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Team Members by Research Area

​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​Team Members by Research Area



Infrastructure and Energy Storage Team Members


 

 

Manish Mohanpurkar, Ph.D.https://bios.inl.gov/Lists/Researcher/DisplayOverrideForm.aspx?ID=32Manish Mohanpurkar, Ph.D.Dr. Mohanpurkar works broadly in the area of power and energy systems. Specific research interests include power systems analysis, probabilistic and steady state analysis, real time digital simulation, hardware-in-the-loop, dynamic and transient analysis, power markets, assimilation of renewable energy, and energy resource planning studies. Past research related to wind energy, hydroelectric power generation, energy storage technologies such as pumped storage hydro, electrolyzers, microgrids, and electric vehicles. He has also published and performed reviews for a number of technical journals and leading conferences. He holds a doctorate in electrical engineering from Colorado State University, a master’s in electrical engineering from Oklahoma State University and a bachelor’s in electrical engineering from Government College of Engineering, Aurangabad, Maharashtra, India. <div class="ExternalClass5AFBDF0256DF4880BC1C5A2471D04ADA"><p>​Ph.D., Electrical Engineering - Colorado State University</p><p>M.S., Electrical Engineering - Oklahoma State University</p><p>B.E., Electrical, Electronics, and Power - Government College of Engineering (Aurangabad, Maharashtra, India)</p></div><div class="ExternalClassDF6D42DECE484E59B3EF50C6A6D0D8C4"><p>E. Muljadi, M. Singh, V. Gevorgian, M. Mohanpurkar, R. Hovsapian, V. Koritarov, “Dynamic Modeling of Adjustable-Speed Pumped Storage Hydropower Plant,” IEEE PES General Meeting, July 2015, pp. 6.</p><p> </p><p>M. Panwar, M. Mohanpurkar, J. D. Osorio, R. Hovsapian, “Significance of Dynamic and Transient Analysis in the Design and Operation of Hybrid Energy Systems,” in Proc. of 9th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human, North Carolina, February 2015, pp. 8.</p><p> </p><p>M. Mohanpurkar, S. Suryanarayanan, “Regression Modeling for Accommodating Unscheduled Flows in Electric Grids,” IEEE Trans. of Power Systems, vol. 29, no. 5, pp. 2569-2570, 2014.</p><p> </p><p>M. Mohanpurkar, S. Suryanarayanan, “Accommodating Unscheduled Flows in Electric Grids Using the Analytical Ridge Regression,” IEEE Trans. on Power Systems, vol. 28, no. 3, pp. 3507–3508, 2013.</p><p> </p><p>M. Mohanpurkar, S. Suryanarayanan, “A Case Study on the Effects of Predicted Wind Farm Power Outputs on Unscheduled Flows in Transmission Networks,” 5th Annual Green Technologies Conf., April 2013, Colorado, pp. 277-284.</p><p> </p><p>M. Mohanpurkar, H. Valdiviezo, and S. Suryanarayanan, “An Application of Geographical Information Systems Technique in the Estimation of Loop Flows in Wide Area Transmission Networks with High Wind Penetration,” 45th Proc. of Frontiers of Power Conf., Oklahoma, October 2012, pp. VI-1 - VI-8.</p><p> </p><p>M. Mohanpurkar, R. G. Ramakumar, “Probability Density Functions for Power Output of Wind Electric Conversion Systems”, IEEE PES General Meeting, Minneapolis, July 2010, pp. 1–7.</p><p> </p><p>M. Mohanpurkar, R. G. Ramakumar, “Probabilistic Assessment of the Output Characteristics of Wind Electric Conversion Systems”, 42nd Proc. of Frontiers of Power Conf., Oklahoma, October 2009, pp. 8.</p></div>Hydrogen and Fuel Cells;Energy Systems Research;Power and Energy Systemshttps://bios.inl.gov/BioPhotos/Manish1-800.jpgPower and Energy Systems Scientist
