invited Talk at American Geophysical Union, 2005.
S. Das, A. N. Srivastava, and A. Chattopadhyay, “One-Class SVMs Based Classification of Damage Signatures in Composite Plates”, accepted for publication in the Proceedings of the 2007 IEEE Aerospace Conference.
A. N. Srivastava, M. J. Way, and P. Gazis, “Calculating Photometric Redshifts Using Nonlinear Regression Methods: A Comparative Study”, 2006 Fall AGU Meeting, San Francisco.
A. N. Srivastava, B. Matthews, and S. Das, “Novel Methods for Spectral Signal Decomposition with Applications to Optical Spectroscopy,” accepted to the proceedings of the Joint Army Navy NASA Air Force Conference on Propulsion Systems, Dec. 2008.
B. Matthews and A. N. Srivastava, “A Comparison of Anomaly Detection Methods on a Ground Test Firing of a Subscale SRM,” accepted to the proceedings of the Army Navy NASA Air Force Conference on Propulsion Systems, Dec. 2008.
D. Gorinevsky, R. Mah, and A. N. Srivastava, “Integration Architecture for the IVHM Project,” accepted at the 2009 Integrated Systems Health Management Conference, AFRL, 2009.
S. Das, B. Matthews, K. Bhaduri, and A. N. Srivastava, “Detecting Anomalies in Multivariate Data Sets with Switching Sequences and Continuous Streams,” Neural Information Processing Systems Workshop on Multiple Kernel Learning Techniques, 2009 (poster).
A. N. Srivastava, N. V. Chawla, P. S. Yu, and P. Melby (eds), “Proceedings of the 2010 Conference on Intelligent Data Understanding,” CIDU 2010, October 5-6, 2010, Mountain View, CA, USA.
R. M. Mastrapa, J. W. Barnes, B. Matthews, B. Ou-Yang, A. N. Srivastava, “Ammonia on Enceladus,” American Geophysical Union, 2009.
S. Das, B. Matthews, A. N. Srivastava, and N. C. Oza, “Multiple Kernel Learning for Heterogeneous Anomaly Detection: Algorithm and Aviation Safety Case Study,” Proceedings of the ACM SIGKDD Knowledge Discovery and Data Mining Conference, 2010.
J. Schumann, A. N. Srivastava, and O. J. Mengshoel, “Who guards the Guardians? Toward V&V of Health Management Software,” Proceedings of the Runtime Verification Conference, 2010.
J. Schumann, O. J. Mengshoel, A. N. Srivastava, and A. Darwiche, “Towards Software Health Management with Bayesian Networks,” Proceedings of the 2010 Workshop on the Future of Software Engineering.
A. N. Srivastava and P. Fabiani, “NASA-ONERA Collaboration on Human Factors in Aviation Accidents and Incidents: First Annual Report,” NASA Technical Publication, 2011.
A. N. Srivastava and P. Barton, “NASA-EasyJet Collaboration on the Human Factors Monitoring Program (HFMP) Study,” NASA Technical Publication, 2011.
A. N. Srivastava, N. V. Chawla, A. S. Perera (eds), “Proceedings of the 2011 Conference on Intelligent Data Understanding,” CIDU 2011, October 19-21, 2011, Mountain View, CA, USA.
I. Statler, A. N. Srivastava and P. Fabiani, “NASA-ONERA Collaboration on Human Factors in Aviation Accidents and Incidents: Second Annual Report,” NASA Technical Publication, 2012, in preparation.
I. Statler, A. N. Srivastava and P. Barton, “NASA-EasyJet Collaboration on the Human Factors Monitoring Program (HFMP) Study: Second Annual Report,” NASA Technical Publication, 2012, in preparation.
J. Jenkins, S. McCauliff, C. Burke, J. Twicken, T. Klaus, D. Sanderfer, A. N. Srivastava, M. Haas, “Auto-Vetting Transiting Planet Candidates Identified by the Kepler Science Pipeline,” submitted to the International Astronomical Union, Beijing, China, March 2012.
S. Das, S. Sarkar, A. Ray, A. N. Srivastava, D. L. Simon, “Anomaly Detection in Flight Recorder Data: A Dynamic Data-Driven Approach,” submitted to the American Control Conference, 2013.
S. Das, L. Li, A. N. Srivastava, and R. J. Hansman, “Comparison of Algorithms for Anomaly Detection in Flight Recorder Data of Airline Operations,” Proceedings of the 12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference, Indianapolis, Indiana, 17 – 19 September 2012.
B. Matthews, J. Schade, N. Oza, and A. N. Srivastava, “Discovery of Abnormal Flight Patterns in Radar Track Data: A Case Study,” in preparation for the Tenth USA/Europe Air Traffic Management Research and Development Seminar (ATM2013).
A. Rider and A. N. Srivastava, “Dynamic Topic Models for Trends in Aviation Safety,” Extended Abstract and Poster Presentation, Conference on Intelligent Data Understanding, 2012.
S. Das., S. Sarkar, A. Ray, A. N. Srivastava, and D. L. Simon, “Anomaly Detection in Flight Recorder Data: A Dynamic Data-Driven Approach,” submitted to the American Control Conference, 2013.
A. N. Srivastava and P. Barton, NASA easyJet Collaboration on the Human Factors Monitoring Program Study, NASA Technical Report 2012.
A. N. Srivastava and P. Fabiani, NASA Onera Collaboration on the Human Factors in Aviation Accidents and Incidents, NASA Technical Report 2012.
A. N. Srivastava, J. Hamlett (Project Officers), “NASA Southwest Airlines Automated Analysis of Diverse Aviation Data,” by Ryan Nurnburger and Sricharan Kumar, NASA Technical report 2012.
A. N. Srivastava, S. Harms (Project Officers), “NASA HP Corporate Jets Automated Analysis of Aircraft Performance,” by Kamalika Das and Bryan Matthews, NASA Technical report 2012.
A. N. Srivastava, N. V. Chawla, K. Das (eds), “Proceedings of the 2012 Conference on Intelligent Data Understanding,” CIDU 2012, October 2012, Boulder CO, USA.