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Researcher

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Timothy McJunkin

Senior Research and Design Engineer

Research Areas:
Resilience Research Leads; Robotics; Energy Systems Research; Power and Energy Systems

Biography:
Timothy 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.

Education:

​M.S., Electrical and Computer Engineering - Utah State University

B.S., Electrical Engineering - Utah State University

Affiliations:

​Institute for Electrical and Electronic Engineers

American Nuclear Society

Tau Beta Pi

Phi Kappa Phi

Publications:
​Journals
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: http://dx.doi.org/10.1109/TPWRD.2018.2798411
 
 
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

 
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

 
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.

 
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

 
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

 
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.

 
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.

 
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.

 
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.

 
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.

 
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.

 
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.

 
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

 
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

 
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.

 
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.

 
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.

 
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

 
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.

 
 
Selected Conferences

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: http://dx.doi.org/10.1109/ RWEEK.2017.8088647

 

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: http://dx.doi.org/10.1109/RWEEK.2017.8088665

 

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

 

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: http://dx.doi.org/10.1109/RWEEK.2017.8088657

 

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: https://doi.org/10.1007/978-3-319-60366-7⟨sub⟩1⟨/sub

 

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.

 

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: http://s23.a2zinc.net/clients/AWEA/WP17/ Public/SessionDetails.aspx?FromPage=Sessions.aspx&SessionID=282&SessionDateID=10

 

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: http://s23.a2zinc.net/clients/AWEA/WP17/Public/SessionDetails.aspx?FromPage= Sessions.aspx&SessionID=282&SessionDateID=10

 

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: http://s23.a2zinc.net/clients/AWEA/WP17/Public/SessionDetails.aspx?FromPage= Sessions.aspx&SessionID=283&SessionDateID=10

 

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: http://s23.a2zinc.net/clients/AWEA/WP17/Public/SessionDetails.aspx?FromPage= Sessions.aspx&SessionID=435&SessionDateID=10

 

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.

 

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. 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: http://dx.doi.org/10.1109/RWEEK.2016.7573313

 

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: https://windeurope.org/summit2016/conference/allposters/PO322.pdf

 

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: https://windeurope.org/summit2016/conference/submit-an-abstract/pdf/66569812571.pdf

 

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: http://resourcecenter.ieee-pes.org/product/-/download/partnumber/PESSLI1334

 

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: https://peer.asee.org/25763

 

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 & Exposition. Seattle, Washington: ASEE Conferences, Jun. 2015. [Online]. Available: https://peer.asee.org/24349

 

 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.

 
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.
 
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.
 
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.
 
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.
 
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.
 
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.
 
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.
 
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.
 
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.
 
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.
 
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.
 
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.
 
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.
 
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.
 
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.
 
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.
Patents:
​A.J. Effenberger, J.R. Scott, and T.R. McJunkin, 2014, “Apparatus, system, and method for laser-induced breakdown spectroscopy,” Patent 8,891,073, November 18, 2014.

 
J.R. Scott, T.R. McJunkin, and P.L. Tremblay, 2013, “Apparatuses and methods for generating electric fields,” Patent 8,502,159, August 6, 2013.

 
D.A. Dahl, J.R. Scott, and T. R. McJunkin, 2012, “Method and apparatuses for ion cyclotron spectrometry,” Patent 8,129,678, March 6, 2012.

 
D.A. Dahl, J.R. Scott, T.R. McJunkin, 2010, “Method and apparatus for ion cyclotron spectrometry,” Patent 7,777,182, August 17, 2010. 

 
D.A. Dahl, J.R. Scott, A.D. Appelhans, T.R. McJunkin, and J.E. Olson, 2009, “Ion mobility spectrometers and methods for ion mobility spectrometry,” Patent 7,518,106, April 14, 2009.

 
D.A. Dahl, J.R. Scott, A.D. Appelhans, T.R. McJunkin, and J.E. Olson, 2009, “Continuous sampling ion mobility spectrometers and methods therefor,” Patent 7,518,105, April 14, 2009.

 
J.R. Scott, D.A. Dahl, C.J. Miller, P.L. . Tremblay, and T.R. McJunkin, 2007, “Dual mode ion mobility spectrometer and method for ion mobility spectrometry,” Patent 7,259,369, August 21, 2007.

 
C.D. McBride, P.V. Brownell, and T.R. McJunkin, 2006, “Adaptive clock skew in a variably loaded memory busd,” Patent 7,017,068, March 21, 2006.

 
T.R. McJunkin, J.A. Johnson, E.D. Larsen, and H.B. Smartt, 2006, “Welding apparatus and methods for using ultrasonic sensing,” Patent 7,094,989, August 22, 2006.

 
C.D. McBride, P.V. Brownell, and T.R. McJunkin, 2005, “System and method for adaptively adjusting clock skew in a variably loaded,” Patent 6,915,443, July 5, 2005.

 
J.A. Johnson, E.D. Larsen, K.S. Miller, H.B. Smartt, and T.R. McJunkin, 2002, “Method for the concurrent ultrasonic inspection of partially completed welds,” Patent 6,484,584, November 26, 2002.

 
T.R. McJunkin, 1999, “Power shutdown apperatus,” Patent 5,907,687, May 25, 1999.
Awards:

​Idaho National Laboratory, Inventor Hall of Fame, 2009

Version: 20.0
Created at 8/12/2015 2:29 PM by diana.thompson@inl.gov
Last modified at 4/16/2018 8:30 AM by Phyllis L. King