Customize Consent Preferences

We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below.

The cookies that are categorized as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. ... 

Always Active

Necessary cookies are required to enable the basic features of this site, such as providing secure log-in or adjusting your consent preferences. These cookies do not store any personally identifiable data.

No cookies to display.

Functional cookies help perform certain functionalities like sharing the content of the website on social media platforms, collecting feedback, and other third-party features.

No cookies to display.

Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics such as the number of visitors, bounce rate, traffic source, etc.

No cookies to display.

Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.

No cookies to display.

Advertisement cookies are used to provide visitors with customized advertisements based on the pages you visited previously and to analyze the effectiveness of the ad campaigns.

No cookies to display.

RESOURCE MENU

trojan watermark.jpg

RESOURCE MENU

trojan watermark.jpg
James Wanliss headshot

James Wanliss

College of Engineering
College of Engineering
Professor of General Engineering
jwanliss@andersonuniversity.edu
(864) 231-1864
College of Engineering
Academic Background
James Wanliss, Ph.D., is Professor of General Engineering at Anderson University. He has published many peer-reviewed research articles, has held the NSF CAREER award, and does research in complex and turbulent nonlinear dynamical systems under grants from NASA and NSF. He has served as an expert reviewer for the United Nations Intergovernmental Panel for Climate Change. He is a Senior Fellow and Contributing Writer for The Cornwall Alliance for the Stewardship of Creation, and author of Resisting the Green Dragon.
BS in Physics, University of Cape Town BS in Applied Mathematics, University of Cape Town
MS in Geophysics, University of the Witwatersrand
Ph.D in Physics, University of Alberta
Fast Facts
I am deeply committed to Anderson University’s distinctive mission of combining academic excellence with Christian faith formation. Here, I have the privilege of mentoring students in both their intellectual and spiritual growth, demonstrating how engineering principles reveal the elegant complexity of God’s creation. AU encourages faculty to strive to model Christ’s love while fostering critical thinking and technical expertise in their teaching and relationships with students and colleagues. This unique blend allows me to help develop the next generation of engineers who not only excel in their field but also understand their work as a reflection of God’s creative nature and their calling to serve others through technological innovation. Anderson University provides the perfect platform for integrating faith and learning, where students can appreciate both the technical mastery required in engineering and the divine wisdom evident in the natural laws we study.
Engineering transcends traditional mathematics and science—it’s the art of creative problem-solving that shapes our world in countless ways. When you observe your surroundings, from the smartphone in your hand to the buildings you inhabit, from energy systems to life-saving medical devices, everything has been influenced by engineering innovation. Engineers are modern-day creators who combine technical expertise with creativity, ethics, and social responsibility to address global challenges.
NSF CAREER Award, Reviewer for NASA Postdoctoral Program, Reviewer for NSF research awards, Reviewer for SC NASA Space Grant, Committee Member on AGU Africa Award for Research Excellence in Space Science
