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High Temperature Test Laboratory Team Members




Timothy McJunkin McJunkinTimothy McJunkin is an electrical engineer at the Idaho National Laboratory (since 1999) with research and development interest resilient control of critical infrastructure, Smart Grid for renewable energy integration, robotics and automation, intelligent systems, and acoustic based non-destructive examination. He is a senior researcher for the INL distinctive signature in Instrumentation Control and Intelligent Systems. He led the nondestructive examination development and was a key contributor in the robotic system development for the Yucca Mountain Waste Package Closure System. His record of achievement includes 16 peer review journal articles, a book chapter and 11 patents on topics of computer systems, analytical chemistry instrument systems, industrial automation, Smart Grid, and nondestructive examination. Prior to joining INL, he was with Compaq Computer Corporation’s Industry Standard Server Group (1994-1999) leading board level motherboard design of multiple server products. He holds a Master of Science in electrical and computer engineering from Utah State University and is pursuing his Ph.D. in the University of Idaho’s Electrical Engineering Department. At Utah State he was awarded a Rocky Mountain NASA Space Grant Consortium fellowship for his work on autonomous planetary vehicles. He serves as an adjunct professor for Idaho State University Electrical Engineering department.<div class="ExternalClassEE3DEFD2250E4E1890161873E630B072"><p>​M.S., Electrical and Computer Engineering - Utah State University</p><p>B.S., Electrical Engineering - Utah State University</p></div><div class="ExternalClass9807DFF4723B496583D1994B19C5D3F7"><p>​Institute for Electrical and Electronic Engineers</p><p>American Nuclear Society</p><p>Tau Beta Pi</p><p>Phi Kappa Phi</p></div><div class="ExternalClass30B1ECB96794424989FB62A39830BC27"><div><strong>​Journals</strong></div><div>T. R. McJunkin, T. L. Trowbridge, K. E. Wright, and J. R. Scott, “Integrated fiducial sample mount and software for correlated microscopy,” Review of Scientific Instruments, vol. 85, no. 2, pp. –, 2014. [Online]. Available: 1.4862935</div><div><br> </div><div>J. J. Hatch, T. R. McJunkin, C. Hanson, and J. R. Scott, “Automated interpretation of libs spectra using a fuzzy logic inference engine,” Appl. Opt., vol. 51, no. 7, pp. B155–B164, Mar 2012. [Online]. Available:</div><div><br> </div><div>C. I. Nichol, D. P. Pace, E. D. Larsen, T. R. McJunkin, D. E. Clark, M. L. Clark, K. L. Skinner, A. D. Watkins, and H. B. Smartt, “Yucca mountain waste package closure system robotic welding and inspection system,” Nuclear Technology, vol. 176, no. 1, pp. 138–146, October 2011.</div><div><br> </div><div>T. R. McJunkin and J. R. Scott, Fuzzy Logic: Theory, Programming and Applications. Nova Science, 2009, ch. Application of Fuzzy Logic for Automated Interpretation of Mass Spectra, pp. 85–114. [Online]. Available: info.php? products id=7652</div><div><br> </div><div>H. Lai., T. R. McJunkin, C. J. Miller, J. R. Scott, and J. R. Almirall, “The predictive power of simion/sds simulation software for modeling ion mobility spectrometry instruments,” International Journal Of Mass Spectrometry, vol. 276, no. 1, pp. 1–8, 2008. [Online]. Available:</div><div><br> </div><div>T. R. McJunkin and J. R. Scott, “Fuzzy logic classification of imaging laser desorption fourier transform mass spectrometry data,” Journal of the Idaho Academy of Science, vol. 44, no. 1, pp. 1–18, June 2008.</div><div><br> </div><div>C. D. Richardson, N. W. Hinman, T. R. McJunkin, J. M. Kotler, and J. R. Scott, “Exploring biosignatures associated with thenardite by geomatrix-assisted laser desorption/ionization fourier transform ion cyclotron resonance mass spectrometry (galdi-fticr-ms),” Geomicrobiology Journal, vol. 25, no. 7-8, pp. 432–440, 2008.