Duo Xu | Interstellar Medium | Best Researcher Award

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Dr. Duo Xu | Interstellar Medium | Best Researcher Award

Dr. Duo Xu, CITA, University of Toronto, Canada

Dr. duo xu is a schmidt ai in science and cita postdoctoral fellow at the University of Toronto. With a PhD from UT Austin and extensive research experience at leading institutions like the University of Virginia, Dr. xu specializes in star formation, molecular clouds, and computational astrophysics. His innovative work bridges traditional astrophysics and modern machine learning techniques, contributing to advancements in synthetic observations and magnetohydrodynamic simulations. He is a recipient of multiple prestigious awards, including the Eric and Wendy Schmidt AI Fellowship.

PROFILE

Orcid Profile

Educational Details

PhD in Astronomy – University of Texas at Austin, 2021
Advisor: Prof. Stella Offner

M.A. in Astrophysics – National Astronomical Observatories, Chinese Academy of Sciences, 2016
Advisor: Prof. Di Li

B.S. in Astronomy – Nanjing University, 2014

Professional Experience

CITA, University of Toronto (2024–present)
schmidt ai in science postdoctoral fellow & cita postdoctoral fellow

University of Virginia (2021–2024)
Origins postdoctoral fellow, specializing in star formation, stellar feedback, and machine learning applications in astrophysics

Research Interests

Star Formation & Stellar Feedback: Investigating processes driving star formation and their impact on galactic environments.

Molecular Clouds & Turbulence: Exploring dynamics, magnetic fields, and turbulence in interstellar medium structures.

Magnetohydrodynamic Simulations: Applying computational techniques to simulate astrophysical phenomena.

Machine Learning Applications: Leveraging AI for advanced data analysis in radioastronomy and astrophysical research.

Teaching Experience

University of Texas at Austin

Teaching Assistant for Stellar Astronomy (2019–2020)

Earned Advanced Teaching Preparation Certificate (2019)

UMass Amherst

Leading Astronomy Labs, Teaching Assistant for Astronomy 100 (2016–2017)

Awards & Honors

The Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship – Canada, 2024

Humboldt Research Fellowship – Germany (declined), 2024

Rodger Doxsey Travel Prize – American Astronomical Society, 2022

David Alan Benfield Memorial Scholarship in Astronomy – UT Austin, 2021

Numerous academic scholarships, including the OGS Summer Graduate Fellowship and Frank N. Edmonds Jr. Memorial Fellowship.

Top Notable Publications

Exploring Magnetic Fields in Molecular Clouds through Denoising Diffusion Probabilistic Models
Duo Xu et al., 2024
Working Paper | arXiv e-prints
DOI: 10.48550/arXiv.2410.07032
BIBCODE: 2024arXiv241007032X

Surveying Image Segmentation Approaches in Astronomy
Duo Xu et al., 2024
Journal Article | Astronomy and Computing
DOI: 10.1016/j.ascom.2024.100838

Polarized Light from Massive Protoclusters (POLIMAP). I. Dissecting the Role of Magnetic Fields in the Massive Infrared Dark Cloud G28.37+0.07
Duo Xu et al., 2024
Journal Article | The Astrophysical Journal
DOI: 10.3847/1538-4357/ad39e0
Published: 2024-06-01

Disk Wind Feedback from High-Mass Protostars. III. Synthetic CO Line Emission
Duo Xu et al., 2024
Journal Article | The Astrophysical Journal
DOI: 10.3847/1538-4357/ad3211
BIBCODE: 2024ApJ…966..117X
Preprint: arXiv:2309.03868

Polarized Light from Massive Protoclusters (POLIMAP). I. Dissecting the Role of Magnetic Fields in the Massive Infrared Dark Cloud G28.37+0.07
Duo Xu et al., 2024
Working Paper | arXiv e-prints
DOI: 10.48550/arXiv.2401.11560
BIBCODE: 2024arXiv240111560L

CMR Exploration. II. Filament Identification with Machine Learning
Duo Xu et al., 2023
Journal Article | The Astrophysical Journal
DOI: 10.3847/1538-4357/acefce
BIBCODE: 2023ApJ…955..113X
Preprint: arXiv:2308.06641

Predicting the Radiation Field of Molecular Clouds Using Denoising Diffusion Probabilistic Models
Duo Xu et al., 2023
Working Paper | arXiv e-prints
DOI: 10.48550/arXiv.2309.05811
BIBCODE: 2023arXiv230905811X

Conclusion

Dr. Duo Xu demonstrates exceptional academic achievement, a broad impact in astrophysics, and a commitment to advancing knowledge through innovative methods like machine learning. His extensive list of awards, publications, and professional appointments, combined with his active engagement in the academic community, make him a highly suitable candidate for the Best Researcher Award.

