William G. Hanley, Ph.D.

With over 30 years of experience in applied mathematics, statistics and computer science, Dr. Hanley has expertise in computational statistics, machine learning, data mining, decision methodologies, systems modeling and analysis, uncertainty quantification, computer vision and remote sensing. Dr. Hanley has served as the principal investigator and/or co-investigator on numerous applied research and advanced development efforts focused upon: threat/anomaly detection; text mining; cyber security; infrastructure protection; situation assessment and emergency response; complex system modeling; environmental remediation; seismol-ogy/geophysics; target tracking; broad area search and non-destructive testing. He recently completed two successful R&D efforts focused upon the development of 1) cost sensitive detection algorithms and 2) methodologies for event extraction from unstructured text. Both of these efforts resulted in patents and multiple referred publications.

Prior to joining Exponent, Dr. Hanley held several leadership positions at Lawrence Livermore National Laboratory (LLNL) including Deputy Division Leader for the National Security Engineering Division, and Section Leader for Systems and Intelligence Analysis. Dr. Hanley founded the Systems and Intelligence Analysis Section and under his direction the organization grew by 5X in 8 years. Before joining LLNL, Dr. Hanley managed the Scene Analysis Department and served as a Senior Scientist at Advanced Decision Systems. Earlier, while at Hughes Aircraft Company, he led the Algorithm Development & Analysis Section and the Mathematical Analysis Group. During his career, customers have included: DoD, DARPA, AFWAL, RADC, CNEVO, NRL, EPA, NASA, DoE, IC, MIT Lincoln Laboratory, Lockheed-Martin, and Boeing and American Airlines.

Lemmond T, Kidwell P, Boakye K, Guensche J, Nitao J, Hanley W, Prenger R, Glaser R. Pattern-based aggregation of named entity extractors. Proceedings, 7th International Conference on Data Mining (DMIN’11), Las Vegas, NV, July 2011.

Lemmond T, Perry N, Guensche J, Nitao J, Glaser R, Kidwell P, Hanley W. Enhanced named entity extraction via error-driven aggregation. Proceedings, 6th International Conference on Data Mining (DMIN’10), Las Vegas, NV, July 2010.

Prenger R, Lemmond T, Varshney K, Chen B, Hanley W. Class-specific error bounds for ensemble classifiers. Proceedings, 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’10), Washington, DC, July 2010.

Chen B, Lemmond T, Hanley W. Building ultra-low false alarm rate support vector classifier ensembles using random subspaces. Proceedings of IEEE Symposium on Computational Intelligence and Data Mining, April 2009.

Myers S, Johannesson G, Hanley W. Incorporation of probabilistic seismic phase labels into a bayesian multiple-event seismic locator. Geophysical Journal International, December 2008.

Lemmond T, Hatch A, Chen B, Knapp D, Hiller L, Mugge M, Hanley W. Discriminant random forests. Proceedings, International Conference on Data Mining (DMIN’08), Las Vegas, NV, July 2008.

Monache L, Lundquist J, Kosovic B, Johannesson G, Dyer K, Aines R, Chow F, Belles R, Hanley W, Larsen S, Loosmore G, Nitao J, Sugiyama G, Vogt P. Bayesian inference and Markov Chain Monte Carlo sampling to reconstruct a contaminant source at a continental scale. Journal of Applied Meteorology and Climatology, May 2008.

Myers S, Johannesson G, Hanley W. A Bayesian Hierarchical method for multiple-event seismic location, Geophysical Journal International, December 2007.

Glaser R, Lee C, Nitao J, Hickling T, Hanley W. A Markov-Chain Monte-Carlo based method for damage detection in beams. Journal of Engineering Mechanics 2007 Dec; 133(12):1258–1267.

Yao Y, Hickling T, J. Lenderman and Hanley W, Graph Clustering Evaluation via Integer Linear Programming, WORLDCOMP: International Conference on Data Mining, June 2007.

Yao Y, Hickling T and Hanley W, An Exact Solution Method for Finding Community Structure in Graphs, SIAM Conference on Data Mining, April 2007.