</div><div><br> </div><div>C. R. Tolle, T. R. McJunkin, and D. J. Gorsich, “An efficient implementation of the gliding box lacunarity algorithm,” Physica D-Nonlinear Phenomena, vol. 237, no. 3, pp. 306–315, MAR 2008.</div><div><br> </div><div>D. A. Dahl, T. R. McJunkin, and J. R. Scott, “Comparison of ion trajectories in vacuum and viscous environments using simion: Insights for instrument design,” International Journal of Mass Spectrometry, vol. 266, no. 1-3, pp. 156–165, OCT 1 2007.</div><div><br> </div><div>B. Yan, T. R. McJunkin, D. L. Stoner, and J. R. Scott, “Validation of fuzzy logic method for automated mass spectral classification for mineral imaging,” Applied Surface Science, vol. 253, no. 4, pp. 2011–2017, DEC 15 2006.</div><div><br> </div><div>T. R. Wood, R. J. Glass, T. R. McJunkin, R. K. Podgorney, R. A. Laviolette, K. S. Noah, D. L. Stoner, R. C. Starr, and K. Baker, “Unsaturated flow through a small fracture-matrix network: Part 1. experimental observations,” Vadose Zone Journal, vol. 3, no. 1, pp. 90–100, FEB 2004.</div><div><br> </div><div>R. A. LaViolette, T. R. Wood, T. R. McJunkin, K. S. Noah, R. K. Podgorney, R. C. Starr, D. L. Stoner, and R. J. Glass, “Convergent flow observed in a laboratory-scale unsaturated fracture system,” Geophysical Research Letters, vol. 30, no. 2, p. 1083, JAN 29 2003.</div><div><br> </div><div>T. R. McJunkin, J. R. Scott, and C. J. Miller, “Toward an intelligent ion mobility spectrometer (ims),” International Journal for Ion Mobility Spectrometry, vol. 6, no. 2, pp. 31–39, 2003. [Online]. Available: 6 2003 2.pdf</div><div><br> </div><div>T. R. McJunkin, P. L. . Tremblay, and J. R. Scott, “Automation and control of an imaging internal laser desorption Fourier transform mass spectrometer (I2LD-FTMS),” Journal of the Association  of  Laboratory  Automation,  vol.  7,  no.  3,  pp.  76–83,  June/July  2002.  [Online]. Available:</div><div><br> </div><div>D. L. Stoner, R. D. Stedtfeld, T. L. Tyler, F. J. White, T. R. McJunkin, and R. A. LaViolette, “Impact of microorganisms on unsaturated flow at fracture intersections,” Geophysical Research Letter, vol. 30, no. 18, p. 1960, SEP 26 2003.</div><div><br> </div><div>C. R. Tolle, T. R. McJunkin, and D. J. Gorsich, “Suboptimal minimum cluster volume cover- based method for measuring fractal dimension,” Pattern Analysis and  Machine  Intelligence, IEEE Transactions on, vol. 25, no. 1, pp. 32 – 41, 2003.</div><div><br> </div><div>C. R. Tolle, T. R. McJunkin, D. T. Rohrbaugh, and R. A. LaViolette, “Lacunarity definition for ramified data sets based on optimal cover,” Physica D-Nonlinear Phenomena, vol. 179, no. 3-4, pp. 129–152, MAY 15 2003.</div><div><br> </div><div>T. R. McJunkin, P. L. . Tremblay, and J. R. Scott, “Automated analysis of mass spectral data using fuzzy logic classification,” Journal of the Association of Laboratory Automation, vol. 8,  no. 3, pp. 61–63, April 2003. [Online]. Available:</div><div><br> </div><div>J. J. Hatch, T. R. McJunkin, and J. R. Scott, “Automated interpretation of libs spectra using fuzzy logic inference,” in North American Symposium on Laser Induced Breakdown Spectroscopy (NASLIBS 2011), Clearwater Beach, Florida, July 2011.</div><div><br> </div><div><br> </div><div><br> </div><div><strong>Selected Conferences</strong></div><div>T.   R.   McJunkin,    M.    O.    Anderson,    and    M.    Schanfein,    “Automated    abstrac- tion   of   digital   images,”   in   Workshop   on    Scanning    the    Horizon:    Novel    Tech- niques  and  Methods  for  Safeguards.  Vienna,  Austria:  International   Atomic   Engergy Agency, January 2014. [Online]. Available: Workshop-on-Scanning-the-Horizon-Novel-Techniques-and-Methods-for-Safeguards.</div><div><br> </div><div>T. R. McJunkin, D. C. Kunerth, C. I. Nichol, E. Todorov, and S. Levesque, “Towards real time diagnostics of hybrid welding laser/gmaw,” AIP Conference Proceedings, vol. 1581, no. 1, pp. 1709–1715, 2014. [Online]. Available: 10.1063/1.4865029.