Kurt Myershttps://bios.inl.gov/Lists/Researcher/DisplayOverrideForm.aspx?ID=100Kurt MyersKurt Myers is a renewable electric and grid integration market area lead, project manager and staff electrical engineer at Idaho National Laboratory. He works on many types of power transmission, distribution and generation technologies including wind, solar, fuel cells/storage, diesel and gas, and many aspects of power control, protection and integration. Other specialties include wind data analysis, wind and solar power feasibility studies, wind and solar farm design and construction projects, micro/island grids, battery/storage systems testing and integration, and research in dynamic transmission rating. He earned his a bachelor’s degree in physics in 1992 from the University of Washington and his master’s in electrical engineering in 1997 from Washington State University. He is also a licensed professional engineer in the State of Idaho. Kurt has co-authored many technical papers, reports, articles and presentations on wind and solar power, electrical engineering, and power systems.<div class="ExternalClass9ABAEE2536994577BC4E69D84CF04303"><p>​M.S., Electrical Engineering - Washington State University</p><p>B.S., Physics - University of Washington</p></div><div class="ExternalClass58E3E2D7BF9E408ABD142FEAED72849A"><div>“A Comparison of Real Time Thermal Rating Systems in the USA and the UK," D. Greenwood, J. Gentle, K. Myers et al., IEEE Transactions on Power Delivery, Volume PP, Issue 99, 13 February 2014, IEEE Power & Energy Society.</div><div><br> </div><div>“Dynamic Line Rating Systems: Research and Policy Evaluation," J. Gentle, K. Myers et al., IEEE PES-2014 General Meeting, 28 July 2014.</div><div><br> </div><div>“Investigation of a Dynamic Line Rating Concept Over Complex Terrain for Improved Wind Energy Integration," J. Gentle, K. Myers et al., ASME 2014 4th Joint US-European Fluids Engineering Division Summer Meeting and 11th International Conference on Nanochannels, Microchannels, and Minichannels, August 2014, Chicago, IL, FEDSM2014-21377.</div><div><br> </div><div>“Overvoltage Mitigation Using Coordinated Control of Demand Response and Grid-tied Photovoltaics,” B. Bhattarai, B. Bak-Jensen, J. Pillai, J. Gentle, K. Myers, in submission review, IEEE SusTech, March 2015.</div><div><br> </div><div>“Field Test Results on INL Test of ZBB Battery for US Navy Hybrid Power System Applications," </div><div>K. Myers, INL report to NAVFAC EXWC and ONR, 2014.</div><div><br> </div></div>Renewable Energy;Power and Energy Systemshttps://bios.inl.gov/BioPhotos/Kurt%20Myers.jpgGroup Lead Business Development Lead - Renewable Energy
Timothy McJunkinhttps://bios.inl.gov/Lists/Researcher/DisplayOverrideForm.aspx?ID=126Timothy 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's Resilient Controls and Instrumentation 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 18 peer review journal articles, a book chapter and 12 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 has served 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>B. P. Bhattarai, J. P. Gentle, T. R. McJunkin, P. J. Hill, K. Myers, A. Abboud, R. Renwick, and D. Hengst, “Improvement of transmission line ampacity utilization by weather-based dynamic line ratings,” IEEE Transactions on Power Delivery, vol. PP, no. 99, pp. 1–1, 2018. [Online]. Available: <a href="http://dx.doi.org/10.1109/TPWRD.2018.2798411">http://dx.doi.org/10.1109/TPWRD.2018.2798411</a></div><div> </div><div> </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: http://scitation.aip.org/content/aip/journal/rsi/85/2/10.1063/ 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: http://ao.osa.org/abstract.cfm?URI=ao-51-7-B155</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: https://www.novapublishers.com/catalog/product 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: http://dx.doi.org/10.1016/ijms.2008.06.011</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: http://www.kist-europe.com/isims/pdf/6/2/IJIMS 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:   http://dx.doi.org/10.1016/S1535-5535(04)00199-6</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: http://dx.doi.org/1016/S1535-5535(04)00255-2</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> <br> </div><div><strong>Selected Conferences</strong></div><div><p>A. Rege, S. Biswas, L. Bai, E. Parker, and T. R. McJunkin, “Using simulators to assess knowledge and behavior of “novice” operators of critical infrastructure under cyberattack events,” in 2017 Resilience Week (RWS), Sept 2017, pp. 50–56. [Online]. Available: <a