Johannesson G, Dyer K, Hanley W, Kosovic B, Larson S, Loosemore G, Lundquist J, Mirin A. Sequential Monte-Carlo based framework for dynamic data-driven event reconstruction for atmospheric release. Proceedings, Nonlinear Statistical Signal Processing Workshop: Classical, Unscented and Particle Filtering Methods, University of Cambridge, September 2006.

Monache L, Dyer K, Johannesson G, Kosovic B, Hanley W, Larsen S, Loosmore G, Lundquist J, Mirin A, Sugiyama G. Event reconstruction for atmospheric releases at the continental scale. A Case Study: May 1998, Algeciras, Spain. 10th Annual George Mason University Conference on Atmospheric Transport and Dispersion Modeling, August 2006.

Neuman S, Glascoe L, Kosovic B ́, Dyer K, Hanley W, Nitao J, Gordon R. Event reconstruction for atmospheric release employing Urban Puff Model UDM with stochastic inversion methodology. 86th Annual American Meteorological Society, January 2006.

Myers S, Johannesson G, Hanley W. Multiple-event seismic location using the Markov-Chain Monte Carlo technique. AGU Annual Meetings, December 2005.

Johannesson G, Hanley W, Kosovic B, Lundquist J, Mirin A. Sequential Monte Carlo approach to dynamic data-driven event reconstruction for atmospheric releases. Proceedings, JSM, Minneapolis MN, August 2005.

Johannesson G, Myers S, Hanley W. Hierarchical Bayesian approach to location estimation of seismic events. Proceedings, JSM, Minneapolis MN, August 2005.

Kosovic B, Hanley W. A random walk through time and space. Science and Technology Review, Lawrence Livermore National Laboratory, July 2005.

Ramirez A, Nitao J, Hanley W, Aines R, Glaser R, Sengupta S, Dyer K, Hickling T, Daily W. Stochastic inversion of electrical resistivity changes using a MCMC approach. Journal of Geophysical Research 2004 Apr; 110:B02101.

R. Serben, Johannesson G, Nitao J, Hanley W, Kosovic B, Larson S, Loosemore G, Lundquist J, Dynamic data-driven event reconstruction for atmospheric releases. 2nd Sandia Workshop on Large-scale PDE-Constrained Optimization: Towards Real-time and Online PDE-Constrained Optimization, Santa Fe, NM, May 2004.

Levine R, Yu Z, Hanley W, Nitao J. Implementing Random scan Gibbs samplers. Computational Statistics, 2004.

Levine R, Yu Z, Hanley W, Nitao J. Implementing component-wise Hastings samplers. Journal of Computational Statistics and Data Analysis, 2004.

Slone D, Aufderheide M III, Henderson K, Aines R, Ramirez A, Hanley W, Nitao JA. MCMC approach to transmission tomography from a limited number of views. 5th International Congress on Industrial and Applied Mathematics (ICIAM), Sydney, Australia, July 2003.

Carle S, Aines R, Newmark R, Ramirez A, Hanley W, Nitao J. Environmental applications of the stochastic engine. SAMSI Workshop on Simulation and Optimization, April 2003.

Glaser R, Hanley W, Lee C, Nitao J. A MCMC based method for system identification. IMAC-XXI Conference & Exposition on Structural Dynamics, Feburary 2003.

Glaser R, Hanley W, Lee C, Nitao J. Vibration signature based modeling and simulation. FY02 Engineering Technology Report, January 2003.

Rodi W, Schultz C, Hanley W, Sarkar S, Kuleli H. Grid-search location methods for ground-truth collection from local and regional seismic networks. 24th Seismic Research Review – Nuclear Explosion Monitoring, September 2002.

Aines R, Carle RS, Nitao J, Glaser R, Hanley W, Sengupta S, Ramirez A, Dyer K, Newmark R, Converting data to decisions. Science and Technology Review, Lawrence Livermore National Laboratory, July 2002.