</div><div><br> </div><div>F. Yu, T. R. McJunkin, and D. C. Kunerth, “NDE methods for monitoring and control of welding processes,” in Review of Progress in Quantitative NDE. Denver, Colorado: Center for Nondestructive Evaluation, July 2012.</div><div><br> </div><div>T. R. McJunkin, D. E. Clark, and D. C. Kunerth, “Advanced manufacturing concepts using hybrid laser welding,” in American Nuclear Society Annual Meeting. Chicago, Illinois: American Nuclear Society, June 2012.</div><div><br> </div><div>T. R. McJunkin and M. Manic, “Evolutionary adaptive  discovery  of  phased  array  sensor signal identification,” in Human System Interactions (HSI), 2011 4th International Conference on, May 2011, pp. 229 –236. [Online]. Available:</div><div><br> </div><div>J. J. Hatch, T. R. McJunkin, and J. R. Scott, “Automated interpretation of libs spectra using fuzzy logic inference,” in North American Symposium on Laser Induced Breakdown Spectroscopy (NASLIBS 2011), Clearwater Beach, Florida, July 2011.</div><div><br> </div><div>J. R. Scott, A. J. Effenberger, and T. R. McJunkin, “Economical high-resolution detection method for laser-induced breakdown spectroscopy (libs),”  in North  American  Symposium  on Laser Induced Breakdown Spectroscopy (NASLIBS 2011), Clearwater Beach, Florida, July 2011.</div><div><br> </div><div>T. R. McJunkin, R. Boring, M. McQueen, L. Shunn, J. Wright, D. Gertman, O. Linda, K. Mc- Carty, and M. Manic, “Concept of operations for data fusion visualization,” in European Safety and Reliability (ESREL), C. Berenguer, A. Grall, and C. G. Soares, Eds. CRC Press, 2011, iSBN-10: 0415683793 — ISBN-13: 978-0415683791.</div><div><br> </div><div>O. Linda, M. Manic, and T. R. McJunkin, “Anomaly detection for resilient  control systems using fuzzy-neural data fusion engine,” in Resilient  Control  Systems  (ISRCS), 2011 4th International Symposium on, aug. 2011, pp. 35 –41. [Online]. Available:</div><div><br> </div><div>J. R. Scott, D. D. Dahl, and T. R. McJunkin, “FT-ICR-MS cell with linear excita- tion/detection and no net magnetron motion,” in 235th American-Chemical-Society National Meeting, vol. 235.   , New Orleans, LA: Amer Chem Soc, April 06-10 2008.</div><div><br> </div><div>J. R. Scott, J. M. Kotler, C. D. Richardson, N. W. Hinman, and T. R. McJunkin, “GALDI- FTMS as a technique for detecting bioorganic signatures associated with minerals,” in 235th American-Chemical-Society National Meeting, vol. 235. , New Orleans, LA: Amer Chem Soc, April 06-10 2008.</div><div><br> </div><div>K. S. Miller, C. R. Tolle, D. E. Clark, C. I. Nichol, T. R. McJunkin, and H. B. Smartt, “Investigation into interface lifting within FSW lap welds,” in Proceedings of the 8th International Confereence Trends in Welding Research, S. A. David, T. DebRoy, J. N. DuPont, T. Koecki, and H. B. Smartt, Eds., 2008, pp. 133–139.</div><div><br> </div><div>T. R. McJunkin, K. S. Miller, and C. R. Tolle, “Observations on characterization of defects in coiled tubing from magnetic-flux-leakage data,” in SPE/ICoTA Coiled Tubing Conference & Exhibition, 4-5 April 2006, The Woodlands, Texas, USA, The Woodlands, Texas, USA, 2006. [Online].  Available:</div><div><br> </div><div>T. R. McJunkin, J. M. Davis, D. C. Kunerth, and A. D. Watkins, “Ultrasonic phased array implementation of the inside diameter creeping wave sizing methodology,” in 5th International Conference on NDE in Relation to Structural Integrity for Nuclear and Pressurized Components, San Diego, California, May 2006, pp. 929–942.</div><div><br> </div><div>B. Yan, T. R. McJunkin, D. L. Stoner, and J. R. Scott, “Mineral identification in basalts using automated mass spectral data analysis,” in 15th Annual V M Goldschmidt Conference, vol. 69, no. 10, S, Moscow, Idaho, MAY 2005, p. A797.</div><div><br> </div><div>J. R. Scott, T. R. McJunkin, and P. L. Tremblay, “Classification of mass spectra using fuzzy logic inference engine.” in 225th National Meeting of the American-Chemical-Society, vol. 225. New Orleans, Louisiana: Amer Chem Soc, March 2003, pp. 078–CINF.