href="http://dx.doi.org/10.1109/">http://dx.doi.org/10.1109/</a> RWEEK.2017.8088647</p><p> </p><p>A. Rege, E. Parker, and T. McJunkin, “Using a critical infrastructure game to provide realistic observation of the human in the loop by criminal justice students,” in 2017 Resilience Week (RWS), Sept 2017, pp. 154–160. [Online]. Available: <a href="http://dx.doi.org/10.1109/RWEEK.2017.8088665">http://dx.doi.org/10.1109/RWEEK.2017.8088665</a></p><p> </p><p>T. R. McJunkin and C. G. Rieger, “Electricity distribution system resilient control system metrics,” in 2017 Resilience Week (RWS), Sept 2017, pp. 103–112. [Online]. Available: http: //dx.doi.org/10.1109/RWEEK.2017.8088656</p><p> </p><p>W. Parker, B. K. Johnson, C. Rieger, and T. McJunkin, “Identifying critical resiliency of modern distribution systems with open source modeling,” in 2017 Resilience Week (RWS), Sept 2017, pp. 113–118. [Online]. Available: <a href="http://dx.doi.org/10.1109/RWEEK.2017.8088657">http://dx.doi.org/10.1109/RWEEK.2017.8088657</a></p><p> </p><p>W. Zhang, K. Le Blanc, J. P. Gentle, and T. R. McJunkin, “Operators Working with Transmission Flexibility: Enhancing Utility Control Rooms with Dynamic Line Rating Technique,” in Advances in Human Factors and Systems Interaction: Proceedings of the AHFE 2017 International Conference on Human Factors and Systems Interaction, July 17-21, 2017, The Westin Bonaventure Hotel, Los Angeles, California, USA, I. L. Nunes, Ed. Cham: Springer International Publishing, 2018, pp. 3–8. [Online]. Available: <a href="https://doi.org/10.1007/978-3-319-60366-7%e2%9f%a8sub%e2%9f%a91%e2%9f%a8/sub">https://doi.org/10.1007/978-3-319-60366-7⟨sub⟩1⟨/sub</a>⟩</p><p> </p><p>W. Zhang, K. L. L. Blanc, T. R. McJunkin, and J. P. Gentle, “Using Dynamic Line Rating to Enhance Flexibility of Wind-Involved Hybrid Energy System,” in American Nuclear Society General Meeting. San Francisco, California: American Nuclear Society, Jun. 2017.</p><p> </p><p>K. Le Blanc, J. P. Gentle, and T. R. McJunkin, “Utilizing Dynamic Transmission Line Ratings to Enhance Wind Energy: Challenges and Opportunities,” in AWEA Wind Power 2017. Anaheim, Califormina: AWEA, May 2017. [Online]. Available: <a href="http://s23.a2zinc.net/clients/AWEA/WP17/">http://s23.a2zinc.net/clients/AWEA/WP17/</a> Public/SessionDetails.aspx?FromPage=Sessions.aspx&SessionID=282&SessionDateID=10</p><p> </p><p>A. Abboud, B. P. Bhattarai, J. P. Gentle, and T. R. McJunkin, “Using Computational Fluid Dynamics for Predictions of Dynamic Line Ratings in Complex Terrain,” in AWEA Wind Power 2017. Anaheim, California: AWEA, May 2017. [Online]. Available: <a href="http://s23.a2zinc.net/clients/AWEA/WP17/Public/SessionDetails.aspx?FromPage">http://s23.a2zinc.net/clients/AWEA/WP17/Public/SessionDetails.aspx?FromPage</a>= Sessions.aspx&SessionID=282&SessionDateID=10</p><p> </p><p>B. P. Bhattarai, J. P. Gentle, A. Abbourd, and T. R. McJunkin, “Predictions of Dynamic Line Ratings Using Computational Fluid Dynamics Over Large Scale Terrain,” in AWEA Wind Power 2017. Anaheim, Califormina: AWEA, May 2017. [Online]. Available: <a href="http://s23.a2zinc.net/clients/AWEA/WP17/Public/SessionDetails.aspx?FromPage">http://s23.a2zinc.net/clients/AWEA/WP17/Public/SessionDetails.aspx?FromPage</a>= Sessions.aspx&SessionID=283&SessionDateID=10</p><p> </p><p>J. Lehmer, J. P. Gentle, T. R. McJunkin, and C. Meissner, “Optimizing Wind Plant Tie Line - Transmission Line Routing Based On Computational Fluid Dynamics,” in AWEA Wind Power 2017. Anaheim, Califormina: AWEA, May 2017. [Online]. Available: <a href="http://s23.a2zinc.net/clients/AWEA/WP17/Public/SessionDetails.aspx?FromPage">http://s23.a2zinc.net/clients/AWEA/WP17/Public/SessionDetails.aspx?FromPage</a>= Sessions.aspx&SessionID=435&SessionDateID=10</p><p> </p><p>N. Davis, B. K. Johnson, T. R. McJunkin, D. Scoffield, and S. E. White, “Dispatch Control with PEV Charging and Renewables for Multiplayer Game Application,” in IEEE Conference on Technologies for Sustainability, Phoenix, Arizona, Oct. 2016.</p><p> </p><p>F. Chiou, J. P. Gentle, and T. R. McJunkin, “Dispatchable Renewable Energy Model for Microgrid Power System,” in IEEE Conference on Technologies for Sustainability, Oct. 2016.