I enjoy the enthusiasm of AU students and the conscious effort of the University administration to encourage faculty to integrate learning and scholarship with faith in Jesus Christ.
Complex and turbulent engineering dynamics, plasma fluids, nonlinear control systems, signal processing
  1. Alzakari SA, Ojo S, Wanliss J, et al. (2024) LesionNet: an automated approach for skin lesion classification using SIFT features with customized convolutional neural network. Med. 11:1487270. doi: 10.3389/fmed.2024.1487270
  2. Aldrees A, Ojo S, Wanliss J, et al. (2024) Data-centric automated approach to predict autism spectrum disorder based on selective features and explainable artificial intelligence. Comput. Neurosci. 18:1489463. doi: 10.3389/fncom.2024.1489463
  3. Golmankhaneh, Alireza and Wanliss, James (2024), Expansion of the universe on fractal time: A study on the dynamics of cosmic growth, International Journal of Modern Physics A, 2024 39:13n14, DOI: 10.1142/S0217751X24500593
  4. Wanliss, James (2024), Leveraging Novel Machine Learning in Engineering Education, 2024 ASEE Annual Conference & Exposition, doi: https://doi.org/10.18260/1-2–47741
  5. Wanliss, J.A. (2023), Fractal Methods in Nonequilibrium Systems, in (Ed. S.-A. Ouadfeul) Fractal Analysis – Applications and Updates, DOI: 10.5772/intechopen.1002058
  6. Wanliss, J.A., Wanliss, G.E. Efficient calculation of fractal properties via the Higuchi method. Nonlinear Dyn 109, 2893–2904 (2022). https://doi.org/10.1007/s11071-022-07353-2
  7. Wanliss, J., Arriaza, R. H., Wanliss, G., and Gordon, S. (2021). Optimization of the Higuchi Method. International Journal of Research -GRANTHAALAYAH, 9(11), 202-213. doi:10.29121/granthaalayah.v9.i11.2021.4393
  8. Wanliss, J.A., and G.E. Wanliss (2021), Efficient Calculation of Fractal Properties via the Higuchi Method, Nonlinear Dynamics Previews, https://doi.org/10.21203/rs.3.rs-756319/v1.
  9. Wanliss, J., Efficiency of Price Movements in Futures Markets, The Indian Economic Journal, 68(2), 193–206, 2020. DOI: 10.1177/0019466220966599
  10. Dobias P., Wanliss J.A. (2018), Empirical Mode Decomposition in Defence Data Analysis, in (eds.) Morales A., Gershenson C., Braha D., Minai A., Bar-Yam Y. (eds) Unifying Themes in Complex Systems IX. ICCS 2018, https://doi.org/10.1007/978-3-319-96661-8_24.
  11. Wanliss, J., Cornélissen, G., Halberg, F. et al., Superposed Epoch Analysis of Physiological Fluctuations: Possible Space Weather Connections, Int J Biometeorol (2018) 62: 449. https://doi.org/10.1007/s00484-017-1453-7.
  12. Wanliss, J.A., V. Muñoz, D. Pastén, B. Toledo, and J. A. Valdivia (2017), Critical behavior in earthquake energy dissipation, Phys. J. B, 90 (9) 167 (2017), doi:10.1140/epjb/e2017-70657-y.
  13. Wanliss, J.A., V. Muñoz, D. Pastén, B. Toledo, and J. A. Valdivia, Critical behavior in earthquake energy dissipation, Processes Geophys. Discuss., 22, 1–27, 2015, doi:10.5194/npgd-22-1-2015.
  14. Wanliss, J. A., and P. Dobias, Empirical Mode Decomposition Applied to Afghanistan Violence Data: Comparison with Multiplicative Seasonal Decomposition, Battlefield Tech., 17, 2, 5-17, 2014.
  15. Dobias, P. and A. Wanliss, Interdisciplinary Applications of Statistical Physics to Modeling Decisions in Combat Situations, Intl. J. Arts and Sci., 7(1): 271-286, 2014.
  16. Wanliss, J. A., Shiokawa, K., and Yumoto, K., Latitudinal variation of stochastic properties of the geomagnetic field, Processes Geophys., 21, 347-356, doi:10.5194/npg-21-347-2014, 2014.
  17. Wanliss, J. A., and P. Dobias, Dealing with Non-Stationarities in Violence data using Empirical Mode Decomposition, Battlefield Tech., 16, 2, 9-12, 2013.
