Results
Displaying 25-36 of 202 Results
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PI Theodore von Hippel
- Bayesian Analysis of Stellar Evolution is an international collaboration studying stellar evolution with an emphasis on stellar ages. We also develop and support a Bayesian software suite that recovers star cluster and stellar parameters from photometry, currently called BASE-9.
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PI Alberto Mello
CO-I Paulina De La Torre Morales
CO-I Open Position - New students are welcome
- This study is evaluating what initial conditions can activate cubic slip planes, then the level of accommodation and strain homogenization within the grain, and how a given initial condition affects the material behavior when subjected to operational cyclic loads under high temperature.
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PI Dothang Truong
- This project leverages big data analytics tools for the exploration and transformation of injury data for a major Part 121 carrier with the goal of predictive modeling. This project offers graduate students an opportunity to work with a substantial airline dataset under the supervision of a faculty member. The outcomes have the potential to lead to more extensive future projects in the realm of big data analytics. (This project is under strict NDA).
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PI Alberto Mello
CO-I Kiran Kumar Avula
CO-I James Pembridge
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This project is in partnership with Gulfstream Aerospace Corporation under MMSE program.
Birds pose a major threat to aviation. Bird impact can lead to significant damage of the aircraft and can be sometimes catastrophic. For a damage tolerant design of an aircraft structure, the structure has to fulfill the airworthiness specifications prescribed by FAA or EASA.
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PI Pedro LLanos
CO-I Sathya Gangadharan
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This research conducted with Co-Investigators Sathya Gangadharan (ERAU) and Kristina Andrijauskaite (MUSC/UTHSCSA), funded by ERAU’s Faculty Research Development Program, was ERAU's first suborbital payload aboard Blue Origin’s New Shepard launched December 12, 2017. The main aim of this research was to investigate the effect of microgravity on T-cells and to understand how this research could be used to develop T-cell-based therapeutics for cancer patients. A second goal was to monitor the environment that T-cells encountered during suborbital flight. The recorded data will be used to better understand the behavior and functionality of the T-cells when exposed to different stressors.
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PI Pedro LLanos
CO-I Sathya Gangadharan
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The following studies were conducted with Co-PIs Dr. Sathya Gangadharan (ERAU) and Kristina Andrijauskaite (University of Texas Health Science Center in San Antonio [UTHSCSA]).
MESSI Summary: This project was ERAU's second suborbital payload aboard Blue Origin’s New Shepard launched May 2, 2019. We analyzed the effects of suborbital flight stressors and various light conditions (red, white, no light) on the Arthrospira platensis, commonly known as Spirulina, aboard Blue Origin’s New Shepard launch vehicle. Commercially available cyanobacterium species were cultivated and closely monitored in mother colonies several months before the flight. The aim was to estimate biomass production and growth as a potential dietary alternative for prospective human spaceflight's life support system.
McXIMUS Summary: Zebrafish larvae were exposed to the same physiological stressors they would encounter during suborbital space flight: alterations in light, thermal, and centrifugation conditions, and their behavioral responses were analyzed using the DanioVision (Noldus) behavioral tracking system. Our results showed that zebrafish were most active when kept in a dark environment as measured by swim distance. Also, thermal alterations revealed that zebrafish larvae adapted well to the different temperatures ranging from 25°C to 32°C with the highest levels of locomotor activity observed at 32°C. Finally, the centrifugation tests demonstrated that although zebrafish were exhausted initially, their recovery process was short, lasting for approximately five minutes.
C
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PI Eduardo Rojas
- The focus of this CARRER development project is on an emerging antenna fabrication technique that combines additive manufacturing (AM) and pulsed laser machining that has the potentials to fundamentally alter the existing state of the art.
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PI Alan Liu
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This project will establish a distributed network of meteor radars and optical instruments in the mid-latitudes of South America, providing continuous measurements of upper atmospheric winds and nighttime wave perturbations in the mesosphere and thermosphere.
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PI Sathya Gangadharan
- The world's primary energy needs are projected to grow by 56% between 2005 and 2030, by an average annual rate of 1.8% per year (International Energy Agency, 2012). Energy policy has confirmed the improvement of the environment sustainability of energy as a primary objective also though increasing use of renewable sources (Increasing Wind Energy's contribution to U.S. Electricity supply, 2008).
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PI Woo Jin Choi
CO-I Dothang Truong
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The purpose of this research was to develop a cost optimization model to identify an optimal solution to expand airport capacity in metropolitan areas in consideration of demand uncertainties. The study first analyzed four airport capacity expansion cases from different regions of the world to identify possible solutions to expand airport capacity and key cost functions which are highly related to airport capacity problems. Using mixedinteger nonlinear programming (MINLP), a deterministic optimization model was developed with the inclusion of six cost functions: capital cost, operation cost, delay cost, noise cost, operation readiness, and airport transfer (ORAT) cost, and passenger access cost. These six cost functions can be used to consider a possible trade-off between airport capacity and congestion and address multiple stakeholders’ cost concerns.
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PI Bryan Watson
- The overarching goal of our research is to advance our understanding of bed bug behavior and use this understanding to improve performance of aerospace swarms.