</p><p> </p><p>P. Penkey, M. Alla, B. K. Johnson, and T. R. McJunkin, “Improving transmission system re- silience using an automation controller and Distributed Resources,” in 2016 Resilience Week (RWS), Aug. 2016, pp. 89–94. [Online]. Available: <a href="http://dx.doi.org/10.1109/RWEEK.2016.7573313">http://dx.doi.org/10.1109/RWEEK.2016.7573313</a></p><p> </p><p>A. Abboud, J. P. Gentle, T. R. McJunkin, C. Meissner, R. Renwick, and D. Hengst, “Dynamic Line Ratings and Wind Farm Predictions via Coupled Computational Fluid Dynamics and Weather Data,” Hamburg, Germany, September 27-29, 2016. [Online]. Available: <a href="https://windeurope.org/summit2016/conference/allposters/PO322.pdf">https://windeurope.org/summit2016/conference/allposters/PO322.pdf</a></p><p> </p><p>A. Abboud, J. P. Gentle, T. R. McJunkin, P. Hill, K. Myers, M. Meier, C. Meissner, P. Anderson, and S. Woods, “Dynamic Line Ratings Predicted with Computational Fluid Dynamics Simulations in Complex Terrain,” Hamburg, Germany, September 27-29, 2016. [Online]. Available: <a href="https://windeurope.org/summit2016/conference/submit-an-abstract/pdf/66569812571.pdf">https://windeurope.org/summit2016/conference/submit-an-abstract/pdf/66569812571.pdf</a></p><p> </p><p>J. P. Gentle, K. Myers, P. Hill, J. Bush, A. Abboud, and B. Bhattarai, “Weather-based Dynamic Line Rating and Microgrids with Energy Storage,” Boston, MA, Jul. 2016. [Online]. Available: <a href="http://resourcecenter.ieee-pes.org/product/-/download/partnumber/PESSLI1334">http://resourcecenter.ieee-pes.org/product/-/download/partnumber/PESSLI1334</a></p><p> </p><p>T. R. McJunkin, C. G. Rieger, A. Rege, S. K. Biswas, M. Haney, M. J. Santora, B. K. Johnson, R. L. Boring, D. S. Naidu, and J. F. Gardner, “Multidisciplinary Game-based Approach for Generating Student Enthusiasm for Addressing Critical Infrastructure Challenges,” in 2016 ASEE Annual Conference and Exposition. New Orleans, Louisiana: ASEE Conferences, Jun. 2016. [Online]. Available: <a href="https://peer.asee.org/25763">https://peer.asee.org/25763</a></p><p> </p><p>T. R. McJunkin, C. G. Rieger, B. K. Johnson, D. S. Naidu, L. H. Beaty, J. F. Gardner, I. Ray, K. L. LeBlanc, and M. Guryan, “Interdisciplinary Education through “Edu-tainment” Electric Grid Resilient Control Systems Course,” in 2015 ASEE Annual Conference &amp; Exposition. Seattle, Washington: ASEE Conferences, Jun. 2015. [Online]. Available: <a href="https://peer.asee.org/24349">https://peer.asee.org/24349</a></p><p> </p><p> 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: http://www-pub.iaea.org/iaeameetings/47361/ Workshop-on-Scanning-the-Horizon-Novel-Techniques-and-Methods-for-Safeguards.</p></div><div> </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: http://scitation.aip.org/content/aip/proceeding/aipcp/ 10.1063/1.4865029.</div><div> </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> </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> </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: http://dx.doi.org/10.1109/HSI.2011.5937371.</div><div> </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> </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> </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> </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: http://dx.doi.org/10.1109/ISRCS.2011.6016085.</div><div> </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> </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> </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> </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:  http://dx.doi.org/10.2118/100121-MS.</div><div> </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> </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> </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> </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>Resilience Research Leads;Robotics;Energy Systems Research;Power and Energy Systemshttps://bios.inl.gov/BioPhotos/Tim%20McJunkin%202017.JPGSenior Research and Design Engineer
