Hi there!
My name is Bo Peng (彭博), and I hold a PhD in civil engineering from NYU Abu Dhabi. Alongside my doctoral studies, I also completed a second master’s degree in computer science through Georgia Tech’s OMSCS program. My passion lies in computer graphics (CG), particularly in geometry modeling and processing. Additionally, my research experience spans computer vision (CV), machine learning (ML), and deep learning (DL). This blog serves as a platform to share and document the insights and knowledge I’ve gained from my academic and research journey. My goal is to contribute to the convergence of engineering, computer science, and emerging technologies.
Education
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New York University Abu Dhabi 2019.09 - 2024.05
PhD in Civil Engineering -
Georgia Institute of Technology 2021.01 - 2022.12
MS in Computer Science -
Tongji University 2016.09 - 2019.06
MEng in Architectural and Civil Engineering -
Tongji University 2012.09 - 2016.06
BEng in Civil Engineering
Research Interests
Computer Graphics, Geometry Modeling and Processing, Machine Learning, Computer Vision
Publications
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High Performance Computing for Simulation of the Urban Microclimate
Matthias Fitzky, Bo Peng, Vivaldi Rinaldi, and Masoud Ghandehari
104th AMS Annual Meeting -
Design and Assessment of NYUAD-1 Lunar Regolith Simulants
Bo Peng, Prabu Thannasi, and Kemal Celik
74th International Astronautical Congress 2023 -
Filler Effects of CaCO₃ Polymorphs Derived from Limestone and Seashell on Hydration and Carbonation of Magnesium Oxide (MgO) Cement (RMC)
Rotana Hay, Bo Peng, and Kemal Celik
Cement and Concrete Research -
3D Shape Analysis of Lunar Regolith Simulants
Bo Peng, Rotana Hay, and Kemal Celik
73rd International Astronautical Congress 2022 -
Engineering Practices on Surface Damage Inspection and Performance Evaluation of Concrete Bridges in China
Airong Chen, Xurui Fang, Zichao Pan, Dalei Wang, Yue Pan, and Bo Peng
Structural Concrete -
A Novel Vision-Based Framework for Identifying Dynamic Vehicle Loads on Long-Span Bridges: A Case Study of Jiangyin Bridge, China
Yue Pan, Dalei Wang, Yiqing Dong, and Bo Peng
IEEE Transactions on Intelligent Transportation Systems -
Manufacturing and Characterization of Lunar Regolith Simulants
Rotana Hay, Bo Peng, and Kemal Celik
72nd International Astronautical Congress 2021 -
An Automated Inspection Method for the Steel Box Girder Bottom of Long-span Bridges Based on Deep Learning
Dalei Wang, Yiquan Zhang, Yue Pan, Bo Peng, Haoran Liu, and Rujin Ma
IEEE Access -
Steel Box-Girder Bridge Diseases Identification Based on Computer Vision System
Dalei Wang, Yue Pan, and Bo Peng
9th International Association for Bridge Maintenance and Safety (IABMAS 2018) -
Corrosion Segmentation and Quantitative Analysis Based on Deep Neural Networks
Dalei Wang, Bo Peng, and Yue Pan
9th International Association for Bridge Maintenance and Safety (IABMAS 2018) -
Current Status and Thinking of Chinese Ancient Bridges Protection
Bo Peng, Dalei Wang
International Association for Bridge and Structural Engineering (IABSE 2017)
Research Experience
- Characterization and Manufacturing of Lunar Regolith Simulants
- Characterize commercial lunar regolith simulants with XRD, SEM and optical microscope.
- Produce lunar regolith simulants with local availiable deposits in the UAE.
- 3D shape reconstruction of aggregates with micro-CT.
- Develop 3D shape descriptors with spherical harmonics.
- Shape generation with PCA and VAE generative models.
- Geospatial Modelling of Urban Thermodynamics: Infrastructure, Environment, and Microclimate in Cities
- Develop algorithms for thermal imaging interpretation and atmosphere compensation.
- Optimize camera pose and intrinsics with bundle adjustment.
- Monitor building facade temperature in New York city and Abu Dhabi.
- Present pixel-level temperature comparison between thermal measurement and CFD simulation.
- Vehicle Load Identification and Data Fusion Based on Computer Vision
- Create a vehicle detection dataset from surveillance videos.
- Develop vehicle detection and tracking algorithms with deep neural networks.
- Analyze traffic flow and loading history with Monte Carlo simulation.
- Surface Diseases Identification for Long-Span Cable Bridge
- Develop an automated image acquisition system to capture images under bridge deck.
- Create a surface disease dataset for steel bridge inspection.
- Train a semantic segmentation model for surface disease identification with deep neural networks.
- Wind Resistance Analysis of Jiqi Yellow River Bridge
- Finite element modeling and numerical simulation for wind resistance analysis.
- Seismic Analysis of Pihe River Aqueduct
- Finite element modeling and numerical simulation for seismic analysis.
- Seismic Analysis of Wushui Bridge
- Finite element modeling and numerical simulation for seismic analysis.
Online Courses
OMSCS
- CS 6200: Graduate Intro to OS
- CSE 6220: Intro to High-Performance Computing
- CS 6601: Artificial Intelligence
- CS 6476: Computer Vision
- CS 7641: Machine Learning
- CS 7643: Deep Learning
- ISYE 6644: Simulation and Modeling for Engineering and Science
- CS 7642: Reinforcement Learning
- CS 7638: Artificial Intelligence for Robotics
- CS 6515: Intro to Grad Algorithms
Coursera
- Probabilistic Graphical Models Specialization
- Applied Data Science with Python Specialization
- Machine Learning with TensorFlow on Google Cloud Platform Specialization
- Machine Learning
- Deep Learning Specialization
- Advanced Machine Learning with TensorFlow on Google Cloud Platform Specialization
- Machine Learning Foundations(Part I, II)
- AI For Everyone
- Programming Languages(Part A, B, C)
- Algorithms Specialization
- Self-Driving Cars Specialization
- Python 3 Programming Specialization
- DeepLearning.AI TensorFlow Developer
- Reinforcement Learning Specialization
- TensorFlow: Data and Deployment Specialization
- Accelerated Computer Science Fundamentals Specialization
- Machine Learning Techniques
- Natural Language Processing Specialization
- Generative Adversarial Networks (GANs) Specialization
edX
- Computer Graphics
- MITx’s Statistics and Data Science MicroMasters Program
Graphics And Mixed Environment Seminar (GAMES)
- GAMES-101: Introduction to Modern Computer Graphics (certificate)
- GAMES-102: Geometry Modeling and Processing
- GAMES-202: Real-Time High Quality Rendering (certificate)
- GAMES-103: Intro to Physics-Based Animation (certificate)
- GAMES-104: Modern Game Engine-Theory and Practice
- GAMES-301: Surface Parameterization
深蓝学院
- 机器人学中的状态估计(State Estimation for Robotics)
- 视觉SLAM理论与实践(Introduction to Visual SLAM)
- 移动机器人运动规划(Motion Planning for Mobile Robotics)
- ROS理论与实践：以移动机器人为例(Introduction to ROS)
- 基于深度学习的物体检测(Object Detection with Deep Learning)
- 激光SLAM理论与实践(Introduction to Laser SLAM)
- C++基础与深度解析(C++ Foundations)
- 图深度学习理论与实践(Deep Learning on Graphs)