</div><div><br> </div><div>J. R. Scott, P. L. Tremblay, and T. R. McJunkin, “Interrogating microbe/mineral interactions and contaminant speciation using laser-based optical and chemical imager (LOCI).” in 226th National Meeting of the American-Chemical-Society, vol. 226, no. Part 1. New York, NY: Amer Chem Soc, SEP 2003, pp. 125–GEOC.</div><div><br> </div></div>Resilience Research Leads;Robotics;Energy Systems Research;Power and Energy Systems Research and Design Engineer
Humberto Garcia, Ph.D. Garcia, Ph.D.Dr. Humberto Garcia graduated with a master’s and Ph.D. in electrical and computer engineering, with a minor in mechanical engineering, from Pennsylvania State University. He is currently a group lead in dynamic systems integration, optimization, and resilient controls at INL, with extensive experience in advanced systems methods and applications for the optimal design, integration, and operation of complex dynamical systems. His interests include sensor and control networks; resilient energy grids, microgrids, and clusters; resiliency, survivability, and recovery; small/big analytics; health monitoring, diagnostics, and prognostics; embedded computational intelligence; smart, networked components and systems; advanced manufacturing and sustainable energy integration; energy conversion and sustainability; operations research and continuous process improvement; control system security; critical infrastructure protection; nuclear technologies and systems; nuclear non-proliferation and counter-proliferation technologies; classified applications; process-infrastructure integrated capabilities; and hardware-in-the-loop and engineering-scale demonstrations. Dr. Garcia has authored over one hundred peer-reviewed publications and three patents. In 2015, he received a certificate in High Performance Leadership from the Booth School of Business at the University of Chicago. As a senior researcher in Instrumentation, Controls and Intelligent Systems, he leads the development and demonstration of systems theories and applications, with particular emphasis in resilient cyber-physical systems. His awards include IEEE Senior Member, IEEE Region 6 Director's Special Award: Resilient Cyber-Physical Systems, and the INL Outstanding Excellence in Publication Award, in addition to numerous exceptional program contribution awards.<div class="ExternalClass3C96876B0ED045F99E8EF9299652CB90"><p>​Ph.D., Electrical & Computer Engineering - Pennsylvania State University</p><p>M.S., Electrical & Computer Engineering - Pennsylvania State University</p><p>B.S., Electrical Engineer, Automatic Systems, Power Systems - Universidad de Carabobo</p></div><div class="ExternalClass1B117985B615427DBBD9ACF4C088E452"><p>​Systems theories and applications; systems modeling, simulation (M&S), control, and optimization; mission-driven resiliency, survivability, reconfiguration, mitigation, and recovery; small/big analytics; anomaly detection, diagnostic, and prognostic; control systems security; dynamic energy systems management; resilient energy grids and clusters; predictive condition monitoring and control; embedded computational intelligence; smart components/systems; threat protection and reduction; sensor and interdiction networks; nuclear non- and counter-proliferation; decentralized systems; operations optimization and supervision; Hardware-in-the-Loop (HiL) and engineering-scale demonstrations.