Sebastian Acosta, Ph.D.
Assistant Professor
Positions
- Assistant Professor
-
Pediatrics - Critical Care
Analytics Laboratory
ÌÇÐÄvlogÃÛÌÒ of Medicine
Houston, TX, US
Education
- PhD from Rice University
- 05/2014 - Houston, Texas, United States
- Computational and Applied Mathematics, Biomechanics and Inverse Problems
- MS from Brigham Young University
- 05/2011 - Provo, Utah, United States
- Mathematics, Partial Differential Equations
- BS from Brigham Young University
- 05/2009 - Provo, Utah, United States
- Mechanical Engineering, Fluid Dynamics
Honors & Awards
- AMS-Simons Travel Grant 2015-2017
- BP Scholarship Award in Science 2012
- Selected Participant SIAM Summer School on Waves and Imaging 2011
- Graduate Research Award BYU Math 2011
- Graduate Research Fellowship BYU Math 2010
- Orson Pratt Prize for most outstanding graduating senior, BYU Math 2009
- Brigham Young Bicentennial Scholar
- World Young Researchers for the Environment WYRE 2000
- NSF-DMS Grant
- (07/2017 - 06/2020)
- NIH-NIBIB grant
Professional Interests
- Computational Biomechanics
- Inverse Problems and Imaging
- Machine Learning, predictive analytics for critical care
Professional Statement
Advanced computational methods and artificial intelligence are becoming a promising factor to improve the assessment and treatment of pathological conditions. My goal is to further this line of scientific endeavor and reinforce the translation of quantitative methods into clinical practice. I am an interdisciplinary scientist who works at the interface between mathematics, statistics, engineering and medicine. My areas of expertise are biomechanics, computational science, and mathematical and statistical methods of inference. Current applications include predictive analytics for the deterioration of ICU patients, for hemodynamic irregularities, improving quality and automation of ultrasound-based imaging, photoacoustic imaging, decision-making, and planning/scheduling optimization.
Websites
Selected Publications
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S. Acosta, D. Penny, C. Rusin. " " Microvasc. Res.. 2015 ; 100 : 40-47.
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S. Acosta and C. Montalto. " " Inverse Problems. 2015 ; 31 : 065009.
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S. Acosta, C. Puelz, B. Riviere, D. Penny, C. Rusin. " " J. COmput. Phys.. 2015 ; 294 : 96-109.
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S. Acosta. " " Inverse Prob & Imaging. 2015 ; 9 : 301-315.
Memberships
- AHA: American Heart Association
- SIAM: Society for Industrial and Applied Mathematics
- US Association for Computational Mechanics
Funding
-
Collaborative Research: Improved Algorithms for Multiwave Imaging in Complex Media: Theory and Computation
#1712725 - (07/15/2017 - 06/30/2020)
- Grant funding from NSF-DMS
-
Novel pseudo-differential methods to drastically increase computational speed and accuracy for biomedical ultrasound imaging and focusing
#1R15EB035359-01A1 - Grant funding from NIH
-
The PreVAIL-kIds Common Protocol
#4R33HD105593 - Grant funding from NIH
Intellectual Property
- Method of predicting fluid responsiveness in patients
- Method Patent #11504015 (Approved)
- A technique for predicting fluid responsiveness in a critically ill patient comprises measuring physiological data of the patient, then generating an estimate of pulse pressure vari ability from a Fourier transform of the physiological wave form. Both invasive and non-invasive physiological data measurements may be used.
- Co Inventors: Sebastian Acosta, Mubbasheer Ahmed, Suellen Yin, Kenneth M Brady, Daniel J Penny, Craig Rusin
- Clinical metric for predicting onset of cardiorespiratory deterioration in patients
- Method Patent #10485486 (Approved)
- A system generates and displays a clinical metric based on continuously collected patient physiological data, wherein the clinical metric provides a predictive measure of the likelihood of the onset of a cardiorespiratory deterioration event in the patient in a predetermined time period in the future. If the clinical metric has a configured relationship with a predetermined threshold value, embodiments may generate an alarm in addition to or instead of displaying the clinical metric. The clinical metric thus allows clinical staff to take medically indicated actions to prevent or reduce the effects of the predicted deterioration.
- Co Inventors: Craig Rusin, Kenneth M Brady, Eric Vu, Sebastian Acosta, Daniel J Penny
Languages
Spanish
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