Randy Bewleyhttps://bios.inl.gov/Lists/Researcher/DisplayOverrideForm.aspx?ID=13Randy BewleyRandy L. Bewley is a battery test engineer at Idaho National Laboratory’s Battery Test Center, providing performance science evaluation of advanced prototype lithium polymer batteries for the United States Advanced Battery Consortium and other projects. He holds an associate of applied science degree in electronics from Idaho State University. Most recently he has served as lab space coordinator for the Systems Integration Lab and principal researcher and lab space coordinator for the Battery Test Center.  He holds one patent developed at INL for the Feedback Enhanced Plasma Spray Tool.<div class="ExternalClass32EB62BFF1F94FD09A7C89E9B4BB5B05"><p>​A.A.S., Electronics - Idaho State University</p></div>Power and Energy Systems;Hydrogen and Fuel Cells;Infrastructure and Energy Storagehttps://bios.inl.gov/BioPhotos/Randy4-800.jpgLab Space Coordinator
Yusheng Luo, Ph.D.https://bios.inl.gov/Lists/Researcher/DisplayOverrideForm.aspx?ID=29Yusheng Luo, Ph.D.<div class="ExternalClass98DD06589D91469089BEAE0D7E65546F"><p>​Ph.D., Mechanical Engineering - Florida State University</p><p>M.E., Electrical Engineering -  Shanghai Jiaotong University</p><p>B.E., Electrical Engineering - Hefei University of Technology</p></div><div class="ExternalClassB06217CE4EC6446C9027B6BFEF64B230"><p>Y. Luo, C. Wang, L. Tan, G. Liao, M. Zhou, D. Cartes, W. Liu, “Application of Generalization Predictive Control for Charging Super Capacitor in Microgrid Power Systems under Input Constraints,” in Proc. IEEE Cyber2015, Shenyang, Liaoning, China, June 2015.</p><p> </p><p>D. Shi, Y. Luo, R. Sharma, “Active Synchronization Control for Microgrid Reconnection after Islanding,” in Proc. IEEE PES Innovative Smart Grid Technologies, Europe, Istanbul, Turkey, October 2014.</p><p><br>Y. Luo, S. Srivastava, M. Andrus, D. Cartes “ Application of disturbance metric in Pulsed Power Load Energy Storage charging impact reduction,” in Proc. IEEE Electric Ship Technology Symposium, Arlington, VA, April 2013. </p><p> </p><p>Y. Luo, M. Andrus, J. Lian, S. Srivastava, D. Cartes “Power Impact Analysis for Pulsed Power Load to the Integrated Power System,” in Proc. ASNE Electric Machines Technology Symposium, Philadelphia, PA, May 2012.</p></div>Hydrogen and Fuel Cells;Power and Energy Systems;Mobility Systems and Analyticshttps://bios.inl.gov/BioPhotos/Yusheng1-800-cropped.jpgPower Systems Scientist
Anudeep Medamhttps://bios.inl.gov/Lists/Researcher/DisplayOverrideForm.aspx?ID=249Anudeep MedamAnudeep Medam is a power and energy systems research engineer for Idaho National Laboratory. Since coming to the lab in 2015, his R&D focus has been on modeling power systems, system integration, co-simulation, and Hardware-in-the-Loop (HIL) testing. He has performed projects for the Vehicle Technological Office (VTO) and the Fuel Cell Technological Office (FCTO) while also collaborating with different groups within INL, other national labs and industry partners. He holds a master’s in electrical engineering from Arizona State University and a bachelor’s in electrical and electronics engineering from BNM Institute of Technology, Visvesvaraya Technological University, Bangalore, India. <div class="ExternalClassE2078A838EDD413C857DB5CDE0234BB4"><p>​M.S., Electrical Engineering - Arizona State University</p><p>B.E., Electrical and Electronics Engineering - BNM Institute of Technology, <font size="3">Visvesvaraya Technological </font></p><font size="3"><p>University </p></font></div><div class="ExternalClass6B1074F54192498AB3EA303A9860154B"><p>​Zonggen Yi, Don Scoffield, John Smart, Andrew Meintz, Myungsoo Jun, Manish Mohanpurkar, Anudeep Medam, “A highly efficient control framework for centralized residential charging coordination of large electric vehicle populations”, International Journal of Electrical Power & Energy Systems, Vol 117, May 2020.</p><p><br>Fernando Dias, Manish Mohanpurkar, Anudeep Medam, Don Scoffield and Rob Hovsapian, “Impact of controlled and uncontrolled charging of electrical vehicles on a residential distribution grid”, 2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), Boise.