  18. Dobias, P., andA. Wanliss, Fractal Properties of Conflict in Afghanistan Revisited, J. Battlefield Tech., 15, 3, 31-36, 2012.
  19. Wanliss, J., and J. Peterson, Complex Analysis of Polar Auroras for 1996, in (eds.) Sharma, A. S., A. Bunde, V. P. Dimri, and D. N. Baker (2012), Extreme Events and Natural Hazards: The Complexity Perspective, Geophys. Monogr. Ser., vol. 196, 371 pp., AGU, Washington, DC, doi:10.1029/GM196, pp. 293-298.
  20. Peter Dobias, Philip T. Eles, Jonathan Schroden, James Wanliss (2011), Quantitative Assessment in Military Intelligence: Predictive Analysis and Risk Assessment in Current Security Environment, 28th Intl. Symp.on Military Operational Research, New Place, Hampshire, UK.
  21. Yu, Z.-G., V. Anh, Y. Wang, D. Mao, and Wanliss (2010), Modeling and simulation of the horizontal component of the geomagnetic field by fractional stochastic differential equations in conjunction with empirical mode decomposition, J. Geophys. Res., 115, A10219, doi:10.1029/2009JA015206.
  22. Wanliss, J., and M. Larsen (2010), In-Situ Observations of High-Latitude Thermosphere-Mesosphere Turbulence, in (eds.) D. Vassiliadis et al., Modern Challenges in Nonlinear Plasma Physics, AIP Proceedings 1320, pp. 82-86, doi:10.1063/1.3544342.
  23. Wanliss, J., and P. Dobias (2010), Detrended Fluctuation Analysis of Combat in Afghanistan, Battlefield Tech., 13, 3, 25-29.
  24. Wanliss, M. Watke, and J. Johnson (2010), Variability in the Solar Wind Parameters over a Solar Cycle and their Ground Signatures, in (eds.) Milan Maksimovic et al., Twelfth International Solar Wind Conference, AIP Proceedings 1216, pp. 675-678.
  25. Wanliss, J.A. and V. M. Uritsky (2010), Understanding bursty behavior in midlatitude geomagnetic activity, Geophys.Res., 115, A03215, doi:10.1029/2009JA014642.
  26. Martin, N. E. Turner, and J. Wanliss (2009), Timing of substorm related auroral oscillations, Earth Planets Space, Vol. 61 (No. 5), pp. 615-619, https://doi.org/10.1186/BF03352935.
  27. Dobias, P. and Wanliss, J.A. (2009), Intermittency of Storms and Substorms: Is it Related to the Critical Behaviour?, Annales Geophysicae, 27, 5, 2011-2018, https://doi.org/10.5194/angeo-27-2011-2009.
  28. Camacho, C.F., Johnson-Giammalvo, C.A., Wanliss, J., Mosca, J., Kahler, P.V., Space Spinoffs, Advances in the Astronautical Sciences, Volume 130 PART 2, 2008, 1805-1818.
  29. Anh, V., Yu, Z.-G., and Wanliss, J. A. (2007), Analysis of global geomagnetic variability, Processes Geophys., 14, 701-708, doi:10.5194/npg-14-701-2007.
  30. James Wanliss, Dahai Liu, Vadim Uritsky, and Michael Wuergler (2007), Fractal Modeling of Human Psychomotor Skills, In: Duffy V.G. (eds) Digital Human Modeling. ICDHM 2007. Lecture Notes in Computer Science, vol 4561. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73321-8_55.
  31. Wanliss, J. A., and J. M. Weygand (2007), Power law burst lifetime distribution of the SYM-H index, Res. Lett., 34, L04107, doi:10.1029/2006GL028235.
  32. Wanliss, J.A., and P. Dobias (2007), Space Storm as a Phase Transition, Atmos. Sol. Terr. Phys., doi:10.1016/j.jastp.2007.01.001, 69, 675–684.
  33. Dobias, P., A. Wanliss, and J. C. Samson (2006), Nonlinear Stability of the Near-Earth Plasma Sheet during Substorms: February 9, 1995 event, Can. J. Physics, 2006, 84(12): 1029-1047, https://doi.org/10.1139/p07-001
  34. Cersosimo, D. O., and Wanliss, J.A. (2007), Initial Studies of high latitude magnetic field data during different magnetospheric conditions, Earth Planets Space, 59 (1), pp. 39-43.
  35. Wanliss, J. A. (2006), Substorm onset location and dipole tilt angle, Annales Geophysicae, 24: 577-588, https://doi.org/10.1186/BF03352020.