</p></div><div class="ExternalClass9991B7B5DC19426195D78D864A67856A"><p><font face="Times New Roman" size="3"><font face="Times New Roman" size="3">ANS</font></font></p><p><font face="Times New Roman" size="3"><font face="Times New Roman" size="3">INMM</font></font></p><p><font face="Times New Roman" size="3"><font face="Times New Roman" size="3">IEEE</font></font></p><p><font face="Times New Roman" size="3"><font face="Times New Roman" size="3">Tau Beta Pi</font></font></p><p><font face="Times New Roman" size="3"><font face="Times New Roman" size="3">ASME</font></font></p><p><font face="Times New Roman" size="3"><font face="Times New Roman" size="3">SIAM</font></font></p></div><div class="ExternalClassE3DF3FF597A24D618CFA55A139098086"><p><strong>Key Technical Reports</strong></p><p>H.E. Garcia, J. Chen, J.S. Kim, et al. (2015). “Nuclear Hybrid Energy Systems – Regional Studies: West Texas & Northeastern Arizona”, Idaho National Laboratory, Advanced Reactor Technologies, INL/EXT-15-34503.</p><p>H.E. Garcia (2015). “Methodology for Sensor Systems Optimization and Multi-source Data Integration: Final Report”, Idaho National Laboratory, National Nuclear Security Administration, NA-22 Report.</p><p>H.E. Garcia, R.B. Carlson, J.V. Hugo, E.D. Larsen, T.R. McJunkin (2013). “Preliminary Conceptual Design of the HES HiL Control Room.” Idaho National Laboratory, INL/LTD-13-30304.</p><p>H.E. Garcia, et al. (2012). “Description of Prototype Simulation Platform”, Idaho National Laboratory, National Nuclear Security Administration, NA-22 Report.</p><p>O. Berg, J. Eiler, H.E. Garcia, et al. (2007). “On-line Monitoring for Improving Performance of Nuclear Power Plants, Part 2: Process and Component Condition Monitoring and Diagnostics”, IAEA Nuclear Energy Series, International Atomic </p><p>Energy Agency, No. NP-T-1.2.</p><p>H.E. Garcia, et al. (2003). “MEDEC Treatment of FERMI-1 Sodium-Bonded Blanket Fuel in preparation for Final Geologic Disposal”, Argonne National Laboratory, ANL/F3640-1300-ES-00.</p><p>H.E. Garcia, et al. (1999). “Analysis of Spent Fuel Treatment Demonstration Operations”, Argonne National Laboratory, Nuclear Technology, ANL-NT-108.</p><p>R.W. Benedict, H.E. Garcia, et al. (1999). “Spent Fuel Treatment Demonstration Final Report”, Argonne National Laboratory, Nuclear Technology, ANL-NT-106.</p><p>R.W. Benedict, H.E. Garcia, et al. (1998). “Spent Fuel Treatment Demonstration Interim Status Report”, Argonne National Laboratory, Nuclear Technology, ANL-NT-74.</p><p>H.E. Garcia (1997). “SPF Modeling and RV Sodium, Water, and Caustic Flow Algorithms”, Argonne National Laboratory, ANL/ED/97-2Y.</p><p>R.B. Vilim, H.E. Garcia (1997). “Modeling Uncertain Systems Using Process Data and First Principles Knowledge”, Argonne National Laboratory, Nuclear Technology, ANL-NT-34.</p><p> </p><p><strong>Journals</strong></p><p>H.E. Garcia, S.M. Meerkov, M.T. Ravichandran (2015). “Resilient plant monitoring systems: Techniques, Analysis, Design, and Performance Evaluation,” Journal of Process Control, Vol. 32, pp. 51-63.</p><p>H.E. Garcia, W.-C. Lin, S.M. Meerkov, M.T. Ravichandran (2014). “Resilient monitoring systems: Architecture, design, and application to boiler/turbine plant,” IEEE Transactions on Cybernetics, Vol. 44, No. 11, pp. 2010-2024.</p><p>W.-C. Lin, K. Villez, H.E. Garcia. (2014). “Experimental validation of a resilient monitoring and control system,” Journal of Process Control, Vol. 24, Issue 5, pp. 621-639.</p><p>H.E. Garcia, A. Mohanty, W.-C. Lin, R.S. Cherry (2013). ``Dynamic Analysis of Hybrid Energy Systems under Flexible Operations and Variable Renewable Generations--Part I: Dynamic Performance Analysis,'' Energy, vol. 52, pp. 1-16.</p><p>H.E. Garcia, A. Mohanty, W.-C. Lin, R.S. Cherry (2013). ``Dynamic Analysis of Hybrid Energy Systems under Flexible Operations and Variable Renewable Generations--Part II: Dynamic Cost Analysis,'' Energy, vol. 52, pp. 17--26.</p><p>W.-C. Lin, H.E. Garcia, T.-S. Yoo (2013). “A Diagnoser Algorithm for Anomaly Detection in DEDS under Partial Unreliable Observations: Characterization and Inclusion in Sensor Configuration,” Journal of Discrete Event Dynamical Systems, </p><p>Vol. 23, Issue 1, pp. 61-91.</p><p>H.E. Garcia, T.L. Burr, et al. (2012). “Integration of Facility Modeling Capabilities for Nuclear Nonproliferation Analysis,” Progress in Nuclear Energy, Vol. 54, Issue 1, pp. 96-111.