
Kevin Alvarado
Kevin I. Alvarado is a graduate student at Rensselaer Polytechnic Institute (RPI) and working on a Ph.D. on Aerospace Engineering. He receivedhis Aerospace B.S. with Honors from Clarkson University and is a McNair Scholar. Before Attending Clarkson, he studied at a Career and Technical Education school where he became a certified Aircraft Maintenance Technician. He was also a Product Service Engineering intern at General Electric Aviation just after his freshman year. Since then, he hasworked on research with the Advanced Space Concepts Laboratory (ASCE) at RPI,Astronautics and Robotics Laboratory (ASTRO Lab) at Clarkson University and various speed teams including Design Build Fly and Concrete Canoe.
For more about prior experiences, go to: https://meritpages.com/alvarakl

Kevin Alvarado was recognized for winning a scholarship
New York Space Grant (NYSG) Student Support Fellowship Award
Fall 2023 - Spring 2024 -
Added by Kevin
Kevin Alvarado was recognized for being an Honors Program Graduate
Graduated in Aerospace Engineering with Honors in 2022
Spring 2022 -
Added by Kevin
RPI Foreign Language Club
Part of a club that discusses different types of languages, cultures and hosts events to promote them.
Fall 2022 - Fall 2024
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Rensselaer Polytechnic Institute
Added by Kevin
Model Railroad
Rensselaer Model Railroading Club that conducts events and competes in various competitions relating to trains model sets.
Fall 2022 - Fall 2024
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Rensselaer Polytechnic Institute
Added by Kevin
Engineeering Student Intern at General Electric (GE)
Analyzed engine data provided for trends. Cataloged deterioration of engine parts. Presented any findings of the data analyzed. Overall, assisted individuals that require help.
August 2019 - December 2019
Orbit Maintenance via Homeomorphic, Periodic Orbit revs in the Elliptic Restricted Three Body Problem
A novel station-keeping strategy leveraging periodic revolutions of homeomorphic orbits in the Elliptic Restricted Three Body Problem is presented. A sequential methodology based on pseudo arc-length continuation is described for the discovery, computation and classification of periodic revolutions morphed from their traditional circular restricted three body counterparts to build an apriori data-set. This data-set comprehensively encompasses all possible initial conditions as the true anomaly varies. A novel and efficient scheme to quantify impulsive orbit maintenance maneuvers, minimizing the total energy cost is presented. The proposed approach is salient in its generic applicability across any elliptic three body system and any periodic orbit family. Finally, average annual station keeping costs using the described methodology is quantified for selected ``orbits of interest'' in the cis-lunar and the Sun-Earth systems. The robustness and efficacy of the approach instills confidence in its applicability for realistic mission design scenarios.
August 2023 -
Conferences
Quantification Method for Assessment of Asteroid Resource Accessibility
Asteroid mining and retrieval have been explored as viable alternatives to supplying resources from Earth for space missions. Various methods for determining the accessibility of near-Earth asteroids have been presented; however, this method focuses on the quantity and types of resources that are available within a certain energy constraint given a redirection time frame. Lambert’s problem is solved to determine the optimal transfer orbit between the Earth and asteroid for rendezvous. A genetic algorithm is used to determine the minimum energy for transfer with varying flight durations and launch dates. The physical properties and spectral classifications of known asteroids are used to estimate the quantity and chemical composition of accessible resources. This method is applied to asteroids that have assigned taxonomic classifications. An overall distribution of asteroid types and energy requirements is presented for Earth and investigated for a sample asteroid scenario
March 2022 -
Conferences