</p><p><br>Yusheng Luo, Min Xian, Manish Mohanpurkar, Bishnu Bhattarai, Anudeep Medam, Rahul Kadavil and Rob Hovsapian, “Optimal Scheduling of Electrolyzer in Power Market with Dynamic Prices”, 2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), Boise.</p><p><br>Manish Mohanpurkar, Yusheng Luo, Anudeep Medam and Rob Hovsapian, “Real-time Modeling and Testing of Microgrid Management System for the Blue Lake Rancheria - Performance Assurance Report” for US Department of Energy (DOE).</p><p><br>Anudeep Medam, Paresh Nadig and Amarnath Mudradi, “Optimization Design of Tower Solar Power Generation Heliostat”, 2011 National Symposium on Instrumentation (NSI-35), Indian Institute of Science (IISc), Bangalore</p></div>Energy Systems Research;Power and Energy Systemshttps://bios.inl.gov/BioPhotos/Anudeep%20Medam.JPG<div class="ExternalClass8BEBE321E03542D48DE51DB1681B56BE"><p><a href="https://www.linkedin.com/in/anudeepm">​LinkedIn</a></p></div>Power and Energy Systems Research Engineer
Humberto Garcia, Ph.D.https://bios.inl.gov/Lists/Researcher/DisplayOverrideForm.aspx?ID=116Humberto 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 Systemshttps://bios.inl.gov/BioPhotos/Humberto%20Garcia.jpgGroup Lead, Dynamic Systems Integration Senior Researcher, ICIS
Jason Bushhttps://bios.inl.gov/Lists/Researcher/DisplayOverrideForm.aspx?ID=98Jason BushJason Bush is a Cyber Security & Electrical Engineer in the Idaho National Laboratory’s Energy & Environment Science and Technology Directorate. His research interests include DOD risk management framework (RMF), microgrids, renewable energy, and power engineering/analysis. He is currently researching high-penetration renewable power integration on an inverter-based microgrid demonstration system as well as a portable microgrid trailer-based system. He performs resource assessments on energy systems, including installation and maintenance of data gathering from equipment including electrical meters, anemometers, and solar systems. Jason protects DOD personnel from danger by performing short circuit, coordination, and arc flash studies for numerous military locations. His engineering support for DOD also includes trips to the Middle East, (Jordan, Kuwait & Qatar) where he is part of a US Army Central (USARCENT) team that works to improve living conditions for US troops. He also currently provides cyber security support and RMF project management for DoD projects. He served six years in the US Air Force and afterwards graduated from college with a BS degree in Computer Science.<div class="ExternalClassE5B9703BF8AF4102B3D024803654ED69"><p>​B.S., Computer Science - Dickinson State University</p></div>Renewable Energy;Power and Energy Systemshttps://bios.inl.gov/BioPhotos/Jason%20Bush.jpgRenewable Energy Analyst
Robert Turkhttps://bios.inl.gov/Lists/Researcher/DisplayOverrideForm.aspx?ID=289Robert TurkRobert J. Turk is a systems engineer with more than 30 years of experience at Idaho National Laboratory. He is internationally recognized as a subject matter expert in renewable energy systems and provides assistance to DOD, DOE, corporate and private industry. He has provided a technical systematic approach to manage and direct $150 million annually investment in renewable energy and conservation projects and provided assistance and guidance for energy projects on military bases internationally. He holds a master’s in systems engineering from University of Idaho and a bachelor’s in civil engineering from Montana State University. <div class="ExternalClass936A8EE667D64DF7B381EEDD595A2106"><p>​M.E., Systems Engineering - University of Idaho</p><p>B.S., Civil Engineering - Montana State University</p></div><div class="ExternalClassA631D844A40B467295D99ABEB38DB3E2"><p>​International Council of Systems Engineers Cerification Advisory Board</p><p>Society of Risk Analysis</p><p>Eastern Idaho Engineering Council</p></div>Renewable Energy;Power and Energy Systemshttps://bios.inl.gov/BioPhotos/Blank%20photo.pngSenior Systems Engineer

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