</p><p>W.-C. Lin, H. E. Garcia, T. Yoo. (2012). “A Diagnoser Algorithm for Anomaly Detection in Discrete-Event Dynamical Systems under Partial Unreliable Observations,” Journal of Discrete-Event Dynamical Systems: Theory and Applications. Vol. </p><p>23, No.1, pp. 61-91, 2012.</p><p>T.L. Burr, H.E. Garcia, et al. (2012). "Roles for process monitoring in nuclear safeguards at aqueous reprocessing plants. Journal of Nuclear Material Management, Vol. 40, pp. 42–53.</p><p>T. Bjornard, H.E. Garcia, W. Desmond, S. Demuth (2010). “Safeguarding and Protecting the Nuclear Fuel Cycle,” Nuclear News. pp. 76-80.</p><p>T. Yoo, H.E. Garcia (2009). “Event counting of partially-observed discrete-event systems with uniformly and nonuniformly bounded diagnosis delays,” Journal of Discrete-Event Dynamic Systems.(2009) 19:167-187, ISSN: 0924-6703.</p><p>T. Yoo, H.E. Garcia (2008). “Diagnosis of behaviors of interest in partially-observed discrete-event systems,” Journal of Systems & Control Letters, Vol. 57, Issue 12, pp. 1023-1029.</p><p>H.E. Garcia, T. Yoo (2005). “Model-based detection of routing events in discrete flow networks,” Automatica, Vol. 41, No. 4, pp. 583-594.</p><p>H.E. Garcia, R. Vilim (2003). “Integrating Physical Modeling, Neural Computing, and Statistical Analysis for Online Process Monitoring,” Nuclear Technology, Vol. 141, No. 2, pp. 69-77.</p><p>S. Jiang, R. Kumar, H.E. Garcia (2003). “Optimal Sensor Selection for Discrete-Event Systems with Partial Observation,” IEEE Transactions on Automatic Control, Vol. 48, No. 3, pp. 369-381.</p><p>S. Jiang, R. Kumar, H.E. Garcia (2003). “Diagnosis of Repeated/Intermittent Failures in Discrete-Event Systems,” IEEE Transactions on Robotics & Automation, Vol. 19, No. 2, pp. 310-323.</p><p>H.E. Garcia (2002). “Proliferation Resistance of Advanced Sustainable Nuclear Fuel Cycles,” Nuclear Plant Journal, Vol. 20, No. 1, pp. 18-25.</p><p>R. Vilim, H.E. Garcia, F. Chen (2001). “An Identification Scheme Combining First Principle Knowledge, Neural Networks, and Likelihood Ratio Test,” IEEE Transactions on Control Systems Technology, Vol. 9, No. 1, pp. 186-199.</p><p>H.E. Garcia (2000). "Operational analysis and improvement of a spent nuclear fuel handling and treatment facility using discrete event simulation." Computers & Industrial Engineering, Vol. 38, No.2, pp. 235-249.</p><p>H.E. Garcia (1998). “Modeling and Control of a Sodium Conversion Process Applied to Nuclear Decommissioning Activities,” Nuclear Technology, Vol. 123, No. 2, pp. 166-183.</p><p>H. E. Garcia, A. Houshyar (1998). “Discrete event simulation of fuel transfer strategies for defueling a nuclear reactor,” Simulation, Vol. 70, No. 2, pp. 104-118.</p><p>H.E. Garcia (1997). “A Hierarchical Platform for Implementing Hybrid Systems in Process Control,” Control Engineering Practice, Vol. 5, No. 6, pp. 779-789.</p><p>R. Vilim, H.E. Garcia (1997). “Hierarchical Control of Reactor Inlet Temperature in Pool-Type Plants, Part I: Physics of Control,” Nuclear Science & Engineering, Vol.125, No. 3, pp. 324-336.</p><p>H.E. Garcia, R. Vilim, E.M. Dean (1997). “Hierarchical Control of Reactor Inlet Temperature in Pool-Type Plants, Part II: Implementation and Results,” Nuclear Science & Engineering, Vol. 125,<br>No. 3, pp. 337-347.</p><p>H.E. Garcia, A. Ray (1996). “State-Space Supervisory Control of Reconfigurable Discrete-Event Systems,” International Journal of Control, Vol. 63, No. 4, pp. 767-797.</p><p>H.E. Garcia, A. Ray, R.M. Edwards (1995). “A Reconfigurable Hybrid System and Its Application to Power Plant Control,” IEEE Transactions on Control Systems Technolo., Vol. 3, No. 2, pp. 157-170.</p><p>R.M. Edwards, H.E. Garcia, K. Y. Lee (1992). "Experimental Development of Power Reactor Intelligent Control," Transactions of the American Nuclear Society, Vol. 66, pp. 373-374.</p><p>R.M. Edwards, J. A. Turso, K. Y. Lee, H.E. Garcia, A. Ray (1992). "The Penn State Intelligent Distributed Control Research Laboratory," IEEE Trans. on Energy Conversion, Vol. 7, pp. 478-482.</p><p>H.E. Garcia, A. Ray, R.M. Edwards (1991). "Reconfigurable Control of Power Plants Using Learning Automata," IEEE Control System Magazine, Vol. 11, No. 1, pp. 85-92.</p></div>Advanced Safeguards;Intelligent Monitoring and Decision Systems Laboratory;Resilience Research Leads;Energy Systems Research;Power and Energy Systems Lead, Dynamic Systems Integration Senior Researcher, ICIS