 

 

 

 

 

 

 

 

Mayra Dayana Lopez Carrasquilla | Planetary Sciences | Best Keynote Speaker

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Ms. Mayra Dayana Lopez Carrasquilla | Planetary Sciences | Best Keynote Speaker

Scopus Profile

Educational Details

Mayra Dayana Lopez Carrasquilla is a dedicated scholar currently pursuing her Ph.D. in Geophysics at the University of Houston, where she maintains an impressive GPA of 3.79. Her dissertation focuses on the seismic and rock physics characterization of geothermal and geological storage reservoirs. She previously earned her M.Sc. in Geophysics from the Universidade Federal do Pará (UFPA) in Brazil, where her thesis involved a comprehensive analysis of synthetic bulk density logs using both linear and non-linear regressions, achieving a GPA of 3.65. Before that, she completed her B.S. in Geological Engineering at the Universidad Pedagógica y Tecnológica de Colombia (UPTC), with a thesis centered on the paleoenvironmental study of coals through organic petrography and their physicochemical properties. Throughout her academic journey, she has developed strong expertise in geophysics and geological engineering, with a focus on renewable energy and geological storage solutions.

Research Assistant:

Since August 2022, Mayra Dayana Lopez Carrasquilla has been contributing to multiple renewable energy and carbon capture and storage (CCS) projects at the University of Houston. Her work is centered on geothermal systems, CO2 injection monitoring, and seismic data processing. She has successfully applied machine learning and deep learning techniques to geophysics, enhancing the detection of fractures in rocks and improving geomechanical characterization. Through her innovative research, Mayra is helping to advance the understanding of subsurface processes, particularly in relation to renewable energy solutions and geological storage applications.

Professional Experience : 

During her internship at PGS in Houston, TX, from June to August 2023, Mayra Dayana Lopez Carrasquilla worked extensively on marine seismic data processing and 4D imaging. She utilized PGS SWIM technology to produce high-resolution results for CO2 storage investigations and Gulf of Mexico OBN data sets. By optimizing time and costs, she successfully achieved effective 4D responses with minimally processed data. Throughout the internship, Mayra enhanced her expertise in data processing, 4D imaging for oil and gas production, carbon sequestration monitoring, and seismic data analysis. This experience also strengthened her teamwork skills and deepened her knowledge of advanced marine seismic techniques.

Top Notable Publications

Carrasquilla, M.D.L., Sun, M., Long, T., Huang, L., & Zheng, Y. (2024). Seismic anisotropy of granitic rocks from a fracture stimulation well at Utah FORGE using ultrasonic measurements. Geothermics, 123, 103129.

Carrasquilla, M.D.L., Parsons, J., Long, T., Zheng, Y., & Han, D.-H. (2023). Ultrasonic measurements of elastic anisotropy of granitic rocks for enhanced geothermal reservoirs. SEG Technical Program Expanded Abstracts, 2023-August, 79–83.

Carrasquilla, M.D.L., Costa, M.D.F.B., Souza, I.J.S., Amanajás, C.E., & Nunes, L.R.A. (2022). Geological, geophysical and mathematical analysis of synthetic bulk density logs around the world – Part II – The use of non-linear regression on empirical parameters estimation. Journal of Applied Geophysics, 206, 104838.

Carrasquilla, M.D.L., Carvalho, C.P., Costa, M.D.F.B., Amanajás, C.E., & Rautino, L. (2022). Geological, geophysical and mathematical analysis of synthetic bulk density logs around the world – Part I – The use of linear regression on empirical parameters estimation. Journal of Applied Geophysics, 204, 104733.