ZHANG Rushan
Education
- The Hong Kong University of Science and Technology (HKUST) — 2020 Fall – Present
- BEng in Aerospace Engineering and BSc in Computer Science
- Top 2% in the class (No. 1 out of 41 students as of 2023 Fall)
- CGA 3.979/4.300
- Aerospace Engineering: Thermodynamics [A+]; Fluid Mechanics [A+]; Aerodynamics [A]; Aircraft Performance and Stability [A+]; Computational Fluid Dynamics [A+]
- Computer Science: Programming with C++ [A+]; Object-Oriented Programming and Data Structures [A+]; Software Engineering [A+]; Design and Analysis of Algorithms; Deep Learning in Medical Image Analysis; Machine Learning [A-]
- Awards:
- HKIE Aviation Scholarship (Nominated) — Fall 2023
- School of Engineering Dean’s List — Fall 2020-2021, Spring 2020-2021, Fall 2021-2022, Spring 2021-2022, Spring 2022-2023
- HKSAR Government Scholarship Fund – Reaching Out Award — Fall 2022-2023
- The BDR Scholarship – Academic Performance — 2022-2023
- University’s Scholarship Scheme for Continuing Undergraduate Students — 2021-2022, 2023-2024
- The Georgia Institute of Technology (Georgia Tech) — 2022 Fall
- Exchange Student
- CGA 4.000/4.000
- Aerospace Engineering: Aerothermodynamics [A]; Jet and Rocket Propulsion [A]; Computational Fluid Dynamics [A]
- Computer Science: Computer Vision [A]; Systems and Networks [A]; Introduction to Database Systems [A]
Publication
- DoNet: Deep De-overlapping Network for Microscopy Instance Segmentation
Experience
- Iterative surrogate model optimization for transient fluid structure interaction (Summer research, Prof. Dr. Robert Katzschmann@ETH Zurich) — 2023 Summer – Present
- 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
- Role: Project leader
- Aiming for publication at ICML 2024 as the first author
- Deep learning for medical image analysis (Undergraduate research, Prof. Chen Hao@HKUST) — 2022 Spring – Present
- 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
- Role: Co-first author
- Publication: CVPR2023: DoNet: Deep De-overlapping Network for Microscopy Instance Segmentation
- Designing a high-performance airfoil by advanced CFD and machine-learning methods (Final year design project for aerospace engineering, Prof. Fu Lin@HKUST) — 2023 Fall – Present
- 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
- Role: Project proposer and leader
- Adversarial or reinforcement learning-based closed-loop training strategy for PINN-based fluid simulators that generalize (Final year project for computer science, Prof. Dit-Yan YEUNG@HKUST) — 2023 Fall – Present
- 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
- Role: Project proposer and leader
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
- Student helper, Prof. Yang Jinglei@HKUST — 2021 Summer
- Collaborating with the back-end group, in charge of the Vue-based front-end programing
- Implementing the hazard warning function with pop-up windows
- 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++ programming
- C++(intermediate), C(elementary)
- notes: C++ basic notes, C++ OOP notes
- Python programming
- PyTorch(master), NumPy(master), Matplotlib(master), TensorFlow(intermediate), Django(intermediate), Scrapy(intermediate), Dask(intermediate), Pandas(elementary)
- 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