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Haolin
Liu

Ph.D. student, Mechanical Engineering, Carnegie Mellon University

Research Assistant, Visual Design and Engineering Lab, Mechanical Engineering, Carnegie Mellon University

E-mail: haolinl@andrew.cmu.edu; hlinliu1996@gmail.com

CV (Resume) Google Scholar

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research interests & Objectives

I blend a background in computational mechanics, soft material engineering and mechanical analysis. My research interests include computational mechanics, computational design, flexible and soft robotics, additive manufacturing, and their application and implementation from the engineering and design perspectives.

Skill sets

Software Implementation

Abaqus, Ansys, OpenFOAM

Programming

Python, C++, Matlab

Experiment & Physical Prototyping

Dynamic Mechanical Analysis (DMA), Scanning electron microscope (SEM), 3D printing

PUblished & submitted research

Click the figure below to get more information.

ONGOING research projects

Pre-surgical patch inverse design based on corotated thin-shell FEM

May 2020 - present

Heat and light responsive actuator system design based on LCE, involving material characterization, theoretical modeling and numerical analysis.

Tumor deformation tracking: ANN based deformation reconstruction

May 2020 - present

Implement PCA on tumor’s deformation fields and obtain PCA’s weights, then pick fiducial markers within the tumor and obtain their displacement vector. Train an ANN based on the displacement vector and the corresponding weights and use it to reconstruct the tumor’s whole deformation.

PaDGAN aerodynamic design: GAN-based optimization for aircraft’s wings

May 2020 - present

Establish the pipeline called PaDGAN based on Generative Adversial Network (GAN) and Determinantal Point Process (DPP); Verify both the aerodynamic performance and design’s diversity; Implement PaDGAN on 3D aircraft’s wings.

courses & related side projects

CMU 24-787: Machine Learning Application in Engineering and Technology

Instructor: Amir Barati Farimani, Fall 2018

Project: Airfoil Aerodynamic Parameters Calculation Method Based on CNN

Github link: https://github.com/HaolinCMU/CNN-for-Airfoil

CMU 24-785: Engineering Optimization

Instructor: Ge Lv, Spring 2019

Project: Airfoil Optimization Based on CNN and Derivative-free Algorithms

Github link: https://github.com/HaolinCMU/Airfoil_Optimization_GA_SA

CMU 24-673: Soft Robots: Mechanics, Design and Modeling

Instructor: Carmel Majidi, Spring 2020

Project: 3D Printed Light-Responsive LCE Based Soft Arm with Honeycomb Topology

CMU 16-720: Computer Vision

Instructor: Srinivasa Narasimhan, Spring 2019

CMU 15-662: Computer Graphics

Instructor: Jim McCann, Fall 2019

Participated presentations

Manufacturing Futures Initiative (MFI) 2019 @ CMU, poster session & Presentation

SimuLearn, April 2019

Nextmanufacturing 2019 @ CMU, poster session & presentation

SimuLearn, August 2019

Education

BEIHANG UNIVERSITY, CHINA

B.E., AEROSPACE SCIENCE AND ENGINEERING
Graduated June 2018

CARNEGIE MELLON UNIVERSITY, USA

M.S.R., MECHANICAL ENGINEERING
Graduated May 2020

language skills

TOEFL: 108 (L:27 R:29 S:25 W:27)

GRE: 327 (V:157 Q:170 AW:3.0)

Fluent speaking ability in English and Chinese

Advanced writing skill in English

Contact

Email: haolinl@andrew.cmu.edu
Phone: 412-708-6592
Address: 3612 Newell Simon Hall, Carnegie Mellon University, Pittsburgh, PA 15213