Newmark R, Carle RS, Nitao J, Glaser R, Hanley W, Sengupta S, Ramirez A, Dyer K, Aines R. Stochastic engine: Direct incorporation of measurements into predictive simulations. URCL-JC 145116. Proceedings, International Groundwater Symposium: Bridging the Gap Between Measurement and Modeling in Heterogeneous Media, Berkeley, CA March 2002.

Schultz C, Flanagan M, Myers S, Pasyanos M, Swenson J, Hanley W, Ryall R, Dodge D. LLNL seismic location: Validating improvement through integration of regionalized models and empirical corrections. Seismic Research Review, August 2001.

Harris D, Dowla F, Hanley W. Location capabilities analysis with calibration events. CTBT Annual Symposium, September 1998.

Posters

Gawalt B, Prenger R, Chen B, Hanley W. An investigation of forest-based density estimation for classification. LLNL Post Doctoral Poster Session, July 2010.

Prenger R, Chen B, Lemmond T, Merl D, Kosinovsky G, Hanley W. The MAP forest: Ultra-compact classifiers. Post Doctoral Poster Session, July 2010.

Prenger R, Lemmond T, Varshney K, Chen B, Hanley W. Class-specific error bounds for ensemble classifiers. Proceedings, 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’10), Washington, DC, July 2010.

Prenger R, Chen B, Lemmond T, Varshney K, Hanley W. An investigation of random forest behavior in different ROC regions. LLNL Post Doctoral Poster Session, May 2009.

X Ji, Gdowski G, Wolery T, Clower C, Hanley W. A methodology for determining deliquescence relative humidity: Sampling strategies. Statistics of Extremes and Confidence, DOE Tri-Lab Engineering Conference 2003, UCRL-JC-153538-ABS.

Rodgers A, Walter W, Sicherman A, Hanley W. Seismic discrimination of recent Indian and Pakistani nuclear tests with short-period amplitude ratios. UCRL-JC-133015-Abs, LLNL, Dec 1999.

Swenson J, Schultz C, Hanley W. Using radially heterogeneous and azimuthally invariant travel-time models to improve seismic location in the Middle East and North Africa. AGU, December 1999.

Schultz C, Myers S, Flanagan M, Swenson J, Hanley W, Pasyanos M. improving regional seismic event location through calibration of the international monitoring system. CTBT Annual Meetings, September 1999.

Walter W, Rodgers A, Sicherman A, Hanley W, Mayeda K, Myers S, Pasyanos M. LLNL's regional seismic discrimination research, CTBT Annual Meetings, September 1999.

Hanley W, Schultz C, Myers S. Statistical analysis of travel time residuals applied to the analysis of station quality. SSA Annual Meetings, May 1999.

Technical Reports

Chen B, Lemmond T, Buyer J, Hiller L, Knapp D, Hanley W. Random Forest Toolbox: A compact user’s guide. LLNL-SM-410820, December 2009.

Ng B, Hanley W. Towards intelligent dynamic deployment of mobile sensors in complex resource-bounded environments. UCRL-TR-231422, April 2007.

Kosovic B, Belles R, Chow F, Monache L, Dyer K, Glascoe L, Hanley W, Johannesson G, Larsen S, Loosmore G, Lundquist J, Mirin A, Neuman S, Nitao J, Serban R, Sugiyama G, Aines R. Dynamic data-driven event reconstruction of atmospheric events. UCRL-TR-229417, March 2007.

Hickling T, Chen B, Knapp D, Hiller L, Mugge M, Hanley W. Discriminant-based random forests. UCRL-TR, February 2007.

Hickling T, Hanley W. Methodologies and metrics for assessing the strength of relationships between entities within semantic graphs. UCRL-TR-216074, October 2005.

Woodworth J, Wilson W, Nitao J, Hanley W. Vision for predictive knowledge discovery: A core capability for NAI and LLNL. UCRL-TR-219038, September 2005.

Johannesson G, Glaser R, Lee C, Nitao J, Hanley W. A multi-resolution Markov-Chain Monte-Carlo approach for system identification with application to a finite element model. UCRL-TR-209485, January 2004.