  36. Wanliss, J. A., and D. O. Cersosimo, Scaling properties of high latitude magnetic field data during different magnetospheric conditions, Substorms-8, Proceedings 8th International Conference on Substorms, Banff, Canada, 325-329, 2006.
  37. Wanliss, J. A., and G. Rostoker, IMAGE analysis and modeling of substorm onsets, Substorms-8, Proceedings 8th International Conference on Substorms, Banff, Canada, 331-335, 2006.
  38. Wanliss, J. A., and K. M. Showalter, High-resolution global storm index: Dst versus SYM-H, Geophys. Res., 111, A02202, doi:10.1029/2005JA011034, 2006.
  39. -G. Yu, V. V. Anh, J. A. Wanliss, and S. Watson, Chaos game representation of DST and its multifractal analysis, doi:10.1016/j.chaos.2005.12.046, Chaos Solitons Fractals, 2006.
  40. Dobias, P., and A. Wanliss, Nonlinear Stability of the Near-Earth Plasma Sheet During Substorms, Substorms-8, Proceedings 8th International Conference on Substorms, Banff, Canada, 49-53, 2006.
  41. Wanliss, J.A., Statistical Precursors to Space Storm Onset, in Multiscale Coupling of Sun-Earth Processes, (eds.) A.T.Y. Lui, Y. Kamide, and G. Consolini, Elsevier, 99-112, 2005, https://doi.org/10.1016/B978-044451881-1/50008-3.
  42. Wanliss, J. A., V. V. Anh, Z.-G. Yu, and S. Watson, Multifractal modeling of magnetic storms via symbolic dynamics analysis, Geophys. Res., doi:10.1029/2004JA010996, 2005.
  43. Anh, V. V., Z.-G. Yu, A. Wanliss, and S. M. Watson, Prediction of magnetic storm events using the Dst index, Nonlin. Proc. Geophys., 12, 799-806, 2005, https://doi.org/10.5194/npg-12-799-2005.
  44. James Wanliss, Rodney Piercey, Joseph Mosca, and Christina Frederick, Space Science in the American Classrooms: the Teachspace Experience, 1st Space Exploration Conference, Orlando, Fl, AIAA-2005-2718, 1052-1055, 2005.
  45. Wanliss, A., Fractal properties of SYM-H during quiet and active times, J. Geophys. Res., 110, A03202, doi:10.1029/2004JA010544, 2005.
  46. Wanliss, J. A., Nonlinear variability of SYM-H over two solar cycles, Earth Planets Space, 56, e13–e16, 2004, https://doi.org/10.1186/BF03352507.
  47. Mitsutake, G., Otsuka, K., Oinuma, S., Ferguson, I., Cornelissen, G., Wanliss, J., and Halberg, F., Does exposure to an artificial ULF magnetic field affect blood pressure, heart rate variability, and mood?, Biomedicine & Pharmacotherapy, 58 (Suppl. 1), S20-S27, 2004, https://doi.org/10.1016/S0753-3322(04)80004-0.
  48. Rae, I. J., K. Kabin, R. Rankin, F. R. Fenrich, W. Liu, A. Wanliss, A. J. Ridley, T. I. Gombosi, and D. L. De Zeeuw, Comparison of photometer and global MHD determination of the open-closed field line boundary, J. Geophys. Res., 109, A01204, doi:10.1029/2003JA009968, 2004.
  49. A. Wanliss, James Cunningham, and Rodney Piercey, Adventures in Aerospace: Embry-Riddle Experiences, Proceedings of the International Symposium on Advancement of Aerospace Education and Collaborative Research in the 21st Century, Hankuk Aviation University, Republic of Korea, 3-14, 2004.
  50. Dobias, J. A. Wanliss, I. O. Voronkov, and J. C. Samson, On the Stability of the Near-Earth Magnetotail at Growth Phase, Substorms-7, Proceedings International Conference on Substorms-7, Levi, Lapland, 2004.
  51. Wanliss, J. A. and M. A. Reynolds, Fractal dimension of low-latitude geomagnetic temporal variations, Geophysicae, 21, 2025-2030, 2003, doi:10.5194/angeo-21-2025-2003.
  52. Lu, J. Y., R. Rankin, R. Marchand, V. T. Tikhonchuk, and Wanliss, Finite element modeling of nonlinear dispersive field line resonances: Trapped shear Alfvén waves inside field-aligned density structures, J. Geophys. Res., 108(A11), 1394, doi:10.1029/2003JA010035, 2003.
