1. Dmitry Georgievich Luchinsky
1 (650) 604-2330 | dmitry.g.luchinsky@ nasa.gov
PROFESSIONAL SUMMARY
Award winning Engineer and Research Scientist whose accomplishments include:
• Leading more than 20 research and development projects ranging from picosecond optics of
semiconductors, through stochastic resonance and fault analysis in solid rocket motors, to two-
phase cryogenic flows and impact dynamics in composite materials.
• Publishing more than 150 research articles including Nature, New Scientist, Physical Review Letters
and many other leading physics journals.
An innovative problem solver who seeks grand challenges of the seemingly impossible and can utilize
analysis of physics based applications in industry to make predictions of technological breakthroughs.
Skills:
• Analytical and theoretical analysis
• Bayesian inference
• Optimization methods
• Modeling complex (including chaotic) dynamics
• Extensive data analysis
• Two-phase flow modeling
• Proficiency in C++, MATLAB, MATHEMATICA, MAPLE, ABAQUS, ANSYS FLUENT, Python, Fortran.
Additional Accomplishments:
• Earned Exceptional Engineering Achievements Award in cryogenic modeling towards
autonomous cryogenic loading operations – NASA Head Quarters 2014.
• Google Scholar Citation Index: 2225 (213 papers, h-index: 26 and i10-index:50)
• Research Gate Score: 36.13 (208 papers, reads: 2147, citations: 256.64)
EMPLOYMENT HISTORY
2015-
Current
2005-2015
Senior Research Scientist;
SGT Inc.; Greenbelt, MD 20770
Computer Scientist; Research Enbineer; Senior Research Scientist
Mission Critical Technologies, Inc. USA
1995-2005 Research Associate, Senior Researcher, Senior Research Fellow,
Lancaster University; UK
1983-1995 Engineer; Junior Researcher; Researcher; Senior Researcher
Moscow Research Institute of Metorological Service, Russian Bureau of Standards
SELECTED RECENT RESEARCH PROJECTS
2012- Two-phase cryogenic flow modeling: I led efforts of a small group of research engineers in
development of the model, algorithm, and code for fast online predictions, fault detection, isolation and
recovery during advanced autonomous cryogenic loading operations of space vehicles.
Our code outperforms commercial software both in speed and accuracy. Its unique capabilities allowed us
to develop efficient optimization framework (using simulated annealing, pattern search, genetic algorithm,
and particle swarm algorithm) for inferring unknown parameters of heat transfer correlations from the
experimental time-series data [1-5]. The results are reported in 10 conference papers and 4 technical
reports.
2012- Ion channels: as a leading researcher of the joint Ames Resend Center (NASA) and Lancaster
University (UK) team, I looked into the problem of stochastic ion transition through biological nano-filters,
developed statistical mechanical theory for binding probabilities of ions from mixed solutions to the filter
and proposed a resolution of 60 years old paradox of how these filters can conduct with the rate 108 large
ions while preferring them over smaller ions with 1000:1 accuracy. The results are presented in many
papers and international conferences [6- 10], a submission to Nature is in preparation.

2. Dmitry Georgievich Luchinsky
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2009-2011 Base heating anomaly in Ares-1: as a leading researcher of the Mission Critical Technologies
and SGT team, I was asked to perform post flight analysis of sensors data and explain unexpected strong
overheating (by 1000 ℃) of rocket base flow that could not be observed in direct numerical simulations.
I performed topological and numerical analysis of the flow that revealed flow structure near mixing layers
on the plume and free stream sides, explained the absence of the plume backflow to the base and
experimentally observed temperature trends due to fuel cooldown in the mixing layer on the free stream
side, accumulation in the base at low altitudes and subsequent burning at high max numbers [11].
2004-2011 Bayesian inference of biological oscillators: as a member of joint team of Mission Critical
Technologies, Ames Research Center (NASA), and Lancaster University (UK), I developed numerical
methods and algorithms for simultaneous parameter and hidden state estimations in nonlinear stochastic
dynamical systems with applications to the inference of hidden predator population dynamics, to the
Bayesian inference of the parameters of heart-respiration coupling from experimental time-series data of
cardiovascular oscillations, and parameters of physiological signaling. The results are presented in many
papers and international conferences [12- 18].
2006-2008 Internal ballistics in solid rocket motors: Led development of theoretical Bayesian methods and
numerical tools and high fidelity simulations for detection and prognostics of case breach fault in solid
rocket motors. The results of the research were applied to the analysis of experimental data obtained at
ATK. Developed models reproduced very accurately nominal and faulty dynamics of the subscales rocket
motor and allowed to develop fault prediction algorithms. The results were applied to accurate predictions
of internal ballistics in large segmented rocket. The results were presented at many international aerospace
conferences [19- 22].
EDUCATION
PhD, CPhys MinstP; Moscow State University; Physics, with honours
SAMPLE PUBLICATIONS RELEVANT TO RESEARCH PROJECTS
1. Luchinsky, D. G., Smelyanskiy, V. N., & Brown, B. Physics Based Model for Cryogenic Chilldown and
Loading. Part IV: Code Structure, NASA/TP-2014-218399, 2014
2. Luchinsky, D.G., Ponizovskaya E, Khasin, M., Timucin, D., Kodali, A., Perotty, J., Saas, J., & Brown, B.
(2015). Two-phase flow modelling of the cryogenic propellant loading system. In 51st AIAA/SAE/ASEE
Joint Propulsion Conference. American Institute of Aeronautics and Astronautics, Orland, FL, July, 2015
3. Kashani, A., Luchinskiy, D. G., Ponizovskaya-Devine, E., Khasin, M., Timucin, D., Sass, J., Brown, B.
“Optimization of cryogenic chilldown and loading operation using SINDA/FLUINT”, IOP Conference
Series: Materials Science and Engineering, 101(1), 12115, 2015
4. Kodali, A., Ponizovskaya-Devine, E., Robinson, P., Luchinsky, D., Bajwa, A., Khasin, M., Perotty, J.,
Brown, B. D-matrix based fault modeling for cryogenic loading systems, Proceedings of the Annual
PHM Meeting, October 2015, Coronado Island, CA, USA, 2015
5. Luchinsky, D. G., Khasin, M., Timucin, D., Saas, J., Johnson, R.G ., Perotty, J., & Brown, B.. Physics Based
Model for Cryogenic Chilldown and Loading. Part III: Correlations, NASA/TP- 2016-219093, 2016.
