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Headshot of Joseph Choi
PhD Student

Joseph Choi

Email: nmf8dm@virginia.edu

Additional Contact Information

Website: josephbchoi.github.io
Advisor:
  • Stephen Baek
Entry Year: 2021
Office: 108 Cresap, Rm. 103
CV
Google Scholar
GitHub

Profile

Research

Why pursue a Ph.D. in Data Science?

A data-driven approach to problem-solving allows us to integrate creativity and critical thinking into designing models with versatility. I value the potential of deep learning — it can uncover data patterns we weren't aware of and could further extend our knowledge in the domain.

Education

  • B.S. in Mathematics and Computer Science 2017, University of Iowa
  • Associate of Science 2015, Kirkwood Community College
Data Science Domains
Analytics, Design
Methodologies
Generative Artificial Intelligence, Physics-Informed Neural Networks

Selected Publications

Choi, J., Nguyen, P., Sen, O., Udaykumar, H.S., Baek, S. (2023). Artificial Intelligence approaches for energetic materials by design: state of the art, challenges, and future directions. Propellants, Explosives, Pyrotechnics 48(4). 

Nguyen, P., Nguyen, Y., Choi, J., Seshadri, P., Udaykumar, H. S., Baek, S. (2023). PARC: Physics-aware recurrent convolutional neural networks to assimilate meso scale reactive mechanics of energetic materials. Science Advance 9. 

Chun, S., Roy, S., Nguyen, Y., Choi, J., Udaykumar, H.S., Baek, S. (2020). Deep learning for synthetic microstructure generation in a materials-by-design framework for heterogeneous energetic materials. Scientific Reports 10(13307). 

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