Journal Papers
Kim, I.*, Rolen, A.*, Singh, S.K., Probabilistic Regression for Autonomous Terrain Relative Navigation via Multi-Modal Feature Learning, Machine Vision and Applications (Submitted: April 2024).
Alvarado, K.*, Singh, S.K., Exploration and Maintenance of Homeomorphic Orbit Revs in the Elliptic Three-Body Problem, Aerospace (Submitted: April 2024).
Singh, S.K., Junkins, J.L. Stochastic learning and extremal-field map based autonomous guidance of low-thrust spacecraft. Scientific Reports 12, 17774 (2022).
Singh, S.K., Junkins, J. L., Majji, M., Taheri, E. (2022). Rapid accessibility evaluation for ballistic lunar capture via manifolds: A Gaussian process regression application. Astrodynamics, 1-23.
Singh, S.K., Anderson, B.D., Taheri, E. & Junkins, J. Low-Thrust Transfers to Southern L2 Near-Rectilinear Halo Orbits Facilitated by Invariant Manifolds. Journal of Optimization Theory & Applications, DOI.
McElreath, J., Majji, M., Singh, S.K., Junkins, J. L. (2021).Optimal Bi-Impulse Orbital Transfers: Station Keeping Applications. Journal of Guidance, Control and Dynamics, 1-10, DOI.
Singh, S.K., Anderson, D.B., Taheri, E. & Junkins, J. Eclipse-Conscious Transfers to Lunar Gateway Using Ephemeris-Driven Terminal Coast Arcs, Journal of Guidance, Control and Dynamics, 1-17, DOI.
Singh, S.K., Anderson, D.B., Taheri, E. & Junkins, J. (2021). Exploiting Manifolds of L1 Halo Orbits for End-to-End Earth-Moon Low-Thrust Trajectory Design, Acta Astronautica, 183, 255-272.
Singh, S.K., Woollands, R., Taheri, E., & Junkins, J. (2020). Feasibility of quasi-frozen, near-polar and extremely low-altitude lunar orbits, Acta Astronautica, 166, 450-468.
Sahu, Rupali, Patel, Vrushang, Singh, S.K., Munjal, B S, Structural optimization of a space mirror to selectively constrain optical aberrations, Structural and Multi-Disciplinary optimization, Springer Publication, Article 1616, DOI: 10.1007/s00158-016-1616-x.
Singh, S.K., Sahu, Rupali, Constrained Optimisation of Passive Tuned Mass Damper using simulated annealing and artificial neural network, Journal of Mechanical Engineering, SSME, Volume 11, ISSN:2249 -0531.