CV

Education

• Ph.D candidate in Civil Engineering, Purdue University, West Lafayette, IN, USA, 2025 August (expected)
• M.S. in Electrical and Computer Engineering, Purdue University, West Lafayette, IN, 2025 May (expected)
• M.S. in Civil Engineering, National Taiwan University, Taipei, Taiwan, 2017
• B.S. in Civil Engineering, National Taiwan University, Taipei, Taiwan, 2015

Work experience

• August 2020 – Now: Open Source Software Developer
  • GRASS GIS, OSGeo
  • Skills: C, OpenMP, Python, Valgrind, Shell Script, Git/GitHub
  • Parallelized 3 interpolation and remote sensing processing modules using OpenMP and reduced runtime by 85%.
  • Devised unit tests and benchmark analyses by Python to enhance CI/CD and parallelization speedup checking.
• August 2020 – Now: Graduate Research Assistant
  • Purdue University, West Lafayette
  • Skills: Python, PyTorch, Dask, Git/GitHub
  • Devised Python packages and unit tests to process millions of geospatial points for engineering modeling.
  • Parallelized computing processes with Dask and made ×3.25 speedup with 0.81 efficiency.
  • Developed a generative model (GANs) to create river geometries and reduce prediction errors by 50%.
  • Cooperated with a cyberinfrastructure team to integrate tools with the website used by 10+ government agencies.
• January 2024 – April 2024: Data Mining Student Researcher
  • BASF & Purdue University
  • Skills: Python, Scikit-learn, Git/GitHub
  • Led a 7-member team to access and process soil, climate, and crops remote sensing data across states.
  • Predicted future corn yields by PCA, linear regression, and random forest with a below 20% error.
• October 2018 – June 2020: Research Assistant
  • Hydrotech Research Institute, National Taiwan University
  • Cooperated with teams from 3 research institutes to compare features between numerical hydraulic models.
  • Worked with USACE to build an economic cost-benefit assessment framework for engineering projects.

Skills

• Programming
  • MATLAB, Julia, Python, C/C++, Java, JavaScript, SQL, Shell Script, Git/GitHub
• Machine Learning and Deep Learning
  • PyTorch, TensorFlow, Keras, Scikit-learn
• High Perforrmance Computing
  • CUDA, MPI, OpenMP, Apache Spark, Dask, LLVM, Valgrind, Unix/Linux
• Language
  • English, Chinese (Mandarin)

Publications

RIMORPHIS-An information system for accessing and processing river morphology data

Merwade, V., Demir, I., Minear, J. T., Muste, M., Cox, A., Liang, C. Y., ... & Sermet, Y. (2023, December). RIMORPHIS-An information system for accessing and processing river morphology data. In AGU Fall Meeting Abstracts (Vol. 2023, pp. IN11A-07).

Quantifying long-term geomorphological changes in highly managed river channels of the United States

Dey, S., Liang, C. Y., Cox, A., & Merwade, V. (2023, December). Quantifying long-term geomorphological changes in highly managed river channels of the United States. In AGU Fall Meeting Abstracts (Vol. 2023, pp. EP34A-07).

Application of a Generative Deep Learning Model for Predicting River Bathymetry in Data Sparse Regions

Liang, C. Y., & Merwade, V. (2023, December). Application of a Generative Deep Learning Model for Predicting River Bathymetry in Data Sparse Regions. In AGU Fall Meeting Abstracts (Vol. 2023, No. 1748, pp. H23M-1748).

Predicting river bathymetry for data sparse regions with a GANs model

Liang, C. Y., Merwade, V., & Dey, S. (2022, December). Predicting river bathymetry for data sparse regions with a GANs model. In AGU Fall Meeting Abstracts (Vol. 2022, pp. EP42C-1610).

Introducing RIMORPHIS, the River Morphology Information System: An Online Community Resource for River Morphology Data and Tools

Merwade, V., Minear, J. T., Muste, M., Cox, A., Demir, I., Dey, S., ... & Sermet, Y. (2022, December). Introducing RIMORPHIS, the River Morphology Information System: An Online Community Resource for River Morphology Data and Tools. In Fall Meeting 2022. AGU.

SPRING-An automated and flexible framework for developing large-scale 3D representations of river network

Dey, S., Liang, C. Y., Merwade, V., & Saksena, S. (2021, December). SPRING-An automated and flexible framework for developing large-scale 3D representations of river network. In AGU Fall Meeting Abstracts (Vol. 2021, pp. H15F-1104).

Extracting river morphology features from single-beam bathymetry surveys

Liang, C. Y., Dey, S., & Merwade, V. (2021, December). Extracting river morphology features from single-beam bathymetry surveys. In AGU Fall Meeting Abstracts (Vol. 2021, pp. H15M-1194).

Evaluating the Cost of Failure Risk: A Case Study of the Kang-Wei-Kou Stream Diversion Project

Liang, C. Y., Wang, Y. H., You, G. J. Y., Chen, P. C., & Lo, E. (2021). Evaluating the Cost of Failure Risk: A Case Study of the Kang-Wei-Kou Stream Diversion Project. Water, 13(20), 2881.

Investigating the Effectiveness and Optimal Spatial Arrangement of Low-Impact Development Facilities

Liang, C. Y., You, G. J. Y., & Lee, H. Y. (2019). Investigating the effectiveness and optimal spatial arrangement of low-impact development facilities. Journal of Hydrology, 577, 124008.

Teaching

• TA for the graduate course: CE549 Computational Watershed Hydrology, Purdue University, 2022 Spring
• TA for the undergraduate course: CE 340 Hydraulics, Purdue University, 2022 Fall
• TA for the undergraduate course: CE 340 Hydraulics, Purdue University, 2023 Spring

Service and leadership

• 2021: Treasurer of the Taiwanese Student Association
  • Purdue University, West Lafayette, IL, USA
• 2014: Advisor of Debating Club
  • Cheng Gong senior high school, Taiwan
• 2013: Treasurer of the Student Association in Civil Engineering
  • National Taiwan University, Taiwan
• 2009: Director of Debating Club
  • Cheng Gong senior high school, Taiwan