Wilson W, Nitao J, Melius C, Hanley W, Woodworth J. New integrated Bayesian system for discovering disease transmission routes. UCRL-TR-202529, December 2004.

Johannesson G, Nitao J, Hanley W. Dynamic Bayesian models via Monte Carlo: An introduction with examples. UCRL-ID 207173-TR, September 2004.

Aines R, Nitao J, Hanley W, Carle S, Ramirez A, Newmark R, Johnson V, Glaser R, Sengupta S, Kosovic B, Dyer K, Henderson K, Sugiyama G, Hickling T, Franz G, Pasyanos M, Jones D, Grimm R, Johannesson G, Levine R. Stochastic Engine Final Report: Applying Markov Chain Monte Carlo Methods with Importance Sampling to Large-Scale Data-Driven Simulation. UCRL-TR-202878, March 2004.

Aines R, Carle S, Nitao J, Glaser R, Hanley W, Sengupta S, Ramirez A, Dyer K, Newmark R. The stochastic engine initiative: Improving prediction of behavior in geologic environments we cannot directly observe. UCRL-ID-148221.

Nitao J, Hanley W. Use of averaged densities to promote mixing of the Metropolis MCMC Algorithm. UCRL-ID 145681-DR, October 2001.

Nitao J, Hanley W. Metropolis-type chains with finite memory and an averaging algorithm to promote mixing. UCRL-ID 145680-DR, October 2001.

Hanley W, Glaser R, Lee C. Vibration signature based modeling and simulation. Engineering Technology Proposal, September 2001.

Hanley W. Bayesian linear modeling. LLNL Technical Report, August 2001.

Rodgers, Walter W, Sicherman A, Hanley W. Improvement of regional seismic discrimination by path calibration and multivariate linear discriminant analysis: Application to the May 11, 1998 Indian Nuclear. LLNL Technical Report, March 2000.

Hanley W, Sicherman A. An approach for characterizing regional seismic discrimination effectiveness illustrated with NTS phase and spectral ratio data. LLNL Technical Report, February 2000.

Schultz C, Edmunds T, Hanley W, Dowla F. Developing data mining techniques for large cash transactions. LLNL Technical Report, May 1999.

Hanley W. On the Lorenz Zonoid ordering of multivariate distributions. Ph.D. Dissertation, June 1998.

Hanley W. The effects of reducing independent speckle noise on recognition performance: A case study. U.C. Riverside Technical Report, April 1993.

Morgan D, Miltonberger T, Hanley W, Lawton D, Ettinger G, Esselman T. Sensor algorithm research expert system. Interim Technical Report on Contract #F33615-86-C-1013, April 1990.

Wang D, Morgan D, Miltonberger T, Hanley W. Strategic target algorithm research. Report to MIT Lincoln Laboratory, March 1990.

Morgan D, Miltonberger T, Hanley W, Lawton D, Ettinger G, Esselman T. Symbolic RF signature prediction, Phase II. Final Report on Contract #F33615-87-C-1545, February 1990.

Winkler A, Miltonberger T, Hanley W. Prototype ISAR ship classification expert system. Phase I, Final Report on Contract #N00014-88-C-2452, October 1989.

Segal A, Morgan D, Miltonberger T, Hanley W, Lawton D, Ettinger G, Esselman T, O’Connor J. Automatic Radar Air-To-Ground Target Acquisition Program. ADS-TR, July 1989.

Marek P, Lepley M, Hanley W. Performance modeling for autonomous electro-optical sensors. Final Technical Report on Contract #DAAB10-86-C-0534, November 1987.

Lepley M, Chellappa R, O’Connor J, Singer P, Hanley W. Laser radar ATR algorithms. Report to CNVEO, May 1987.

Lepley M, Hanley W. Morphological image complexity evaluation. Report to AFWAL, July 1986.

Lepley M, Hanley W. The expectation and maximization technique. HAC TR, April 1986.

