Sandeep Singh

Assistant Professor
Mechanical, Aerospace and Nuclear Engineering
518-276-2625
sandes5
Education: 

Ph.D. Texas A&M University, 2022

B. Tech. Indian Institute of Space Science and Technology, 2013

Focus Area: 
Spacecraft Trajectory Design|X|Space Mission Design|X|Optimal Control|X|Manifold Theory and Chaotic Dynamics|X|Machine Learning Applications|X|Bayesian Regression
Bio: 

Professor Sandeep Singh joined the Mechanical, Aerospace and Nuclear Engineering department at Rensselaer Polytechnic Institute as a tenure-track Assistant Professor in July 2022. He received his Ph.D. from Texas A&M University in 2022 where his thesis focused on leveraging manifolds and manifold-analogues to generate efficient, ephemeris-driven, piecewise optimal trajectories with eclipse consciousness. Professor Singh was also a graduate fellow during Summer 2020 at Jet Propulsion Laboratory, California Institute of Technology where he spent the previous summer as an intern. During his doctoral studies, he was awarded several university fellowships as well as the John V. Breakwell Student Award conferred by the American Astronautical Society. Prior to starting his doctoral studies, he was employed as a Scientist at Space Applications Center, Indian Space Research Organization where he served as Program Manager for Mechanical Design of the ASTROSAT mission. He also supported efforts for optical assembly design and was responsible for developing innovative, low-risk, space-qualification testing methods like the Force Limited Vibration Testing for fragile remote sensing payloads. He actively serves as a referee for several international journals and conferences and has published several journal articles and conference papers.

Publications: 
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|X|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: https://doi.org/10.1007/s10957-021-01898-9.|X|McElreath, J., Majji, M., Singh, S.K., Junkins, J. L. (2021).Optimal Bi-Impulse Orbital Trans- fers: Station Keeping Applications. Journal of Guidance, Control, and Dynamics, 1-10, DOI: https://doi.org/10.2514/1.G005918.|X|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 Dy- namics, 1-17, DOI: https://doi.org/10.2514/1.G005920.|X|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|X|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.|X|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 optimisation, Springer Publication, Article 1616, DOI: 10.1007/s00158-016-1616-x.|X|Singh, Sandeep Kumar, et al. Analytical Evaluation of Design Margins for Force Limited Vibration Testing of Electro-optical Payloads., Procedia Engineering 114 (2015): 369-376.