  53. Wanliss, J. A. and R. Rankin, Auroral substorm dynamics and field line resonances, Earth Planets Space, 54, 927-932, 2002, https://doi.org/10.1186/BF03352440.
  54. Wanliss, J. A., R. Rankin, J. C. Samson, and T. Tikhonchuk, Field line resonances in a stretched magnetotail: CANOPUS optical and magnetometer observations, J. Geophys. Res., 107(0), doi:10.1029/2001JA000257, 2002.
  55. Mitsutake, G., Oinuma, S., Kubo, Y., Yamanaka, T., Otsuka, K., Ohkawa, S., Cornélissen, G., Halberg, F., Wanliss, J., Does exposure to artificial ULF waves affect blood pressure and heart rate variability?, Proceedings 3rd International Symposium: Workshop on Chronoastrobiology and Chronotherapy, Otemachi, Chiyodaku, Tokyo, 9 Nov 2002, pp. 31-35.
  56. Wanliss, J. A. and R. Rankin, Relationship of oscillating aurora to substorms and magnetic field line resonances, in (ed.) R.M. Winglee, Substorms-6, International Conference on Substorms-6, Seattle, USA, 105-109, 2002.
  57. Wanliss, J. A., R. D. Sydora, G. Rostoker, and R. Rankin, Origin of some anisotropic flows in the plasma sheet, Geophysicae, 20, 1559-1575, 2002, doi:10.5194/angeo-20-1559-2002.
  58. Mitsutake, G., Cornélissen, G., Otsuka, K., Wanliss, J., and Halberg, F., Does exposure to artificial ULF waves affect mood?, Proceedings 2nd International Symposium, Workshop on Chronoastrobiology and Chronotherapy, Otemachi, Chiyodaku, Tokyo, 17 Nov 2001, pp. 40-41.
  59. Wanliss, J. A., J. C. Samson, and Friedrich, On the use of photometer data to map dynamics of the magnetotail current sheet during substorm growth phase, J. Geophys. Res., 105, 27673-27684, 2000, https://doi.org/10.1029/2000JA000178.
  60. Wanliss, J. A. and R. D. Sydora, Distribution function mapping Technique to model Distributed Plasma Sources and flows in Space Plasmas, Proceedings of the Seventeenth International Conference on the Numerical Simulation of Plasmas, Banff, Alberta, 134-137, 2000.
  61. Wanliss, J. A., Fast ion flows in the Earth’s Magnetotail, Thesis (PhD), UNIVERSITY OF ALBERTA (CANADA), Source DAI-B 62/05, p. 2358, Nov 2001, 163 pages, 2000.
  62. Petrukovich, A. A., A. Wanliss, T. Mukai, T. Yamamoto, S. Kokubun, Small-amplitude bipolar flows in the near-earth tail, Geophys. Res. Lett., 26, 2909-2912, 1999, https://doi.org/10.1029/1999GL010671.
  63. Mann, Ian R., Gareth Chisham, James A. Wanliss, Frequency-doubled density perturbations driven by ULF pulsations, Geophys. Res., 104, 4559-4565, 1999, https://doi.org/10.1029/1998JA900136.
  64. Petrukovich, A. A., A. Wanliss, T. Mukai, T. Yamamoto, S. Kokubun, 1998, Small-amplitude tailward flows and dipolarizations in the near-earth tail, in (eds.) S. Kokubun and Y. Kamide, Proc. Substorms-4, International Conference on Substorms-4, Lake Hamana, Japan, Terra Scientific Publ. Co., Tokyo; Kluwer Academic Publ., Dordrecht, p.207, 1998.
  65. Wanliss, J. A., The sun-earth connection in geophysics, South African Geophysical Association Newsletter, April 1998, 23.
  66. Wanliss, J. A., A Study of Temporal Variations of the Geomagnetic Field with Reference to Aeromagnetic Surveys, Thesis (MSc), UNIVERSITY OF THE WITWATERSRAND (SOUTH AFRICA), 162 pages, 1995.
  67. Wanliss, J. A. and L. A. G. Antoine, Geomagnetic micropulsations: Implications for high resolution aeromagnetic surveys, Exploration Geophysics, 26, 535-538, 1995, https://doi.org/10.1071/EG995535.
  68. Wanliss, J. A. and L. A. G. Antoine, Hydrological parameters of the Lingerette Street Catchment, report for the Department of Water Systems Research, Johannesburg, South Africa, 1994.
  69. Wanliss, J. A., Light Pulse Shapes from Scintillators and improved Pulse Shape Discrimination for 6Li Glass Scintillators, B.Sc Hons. thesis, University of Cape Town, Cape Town, South Africa, 1992.