Victor G. Walker G. WalkerVictor G. Walker specializes in artificial intelligence and adaptive control systems research. He has extensive experience working in industry with software and process automation in the United States and Scandinavia. He holds a master’s degree in computer science from National Technology University. He has worked on intelligent automation of mobile and adaptive robotic systems and continues to pursue research in resilient control system design and interaction methodologies. As principal investigator for the Idaho National Laboratory’s Bioenergy Feedstock Library, he has led efforts to create a web-based application for collecting, tracking, and analyzing biomass feedstocks for energy use. In robotics research and development, he helped develop technology after the nuclear accident in Fukushima and traveled to Japan to train response teams on the robotic system from the Department of Energy. He has a continual focus on leadership and mentoring and was recognized in 2010 and 2011 with the INL Laboratory Director’s Award.<div class="ExternalClassBD538DB0AA064CC397135506F4A4F705"><p>​M.S., Computer Science - National Technology University</p><p>B.S., Computer Science - Brigham Young University</p></div>Robotics;Resilience Research Leads;Bioenergy Analysis;Bioenergy Technologies Engineer
Craig Rieger, Ph.D. Rieger, Ph.D.Craig Rieger, PhD, PE, is the Chief Control Systems Research Engineer at the Idaho National Laboratory (INL), pioneering multidisciplinary research in the area of next generation resilient control systems. In addition, he has organized and chaired nine Institute of Electrical and Electronics Engineers (IEEE) technically co-sponsored symposia and one National Science Foundation workshop in this new research area, and authored more than 40 peer-reviewed publications. Craig received B.S. and M.S. degrees in Chemical Engineering from Montana State University in 1983 and 1985, respectively, and a PhD in Engineering and Applied Science from Idaho State University in 2008. Craig’s PhD coursework and dissertation focused on measurements and control, with specific application to intelligent, supervisory ventilation controls for critical infrastructure. Craig is a senior member of IEEE, and has 20 years of software and hardware design experience for process control system upgrades and new installations. Craig has also been a supervisor and technical lead for control systems engineering groups having design, configuration management, and security responsibilities for several INL nuclear facilities and various control system architectures. Control System Security;Resilience Research Leads
Ron Boring, Ph.D. Boring, Ph.D.Dr. Ronald Laurids Boring is a principal human factors scientist at Idaho National Laboratory, where he is researcher and principal investigator. He previously worked as a human reliability researcher at Sandia National Laboratories, and a usability engineer for Microsoft Corporation and Expedia Corporation. Boring has a bachelor’s in psychology and German from the University of Montana, a master’s in human factors and experimental psychology from New Mexico State University and a Ph.D. in cognitive science from Carleton University. He was a Fulbright Academic Scholar to the University of Heidelberg, Germany. He has published over 110 research articles in a wide variety of human reliability, human factors and human-computer interaction forums. Resilience Research Leads