Rushan Zhang

Education

• 2024.08 - Present The Georgia Institute of Technology (Georgia Tech)
  • PhD in Computational Science and Engineering, working with Prof. Qi Tang
• 2020.09 - 2024.06 The Hong Kong University of Science and Technology (HKUST)
  • BEng in Aerospace Engineering and BSc in Computer Science
  • Awardee of the Academic Achievement Medal (about top 1% of the class)
• 2022.08 - 2022.12 The Georgia Institute of Technology (Georgia Tech)
  • Exchange Student

Publication

• Structure-Preserving Transfer of Grad-Shafranov Equilibria to Magnetohydrodynamic Solvers (Paper, Presentation, Code)
  • Rushan Zhang, Golo Wimmer, Qi Tang
  • Journal of Computational Physics
  • Presented at MFEM Workshop 2025
• DoNet: Deep De-overlapping Network for Microscopy Instance Segmentation (Paper, Code)
  • Hao Jiang, Rushan Zhang, Yanning Zhou, Yumeng Wang, Hao Chen
  • Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023

Experience

• 2023.09 - 2024.06 Designing a high-performance airfoil by advanced CFD and machine-learning methods (Prof. Fu Lin@HKUST, Final Year Design Project for Aerospace Engineering)
  • Designing, implementing and evaluating machine-learning-based methods for airfoil shape optimization, and comparing results with numerical adjoint methods and experimental results
  • Inspiration:
    • Machine learning methods excel in identifying coarse global optima, while numerical adjoint methods excel in refining local optima
    • Combining these two methods could potentially yield improved results
• 2023.09 - 2024.06 Adversarial or reinforcement learning-based closed-loop training strategy for PINN-based fluid simulators that generalize (Prof. Dit-Yan YEUNG@HKUST, Final Year Project for Computer Science)
  • Designing, implementing and evaluating a closed-loop training strategy for PINN-based fluid simulator with adversarial or reinforcement learning, to achieve enhanced generalizability
  • Inspiration:
    • Closed-loop strategy can more efficiently explore the solution space
    • Training strategies like RL and AL can be used to form a closed-loop process
• 2023.06 - 2023.08 Iterative surrogate model optimization for transient fluid structure interaction (Prof. Dr. Robert Katzschmann@ETH Zurich, Summer Research Internship)
  • Designing, implementing and evaluating surrogate models for fluid structure interaction, conducting optimization with the resultant surrogate models
  • Inspiration:
    • Modeling transient fluid flow as a Markov process to enable single-step prediction of flow evolution
    • Introducing shape representation from the field of computer vision to enable monolithic modeling of fluid-structure interaction
    • Introducing active learning techniques to reduce the number of samples required for optimization
• 2022.02 - 2023.08 Deep learning for medical image analysis (Prof. Chen Hao@HKUST, Undergraduate Research Opportunity Program)
  • Designing, implementing and evaluating a novel de-overlapping strategy for semi-transparent cervical cell segmentation
  • Inspiration:
    • Using extra information from the overlapping area and the non-overlapping area to guide the segmentation of the whole cell
  • Publication: CVPR2023: DoNet: Deep De-overlapping Network for Microscopy Instance Segmentation
• 2021.06 - 2021.09, Digitalization of wet lab project (WeShare Tech Limited, Student Helper)
  • Implementing the hazard warning feature with pop-up windows
  • Role:
    • Front-end development with Vue.js

Extracurricular Activities

• Aerial robot development team member, HKUST ENTERPRIZE Robo Master Team — 2020 Fall - 2022 Spring
  • Collaborating in a team for mechanical design and manufacturing of robots
• Hackathon, hackUST 2022 — 2022 Spring
  • Collaborating in a team for the development of a webapp called School Application Helper, helping students to manage school application requirements and timelines
  • Github repository; Video demo
• Research assistant, Prof. Ki Ling CHEUNG@HKUST — 2022 Summer - 2022 Winter
  • MySQL database maintenance and data washing with Dask
  • Providing technical support for researchers from different technical backgrounds
• Peer mentor, COMP & CPEG Mentor-Mentee Scheme — 2023 Fall
  • Providing mentoring to second-year students admitted to the computer science and engineering department
• Exchange buddy, Exchange Buddy Program — 2023 Spring, 2023 Fall
  • Helping exchange students navigate the HKUST campus

Skills

• C/C++: C++(intermediate), C(elementary); notes: C++ basic notes, C++ OOP notes
• Python: PyTorch(master), NumPy(master), TensorFlow(intermediate), Django(intermediate), Pandas(intermediate)
• CAD: SolidWorks(master)
• Documentation: Markdown(master), LaTeX(master)
• Webapp Development: Vue.js(intermediate), React.js(elementary), MySQL(intermediate), Google Firebase(elementary)
• Soft Skills: Collaboration and leadership, self-learning, self-motivation, time management