Resume

Education

Sep. 2020  -  Aug. 2024 

Carnegie Mellon University

Ph.D. in Civil Engineering

• Advisor: Dr. Pingbo Tang

• Thesis: Trustworthy Civil Infrastructure Inspection Through Human-Machine Intelligence with Language Models

Sep. 2013  -  Jun. 2017

Chongqing University

M.S. in Civil Engineering

• Advisor: Dr. Jiepeng Liu and Dr. Liang Feng

• Thesis: Towards Automated Clash Resolution of Reinforcing Steel Design in Reinforced Concrete Frames and Precast Concrete Sandwich Panels Via Reinforcement Learning and Building Information Modeling

Sep. 2013  -  Jun. 2017

Chongqing University

B.S. in Civil Engineering

Academic Experiences

Sep. 2020 – May 2024 

Carnegie Mellon University

Research Assistant in Civil Engineering

• Research: Trustworthy Civil Infrastructure Inspection Through Human-Machine Intelligence with Language Models

May. 2019 – Oct. 2019

The Hong Kong Polytechnic University

Research Assistant in the Department of Building and Real Estate

• Advisor: Dr. Hung-Lin CHI

• Research: Development of Fatigue Warning System for Construction Machinery Operators by Using Hybrid Deep Learning Networks

June. 2018 – July. 2018

Tongji University

Summer Workshop, DigitalFUTURES in Architectural Department

• Advisor: Dr. Jiawei Yao

• Research: AI-Driven Multi-agents Urbanism and Artificial Intelligence City Design

Summer 2016

National Taiwan University

Research Assistant in the Department of Building and Real Estate

• Advisor: Dr. Shang-Hsien Hsieh

• Summer School: +L2 Emerging Technology in Civil and Building Engineering: BIM

Professional Experiences

Summer 2023

Ansys Inc. | Engineering Simulation Software

DIGITAL TWIN SOLUTION ENGINEER INTERN | Project Video

• Built an automatic workflow with GUI (PyQt) for dynamic reduced order model generation (prediction machine learning model for physical simulation) to improve the accuracy and efficiency of the model creation by 70%

• Carried out internal A/B testing to compare the original half-automatic methods and automatic workflow for model creation to optimize the workflow and GUI.

• Developed the prototype of co-simulation for a digital twin platform (Twin Builder) with a real-time GPU simulation-driven design tool (Discovery) to provide live data. 

• Improved the efficiency of digital twin co-simulation, providing real-time predictive insights.

• Decided the digital twin solutions for battery management systems in the electric vehicles for pre-sales customers by integrating the thermal CFD model with twin builder for simulating the battery performances.

Summer 2020

Bosch Center for Artificial Intelligence (BCAI)

MACHINE LEARNING ENGINEER INTERN | Project News

• Built AutoML pipeline by automatically comparing different regression models (Gradient Boosting, AdaBoost, and Random Forest) to forecast future demand for cooling load in the Bosch factory.

• Minimized active chiller power by controlling chilled water supply temperature and flow rate by SQLSQP.

• Designed GUI (PyQt) for field operators to upload data and auto-retrain prediction models.

• Achieved energy savings for chilled water systems in the Bosch factory by up to 10%

Summer 2017

Jones Lang Lasalle                                                                    

STRATEGY CONSULTANT INTERN

• Identified the potential impact radius of a real estate project and formulated strategic plans for project land use, contributing to improved efficiency in land utilization.

• Developed a population growth model to forecast future demographic shifts, assisting in project planning.

• Generated projections for the project's future cash flows, providing insights into financial and risk management.

Summer 2016

ARUP

ENGINEERING CONSULTANT INTERN    

• Delivered engineering consulting services to the prestigious Raffles Plaza project under the CapitaLand Group.

• Undertook rigorous engineering design checks and validation processes to identify potential issues, mitigate risk, and reduce rectification costs in the later stages of the project.