6. D. G. Luchinsky, R. Tindjong, I. Kaufman, et al “Self-consistent analytic solution for the current and the
access resistance in open ion channels”, Phys.Rev. E, v.80, Article Number: 02192, 2009
7. R Tindjong, I Kaufman, DG Luchinsky, PVE McClintock, I Khovanov, RS Eisenberg, “Self-organized
enhancement of conductivity in biological ion channels”, New Journal of Physics, 15, 103005, 2013
8. I Kaufman, DG Luchinsky, R Tindjong, PVE McClintock, RS Eisenberg, “Multi-ion conduction bands in a
simple model of calcium ion channels”, Physical biology 10 (2), 0260075, 2013
9. RS Eisenberg, I Kaufman, D Luchinsky, R Tindjong, PVE McClintock, “Discrete Conductance Levels in
Calcium Channel Models: Multiband Calcium Selective Conduction”, Biophysical Journal 104, 358, 2013
10. Kaufman, I. Kh., Luchinsky, D. G., Gibby, W. A., McClintock, P. V .E., Eisenberg, R. S., (2016) Putative
resolution of the EEEE selectivity paradox in L-type Ca2+ and bacterial Ca+ biological ion channels J.
Stat. Mech. 054027, 2016

3. Dmitry Georgievich Luchinsky
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11. D. Luchinsky, S. Osipov, H. Hafiychuck, E. Ponizhovskaya, V. Smelyanskiy, M. Dagostino, F. Canabal, B.
L. Mobley, “Overheating Anomalies during Flight Test due to the Base Bleeding”, 7th International
Conference on Computational Fluid Dynamics (ICCFD7), Big Island, Hawaii, July 9-13, 2012
12. V.N. Smelyanskiy, D.G. Luchinsky, A. Stefanovska, P.V.E. McClintock, “Reconstruction of nonlinear
cardiorespiratory interaction from univariate time-series”, Physical Review Letters, v. 94, 098101, 2005
13. V. N. Smelyanskiy, D. G. Luchinsky, D. A. Timuçin, and A. Bandrivskyy, “Reconstruction of stochastic
nonlinear dynamical models from trajectory measurements”, Phys. Rev. E, v. 72, 026202 Part 2, 2005.
14. D.G. Luchinsky, M.M.Millonas, V.N. Smelyanskiy, A. Pershakova, A. Stefanovska, and P.V.E.McClintock,
“Nonlinear Statistical Modelling and Model Discovery for Cardiorespiratory Data”, Physical Review E,
v. 72, 021905 Part 1, 2005.
15. D.G. Luchinsky, V.N. Smelyanskiy, A.Duggento, and P.V.E. McClintock, "Inferential framework for
nonstationary dynamics. I. Theory", Phys. Rev. E 77, 061105, 2008
16. A.Duggento, D.G. Luchinsky, V.N. Smelyanskiy, I. Khovanov, and P.V.E. McClintock, "Inferential
framework for nonstationary dynamics. II. Application to a model of physiological signaling", Phys. Rev.
E 77, 061106, 2008
17. D. G. Luchinsky, V. N. Smelyanskiy, M. Millonas, and P. V. E. McClintock, “Dynamical inference of hidden
biological populations”, European Physical Journal B 65 369, 2008
18. V N Smelyanskiy, D G Luchinsky, M M Millonas, and P V E McClintock, “Recovering 'lost' information in
the presence of noise: application to rodent–predator dynamics”, New Journal of Physics, v. 11,
053012, 2009
19. V. Smelyanskiy, C. Kiris, S. Osipov, DG Luchinsky, D. Timucin, and S. Uckun, “Solid Rocket Motor Health
Management for Safe Space Flight”, paper AIAA-2006-6555, AIAA Guidance, Navigation, and Control
Conference and Exhibit, Keystone, Colorado, Aug. 21-24, 2006
20. D.G. Luchinsky, V.N. Smelyanskiy, V.V. Osipov, D.A. Timuchin, S-H Lee, “Data management and decision
support for the in-flight SRM”, AIAA 2007-2829, Infotech@Aerospace 2007 Conference and Exhibit, 7
- 10 May 2007, Rohnert Park, California, 2007
21. S.V. Osipov, D.G. Luchinsky, V.N. Smelyanskiy, C. Kiris, D.A. Timucin, S-H. Lee, “In-Flight Failure Decision
and Prognostic for the Solid Rocket Buster”, AIAA-2007-5823, 43rd AIAA/ASME/SAE/ASEE Joint
Propulsion Conference and Exhibit, Cincinnati, OH, July 8-11, 2007
22. V. V. Osipov, D.G. Luchinsky, V.N. Smelyanskiy, S. Lee, C. Kiris, D.A. Timucin, “Bayesian Framework for
In-Flight SRM Data Management and Decision Support”, Aerospace ConferenceIEEE; Big Sky, 3-10
March 2007 Page(s):1 - 16, 2007