Lepley M, Hanley W. Geometric scene modeling and complexity metrics. HAC TR, December 1985.

Hanley W. Models for computing the probability of network lock. UCLA Technical Report, June 1983.

Book Chapters

Lemmond T, Chen B, Hatch A, Hanley W. An extended study of the discriminant random forest. Annals of Information Systems, Special Issue on Data Mining, Volume 8, pp. 123-146, Springer, January 2010.

Presentations

Lemmond T, Kidwell P, Boakye K, Guensche J, Nitao J, Hanley W, Prenger R, Glaser R. Pattern-based aggregation of named entity exractors. Proceedings, 7th International Conference on Data Mining (DMIN’11), Las Vegas, NV, July 2011.

Lemmond T, Perry N, Guensche J, Nitao J, Glaser R, Kidwell P, Hanley W. Enhanced named entity extraction via error-driven aggregation. Proceedings, 6th International Conference on Data Mining (DMIN’10), Las Vegas, NV, July 2010.

Lemmond T, Hanley W. Entity extraction via error-driven aggregation, IC Agency, June 2010.

Prenger R, Lemmond T, Varshney K, Chen B, Hanley W. Class-specific error bounds for ensemble classifiers. Proceedings, 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’10), Washington, DC, July 2010.

Chen B, Lemmond T, Hanley W. building ultra-low false alarm rate support vector classifier ensembles using random subspaces. IEEE Symposium on Computational Intelligence and Data Mining, April 2009.

Chen B, Lemmond T, Hanley W. A comparison of signal processing and classification algorithms for detecting the presence of a threatening radiation source. Center for Advanced Signal and Image Sciences (CASIS) Conference, LLNL, November 15-16, 2007.

Johannesson G, Dyer K, Hanley W, Kosovic B, Larson S, Loosemore G, Lundquist J, Mirin A. Sequential Monte-Carlo based framework for dynamic data-driven event reconstruction for atmospheric release. Nonlinear Statistical Signal Processing Workshop: Classical, Unscented and Particle Filtering Methods, University of Cambridge, September 13-15, 2006.

Kosovic B, Sugiyama G, Chow T, Dyer K, Glaser R, Hanley W, Johannesson G, Larsen S, Loosmore G, Lundquist J, Mirin A, Nitao J, Serban R. Dynamic data-driven event reconstruction for atmospheric releases. 8th Annual George Mason University Transport and Dispersion Modeling Conference, July 13-15, 2004.

Slone D, Aufderheide M III, Henderson K, Aines R, Ramirez A, Hanley W, Nitao JA. MCMC approach to transmission tomography from a limited number of views. 5th International Congress on Industrial and Applied Mathematics (ICIAM), Sydney, Australia, July 2003.

Glaser R, Hanley W, Lee C, Nitao J. A Markov Chain-Monte Carlo based method for system identification. IMAC-XXI (International Modal Analysis conference) Conference & Exposition on Structural Dynamics, Miami, FL, February 3-6, 2003.

Newmark R, Carle S, Nitao J, Glaser R, Hanley W, Sengupta S, Ramirez A, Dyer K, Aines R. Stochastic engine: Incorporation of measurements into predictive simulations. URCL-JC 145116. Proceedings, International Groundwater Symposium “Bridging the Gap Between Measurement and Modeling in Heterogeneous Media, Berkeley, CA, March 2002.

Rodgers A, Walter W, Sicherman A, Hanley W. Assessing the value of calibration: regional seismic discrimination, path corrections and multivariate discriminant analysis. LLNL, January 2000.

Rodgers A, Walter W, Sicherman A, Hanley W. Seismic Discrimination of recent Indian and Pakistani nuclear tests with short-period amplitude ratios. SSA Meetings, May 1999.

Hanley W. The multivariate Lorenz Order and Gini Index. The RAND Corporation, February 1998.

Hanley W. Assessing and ranking multivariate variability. The CIA, October 1997.

Hanley W. The Multivariate Lorenz Order and monotonic families. GE R&D Center, September 1997.

• Member, American Statistical Association